From e68f2fb894d890eeead6acf0cc3341478312f1fd Mon Sep 17 00:00:00 2001 From: Tom Vaucourt <34662901+T0mSIlver@users.noreply.github.com> Date: Fri, 6 Mar 2026 17:41:12 +0100 Subject: [PATCH 01/37] server : preserve anthropic thinking blocks in conversion (#20120) * server : preserve anthropic thinking blocks in conversion (#20090) * server : add tests for anthropic thinking block conversion --------- Co-authored-by: root --- tools/server/server-common.cpp | 10 +- .../tests/unit/test_compat_anthropic.py | 133 ++++++++++++++++++ 2 files changed, 141 insertions(+), 2 deletions(-) diff --git a/tools/server/server-common.cpp b/tools/server/server-common.cpp index ff3c6d3c2b..13ea8c690f 100644 --- a/tools/server/server-common.cpp +++ b/tools/server/server-common.cpp @@ -1463,6 +1463,7 @@ json convert_anthropic_to_oai(const json & body) { json tool_calls = json::array(); json converted_content = json::array(); json tool_results = json::array(); + std::string reasoning_content; bool has_tool_calls = false; for (const auto & block : content) { @@ -1470,6 +1471,8 @@ json convert_anthropic_to_oai(const json & body) { if (type == "text") { converted_content.push_back(block); + } else if (type == "thinking") { + reasoning_content += json_value(block, "thinking", std::string()); } else if (type == "image") { json source = json_value(block, "source", json::object()); std::string source_type = json_value(source, "type", std::string()); @@ -1528,16 +1531,19 @@ json convert_anthropic_to_oai(const json & body) { } } - if (!converted_content.empty() || has_tool_calls) { + if (!converted_content.empty() || has_tool_calls || !reasoning_content.empty()) { json new_msg = {{"role", role}}; if (!converted_content.empty()) { new_msg["content"] = converted_content; - } else if (has_tool_calls) { + } else if (has_tool_calls || !reasoning_content.empty()) { new_msg["content"] = ""; } if (!tool_calls.empty()) { new_msg["tool_calls"] = tool_calls; } + if (!reasoning_content.empty()) { + new_msg["reasoning_content"] = reasoning_content; + } oai_messages.push_back(new_msg); } diff --git a/tools/server/tests/unit/test_compat_anthropic.py b/tools/server/tests/unit/test_compat_anthropic.py index e16e0235c6..93ff03be6b 100644 --- a/tools/server/tests/unit/test_compat_anthropic.py +++ b/tools/server/tests/unit/test_compat_anthropic.py @@ -809,6 +809,139 @@ def test_anthropic_vs_openai_different_response_format(): # Extended thinking tests with reasoning models +# The next two tests cover the input path (conversation history): +# Client sends thinking blocks -> convert_anthropic_to_oai -> reasoning_content -> template + +def test_anthropic_thinking_history_in_count_tokens(): + """Test that interleaved thinking blocks in conversation history are not dropped during conversion.""" + global server + server.jinja = True + server.chat_template_file = '../../../models/templates/Qwen-Qwen3-0.6B.jinja' + server.start() + + tool = { + "name": "list_files", + "description": "List files", + "input_schema": { + "type": "object", + "properties": {"path": {"type": "string"}}, + "required": ["path"] + } + } + + messages_without_thinking = [ + {"role": "user", "content": "Fix the bug"}, + { + "role": "assistant", + "content": [ + {"type": "tool_use", "id": "call_1", "name": "list_files", "input": {"path": "."}} + ] + }, + { + "role": "user", + "content": [ + {"type": "tool_result", "tool_use_id": "call_1", "content": "main.py"} + ] + }, + ] + + messages_with_thinking = [ + {"role": "user", "content": "Fix the bug"}, + { + "role": "assistant", + "content": [ + {"type": "thinking", "thinking": "I should check the project structure first to understand the codebase layout."}, + {"type": "tool_use", "id": "call_1", "name": "list_files", "input": {"path": "."}} + ] + }, + { + "role": "user", + "content": [ + {"type": "tool_result", "tool_use_id": "call_1", "content": "main.py"} + ] + }, + ] + + res_without = server.make_request("POST", "/v1/messages/count_tokens", data={ + "model": "test", + "messages": messages_without_thinking, + "tools": [tool], + }) + assert res_without.status_code == 200, f"Expected 200: {res_without.body}" + + res_with = server.make_request("POST", "/v1/messages/count_tokens", data={ + "model": "test", + "messages": messages_with_thinking, + "tools": [tool], + }) + assert res_with.status_code == 200, f"Expected 200: {res_with.body}" + + # Thinking blocks should increase the token count + assert res_with.body["input_tokens"] > res_without.body["input_tokens"], \ + f"Expected more tokens with thinking ({res_with.body['input_tokens']}) than without ({res_without.body['input_tokens']})" + + +def test_anthropic_thinking_history_in_template(): + """Test that reasoning_content from converted interleaved thinking blocks renders in the prompt.""" + global server + server.jinja = True + server.chat_template_file = '../../../models/templates/Qwen-Qwen3-0.6B.jinja' + server.start() + + reasoning_1 = "I should check the project structure first." + reasoning_2 = "Now I need to read the main file." + + res = server.make_request("POST", "/apply-template", data={ + "messages": [ + {"role": "user", "content": "Fix the bug in main.py"}, + { + "role": "assistant", + "content": "", + "reasoning_content": reasoning_1, + "tool_calls": [{ + "id": "call_1", + "type": "function", + "function": {"name": "list_files", "arguments": "{\"path\": \".\"}"} + }] + }, + {"role": "tool", "tool_call_id": "call_1", "content": "main.py\nutils.py"}, + { + "role": "assistant", + "content": "", + "reasoning_content": reasoning_2, + "tool_calls": [{ + "id": "call_2", + "type": "function", + "function": {"name": "read_file", "arguments": "{\"path\": \"main.py\"}"} + }] + }, + {"role": "tool", "tool_call_id": "call_2", "content": "print('hello')"}, + ], + "tools": [{ + "type": "function", + "function": { + "name": "list_files", + "description": "List files", + "parameters": {"type": "object", "properties": {"path": {"type": "string"}}, "required": ["path"]} + } + }, { + "type": "function", + "function": { + "name": "read_file", + "description": "Read a file", + "parameters": {"type": "object", "properties": {"path": {"type": "string"}}, "required": ["path"]} + } + }], + }) + assert res.status_code == 200, f"Expected 200, got {res.status_code}: {res.body}" + prompt = res.body["prompt"] + + # Both reasoning_content values should be rendered in tags + assert reasoning_1 in prompt, f"Expected first reasoning text in prompt: {prompt}" + assert reasoning_2 in prompt, f"Expected second reasoning text in prompt: {prompt}" + assert prompt.count("") >= 2, f"Expected at least 2 blocks in prompt: {prompt}" + + @pytest.mark.slow @pytest.mark.parametrize("stream", [False, True]) def test_anthropic_thinking_with_reasoning_model(stream): From 34df42f7bef5a711b2b40f5d2b6b78254def99c3 Mon Sep 17 00:00:00 2001 From: Todor Boinovski Date: Fri, 6 Mar 2026 09:59:26 -0800 Subject: [PATCH 02/37] hexagon: add f32 ssm_conv op (#20122) * hexagon: add ssm_conv op * hexagon: hvx kernel is functional * hexagon: improvements to ssm-conv hvx kernel * hexagon: added dma to ssm-conv hvx kernel * hexagon: ssm-conv dynamically compute gather scratchpad * hex-ssm-conv: add local context and fix various issues (spad indexing, etc) --------- Co-authored-by: Max Krasnyansky --- ggml/src/ggml-hexagon/ggml-hexagon.cpp | 57 ++++ ggml/src/ggml-hexagon/htp/CMakeLists.txt | 1 + ggml/src/ggml-hexagon/htp/htp-msg.h | 1 + ggml/src/ggml-hexagon/htp/htp-ops.h | 4 +- ggml/src/ggml-hexagon/htp/hvx-utils.h | 8 + ggml/src/ggml-hexagon/htp/main.c | 49 ++++ ggml/src/ggml-hexagon/htp/ssm-conv.c | 339 +++++++++++++++++++++++ 7 files changed, 456 insertions(+), 3 deletions(-) create mode 100644 ggml/src/ggml-hexagon/htp/ssm-conv.c diff --git a/ggml/src/ggml-hexagon/ggml-hexagon.cpp b/ggml/src/ggml-hexagon/ggml-hexagon.cpp index b70da8f3b2..d6e9776b87 100644 --- a/ggml/src/ggml-hexagon/ggml-hexagon.cpp +++ b/ggml/src/ggml-hexagon/ggml-hexagon.cpp @@ -2152,6 +2152,44 @@ static bool ggml_hexagon_supported_rope(const struct ggml_hexagon_session * sess return true; } +static bool ggml_hexagon_supported_ssm_conv(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) { + const struct ggml_tensor * src0 = op->src[0]; + const struct ggml_tensor * src1 = op->src[1]; + const struct ggml_tensor * dst = op; + + // Only support FP32 for now + if (src0->type != GGML_TYPE_F32 || src1->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) { + return false; + } + + // Check IO tensor shapes and dims + if (src0->ne[3] != 1 || src1->ne[2] != 1 || src1->ne[3] != 1 || dst->ne[3] != 1) { + return false; // src0 should be effectively 3D + } + + const int d_conv = src1->ne[0]; + const int d_inner = src0->ne[1]; + const int n_t = dst->ne[1]; + const int n_s = dst->ne[2]; + + if (src0->ne[0] != d_conv - 1 + n_t || src0->ne[1] != d_inner || src0->ne[2] != n_s) { + return false; + } + if (src1->ne[0] != d_conv || src1->ne[1] != d_inner) { + return false; + } + if (dst->ne[0] != d_inner || dst->ne[1] != n_t || dst->ne[2] != n_s) { + return false; + } + + // TODO: add support for non-contiguous tensors + if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1) || !ggml_is_contiguous(dst)) { + return false; + } + + return true; +} + enum dspqbuf_type { DSPQBUF_TYPE_DSP_WRITE_CPU_READ = 0, DSPQBUF_TYPE_CPU_WRITE_DSP_READ, @@ -2468,6 +2506,17 @@ static inline size_t init_flash_attn_ext_req(htp_general_req * req, dspqueue_buf return n_bufs; } +static inline size_t init_ssm_conv_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) { + req->op = HTP_OP_SSM_CONV; + + size_t n_bufs = 0; + n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ); + n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CONSTANT); + n_bufs += htp_req_buff_init(&req->dst, &bufs[n_bufs], t, DSPQBUF_TYPE_DSP_WRITE_CPU_READ); + + return n_bufs; +} + static const char * ggml_backend_hexagon_name(ggml_backend_t backend) { auto sess = static_cast(backend->context); return sess->name.c_str(); @@ -2606,6 +2655,10 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg ggml_hexagon_dispatch_op(sess, node, flags); break; + case GGML_OP_SSM_CONV: + ggml_hexagon_dispatch_op(sess, node, flags); + break; + default: GGML_ABORT("\nggml-hex: graph-compute %s is not supported\n", ggml_op_desc(node)); } @@ -3024,6 +3077,10 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons supp = ggml_hexagon_supported_argsort(sess, op); break; + case GGML_OP_SSM_CONV: + supp = ggml_hexagon_supported_ssm_conv(sess, op); + break; + default: break; } diff --git a/ggml/src/ggml-hexagon/htp/CMakeLists.txt b/ggml/src/ggml-hexagon/htp/CMakeLists.txt index 2c23b60da3..02d07a503d 100644 --- a/ggml/src/ggml-hexagon/htp/CMakeLists.txt +++ b/ggml/src/ggml-hexagon/htp/CMakeLists.txt @@ -31,6 +31,7 @@ add_library(${HTP_LIB} SHARED get-rows-ops.c cpy-ops.c argsort-ops.c + ssm-conv.c ) target_compile_definitions(${HTP_LIB} PRIVATE diff --git a/ggml/src/ggml-hexagon/htp/htp-msg.h b/ggml/src/ggml-hexagon/htp/htp-msg.h index 25403bb112..52dcc36d8f 100644 --- a/ggml/src/ggml-hexagon/htp/htp-msg.h +++ b/ggml/src/ggml-hexagon/htp/htp-msg.h @@ -68,6 +68,7 @@ enum htp_op { HTP_OP_SQR, HTP_OP_SQRT, HTP_OP_SUM_ROWS, + HTP_OP_SSM_CONV, INVALID }; diff --git a/ggml/src/ggml-hexagon/htp/htp-ops.h b/ggml/src/ggml-hexagon/htp/htp-ops.h index 127ab1d665..2ef20936f1 100644 --- a/ggml/src/ggml-hexagon/htp/htp-ops.h +++ b/ggml/src/ggml-hexagon/htp/htp-ops.h @@ -41,9 +41,6 @@ struct htp_ops_context { worker_pool_context_t * wpool; // worker pool uint32_t n_threads; // num threads - uint32_t src0_nrows_per_thread; - uint32_t src1_nrows_per_thread; - uint32_t flags; }; @@ -61,5 +58,6 @@ int op_set_rows(struct htp_ops_context * octx); int op_get_rows(struct htp_ops_context * octx); int op_cpy(struct htp_ops_context * octx); int op_argsort(struct htp_ops_context * octx); +int op_ssm_conv(struct htp_ops_context * octx); #endif /* HTP_OPS_H */ diff --git a/ggml/src/ggml-hexagon/htp/hvx-utils.h b/ggml/src/ggml-hexagon/htp/hvx-utils.h index a518ad3733..0834379879 100644 --- a/ggml/src/ggml-hexagon/htp/hvx-utils.h +++ b/ggml/src/ggml-hexagon/htp/hvx-utils.h @@ -15,4 +15,12 @@ #include "hvx-div.h" #include "hvx-base.h" +#ifndef GATHER_TYPE +# if defined(__hexagon__) +# define GATHER_TYPE(_a) (intptr_t) _a +# else +# define GATHER_TYPE(_a) (HVX_Vector *) _a +# endif +#endif + #endif /* HVX_UTILS_H */ diff --git a/ggml/src/ggml-hexagon/htp/main.c b/ggml/src/ggml-hexagon/htp/main.c index 92a1422896..3f99dbb32c 100644 --- a/ggml/src/ggml-hexagon/htp/main.c +++ b/ggml/src/ggml-hexagon/htp/main.c @@ -757,6 +757,47 @@ static void proc_sum_rows_req(struct htp_context * ctx, struct htp_general_req * send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof); } +static void proc_ssm_conv_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) { + struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS]; + + // We've written to the output buffer, we'd also need to flush it + rsp_bufs[0].fd = bufs[2].fd; + rsp_bufs[0].ptr = bufs[2].ptr; + rsp_bufs[0].offset = bufs[2].offset; + rsp_bufs[0].size = bufs[2].size; + rsp_bufs[0].flags = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | // Flush HTP + DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); // Invalidate CPU + + // Setup OP context + struct htp_ops_context octx = { 0 }; + octx.ctx = ctx; + octx.src0 = req->src0; + octx.src1 = req->src1; + octx.dst = req->dst; + octx.flags = req->flags; + octx.op = req->op; + + memcpy(octx.op_params, req->op_params, sizeof(octx.op_params)); + + // Update data pointers + octx.src0.data = (uint32_t) bufs[0].ptr; + octx.src1.data = (uint32_t) bufs[1].ptr; + octx.dst.data = (uint32_t) bufs[2].ptr; + octx.n_threads = ctx->n_threads; + + struct profile_data prof; + profile_start(&prof); + + uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR; + if (vtcm_acquire(ctx) == AEE_SUCCESS) { + rsp_status = op_ssm_conv(&octx); + vtcm_release(ctx); + } + + profile_stop(&prof); + send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof); +} + static void proc_activations_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs, @@ -1142,6 +1183,14 @@ static void htp_packet_callback(dspqueue_t queue, int error, void * context) { proc_argsort_req(ctx, &req, bufs); break; + case HTP_OP_SSM_CONV: + if (n_bufs != 3) { + FARF(ERROR, "Bad ssm-conv-req buffer list"); + continue; + } + proc_ssm_conv_req(ctx, &req, bufs); + break; + default: FARF(ERROR, "Unknown Op %u", req.op); break; diff --git a/ggml/src/ggml-hexagon/htp/ssm-conv.c b/ggml/src/ggml-hexagon/htp/ssm-conv.c new file mode 100644 index 0000000000..b3c1ef9572 --- /dev/null +++ b/ggml/src/ggml-hexagon/htp/ssm-conv.c @@ -0,0 +1,339 @@ +#pragma clang diagnostic ignored "-Wunused-variable" +#pragma clang diagnostic ignored "-Wunused-function" +#pragma clang diagnostic ignored "-Wunused-but-set-variable" + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#define GGML_COMMON_DECL_C +#include "ggml-common.h" +#include "htp-ctx.h" +#include "hex-dma.h" +#include "htp-msg.h" +#include "htp-ops.h" +#include "hvx-utils.h" + +#define htp_ssm_conv_tensors_preamble \ + struct htp_tensor * restrict src0 = &octx->src0; \ + struct htp_tensor * restrict src1 = &octx->src1; \ + struct htp_tensor * restrict dst = &octx->dst; \ + struct htp_spad * restrict src0_spad = &octx->src0_spad; \ + struct htp_spad * restrict src1_spad = &octx->src1_spad; \ + struct htp_spad * restrict dst_spad = &octx->dst_spad; \ + \ + const uint32_t ne00 = src0->ne[0]; \ + const uint32_t ne01 = src0->ne[1]; \ + const uint32_t ne02 = src0->ne[2]; \ + const uint32_t ne03 = src0->ne[3]; \ + \ + const uint32_t ne10 = src1->ne[0]; \ + const uint32_t ne11 = src1->ne[1]; \ + const uint32_t ne12 = src1->ne[2]; \ + const uint32_t ne13 = src1->ne[3]; \ + \ + const uint32_t ne0 = dst->ne[0]; \ + const uint32_t ne1 = dst->ne[1]; \ + const uint32_t ne2 = dst->ne[2]; \ + const uint32_t ne3 = dst->ne[3]; \ + \ + const uint32_t nb00 = src0->nb[0]; \ + const uint32_t nb01 = src0->nb[1]; \ + const uint32_t nb02 = src0->nb[2]; \ + const uint32_t nb03 = src0->nb[3]; \ + \ + const uint32_t nb10 = src1->nb[0]; \ + const uint32_t nb11 = src1->nb[1]; \ + const uint32_t nb12 = src1->nb[2]; \ + const uint32_t nb13 = src1->nb[3]; \ + \ + const uint32_t nb0 = dst->nb[0]; \ + const uint32_t nb1 = dst->nb[1]; \ + const uint32_t nb2 = dst->nb[2]; \ + const uint32_t nb3 = dst->nb[3]; + +struct htp_ssm_conv_context { + struct htp_ops_context * octx; + uint32_t nrows_per_thread; + uint64_t t_start; +}; + +#define htp_ssm_conv_preamble \ + struct htp_ssm_conv_context * scctx = (struct htp_ssm_conv_context *) data; \ + struct htp_ops_context * octx = scctx->octx; \ + htp_ssm_conv_tensors_preamble; \ + dma_queue * dma_queue = octx->ctx->dma[ith]; + +// Scalar FP32 SSM_CONV implementation +static void ssm_conv_thread_f32_f32(unsigned int nth, unsigned int ith, void *data) { + htp_ssm_conv_preamble; + + uint64_t t1, t2; + t1 = HAP_perf_get_qtimer_count(); + + const uint32_t d_conv = src1->ne[0]; + const uint32_t d_inner = src0->ne[1]; + const uint32_t n_t = dst->ne[1]; + const uint32_t n_s = dst->ne[2]; + + const uint32_t src0_stride_inner = src0->nb[1] / sizeof(float); // stride for inner dimension + const uint32_t src0_stride_seq = src0->nb[2] / sizeof(float); // stride for sequence dimension + const uint32_t src1_stride_inner = src1->nb[1] / sizeof(float); // stride for inner dimension + const uint32_t dst_stride_token = dst->nb[1] / sizeof(float); // stride for token dimension + const uint32_t dst_stride_seq = dst->nb[2] / sizeof(float); // stride for sequence dimension + + const float * src0_data = (const float *) src0->data; + const float * src1_data = (const float *) src1->data; + float * dst_data = (float *) dst->data; + + // Calculate row range for this thread + const uint32_t d_inner_per_thread = scctx->nrows_per_thread; + const uint32_t d_inner_start = d_inner_per_thread * ith; + const uint32_t d_inner_end = MIN(d_inner_start + d_inner_per_thread, d_inner); + + // No work for this thread + if (d_inner_start >= d_inner_end) { + return; + } + + for (uint32_t i3 = 0; i3 < n_s; ++i3) { + for (uint32_t i2 = 0; i2 < n_t; ++i2) { + for (uint32_t i1 = d_inner_start; i1 < d_inner_end; ++i1) { + float sumf = 0.0f; + + for (uint32_t i0 = 0; i0 < d_conv; ++i0) { + const uint32_t src0_idx = (i2 + i0) + i1 * src0_stride_inner + i3 * src0_stride_seq; + const uint32_t src1_idx = i0 + i1 * src1_stride_inner; + + sumf += src0_data[src0_idx] * src1_data[src1_idx]; + } + + const uint32_t dst_idx = i1 + i2 * dst_stride_token + i3 * dst_stride_seq; + dst_data[dst_idx] = sumf; + } + } + } + + t2 = HAP_perf_get_qtimer_count(); + + FARF(HIGH, "ssm-conv-f32 %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", + ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], d_inner_start, d_inner_end, + src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1], + dst->ne[2], dst->ne[3], (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1)); +} + +// HVX FP32 SSM_CONV implementation - vectorizes across d_inner dimension +static void ssm_conv_thread_f32_f32_hvx(unsigned int nth, unsigned int ith, void *data) { + htp_ssm_conv_preamble; + + uint64_t t1, t2; + t1 = HAP_perf_get_qtimer_count(); + + const int nc = src1->ne[0]; // d_conv + const int ncs = src0->ne[0]; // d_conv - 1 + n_t + + const uint32_t d_conv = src1->ne[0]; + const uint32_t d_inner = src0->ne[1]; + const uint32_t n_t = dst->ne[1]; + const uint32_t n_s = dst->ne[2]; + + const float * src0_data = (const float *) src0->data; + const float * src1_data = (const float *) src1->data; + float * dst_data = (float *) dst->data; + + // Calculate row range for this thread + const int dr = scctx->nrows_per_thread; + const uint32_t ir0 = dr * ith; + const uint32_t ir1 = MIN(ir0 + dr, d_inner); + const int ir = ir1 - ir0; + + if (ir0 >= ir1) { + return; // No work for this thread + } + + // src0 and src1 gather offsets + uint32_t __attribute__((aligned(VLEN))) src0_offsets[VLEN_FP32] = { 0 }; + uint32_t __attribute__((aligned(VLEN))) src1_offsets[VLEN_FP32] = { 0 }; + + for (uint32_t i = 0; i < VLEN_FP32; ++i) { + src0_offsets[i] = i * (ncs) * sizeof(float); + src1_offsets[i] = i * (d_conv) * sizeof(float); + } + + const uint32_t src0_gather_len = VLEN * ncs; + const uint32_t src1_gather_len = VLEN * d_conv; + + // gather scratchpads + HVX_Vector * src0_vec = (HVX_Vector *) (octx->ctx->vtcm_base + ith * VLEN*2 + 0); + HVX_Vector * src1_vec = (HVX_Vector *) (octx->ctx->vtcm_base + ith * VLEN*2 + VLEN); + + float * data_src0 = (float *) ((char *) src0->data + ir0 * src0->nb[1]); + float * data_src1 = (float *) ((char *) src1->data + ir0 * src1->nb[1]); + + uint8_t * spad_src0 = octx->src0_spad.data + ith * octx->src0_spad.size_per_thread; + uint8_t * spad_src1 = octx->src1_spad.data + ith * octx->src1_spad.size_per_thread; + + // copy src1 workload to VTCM + dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(spad_src1, data_src1), nb11, nb11, ir); + + // FARF(HIGH, "ssm-conv-src1-fetch %d: ir0 %u size %u\n", ith, ir0, nb11 * ir); + + for (uint32_t i3 = 0; i3 < n_s; ++i3) { + float * src0_data_ptr = (float *) ((char *) data_src0 + i3 * (src0->nb[2])); + + // copy src0 workload to VTCM + dma_queue_push_ddr_to_vtcm(dma_queue, dma_make_ptr(spad_src0, src0_data_ptr), nb01, nb01, ir); + + // FARF(HIGH, "ssm-conv-src0-fetch %d: ir0 %u i3 %u size %u\n", ith, ir0, i3, nb01 * ir); + + dma_queue_flush(dma_queue); + + for (uint32_t i2 = 0; i2 < n_t; ++i2) { + float * dst_ptr = (float *) ((char *) dst->data + ir0 * (dst->nb[0]) + i2 * (dst->nb[1]) + i3 * (dst->nb[2])); + + const uint32_t nvec = ir / VLEN_FP32; + const uint32_t nloe = ir % VLEN_FP32; + uint32_t i1 = 0; + + for (uint32_t vi1 = 0; vi1 < nvec; vi1++) { + HVX_Vector acc_vec = Q6_V_vsplat_R(0); + + for (uint32_t i0 = 0; i0 < d_conv; ++i0) { + Q6_vgather_ARMVw(src0_vec, GATHER_TYPE(spad_src0 + (i0 + i1 * ncs) * sizeof(float) + i2 * (src0->nb[0])), + src0_gather_len, (*(const HVX_Vector *) src0_offsets)); + Q6_vgather_ARMVw(src1_vec, GATHER_TYPE(spad_src1 + (i0 + i1 * nc) * sizeof(float)), + src1_gather_len, (*(const HVX_Vector *) src1_offsets)); + + HVX_Vector prod = Q6_Vqf32_vmpy_VsfVsf(*(const HVX_Vector *) src0_vec, *(const HVX_Vector *) src1_vec); + acc_vec = Q6_Vqf32_vadd_Vqf32Vqf32(acc_vec, prod); + } + + *(HVX_UVector *) (dst_ptr + i1) = Q6_Vsf_equals_Vqf32(acc_vec); + i1 += VLEN_FP32; + } + + if (nloe) { + HVX_Vector acc_vec = Q6_V_vsplat_R(0); + + for (uint32_t i0 = 0; i0 < d_conv; ++i0) { + Q6_vgather_ARMVw(src0_vec, GATHER_TYPE(spad_src0 + (i0 + i1 * ncs) * sizeof(float) + i2 * (src0->nb[0])), + src0_gather_len, (*(const HVX_Vector *) src0_offsets)); + Q6_vgather_ARMVw(src1_vec, GATHER_TYPE(spad_src1 + (i0 + i1 * nc) * sizeof(float)), + src1_gather_len, (*(const HVX_Vector *) src1_offsets)); + + HVX_Vector prod = Q6_Vqf32_vmpy_VsfVsf(*(const HVX_Vector *) src0_vec, *(const HVX_Vector *) src1_vec); + acc_vec = Q6_Vqf32_vadd_Vqf32Vqf32(acc_vec, prod); + } + + hvx_vec_store_u(dst_ptr + i1, (ir - i1) * 4, Q6_Vsf_equals_Vqf32(acc_vec)); + } + } + } + + t2 = HAP_perf_get_qtimer_count(); + + FARF(HIGH, "ssm-conv-f32-hvx %d/%d: %ux%ux%ux%u (%u:%u) * %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", + ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ir0, ir1, + src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0], dst->ne[1], + dst->ne[2], dst->ne[3], (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1)); +} + +int op_ssm_conv_f32(struct htp_ops_context * octx) { + htp_ssm_conv_tensors_preamble; + + if (src0->type != HTP_TYPE_F32 || src1->type != HTP_TYPE_F32 || dst->type != HTP_TYPE_F32) { + FARF(ERROR, "ssm_conv: only (F32 x F32 -> F32) OPs supported"); + return HTP_STATUS_NO_SUPPORT; + } + + struct htp_ssm_conv_context scctx = { 0 }; + scctx.octx = octx; + + const uint32_t d_conv = src1->ne[0]; + const uint32_t d_inner = src0->ne[1]; + const uint32_t n_t = dst->ne[1]; // tokens per sequence + const uint32_t n_s = dst->ne[2]; // number of sequences in the batch + + const uint32_t n_threads = MIN(octx->n_threads, d_inner); + + if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) { + uint32_t use_hvx = 0; + if (d_inner >= VLEN_FP32 && d_inner % VLEN_FP32 == 0) { + int is_aligned = hex_is_aligned((void *) src0->data, VLEN) && + hex_is_aligned((void *) src1->data, VLEN) && + hex_is_aligned((void *) dst->data, VLEN); + + if (is_aligned) { + use_hvx = 1; + } + } + + if (use_hvx) { + scctx.nrows_per_thread = (d_inner + n_threads - 1) / n_threads; // d_inner chunks per thread + scctx.nrows_per_thread += (scctx.nrows_per_thread & 1); // round up to even + + octx->src0_spad.size_per_thread = hex_round_up(scctx.nrows_per_thread * nb01, 256); + octx->src1_spad.size_per_thread = hex_round_up(scctx.nrows_per_thread * nb11, 256); + octx->dst_spad.size_per_thread = hex_round_up(scctx.nrows_per_thread * sizeof(float), 256); + + octx->src0_spad.size = octx->src0_spad.size_per_thread * n_threads; + octx->src1_spad.size = octx->src1_spad.size_per_thread * n_threads; + octx->dst_spad.size = octx->dst_spad.size_per_thread * n_threads; + + // Compute gather scratchpad size for src0 and src1 + const size_t gather_spad_size = n_threads * VLEN * 2; + + octx->src0_spad.data = octx->ctx->vtcm_base + gather_spad_size; + octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; + octx->dst_spad.data = octx->src1_spad.data + octx->src1_spad.size; + + FARF(HIGH, "ssm_conv-f32: gather-spad:%zu spad-per-thread:(%u:%u:%u) spad-sizes:(%u:%u:%u) spad-data:(%p:%p:%p)\n", + gather_spad_size, octx->src0_spad.size_per_thread, octx->src1_spad.size_per_thread, + octx->dst_spad.size_per_thread, octx->src0_spad.size, octx->src1_spad.size, octx->dst_spad.size, + octx->src0_spad.data, octx->src1_spad.data, octx->dst_spad.data); + + const size_t total_spad_size = + gather_spad_size + octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size; + + if (total_spad_size > octx->ctx->vtcm_size) { + FARF(HIGH, "ssm_conv-f32: HVX scratchpad size %zu exceeds VTCM size %zu", total_spad_size, + octx->ctx->vtcm_size); + use_hvx = 0; + } + } + + FARF(HIGH, "ssm-conv-f32: (%ux%ux%ux%u) x (%ux%ux%ux%u) -> (%ux%ux%ux%u) : use_hvx %d\n", src0->ne[0], + src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3], dst->ne[0], + dst->ne[1], dst->ne[2], dst->ne[3], use_hvx); + + if (use_hvx) { + worker_pool_run_func(octx->ctx->worker_pool, ssm_conv_thread_f32_f32_hvx, &scctx, n_threads); + } else { + worker_pool_run_func(octx->ctx->worker_pool, ssm_conv_thread_f32_f32, &scctx, n_threads); + } + } + + return HTP_STATUS_OK; +} + +int op_ssm_conv(struct htp_ops_context * octx) { + int err = HTP_STATUS_OK; + struct htp_tensor * dst = &octx->dst; + + switch (dst->type) { + case HTP_TYPE_F32: + err = op_ssm_conv_f32(octx); + break; + default: + err = HTP_STATUS_NO_SUPPORT; + break; + } + + return err; +} From 566059a26b0ce8faec4ea053605719d399c64cc5 Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Fri, 6 Mar 2026 21:01:00 +0100 Subject: [PATCH 03/37] Autoparser - complete refactoring of parser architecture (#18675) * Autoparser - full single commit squish * Final pre-merge changes: minor fixes, Kimi 2.5 model parser --- common/CMakeLists.txt | 8 +- common/chat-auto-parser-generator.cpp | 413 ++ common/chat-auto-parser-helpers.cpp | 347 + common/chat-auto-parser-helpers.h | 73 + common/chat-auto-parser.h | 433 ++ common/chat-diff-analyzer.cpp | 1330 ++++ common/chat-parser-xml-toolcall.cpp | 879 --- common/chat-parser-xml-toolcall.h | 45 - common/chat-parser.cpp | 1649 ----- common/chat-parser.h | 133 - common/chat-peg-parser.cpp | 776 ++- common/chat-peg-parser.h | 219 +- common/chat.cpp | 2993 ++------- common/chat.h | 253 +- common/common.cpp | 2 +- common/jinja/caps.cpp | 129 +- common/jinja/runtime.cpp | 4 +- common/jinja/value.h | 2 +- common/json-schema-to-grammar.cpp | 155 +- common/peg-parser.cpp | 483 +- common/peg-parser.h | 45 +- common/unicode.cpp | 48 +- common/unicode.h | 9 +- docs/autoparser.md | 525 ++ docs/development/parsing.md | 10 +- examples/json_schema_to_grammar.py | 5 + models/templates/Apertus-8B-Instruct.jinja | 14 +- .../Apriel-1.6-15b-Thinker-fixed.jinja | 172 + .../templates/Bielik-11B-v3.0-Instruct.jinja | 77 + ...AI-c4ai-command-r7b-12-2024-tool_use.jinja | 4 +- models/templates/GLM-4.7-Flash.jinja | 86 + models/templates/LFM2-8B-A1B.jinja | 47 + models/templates/Qwen-QwQ-32B.jinja | 1 + models/templates/Qwen3-Coder.jinja | 4 +- models/templates/StepFun3.5-Flash.jinja | 80 + ...seek-ai-DeepSeek-R1-Distill-Llama-8B.jinja | 45 +- ...seek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja | 48 +- .../templates/deepseek-ai-DeepSeek-V3.1.jinja | 72 +- ...fireworks-ai-llama-3-firefunction-v2.jinja | 2 +- models/templates/moonshotai-Kimi-K2.jinja | 86 +- models/templates/unsloth-Apriel-1.5.jinja | 8 +- scripts/server-test-model.py | 202 + tests/CMakeLists.txt | 7 +- tests/peg-parser/test-basic.cpp | 17 + tests/peg-parser/test-python-dict-parser.cpp | 318 + tests/peg-parser/tests.h | 1 + tests/test-backend-ops.cpp | 2 + tests/test-chat-auto-parser.cpp | 1889 ++++++ tests/test-chat-parser.cpp | 617 -- tests/test-chat-peg-parser.cpp | 1143 ++-- tests/test-chat-template.cpp | 137 +- tests/test-chat.cpp | 5791 +++++++---------- tests/test-json-schema-to-grammar.cpp | 20 + tests/test-peg-parser.cpp | 1 + tools/CMakeLists.txt | 1 + tools/cli/cli.cpp | 4 +- tools/parser/CMakeLists.txt | 20 + tools/parser/debug-template-parser.cpp | 452 ++ tools/parser/template-analysis.cpp | 611 ++ .../public_legacy/json-schema-to-grammar.mjs | 4 + tools/server/server-task.cpp | 70 +- tools/server/server-task.h | 4 +- tools/server/tests/unit/test_tool_call.py | 13 +- 63 files changed, 12967 insertions(+), 10071 deletions(-) create mode 100644 common/chat-auto-parser-generator.cpp create mode 100644 common/chat-auto-parser-helpers.cpp create mode 100644 common/chat-auto-parser-helpers.h create mode 100644 common/chat-auto-parser.h create mode 100644 common/chat-diff-analyzer.cpp delete mode 100644 common/chat-parser-xml-toolcall.cpp delete mode 100644 common/chat-parser-xml-toolcall.h delete mode 100644 common/chat-parser.cpp delete mode 100644 common/chat-parser.h create mode 100644 docs/autoparser.md create mode 100755 models/templates/Apriel-1.6-15b-Thinker-fixed.jinja create mode 100644 models/templates/Bielik-11B-v3.0-Instruct.jinja create mode 100644 models/templates/GLM-4.7-Flash.jinja create mode 100644 models/templates/LFM2-8B-A1B.jinja create mode 100644 models/templates/StepFun3.5-Flash.jinja create mode 100644 scripts/server-test-model.py create mode 100644 tests/peg-parser/test-python-dict-parser.cpp create mode 100644 tests/test-chat-auto-parser.cpp delete mode 100644 tests/test-chat-parser.cpp create mode 100644 tools/parser/CMakeLists.txt create mode 100644 tools/parser/debug-template-parser.cpp create mode 100644 tools/parser/template-analysis.cpp diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt index 27ca335be3..51bff1c44b 100644 --- a/common/CMakeLists.txt +++ b/common/CMakeLists.txt @@ -47,10 +47,10 @@ add_library(${TARGET} STATIC arg.cpp arg.h base64.hpp - chat-parser.cpp - chat-parser.h - chat-parser-xml-toolcall.h - chat-parser-xml-toolcall.cpp + chat-auto-parser-generator.cpp + chat-auto-parser-helpers.cpp + chat-auto-parser.h + chat-diff-analyzer.cpp chat-peg-parser.cpp chat-peg-parser.h chat.cpp diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp new file mode 100644 index 0000000000..080bce5002 --- /dev/null +++ b/common/chat-auto-parser-generator.cpp @@ -0,0 +1,413 @@ +#include "chat-auto-parser.h" +#include "chat-peg-parser.h" +#include "chat.h" +#include "json-schema-to-grammar.h" +#include "nlohmann/json.hpp" + +#include +#include + +using json = nlohmann::ordered_json; + +// Helper to iterate over tools/functions +static void foreach_function(const json & tools, const std::function & fn) { + for (const auto & tool : tools) { + if (!tool.contains("type") || tool.at("type") != "function" || !tool.contains("function")) { + continue; + } + fn(tool); + } +} + +namespace autoparser { + +parser_build_context::parser_build_context(common_chat_peg_builder & p, const templates_params & inputs) : + p(p), + inputs(inputs), + reasoning_parser(p.eps()) {} + +common_chat_params peg_generator::generate_parser(const common_chat_template & tmpl, + const struct templates_params & inputs) { + // Run differential analysis to extract template structure + struct autoparser autoparser; + autoparser.analyze_template(tmpl); + return generate_parser(tmpl, inputs, autoparser); +} + +common_chat_params peg_generator::generate_parser(const common_chat_template & tmpl, + const struct templates_params & inputs, + const autoparser & autoparser) { + // Build the parser using the analysis results + auto parser = autoparser.build_parser(inputs); + + // Create the result structure + common_chat_params data; + data.prompt = common_chat_template_direct_apply(tmpl, inputs); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.preserved_tokens = autoparser.preserved_tokens; + data.parser = parser.save(); + + // Build grammar if tools are present + bool has_tools = + autoparser.tools.format.mode != tool_format::NONE && inputs.tools.is_array() && !inputs.tools.empty(); + std::string trigger_marker = !autoparser.tools.format.section_start.empty() ? autoparser.tools.format.section_start : + autoparser.tools.format.per_call_start; + bool include_grammar = + has_tools && ((inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO && !trigger_marker.empty()) || + inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED); + + if (include_grammar) { + data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool.at("function"); + auto schema = function.at("parameters"); + builder.resolve_refs(schema); + }); + parser.build_grammar(builder, data.grammar_lazy); + }); + + // Set grammar triggers based on tool section markers (fall back to per-call markers) + if (data.grammar_lazy) { // only do triggers on lazy grammar + data.grammar_triggers = { + { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, trigger_marker } + }; + } + } + + return data; +} + +common_peg_arena autoparser::build_parser(const templates_params & inputs) const { + if (!analysis_complete) { + throw std::invalid_argument("Cannot call build_parser on autoparser without performing analysis first, call analyze_template(...)"); + } + return build_chat_peg_parser([&](common_chat_peg_builder & p) { + // If the template uses Python dict format (single-quoted strings in JSON structures), + // pre-register a json-string rule that accepts both quote styles. This must happen + // before any call to p.json() so that all JSON parsing inherits the flexible rule. + if (tools.format.uses_python_dicts) { + p.rule("json-string", [&]() { return p.choice({ p.double_quoted_string(), p.single_quoted_string() }); }); + } + + parser_build_context ctx(p, inputs); + bool extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; + bool enable_thinking = inputs.enable_thinking; + + ctx.extracting_reasoning = extract_reasoning && enable_thinking && reasoning.mode != reasoning_mode::NONE; + ctx.content = &content; + + // Build reasoning parser + ctx.reasoning_parser = reasoning.build_parser(ctx); + + bool has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + bool has_response_format = inputs.json_schema.is_object() && !inputs.json_schema.empty(); + + if (has_response_format) { + return ctx.reasoning_parser + p.space() + + p.content(p.schema(p.json(), "response-format", inputs.json_schema)) + p.end(); + } + + if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && jinja_caps.supports_tool_calls) { + return tools.build_parser(ctx); + } + + return content.build_parser(ctx); + }); +} + +common_peg_parser analyze_reasoning::build_parser(parser_build_context & ctx) const { + auto & p = ctx.p; + + if (!ctx.extracting_reasoning) { + return p.eps(); + } + + bool thinking_forced_open = (mode == reasoning_mode::FORCED_OPEN); + bool thinking_forced_closed = (mode == reasoning_mode::FORCED_CLOSED); + + if (thinking_forced_open || thinking_forced_closed) { + // Thinking is forced open OR forced closed with enable_thinking=true + // In both cases, expect only the closing tag (opening was in template) + return p.reasoning(p.until(end)) + end; + } + if (mode == reasoning_mode::TAG_BASED || mode == reasoning_mode::TOOLS_ONLY) { + // Standard tag-based reasoning OR tools-only mode (reasoning appears with tools) + // Both use the same tag-based pattern if markers are available + if (!start.empty() && !end.empty()) { + return p.optional(start + p.reasoning(p.until(end)) + end); + } + } else if (mode == reasoning_mode::DELIMITER) { + return p.optional(p.reasoning(p.until(end)) + end); + } + + return p.eps(); +} + +common_peg_parser analyze_content::build_parser(parser_build_context & ctx) const { + auto & p = ctx.p; + + if (is_always_wrapped()) { + if (ctx.extracting_reasoning) { + return ctx.reasoning_parser + start + p.content(p.until(end)) + end + p.end(); + } + return p.content(p.until(start)) + start + p.content(p.until(end)) + end + p.end(); + } + return ctx.reasoning_parser + p.content(p.rest()) + p.end(); +} + +common_peg_parser analyze_content::build_optional_wrapped(parser_build_context & ctx) const { + auto & p = ctx.p; + + if (is_always_wrapped()) { + return p.optional(start + p.content(p.until(end)) + end); + } + return p.eps(); +} + +common_peg_parser analyze_tools::build_parser(parser_build_context & ctx) const { + switch (format.mode) { + case tool_format::JSON_NATIVE: + return build_tool_parser_json_native(ctx); + case tool_format::TAG_WITH_JSON: + return build_tool_parser_tag_json(ctx); + case tool_format::TAG_WITH_TAGGED: + return build_tool_parser_tag_tagged(ctx); + default: + GGML_ABORT("Unable to create tool parser"); + } +} + +common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_context & ctx) const { + auto & p = ctx.p; + const auto & inputs = ctx.inputs; + bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED; + + // Build effective field names with dot notation if function_field is set + std::string name_field = format.name_field; + std::string args_field = format.args_field; + + if (!format.function_field.empty() && format.function_field != "function" && + name_field.find('.') == std::string::npos) { + name_field = format.function_field + "." + name_field; + args_field = format.function_field + "." + args_field; + } + + auto tools_parser = p.standard_json_tools( + format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls, + inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped, + format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order); + + // Handle content wrappers if present + if (ctx.content && ctx.content->is_always_wrapped()) { + auto wrapped_content = ctx.content->build_optional_wrapped(ctx); + return ctx.reasoning_parser + wrapped_content + tools_parser + p.end(); + } + + std::string tool_start = "{"; + if (!format.section_start.empty()) { + tool_start = format.section_start; + } else if (!format.per_call_start.empty()) { + tool_start = format.per_call_start; + } + + return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(p.until(tool_start)))) + tools_parser + + p.end(); +} + +common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context & ctx) const { + auto & p = ctx.p; + const auto & inputs = ctx.inputs; + bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED; + + common_peg_parser tool_choice = p.choice(); + + foreach_function(inputs.tools, [&](const json & tool) { + const auto & func = tool.at("function"); + std::string name = func.at("name"); + const auto & schema = func.at("parameters"); + + // Build call_id parser based on position (if supported) + common_peg_parser call_id_section = p.eps(); + if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() && + !call_id.suffix.empty()) { + call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix; + } + + auto func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)); + if (!function.close.empty()) { + func_parser = func_parser + function.close; + } + func_parser = p.atomic(func_parser); + + tool_choice |= p.rule("tool-" + name, func_parser); + }); + + auto require_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED; + + common_peg_parser tool_calls = p.eps(); + + if (!format.per_call_start.empty()) { + auto wrapped_call = format.per_call_start + tool_choice + format.per_call_end; + if (inputs.parallel_tool_calls) { + tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call)); + } else { + tool_calls = p.trigger_rule("tool-call", wrapped_call); + } + if (!format.section_start.empty()) { + tool_calls = p.trigger_rule("tool-calls", + p.literal(format.section_start) + p.space() + tool_calls + p.space() + + (format.section_end.empty() ? p.end() : p.literal(format.section_end))); + } + } else { + std::string separator = ", "; // Default + if (inputs.parallel_tool_calls) { + tool_calls = p.trigger_rule("tool-call", format.section_start + tool_choice + + p.zero_or_more(separator + tool_choice) + format.section_end); + } else { + tool_calls = p.trigger_rule("tool-call", format.section_start + tool_choice + format.section_end); + } + } + + if (!require_calls) { + tool_calls = p.optional(tool_calls); + } + + std::string trigger_marker = !format.section_start.empty() ? format.section_start : format.per_call_start; + auto content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker); + return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls + + p.end(); +} + +common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_context & ctx) const { + auto & p = ctx.p; + const auto & inputs = ctx.inputs; + bool force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED; + + common_peg_parser tool_choice = p.choice(); + + foreach_function(inputs.tools, [&](const json & tool) { + const auto & func = tool.at("function"); + std::string name = func.at("name"); + const auto & params = func.at("parameters"); + + if (!params.contains("properties") || !params.at("properties").is_object()) { + return; + } + + const auto & properties = params.at("properties"); + std::set required; + if (params.contains("required") && params.at("required").is_array()) { + params.at("required").get_to(required); + } + + // Build parser for each argument + std::vector arg_parsers; + for (const auto & [param_name, param_schema] : properties.items()) { + bool is_required = required.find(param_name) != required.end(); + std::string type = "object"; + auto type_obj = param_schema.contains("type") ? param_schema.at("type") : json::object(); + if (type_obj.is_string()) { + type_obj.get_to(type); + } else if (type_obj.is_object()) { + if (type_obj.contains("type") && type_obj.at("type").is_string()) { + type_obj.at("type").get_to(type); + } + } + + auto arg = p.tool_arg( + p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param_name)) + + arguments.name_suffix) + + arguments.value_prefix + + (type == "string" ? p.tool_arg_string_value(p.schema(p.until(arguments.value_suffix), + "tool-" + name + "-arg-" + param_name + "-schema", + param_schema, true)) : + p.tool_arg_json_value(p.schema( + p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, format.uses_python_dicts)) + + p.space()) + + p.tool_arg_close(p.literal(arguments.value_suffix))); + + if (is_required) { + arg_parsers.push_back(p.rule("tool-" + name + "-arg-" + param_name, arg)); + } else { + arg_parsers.push_back(p.optional(p.rule("tool-" + name + "-arg-" + param_name, arg))); + } + } + + // Build arg sequence with space() between consecutive args + common_peg_parser args_seq = p.eps(); + for (size_t i = 0; i < arg_parsers.size(); i++) { + if (i > 0) { + args_seq = args_seq + p.space(); + } + args_seq = args_seq + arg_parsers[i]; + } + + // Build call_id parser based on position (if supported) + common_peg_parser call_id_section = p.eps(); + if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() && + !call_id.suffix.empty()) { + call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix; + } + + auto func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section + p.space() + args_seq; + + if (!function.close.empty()) { + func_parser = func_parser + p.space() + p.tool_close(p.literal(function.close)); + } else if (!format.per_call_end.empty()) { + // When there's no func_close but there is a per_call_end marker, use peek() to ensure + // we only emit tool_close when we can actually see the closing marker. This prevents + // premature closing during partial parsing when we've seen e.g. "" (end) or "" prefix that failed to match. + func_parser = func_parser + p.tool_close(p.peek(p.literal(format.per_call_end))); + } else { + func_parser = + func_parser + p.tool_close(p.space()); // force this to process tool closing callbacks in mapper + } + + func_parser = p.atomic(func_parser); + tool_choice |= p.rule("tool-" + name, func_parser); + }); + + auto require_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED; + + common_peg_parser tool_calls = p.eps(); + + if (!format.per_call_start.empty()) { + auto wrapped_call = format.per_call_start + p.space() + tool_choice + p.space() + format.per_call_end; + if (inputs.parallel_tool_calls) { + tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call)); + } else { + tool_calls = p.trigger_rule("tool-call", wrapped_call); + } + if (!format.section_start.empty()) { + tool_calls = p.trigger_rule("tool-calls", + p.literal(format.section_start) + p.space() + tool_calls + p.space() + + (format.section_end.empty() ? p.end() : p.literal(format.section_end))); + } + } else { + std::string separator = ", "; // Default + + if (inputs.parallel_tool_calls) { + tool_calls = p.trigger_rule("tool-call", format.section_start + p.space() + tool_choice + + p.zero_or_more(separator + tool_choice) + p.space() + + format.section_end); + } else { + tool_calls = p.trigger_rule( + "tool-call", format.section_start + p.space() + tool_choice + p.space() + format.section_end); + } + } + + if (!require_tools) { + tool_calls = p.optional(tool_calls); + } + + std::string trigger_marker = !format.section_start.empty() ? format.section_start : format.per_call_start; + auto content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker); + return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls + + p.end(); +} + +} // namespace autoparser diff --git a/common/chat-auto-parser-helpers.cpp b/common/chat-auto-parser-helpers.cpp new file mode 100644 index 0000000000..1519d8bc6c --- /dev/null +++ b/common/chat-auto-parser-helpers.cpp @@ -0,0 +1,347 @@ +#include "chat-auto-parser-helpers.h" + +#include "chat-auto-parser.h" +#include "chat.h" +#include "log.h" +#include "nlohmann/json.hpp" + +#include +#include + +using json = nlohmann::ordered_json; + +std::string trim_whitespace(const std::string & str) { + size_t start = 0; + while (start < str.length() && std::isspace(static_cast(str[start]))) { + start++; + } + + if (start == str.length()) { + return ""; + } + + size_t end = str.length() - 1; + while (end > start && std::isspace(static_cast(str[end]))) { + end--; + } + + return str.substr(start, end - start + 1); +} + +std::string trim_leading_whitespace(const std::string & str) { + size_t start = 0; + while (start < str.length() && std::isspace(static_cast(str[start]))) { + start++; + } + + return str.substr(start); +} + +std::string trim_trailing_whitespace(const std::string & str) { + if (str.empty()) { + return ""; + } + + size_t end = str.length() - 1; + while (end > 0 && std::isspace(static_cast(str[end]))) { + end--; + } + + // If first char is also whitespace, return empty string + if (end == 0 && std::isspace(static_cast(str[0]))) { + return ""; + } + + return str.substr(0, end + 1); +} + +std::string trim_trailing_newlines(const std::string & str) { + size_t end = str.length(); + while (end > 0 && str[end - 1] == '\n') { + end--; + } + + return str.substr(0, end); +} + +static size_t common_prefix_len(const std::string & left, const std::string & right) { + size_t prefix_len = 0; + size_t min_len = std::min(left.length(), right.length()); + while (prefix_len < min_len && left[prefix_len] == right[prefix_len]) { + prefix_len++; + } + return prefix_len; +} + +static size_t common_suffix_len(const std::string & left, const std::string & right) { + size_t suffix_len = 0; + size_t min_len = std::min(left.length(), right.length()); + while (suffix_len < min_len && left[left.length() - 1 - suffix_len] == right[right.length() - 1 - suffix_len]) { + suffix_len++; + } + return suffix_len; +} + +diff_split calculate_diff_split(const std::string & left, const std::string & right) { + diff_split result; + + auto left_seg = segmentize_markers(left); + auto right_seg = segmentize_markers(right); + + if (left_seg.empty()) { + result.right = right; + return result; + } + if (right_seg.empty()) { + result.left = left; + return result; + } + + auto left_start = left_seg.begin(); + auto left_end = --left_seg.end(); + auto right_start = right_seg.begin(); + auto right_end = --right_seg.end(); + + auto test = [&] () { + return left_start != left_end && right_start != right_end; + }; + + bool left_fully_consumed = false; + bool right_fully_consumed = false; + + while (test()) { + bool advanced = false; + if (*left_start == *right_start) { + result.prefix.append(left_start->value); + left_start++; + right_start++; + advanced = true; + } + if (*left_end == *right_end) { + result.suffix = left_end->value + result.suffix; + if (left_start != left_end) { + left_end--; + } else { + left_fully_consumed = true; + } + if (right_start != right_end) { + right_end--; + } else { + right_fully_consumed = true; + } + advanced = true; + } + if (!advanced) { + break; + } + } + + if (left_start == left_end && right_start != right_end) { + if (*left_start == *right_end) { + result.suffix = right_end->value + result.suffix; + right_end--; + left_fully_consumed = true; + } else if (*left_start == *right_start) { + result.prefix.append(right_start->value); + right_start++; + left_fully_consumed = true; + } + } else if (right_start == right_end && left_start != left_end) { + if (*left_end == *right_start) { + result.suffix = left_end->value + result.suffix; + left_end--; + right_fully_consumed = true; + } else if (*left_start == *right_start) { + result.prefix.append(left_start->value); + left_start++; + right_fully_consumed = true; + } + } else if (left_start == left_end && right_start == right_end && *left_start == *right_start && left_start->type == segment_type::MARKER) { + result.prefix.append(right_start->value); + left_fully_consumed = true; + right_fully_consumed = true; + } + + auto eat_segment = [](std::string & str, segment & seg) -> std::string { return str.append(seg.value); }; + + bool can_have_text_suffix = left_end->type == segment_type::TEXT && right_end->type == segment_type::TEXT; + bool can_have_text_prefix = right_start->type == segment_type::TEXT && left_start->type == segment_type::TEXT; + + std::string remainder_left = std::accumulate(left_start, left_fully_consumed ? left_end : ++left_end, std::string(), eat_segment); + std::string remainder_right = std::accumulate(right_start, right_fully_consumed ? right_end : ++right_end, std::string(), eat_segment); + + size_t suffix_len = can_have_text_suffix ? common_suffix_len(remainder_left, remainder_right) : 0; + // avoid overlaps between prefix and suffix + size_t prefix_len = can_have_text_prefix ? common_prefix_len(remainder_left.substr(0, remainder_left.size() - suffix_len), + remainder_right.substr(0, remainder_right.size() - suffix_len)) : 0; + + result.prefix.append(remainder_left.substr(0, prefix_len)); + result.suffix = remainder_left.substr(remainder_left.length() - suffix_len, suffix_len) + result.suffix; + result.left = remainder_left.substr(prefix_len, remainder_left.length() - prefix_len - suffix_len); + result.right = remainder_right.substr(prefix_len, remainder_right.length() - prefix_len - suffix_len); + + if (result.left == "" && result.right == "") { + // degenerate case, no diff + result.prefix = left; + result.suffix = ""; + // pick prefix = all as representation + } + return result; +} + +// Returns the prefix of `full` up until the first occurrence of the common prefix of `left` and `right` +std::string until_common_prefix(const std::string & full, const std::string & left, const std::string & right) { + // Find the common prefix of left and right + size_t common_prefix_len = 0; + size_t min_len = std::min(left.length(), right.length()); + while (common_prefix_len < min_len && left[common_prefix_len] == right[common_prefix_len]) { + common_prefix_len++; + } + + // If there's no common prefix, return empty string + if (common_prefix_len == 0) { + return ""; + } + + // Find the common prefix in the full string + std::string common_prefix = left.substr(0, common_prefix_len); + size_t pos = full.find(common_prefix); + + // If not found, return empty string + if (pos == std::string::npos) { + return ""; + } + + // Return everything before the common prefix + return full.substr(0, pos); +} + +// Returns the suffix of `full` after the last occurrence of the common suffix of `left` and `right` +std::string after_common_suffix(const std::string & full, const std::string & left, const std::string & right) { + // Find the common suffix of left and right (compare from the end) + size_t common_suffix_len = 0; + size_t min_len = std::min(left.length(), right.length()); + while (common_suffix_len < min_len && + left[left.length() - 1 - common_suffix_len] == right[right.length() - 1 - common_suffix_len]) { + common_suffix_len++; + } + + // If there's no common suffix, return empty string + if (common_suffix_len == 0) { + return ""; + } + + // Extract the common suffix + std::string common_suffix = left.substr(left.length() - common_suffix_len); + + // Find the last occurrence of the common suffix in the full string + size_t pos = full.rfind(common_suffix); + + // If not found, return empty string + if (pos == std::string::npos) { + return ""; + } + + // Return everything after the common suffix + return full.substr(pos + common_suffix_len); +} + +// TODO: segmentize will treat a JSON array inside tags as a tag: [{ "fun": { ... } }] will be three markers +// not too worried about that because it hasn't turned out as a problem anywhere, but noting here in case it will +// Might have to put some restrictions on tag contents as well (like "no { }") +std::vector segmentize_markers(const std::string & text) { + std::vector retval; + bool in_marker = false; + char marker_opener = '\0'; + + auto is_marker_opener = [](char c) -> bool { return c == '<' || c == '['; }; + auto is_marker_closer = [](char op, char c) -> bool { return (op == '<' && c == '>') || (op == '[' && c == ']'); }; + + size_t last_border = 0; + + for (size_t cur_pos = 0; cur_pos < text.length(); cur_pos++) { + if (!in_marker && is_marker_opener(text[cur_pos])) { + if (last_border < cur_pos) { + retval.push_back(segment(segment_type::TEXT, text.substr(last_border, cur_pos - last_border))); + } + last_border = cur_pos; + in_marker = true; + marker_opener = text[cur_pos]; + } else if (in_marker && is_marker_closer(marker_opener, text[cur_pos])) { + // no need to check because last_border will always be smaller + retval.push_back(segment(segment_type::MARKER, text.substr(last_border, cur_pos - last_border + 1))); + last_border = cur_pos + 1; + in_marker = false; + marker_opener = '\0'; + } + } + if (last_border < text.length()) { + retval.push_back(segment(segment_type::TEXT, text.substr(last_border))); + } + return retval; +} + +std::vector prune_whitespace_segments(const std::vector & segments) { + std::vector result; + for (const auto & seg : segments) { + if (!trim_whitespace(seg.value).empty()) { + result.push_back(seg); + } + } + return result; +} + +namespace autoparser { + +std::string apply_template(const common_chat_template & tmpl, const template_params & params) { + templates_params tmpl_params; + tmpl_params.messages = params.messages; + tmpl_params.tools = params.tools; + tmpl_params.add_generation_prompt = params.add_generation_prompt; + tmpl_params.enable_thinking = params.enable_thinking; + + if (params.extra_context) { + tmpl_params.extra_context = *params.extra_context; + } + tmpl_params.extra_context["enable_thinking"] = params.enable_thinking; + + try { + return common_chat_template_direct_apply(tmpl, tmpl_params); + } catch (const std::exception & e) { + LOG_DBG("Template application failed: %s\n", e.what()); + return ""; + } +} + +std::optional compare_variants( + const common_chat_template & tmpl, + const template_params & params_A, + const std::function & params_modifier) { + // Create variant B by copying A + template_params params_B = params_A; + + // Apply modifier to create variant B + if (params_modifier) { + params_modifier(params_B); + } + + // Apply template to both variants + std::string output_A = apply_template(tmpl, params_A); + std::string output_B = apply_template(tmpl, params_B); + + // Check for template application failures + if (output_A.empty() || output_B.empty()) { + return std::nullopt; + } + + // Calculate diff and return result with both outputs + compare_variants_result result; + result.diff = calculate_diff_split(output_A, output_B); + result.output_A = output_A; + result.output_B = output_B; + + return result; +} + +} // namespace autoparser + diff --git a/common/chat-auto-parser-helpers.h b/common/chat-auto-parser-helpers.h new file mode 100644 index 0000000000..6e3df79db8 --- /dev/null +++ b/common/chat-auto-parser-helpers.h @@ -0,0 +1,73 @@ +#pragma once + +#include "chat-auto-parser.h" +#include +#include +#include + +std::string trim_whitespace(const std::string & str); +std::string trim_leading_whitespace(const std::string & str); +std::string trim_trailing_whitespace(const std::string & str); +std::string trim_trailing_newlines(const std::string & str); + +// calculate a diff split (longest common prefix, longest common suffix excluding prefix, +// mismatched part on the left, mismatched part on the right) between two strings +// account for markers - align prefix and suffix endings so that they end on markers +// * eg.: +// calculate_diff_split("
", "

Something

") -> +// { "prefix": "" (not: "<"), "suffix": "", "left": "
", "right": "

Something

" } +// calculate_diff_split("Something", "") -> +// { "prefix": "", "suffix": "", "left": "Something", "right": "" } +diff_split calculate_diff_split(const std::string & left, const std::string & right); + +// Returns the prefix of `full` up until the first occurrence of the common prefix of `left` and `right` +// Returns empty string if there's no common prefix +// * eg.: +// until_common_prefix("really want a FUNCTION call", "FUNCTION alpha", "FUNCTION beta") -> "really want a " +// until_common_prefix("", "", "") -> "" +// until_common_prefix("some text", "1234", "abcd") -> "" +// until_common_prefix("one arg two args three args four", "argument alpha", "argument beta") -> "one "" +std::string until_common_prefix(const std::string & full, const std::string & left, const std::string & right); + +// Returns the suffix of `full` after the last occurrence of the common suffix of `left` and `right` +// Returns empty string if there's no common suffix +// Mirror function of `until_common_prefix` +// * eg.: +// after_common_suffix("really want a FUNCTION call", "first FUNCTION", "second FUNCTION") -> " call" +// after_common_suffix("one arg two-args three args four", "alpha-args", "beta-args") -> " three args four" +std::string after_common_suffix(const std::string & full, const std::string & left, const std::string & right); + +// Segmentize text into markers and non-marker fragments +// * eg.: +// segmentize_markers("The site title
Here's some content
" -> +// [ (MARKER, ""), (MARKER, ""), (MARKER, ""), (TEXT, "The site title"), (MARKER, ""), +// (MARKER, ""), (MARKER, "
"), (TEXT, "Here's some "), (MARKER, ""), (TEXT, "content"), (MARKER, ""), +// (MARKER, "
"), (MARKER, ""), (MARKER, "") +// ] +// segmentize_markers("<|tool_call|>[args]{ are here }[/args]<|tool_call_end|>") -> +// [ (MARKER, "<|tool_call|>"), (MARKER, "[args]"), (TEXT, "{ are here }"), (MARKER, "[/args]"), (MARKER, "<|tool_call_end|>") ] +std::vector segmentize_markers(const std::string & text); + +// Prune whitespace-only segments from a vector of segments +// * eg.: +// segmentize_markers("\n\n\n \n\n\n") -> +// X = [ (MARKER, ""), (TEXT, "\n"), (MARKER, ""), (TEXT, "\n"), (MARKER, ""), (TEXT, "\n \n"), +// (MARKER, ""), (TEXT, "\n"), (MARKER, ""), (TEXT, "\n"), (MARKER, "") ] +// prune_whitespace_segments(X) -> [ (MARKER, ""), (MARKER, ""), (MARKER, ""), (MARKER, ""), +// (MARKER, ""), (MARKER, "") ] +std::vector prune_whitespace_segments(const std::vector & segments); + +namespace autoparser { + +// Apply a template with the given parameters, returning the rendered string (empty on failure) +std::string apply_template(const common_chat_template & tmpl, const template_params & params); + +// Factorized differential comparison function +// Takes base params and a single modifier lambda to create variant B +// Returns compare_variants_result containing diff and both outputs, or std::nullopt on failure +std::optional compare_variants( + const common_chat_template & tmpl, + const template_params & params_A, + const std::function & params_modifier); + +} // namespace autoparser diff --git a/common/chat-auto-parser.h b/common/chat-auto-parser.h new file mode 100644 index 0000000000..52c6488f4b --- /dev/null +++ b/common/chat-auto-parser.h @@ -0,0 +1,433 @@ +#pragma once + +#include "chat.h" +#include "common.h" +#include "jinja/caps.h" +#include "peg-parser.h" + +#include +#include +#include +#include +#include + +using json = nlohmann::ordered_json; + +class common_chat_peg_builder; + +// ============================================================================ +// Parameters for template application (low-level, used by diff analysis) +// ============================================================================ +struct template_params { + json messages; + json tools; + bool add_generation_prompt = false; + bool enable_thinking = true; + std::optional extra_context = std::nullopt; +}; + +struct diff_split { + std::string prefix; + std::string suffix; + std::string left; + std::string right; + + bool operator==(struct diff_split & other) const { + return prefix == other.prefix && suffix == other.suffix && left == other.left && right == other.right; + } +}; + +// Result of compare_variants containing diff and original outputs +struct compare_variants_result { + diff_split diff; + std::string output_A; + std::string output_B; +}; + +namespace autoparser { + +// ============================================================================ +// High-level params for parser generation +// ============================================================================ + +struct templates_params { + json messages; + json tools; + common_chat_tool_choice tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO; + json json_schema; + bool parallel_tool_calls = true; + common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_AUTO; + bool stream = true; + std::string grammar; + bool add_generation_prompt = false; + bool enable_thinking = true; + std::chrono::system_clock::time_point now = std::chrono::system_clock::now(); + json extra_context; + bool add_bos = false; + bool add_eos = false; + bool is_inference = true; + bool add_inference = false; + bool mark_input = true; // whether to mark input strings in the jinja context +}; + +// ============================================================================ +// Analysis Result Enums +// ============================================================================ + +// Reasoning handling mode (derived from R1-R3 comparisons) +enum class reasoning_mode { + NONE, // No reasoning markers detected + TAG_BASED, // Standard tag-based: ... + DELIMITER, // Delimiter-based: [BEGIN FINAL RESPONSE] (reasoning ends at delimiter) + FORCED_OPEN, // Template ends with open reasoning tag (empty start, non-empty end) + FORCED_CLOSED, // Template ends with open reasoning tag on enabled thinking but + // with both opened and closed tag for disabled thinking + TOOLS_ONLY // Only reason on tool calls, not on normal content +}; + +inline std::ostream & operator<<(std::ostream & os, const reasoning_mode & mode) { + switch (mode) { + case reasoning_mode::NONE: + return os << "NONE"; + case reasoning_mode::TAG_BASED: + return os << "TAG_BASED"; + case reasoning_mode::DELIMITER: + return os << "DELIMITER"; + case reasoning_mode::FORCED_OPEN: + return os << "FORCED_OPEN"; + case reasoning_mode::FORCED_CLOSED: + return os << "FORCED_CLOSED"; + case reasoning_mode::TOOLS_ONLY: + return os << "TOOLS_ONLY"; + default: + return os << "UNKNOWN"; + } +} + +// Content wrapping mode (derived from C1 comparison) +enum class content_mode { + PLAIN, // No content markers + ALWAYS_WRAPPED, // Content always wrapped with markers + WRAPPED_WITH_REASONING, // Content wrapped only when reasoning present +}; + +inline std::ostream & operator<<(std::ostream & os, const content_mode & mode) { + switch (mode) { + case content_mode::PLAIN: + return os << "PLAIN"; + case content_mode::ALWAYS_WRAPPED: + return os << "ALWAYS_WRAPPED"; + case content_mode::WRAPPED_WITH_REASONING: + return os << "WRAPPED_WITH_REASONING"; + default: + return os << "UNKNOWN"; + } +} + +// Call ID position in tool calls (for non-JSON formats) +enum class call_id_position { + NONE, // No call ID support detected + PRE_FUNC_NAME, // Call ID before function name: [CALL_ID]id[FUNC]name{args} + BETWEEN_FUNC_AND_ARGS, // Call ID between function and args: [FUNC]name[CALL_ID]id{args} + POST_ARGS, // Call ID after arguments: [FUNC]name{args}[CALL_ID]id +}; + +inline std::ostream & operator<<(std::ostream & os, const call_id_position & pos) { + switch (pos) { + case call_id_position::NONE: + return os << "NONE"; + case call_id_position::PRE_FUNC_NAME: + return os << "PRE_FUNC_NAME"; + case call_id_position::BETWEEN_FUNC_AND_ARGS: + return os << "BETWEEN_FUNC_AND_ARGS"; + case call_id_position::POST_ARGS: + return os << "POST_ARGS"; + default: + return os << "UNKNOWN"; + } +} + +// Tool call format classification (derived from T1-T5, A1-A3 comparisons) +enum class tool_format { + NONE, // No tool support detected + JSON_NATIVE, // Pure JSON: {"name": "X", "arguments": {...}} + TAG_WITH_JSON, // Tag-based with JSON args: {...} + TAG_WITH_TAGGED, // Tag-based with tagged args: value +}; + +inline std::ostream & operator<<(std::ostream & os, const tool_format & format) { + switch (format) { + case tool_format::NONE: + return os << "NONE"; + case tool_format::JSON_NATIVE: + return os << "JSON_NATIVE"; + case tool_format::TAG_WITH_JSON: + return os << "TAG_WITH_JSON"; + case tool_format::TAG_WITH_TAGGED: + return os << "TAG_WITH_TAGGED"; + default: + return os << "UNKNOWN"; + } +} + +// ============================================================================ +// Sub-structs for tool analysis +// ============================================================================ + +struct tool_format_analysis { + tool_format mode = tool_format::NONE; + + std::string section_start; // e.g., "", "[TOOL_CALLS]", "" + std::string section_end; // e.g., "", "" + std::string per_call_start; // e.g., "<|tool_call_begin|>", "" (for multi-call templates) + std::string per_call_end; // e.g., "<|tool_call_end|>", "" + + bool fun_name_is_key = false; // In JSON format function name is JSON key, i.e. { "": { ... arguments ... } } + bool tools_array_wrapped = false; // Tool calls wrapped in JSON array [...] + bool uses_python_dicts = false; // Tool call args use Python dict format (single-quoted strings) + + std::string function_field = "function"; + std::string name_field = "name"; + std::string args_field = "arguments"; + std::string id_field; + std::string gen_id_field; + std::vector parameter_order; +}; + +struct tool_function_analysis { + std::string name_prefix; // e.g., "", "\"", ":0" + std::string close; // e.g., "", "" (for tag-based) +}; + +struct tool_arguments_analysis { + std::string start; // e.g., "<|tool_call_argument_begin|>", "" + std::string end; // e.g., "<|tool_call_argument_end|>", "" + std::string name_prefix; // e.g., "", "\"" + std::string name_suffix; // e.g., ">", "", "\":" + std::string value_prefix; // e.g., "", "", "" + std::string value_suffix; // e.g., "", "", "" + std::string separator; // e.g., "", "\n", "," +}; + +struct tool_id_analysis { + call_id_position pos = call_id_position::NONE; + + std::string prefix; // e.g., "[CALL_ID]" (marker before call ID value) + std::string suffix; // e.g., "" (marker after call ID value, before next section) +}; + +// ============================================================================ +// Parser build context (shared interface for build_parser methods) +// ============================================================================ + +struct analyze_content; + +struct parser_build_context { + common_chat_peg_builder & p; + const templates_params & inputs; + common_peg_parser reasoning_parser; + bool extracting_reasoning = false; + const analyze_content * content = nullptr; + + parser_build_context(common_chat_peg_builder & p, const templates_params & inputs); +}; + +// ============================================================================ +// Base class for analyzers with parser building +// ============================================================================ + +struct analyze_base { + virtual ~analyze_base() = default; + virtual common_peg_parser build_parser(parser_build_context & ctx) const = 0; + + protected: + const common_chat_template * tmpl = nullptr; + + analyze_base() = default; + explicit analyze_base(const common_chat_template & tmpl) : tmpl(&tmpl) {} +}; + +// ============================================================================ +// Reasoning analyzer +// ============================================================================ + +struct analyze_reasoning : analyze_base { + reasoning_mode mode = reasoning_mode::NONE; + + std::string start; // e.g., "", "[THINK]", "<|START_THINKING|>", "" + std::string end; // e.g., "", "[BEGIN FINAL RESPONSE]", "<|END_THINKING|>" + + analyze_reasoning() = default; + analyze_reasoning(const common_chat_template & tmpl, bool supports_tools); + + common_peg_parser build_parser(parser_build_context & ctx) const override; + + private: + // Look for reasoning markers in rendered content + void compare_reasoning_presence(); + + // Compare generation prompt with enable_thinking=true vs false + void compare_thinking_enabled(); + + // Check if reasoning is always possible or only in tool calls + void compare_reasoning_scope(); +}; + +// ============================================================================ +// Content analyzer +// ============================================================================ + +struct analyze_content : analyze_base { + content_mode mode = content_mode::PLAIN; + + std::string start; // e.g., "", ">>>all\n", "" + std::string end; // e.g., "", "" + + bool requires_nonnull_content = false; + + analyze_content() = default; + analyze_content(const common_chat_template & tmpl, const analyze_reasoning & reasoning); + + common_peg_parser build_parser(parser_build_context & ctx) const override; + + bool is_always_wrapped() const; + common_peg_parser build_optional_wrapped(parser_build_context & ctx) const; +}; + +// ============================================================================ +// Tool analyzer +// ============================================================================ + +struct analyze_tools : analyze_base { + tool_format_analysis format; + tool_function_analysis function; + tool_arguments_analysis arguments; + tool_id_analysis call_id; + + analyze_tools() = default; + analyze_tools(const common_chat_template & tmpl, + const jinja::caps & caps, + const analyze_reasoning & reasoning); + + common_peg_parser build_parser(parser_build_context & ctx) const override; + + private: + // Extract tool calling 'haystack' for further analysis and delegate further analysis based on format + void analyze_tool_calls(const analyze_reasoning & reasoning); + + // Analyze format based on position of function and argument name in needle + void analyze_tool_call_format(const std::string & haystack, + const std::string & fun_name_needle, + const std::string & arg_name_needle, + const analyze_reasoning & reasoning); + + // Analyze specifics of JSON native format (entire tool call is a JSON object) + void analyze_tool_call_format_json_native(const std::string & clean_haystack, + const std::string & fun_name_needle, + const std::string & arg_name_needle); + + // Analyze specifics of non-JSON native format (tags for function name or for function name and arguments) + void analyze_tool_call_format_non_json(const std::string & clean_haystack, + const std::string & fun_name_needle); + + // Check for and extract specific per-call markers for non-native-JSON templates with parallel call support + void check_per_call_markers(); + + // Extract function name markers + void extract_function_markers(); + + // Delegates to separate functions for: separator analysis, argument name analysis, argument value analysis + void analyze_arguments(); + + // Extract argument name markers + void extract_argument_name_markers(); + + // Extract argument value markers + void extract_argument_value_markers(); + + // Extract argument separator, if specified (eg. ......) + void extract_argument_separator(); + + // Extract argument wrapper markers, if present (eg. '......') + void extract_args_markers(); + + // Extract call ID markers, if present + void extract_call_id_markers(); + + // Per-format tool parser builders + common_peg_parser build_tool_parser_json_native(parser_build_context & ctx) const; + common_peg_parser build_tool_parser_tag_json(parser_build_context & ctx) const; + common_peg_parser build_tool_parser_tag_tagged(parser_build_context & ctx) const; +}; + +// ============================================================================ +// Main autoparser class +// ============================================================================ + +struct autoparser { + jinja::caps jinja_caps; + analyze_reasoning reasoning; + analyze_content content; + analyze_tools tools; + bool analysis_complete = false; + + // Preserved tokens for tokenizer (union of all non-empty markers) + std::vector preserved_tokens; + + autoparser() = default; + + // Run full differential analysis on a template + void analyze_template(const common_chat_template & tmpl); + + // Build the PEG parser for this template + common_peg_arena build_parser(const templates_params & inputs) const; + + private: + // Collect tokens from entire analysis to preserve + void collect_preserved_tokens(); +}; + +// ============================================================================ +// Parser generator +// ============================================================================ + +class peg_generator { + public: + static common_chat_params generate_parser(const common_chat_template & tmpl, + const struct templates_params & inputs); + + static common_chat_params generate_parser(const common_chat_template & tmpl, + const struct templates_params & inputs, + const autoparser & autoparser); +}; + +} // namespace autoparser + +enum segment_type { TEXT, MARKER }; + +inline std::ostream & operator<<(std::ostream & os, const segment_type & type) { + switch (type) { + case segment_type::TEXT: + return os << "TEXT"; + case segment_type::MARKER: + return os << "MARKER"; + default: + return os << "UNKNOWN"; + } +} + +struct segment { + segment_type type; + std::string value; + + segment(segment_type type, std::string value) : type(type), value(std::move(value)) {} + + bool operator==(const segment & other) const { + return type == other.type && value == other.value; + } + + bool operator!=(const segment & other) const { + return !(*this == other); + } +}; diff --git a/common/chat-diff-analyzer.cpp b/common/chat-diff-analyzer.cpp new file mode 100644 index 0000000000..4068340a5c --- /dev/null +++ b/common/chat-diff-analyzer.cpp @@ -0,0 +1,1330 @@ +#include "chat-auto-parser.h" +#include "chat-auto-parser-helpers.h" +#include "chat-peg-parser.h" +#include "chat.h" +#include "log.h" +#include "nlohmann/json.hpp" +#include "peg-parser.h" + +#include + +#define ANSI_RESET "\033[0m" +#define ANSI_PURPLE "\033[1m\x1b[38;5;126m" +#define ANSI_ORANGE "\033[1m\x1b[38;5;214m" +#define ANSI_RED "\033[1m\x1b[38;5;196m" + +using json = nlohmann::ordered_json; + +namespace autoparser { + +static const std::string FUN_FIRST = "FFF_FIRST_FUN_F"; +static const std::string FUN_SECOND = "SSS_SECOND_FUN_S"; +static const std::string ARG_FIRST = "AA_ARG_FST_AA"; +static const std::string ARG_SECOND = "BB_ARG_SND_BB"; +static const std::string USER_MSG = "U_USER_MSG Hello END_U"; +static const std::string ASSISTANT_MSG = "A_ASST_MSG I can help END_A"; +static const std::string THINKING_CONTENT = "REASON_PART I am thinking END_R"; + +static std::vector> workarounds( + { // Old reasoning Qwen templates - they don't really display reasoning content, but we still want to + // support reasoning on them + [](const common_chat_template & tmpl, autoparser & analysis) -> void { + if (tmpl.src.find("content.split('')") != std::string::npos && + tmpl.src.find("reasoning_content") == std::string::npos && + analysis.reasoning.mode == reasoning_mode::NONE) { + analysis.reasoning.mode = reasoning_mode::FORCED_OPEN; + analysis.reasoning.start = ""; + analysis.reasoning.end = ""; + analysis.preserved_tokens.push_back(""); + analysis.preserved_tokens.push_back(""); + LOG_DBG(ANSI_ORANGE "[Patch: old Qwen/Deepseek thinking template]\n" ANSI_RESET); + } + }, + // Granite 3.3, with separate reasoning and content markers + [](const common_chat_template & tmpl, autoparser & analysis) -> void { + if (tmpl.src.find("Write your thoughts between and write your response between " + "") != std::string::npos) { + analysis.reasoning.mode = reasoning_mode::TAG_BASED; + analysis.reasoning.start = ""; + analysis.reasoning.end = ""; + analysis.preserved_tokens.push_back(""); + analysis.preserved_tokens.push_back(""); + analysis.content.mode = content_mode::WRAPPED_WITH_REASONING; + analysis.content.start = ""; + analysis.content.end = ""; + analysis.preserved_tokens.push_back(""); + analysis.preserved_tokens.push_back(""); + LOG_DBG(ANSI_ORANGE "[Patch: Granite 3.3]\n" ANSI_RESET); + } + }, + // Cohere Command R+ - content wrapped in <|CHATBOT_TOKEN|>...<|END_OF_TURN_TOKEN|> + [](const common_chat_template & tmpl, autoparser & analysis) -> void { + if (tmpl.src.find("<|CHATBOT_TOKEN|>") != std::string::npos && + tmpl.src.find("<|END_OF_TURN_TOKEN|>") != std::string::npos && analysis.content.start.empty()) { + analysis.content.mode = content_mode::ALWAYS_WRAPPED; + analysis.content.start = "<|CHATBOT_TOKEN|>"; + analysis.content.end = "<|END_OF_TURN_TOKEN|>"; + analysis.preserved_tokens.push_back("<|CHATBOT_TOKEN|>"); + analysis.preserved_tokens.push_back("<|END_OF_TURN_TOKEN|>"); + LOG_DBG(ANSI_ORANGE "[Patch: Cohere Command R+]\n" ANSI_RESET); + } + }, + // Functionary - no tool call section delimiter + [](const common_chat_template & tmpl, autoparser & analysis) -> void { + if (tmpl.src.find("set has_code_interpreter = tools | selectattr(\"type\", \"equalto\", " + "\"code_interpreter\") | list | length > 0") != std::string::npos) { + analysis.content.mode = content_mode::PLAIN; + analysis.content.end = ""; + analysis.tools.function.name_prefix = ""; + analysis.tools.format.section_start = ""; + analysis.tools.format.section_end = ""; + analysis.tools.format.per_call_start = ""); + analysis.preserved_tokens.push_back("<|eom_id|>"); + analysis.preserved_tokens.push_back(""); + analysis.preserved_tokens.push_back(""); + LOG_DBG(ANSI_ORANGE "[Patch: Functionary 3.1]\n" ANSI_RESET); + } + }, + // DeepSeek-R1-Distill-Qwen + [](const common_chat_template & tmpl, autoparser & analysis) -> void { + if (tmpl.src.find( + "{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>'") != + std::string::npos) { + analysis.tools.format.section_start = "<｜tool▁calls▁begin｜>"; + analysis.tools.format.section_end = "<｜tool▁calls▁end｜>"; + analysis.tools.format.per_call_start = "<｜tool▁call▁begin｜>function"; + analysis.tools.function.name_prefix = "<｜tool▁sep｜>"; + analysis.tools.format.per_call_end = "<｜tool▁call▁end｜>"; + analysis.tools.function.close = "```"; + } + } + }); + +// Common JSON structures +static json params_schema = { + { "type", "object" }, + { "properties", + { { ARG_FIRST, { { "type", "string" }, { "description", "First argument" } } }, + { ARG_SECOND, { { "type", "string" }, { "description", "Second argument" } } } } }, + { "required", json::array({}) } +}; + +static json tools = json::array({ + { { "type", "function" }, + { "function", + json{ { "name", FUN_FIRST }, { "description", "Test function foo" }, { "parameters", params_schema } } } }, + { { "type", "function" }, + { "function", + json{ { "name", FUN_SECOND }, { "description", "Test function bar" }, { "parameters", params_schema } } } } +}); + +static json user_msg = json{ + { "role", "user" }, + { "content", USER_MSG } +}; + +static json build_tool_call(const std::string & name, const json & args, const std::string & id = "call00001") { + return json{ + { "id", id }, + { "type", "function" }, + { "function", json{ { "name", name }, { "arguments", args } } } + }; +} + +static json first_tool_call_zero_args = build_tool_call(FUN_FIRST, json::object(), "call00001"); +static json first_tool_call_one_arg = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "XXXX" }}, "call00001"); +static json first_tool_call_one_arg_other_val = build_tool_call(FUN_FIRST, {{ ARG_FIRST, "YYYY" }}, "call00001"); +static json first_tool_call_other_arg = build_tool_call(FUN_FIRST, {{ ARG_SECOND, "YYYY" }}, "call00001"); + +static json first_tool_call = + build_tool_call(FUN_FIRST, json{{ ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, "call00001"); +static json second_tool_call = + build_tool_call(FUN_SECOND, json{ { ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, "call00002"); +static json first_tool_call_alt_id = + build_tool_call(FUN_FIRST, json{{ ARG_FIRST, "XXXX" }, { ARG_SECOND, "YYYY" }}, "call99999"); + +template +static std::string mode_to_str(T mode) { + std::ostringstream os; + os << mode; + return os.str(); +} + +void autoparser::analyze_template(const common_chat_template & tmpl) { + jinja_caps = tmpl.original_caps(); + reasoning = analyze_reasoning(tmpl, jinja_caps.supports_tool_calls); + content = analyze_content(tmpl, reasoning); + tools = analyze_tools(jinja_caps.supports_tool_calls ? analyze_tools(tmpl, jinja_caps, reasoning) : analyze_tools()); + collect_preserved_tokens(); + + for (auto & workaround : workarounds) { + workaround(tmpl, *this); + } + + LOG_DBG("\n--- Reasoning & Content Structure ---\n"); + LOG_DBG("reasoning_mode: %s\n", mode_to_str(reasoning.mode).c_str()); + LOG_DBG("reasoning_start: '%s'\n", reasoning.start.c_str()); + LOG_DBG("reasoning_end: '%s'\n", reasoning.end.c_str()); + LOG_DBG("content_mode: %s\n", mode_to_str(content.mode).c_str()); + LOG_DBG("content_start: '%s'\n", content.start.c_str()); + LOG_DBG("content_end: '%s'\n", content.end.c_str()); + + LOG_DBG("\n--- Tool Call Structure ---\n"); + LOG_DBG("tool_mode: %s\n", mode_to_str(tools.format.mode).c_str()); + LOG_DBG("supports_tools: %s\n", jinja_caps.supports_tools ? "true" : "false"); + LOG_DBG("supports_parallel_calls: %s\n", jinja_caps.supports_parallel_tool_calls ? "true" : "false"); + LOG_DBG("tool_section_start: '%s'\n", tools.format.section_start.c_str()); + LOG_DBG("tool_section_end: '%s'\n", tools.format.section_end.c_str()); + LOG_DBG("per_call_start: '%s'\n", tools.format.per_call_start.c_str()); + LOG_DBG("per_call_end: '%s'\n", tools.format.per_call_end.c_str()); + LOG_DBG("func_name_prefix: '%s'\n", tools.function.name_prefix.c_str()); + LOG_DBG("func_name_suffix: '%s'\n", tools.function.name_suffix.c_str()); + LOG_DBG("func_close: '%s'\n", tools.function.close.c_str()); + LOG_DBG("python_dict_format: %s\n", tools.format.uses_python_dicts ? "true" : "false"); + LOG_DBG("arg_name_prefix: '%s'\n", tools.arguments.name_prefix.c_str()); + LOG_DBG("arg_name_suffix: '%s'\n", tools.arguments.name_suffix.c_str()); + LOG_DBG("arg_value_prefix: '%s'\n", tools.arguments.value_prefix.c_str()); + LOG_DBG("arg_value_suffix: '%s'\n", tools.arguments.value_suffix.c_str()); + LOG_DBG("name_field: '%s'\n", tools.format.name_field.c_str()); + LOG_DBG("args_field: '%s'\n", tools.format.args_field.c_str()); + LOG_DBG("id_field: '%s'\n", tools.format.id_field.c_str()); + LOG_DBG("gen_id_field: '%s'\n", tools.format.gen_id_field.c_str()); + LOG_DBG("parameter_order: '%s'\n", std::accumulate(tools.format.parameter_order.begin(), tools.format.parameter_order.end(), + std::string(""), [] (const std::string & a, const std::string & b) { return a.empty() ? b : a + ", " + b; } + ).c_str()); + + LOG_DBG(ANSI_PURPLE "=== Differential analysis complete ===\n" ANSI_RESET); + analysis_complete = true; +} + +void autoparser::collect_preserved_tokens() { + auto add_token = [this](const std::string & org_token) { + std::string token = trim_whitespace(org_token); + if (!token.empty()) { + // Avoid duplicates + if (std::find(preserved_tokens.begin(), preserved_tokens.end(), token) == preserved_tokens.end()) { + preserved_tokens.push_back(token); + } + } + }; + + add_token(reasoning.start); + add_token(reasoning.end); + add_token(content.start); + add_token(content.end); + add_token(tools.format.section_start); + add_token(tools.format.section_end); + add_token(tools.format.per_call_start); + add_token(tools.format.per_call_end); + add_token(tools.function.name_prefix); + add_token(tools.function.name_suffix); + add_token(tools.function.close); + add_token(tools.arguments.start); + add_token(tools.arguments.end); + add_token(tools.arguments.name_prefix); + add_token(tools.arguments.name_suffix); + add_token(tools.arguments.separator); + add_token(tools.arguments.value_prefix); + add_token(tools.arguments.value_suffix); + add_token(tools.call_id.prefix); + add_token(tools.call_id.suffix); +} + +analyze_reasoning::analyze_reasoning(const common_chat_template & tmpl, bool supports_tools) + : analyze_base(tmpl) { + LOG_DBG(ANSI_PURPLE "=== Starting differential analysis ===\n" ANSI_RESET); + LOG_DBG(ANSI_ORANGE "Phase 1: Reasoning analysis\n" ANSI_RESET); + + compare_reasoning_presence(); + compare_thinking_enabled(); + if (supports_tools) { + compare_reasoning_scope(); + } +} + +void analyze_reasoning::compare_reasoning_presence() { + json user_msg = json{ + { "role", "user" }, + { "content", USER_MSG } + }; + + json assistant_no_reasoning = json{ + { "role", "assistant" }, + { "content", ASSISTANT_MSG } + }; + + json assistant_with_reasoning = json{ + { "role", "assistant" }, + { "content", ASSISTANT_MSG }, + { "reasoning_content", THINKING_CONTENT } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_no_reasoning }); + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_with_reasoning }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed, skipping reasoning detection\n" ANSI_RESET, __func__); + return; + } + + const auto & diff = comparison->diff; + + const std::string reasoning_content = THINKING_CONTENT; + + if (!diff.right.empty() && diff.right.find(reasoning_content) != std::string::npos) { + auto parser_delimiter = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space())) + p.rest()); + }); + auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("pre", p.marker()) + p.space() + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest(); + }); + // try the more aggressive parse first, if it fails, fall back to the delimiter one + auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B); + if (!result.result.success()) { + result = parser_delimiter.parse_anywhere_and_extract(comparison->output_B); + } + if (result.result.success()) { + if (!result.tags["pre"].empty() && !result.tags["post"].empty()) { + if (parser_wrapped.parse_anywhere_and_extract(diff.right).result.success()) { // both tags in the diff = no forced close + mode = reasoning_mode::TAG_BASED; + } else { + mode = reasoning_mode::FORCED_CLOSED; + } + start = trim_whitespace(result.tags["pre"]); + end = result.tags["post"]; + } else if (!result.tags["post"].empty()) { + mode = reasoning_mode::DELIMITER; + end = result.tags["post"]; + } + } + } +} + +void analyze_reasoning::compare_thinking_enabled() { + json user_msg = json{ + { "role", "user" }, + { "content", USER_MSG } + }; + + template_params params; + params.messages = json::array({ user_msg }); + params.add_generation_prompt = true; + params.enable_thinking = false; + + auto comparison = compare_variants(*tmpl, params, [&](template_params & p) { p.enable_thinking = true; }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET , __func__); + return; + } + + const auto & diff = comparison->diff; + + std::string left_trimmed = trim_whitespace(diff.left); + + if (left_trimmed.empty() && !diff.right.empty()) { + std::string right_trimmed = trim_whitespace(diff.right); + + if (!right_trimmed.empty() && string_ends_with(comparison->output_B, right_trimmed)) { + if (start.empty()) { + start = right_trimmed; + mode = reasoning_mode::FORCED_OPEN; + } + } + } + + if (start.empty() && !end.empty()) { + mode = reasoning_mode::DELIMITER; + } + + // Check for FORCED_CLOSED: when enable_thinking=false produces both start and end markers, + // but enable_thinking=true produces only the start marker + if (!comparison->output_A.empty() && !comparison->output_B.empty()) { + auto parser_start = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.literal(start) + p.space() + p.literal(end) + p.rest(); + }); + auto parser_start_end = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("pre", p.literal(start)) + p.space() + p.negate(p.literal(end)) + p.rest(); + }); + if (!start.empty() && parser_start_end.parse_anywhere_and_extract(comparison->output_A).result.success() && + parser_start.parse_anywhere_and_extract(comparison->output_B).result.success()) { + mode = reasoning_mode::FORCED_CLOSED; + } else if (!end.empty()) { // we extract the starting marker now since we didn't get it earlier + auto result = parser_start_end.parse_anywhere_and_extract(comparison->output_A); + if (result.result.success()) { + start = result.tags["pre"]; + mode = reasoning_mode::FORCED_CLOSED; + } + } + } + + if (start.empty() && end.empty()) { // we might still have the case of "just open" and "just close" + if (!diff.left.empty() && !diff.right.empty()) { + auto seg_A = segmentize_markers(trim_trailing_whitespace(diff.left)); + auto seg_B = segmentize_markers(trim_trailing_whitespace(diff.right)); + if (seg_A.size() == 1 && seg_B.size() == 1) { + mode = reasoning_mode::FORCED_CLOSED; + start = seg_B[0].value; + end = seg_A[0].value; + } + } + } +} + +void analyze_reasoning::compare_reasoning_scope() { + json assistant_reasoning_content = json{ + { "role", "assistant" }, + { "content", ASSISTANT_MSG }, + { "reasoning_content", THINKING_CONTENT } + }; + + json assistant_reasoning_tools = json{ + { "role", "assistant" }, + { "content", nullptr }, + { "reasoning_content", THINKING_CONTENT }, + { "tool_calls", + json::array({ build_tool_call(FUN_FIRST, json{ { ARG_FIRST, "VVVV" }, { ARG_SECOND, "XXXX" } }) }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_reasoning_content }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_reasoning_tools }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + return; + } + + std::string reasoning_content = THINKING_CONTENT; + + // Check if reasoning only appears in variant B (with tools) + bool reasoning_in_A = comparison->output_A.find(reasoning_content) != std::string::npos; + bool reasoning_in_B = comparison->output_B.find(reasoning_content) != std::string::npos; + + if (!reasoning_in_A && reasoning_in_B) { + mode = reasoning_mode::TOOLS_ONLY; + LOG_DBG(ANSI_ORANGE "%s: Detected TOOLS_ONLY reasoning mode\n" ANSI_RESET, __func__); + + auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("pre", p.marker()) + p.space() + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space())); + }); + auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B); + if (result.result.success()) { + start = result.tags["pre"]; + end = result.tags["post"]; + } else { + auto parser_delimiter = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space()))); + }); + result = parser_delimiter.parse_anywhere_and_extract(comparison->output_B); + if (result.result.success()) { + end = result.tags["post"]; + } else { + LOG_DBG(ANSI_ORANGE "%s: Unable to extracft reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__); + mode = reasoning_mode::NONE; + } + } + } +} + +analyze_content::analyze_content(const common_chat_template & tmpl, const analyze_reasoning & reasoning) + : analyze_base(tmpl) { + LOG_DBG(ANSI_ORANGE "Phase 2: Content analysis\n" ANSI_RESET); + + json assistant_content_only = json{ + { "role", "assistant" }, + { "content", ASSISTANT_MSG } + }; + + json assistant_with_tools = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ build_tool_call("test_func", json{ { "arg1", "value1" } }) }) } + }; + + json assistant_with_reasoning = json{ + { "role", "assistant" }, + { "content", "" }, + { "reasoning_content", THINKING_CONTENT } + }; + + template_params params_content_only; + params_content_only.messages = json::array({ user_msg, assistant_content_only }); + params_content_only.add_generation_prompt = false; + params_content_only.enable_thinking = true; + params_content_only.tools = tools; + + auto comparison_with_tools = compare_variants(tmpl, params_content_only, [&](template_params & p) { + p.messages = json::array({ user_msg, assistant_with_tools }); + }); + + auto comparison_with_reasoning = compare_variants(tmpl, params_content_only, [&](template_params & p) { + p.messages = json::array({ user_msg, assistant_with_reasoning }); + }); + + if (!comparison_with_tools || !comparison_with_reasoning) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + } + + const auto & diff_tools = comparison_with_tools->diff; + const auto & diff_reasoning = comparison_with_reasoning->diff; + + std::string response = ASSISTANT_MSG; + + bool found_plain_content = false; + if (trim_whitespace(diff_tools.left) == response) { + auto parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + return p.space() + diff_reasoning.left + p.space() + p.optional(p.marker()) + p.space() + p.end(); + }); + if (parser.parse_and_extract(diff_reasoning.left).result.success()) { + // We only have the content text in the diff (possibly with a stray EOG marker), so no markers + mode = content_mode::PLAIN; + found_plain_content = true; + } else if (reasoning.mode != reasoning_mode::NONE && !reasoning.end.empty()) { + auto post_reasoning_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + return p.literal(reasoning.end) + p.space() + p.literal(response); + }); + if (post_reasoning_parser.parse_anywhere_and_extract(diff_reasoning.left).result.success()) { + mode = content_mode::PLAIN; + found_plain_content = true; + } + } + } + if (!found_plain_content) { + std::string rdiff = diff_reasoning.left; + if (!reasoning.end.empty() && rdiff.find(reasoning.end) != std::string::npos) { + rdiff = rdiff.substr(rdiff.find(reasoning.end) + reasoning.end.length()); + } + // Take the more promising diff + std::string pure_content = rdiff.length() > diff_tools.left.length() ? rdiff : diff_tools.left; + auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("pre", p.marker()) + p.space() + p.literal(response) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest(); + }); + auto result = parser_wrapped.parse_anywhere_and_extract(pure_content); + start = result.tags["pre"]; + end = result.tags["post"]; + // TODO: WRAPPED_WITH_REASONING + } + + // Determine content mode + if (!start.empty() || !end.empty()) { + mode = content_mode::ALWAYS_WRAPPED; + // TODO: END_DELIMITED content mode - delimited at end but not at start? + } +} + +bool analyze_content::is_always_wrapped() const { + return mode == content_mode::ALWAYS_WRAPPED && !start.empty() && !end.empty(); +} + +analyze_tools::analyze_tools(const common_chat_template & tmpl, + const jinja::caps & caps, + const analyze_reasoning & reasoning) + : analyze_base(tmpl) { + LOG_DBG(ANSI_ORANGE "Phase 3: Tool call analysis\n" ANSI_RESET); + + analyze_tool_calls(reasoning); + + if (format.mode != tool_format::NONE && format.mode != tool_format::JSON_NATIVE) { + if (caps.supports_parallel_tool_calls) { + check_per_call_markers(); + } + extract_function_markers(); + if (format.mode == tool_format::TAG_WITH_TAGGED) { + analyze_arguments(); + } + extract_argument_separator(); + extract_args_markers(); + extract_call_id_markers(); + } +} + +void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning) { + json assistant_no_tools = json{ + { "role", "assistant" }, + { "content", ASSISTANT_MSG } + }; + + json assistant_with_tools = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_no_tools }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_with_tools }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + return; + } + + const auto & diff = comparison->diff; + + std::string tool_section = diff.right; + + if (tool_section.empty()) { + return; + } + + analyze_tool_call_format(tool_section, FUN_FIRST, ARG_FIRST, reasoning); +} + +void analyze_tools::analyze_tool_call_format(const std::string & haystack, + const std::string & fun_name_needle, + const std::string & arg_name_needle, + const analyze_reasoning & reasoning) { + if (fun_name_needle.empty() || arg_name_needle.empty() || haystack.empty()) { + return; + } + + enum class json_quote_style { NONE, DOUBLE_QUOTES, SINGLE_QUOTES }; + + auto in_json_haystack = [&haystack](const std::string & needle) -> json_quote_style { + auto parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.choice({ p.literal("{"), p.literal(":") }) << p.choice({ + p.tag("sq", p.literal("'") + p.literal(needle) + p.literal("'")), + p.tag("dq", p.literal("\"") + p.literal(needle) + p.literal("\"")) }); + }); + auto result = parser.parse_anywhere_and_extract(haystack); + if (!result.result.success()) { + return json_quote_style::NONE; + } + return result.tags.count("sq") && !result.tags["sq"].empty() + ? json_quote_style::SINGLE_QUOTES + : json_quote_style::DOUBLE_QUOTES; + }; + + auto fun_quote = in_json_haystack(fun_name_needle); + auto arg_quote = in_json_haystack(arg_name_needle); + + if (fun_quote != json_quote_style::NONE) { + // no need to check further, we're in JSON land + format.mode = tool_format::JSON_NATIVE; + format.uses_python_dicts = (fun_quote == json_quote_style::SINGLE_QUOTES); + } else if (arg_quote != json_quote_style::NONE) { + format.mode = tool_format::TAG_WITH_JSON; + format.uses_python_dicts = (arg_quote == json_quote_style::SINGLE_QUOTES); + } else { + format.mode = tool_format::TAG_WITH_TAGGED; + } + + // first, remove any reasoning markers + std::string clean_haystack = haystack; + if (!reasoning.start.empty()) { + auto pos = haystack.find(reasoning.start); + if (pos != std::string::npos) { + clean_haystack = haystack.substr(0, pos) + haystack.substr(pos + reasoning.start.length()); + } + } + if (!reasoning.end.empty()) { + auto pos = clean_haystack.find(reasoning.end); + if (pos != std::string::npos) { + clean_haystack = clean_haystack.substr(0, pos) + clean_haystack.substr(pos + reasoning.end.length()); + } + } + + if (format.mode == tool_format::JSON_NATIVE) { + analyze_tool_call_format_json_native(clean_haystack, fun_name_needle, arg_name_needle); + } else { + analyze_tool_call_format_non_json(clean_haystack, fun_name_needle); + } + // always relax whitespace requirements on ending markers since they don't influence content + format.section_end = trim_whitespace(format.section_end); + format.per_call_end = trim_whitespace(format.per_call_end); +} + +void analyze_tools::analyze_tool_call_format_json_native(const std::string & clean_haystack, + const std::string & fun_name_needle, + const std::string & arg_name_needle) { + // we might not have the typical OpenAI tool calling structure + int json_start = clean_haystack.find_first_of('{'); + int json_end = clean_haystack.find_last_of('}'); + std::string cut = clean_haystack.substr(json_start, json_end - json_start + 1); + json call_struct = json::parse(cut); + auto register_field = [&](const std::string & prefix, const nlohmann::detail::iteration_proxy_value & subel) { + if (subel.value().is_string() && std::string(subel.value()).find("call0000") != std::string::npos) { + format.id_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key(); + } else if (subel.value().is_string() && std::string(subel.value()) == fun_name_needle) { + format.name_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key(); + } else if (subel.value().dump().find(arg_name_needle) != + std::string::npos) { // handle both string and JSON obj variants + format.args_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key(); + } else if (subel.key().find("id") != std::string::npos) { + // heuristics for generated id field + format.gen_id_field = !prefix.empty() ? prefix + "." + subel.key() : subel.key(); + } + }; + for (const auto & el : call_struct.items()) { + if (el.key() == fun_name_needle) { + format.fun_name_is_key = true; + // When function name is the key, there's no name field and args are direct + format.name_field.clear(); + format.args_field.clear(); + // Don't register this element - the function name IS the key, not a field + } else { + if (el.value().is_object() && + el.value().dump().find(arg_name_needle) == std::string::npos) { // not the args object + format.function_field = el.key(); + for (const auto & subel : el.value().items()) { + register_field(el.key(), subel); + } + } + // Register this element as a potential field + register_field("", el); + } + } + auto array_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("pre", p.literal("[") + p.space()) + p.literal(cut) + p.tag("post", p.space() + p.literal("]")); + }); + + auto ar_parse_res = array_parser.parse_anywhere_and_extract(clean_haystack); + if (ar_parse_res.result.success()) { + format.tools_array_wrapped = true; + json_start -= ar_parse_res.tags["pre"].length(); + json_end += ar_parse_res.tags["post"].length(); + } + json_end++; // we want to move past the closing char for end marker extraction + + std::vector> located_params; + if (!format.name_field.empty()) { + located_params.push_back({ clean_haystack.find(format.name_field), format.name_field }); + } + if (!format.args_field.empty()) { + located_params.push_back({ clean_haystack.find(format.args_field), format.args_field }); + } + if (!format.id_field.empty()) { + located_params.push_back({ clean_haystack.find(format.id_field), format.id_field }); + } + if (!format.gen_id_field.empty()) { + located_params.push_back({ clean_haystack.find(format.gen_id_field), format.gen_id_field }); + } + std::sort(located_params.begin(), located_params.end()); + for (auto & pair : located_params) { + format.parameter_order.push_back(pair.second); + } + // we can immediately extract tool calling markers too + format.section_start = trim_leading_whitespace(clean_haystack.substr(0, json_start)); + format.section_end = trim_whitespace(clean_haystack.substr(json_end)); + // When tools_array_wrapped is true, the closing bracket is part of the array structure, + // not a separate section end marker. Clear tool_section_end to avoid duplicate brackets. + if (format.tools_array_wrapped && format.section_end == "]") { + format.section_end.clear(); + } +} + +void analyze_tools::analyze_tool_call_format_non_json(const std::string & clean_haystack, + const std::string & fun_name_needle) { + // first, let's find out if the function is inside a tag or standalone + auto fun_marker_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("fun_marker", p.choice({ + p.tag("fun_pre", p.literal("<") + p.until_one_of({ ">", fun_name_needle })) + p.literal(fun_name_needle) + + p.tag("fun_post", p.negate(p.space() + p.literal("<")) + p.until(">") + p.literal(">")) + p.space(), + p.tag("fun_pre", p.literal("[") + p.until_one_of({ "]", fun_name_needle })) + p.literal(fun_name_needle) + + p.tag("fun_post", p.negate(p.space() + p.literal("[") + p.until("]") + p.literal("]")) + p.space()) })); + }); + auto fun_res = fun_marker_parser.parse_anywhere_and_extract(clean_haystack); + std::string fun_marker = fun_name_needle; + if (fun_res.result.success()) { + fun_marker = fun_res.tags["fun_marker"]; + } + // now, consume up to two markers, then treat everything up to the function marker as function name prefix + auto per_tool_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("sec_start", p.marker() + p.space()) + p.tag("call_start", p.marker() + p.space()) + + p.tag("fun_pre", p.until(fun_marker)) + fun_marker + p.tag("rest", p.rest()); + }); + auto section_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("sec_start", p.marker() + p.space()) + fun_marker + p.tag("rest", p.rest()); + }); + auto result = per_tool_parser.parse_anywhere_and_extract(clean_haystack); + tagged_parse_result result_end; + if (result.result.success()) { + auto double_closer_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("call_end", p.marker() + p.space()) + p.tag("sec_end", p.marker() + p.space()) + p.end(); + }); + result_end = double_closer_parser.parse_anywhere_and_extract(result.tags["rest"]); + function.name_prefix = fun_res.tags["fun_pre"] + function.name_prefix; + } else { + result = section_parser.parse_anywhere_and_extract(clean_haystack); + auto single_closer_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("sec_end", p.marker() + p.space()) + p.end(); + }); + result_end = single_closer_parser.parse_anywhere_and_extract(result.tags["rest"]); + } + format.per_call_start = result.tags["call_start"]; + format.per_call_end = result_end.tags["call_end"]; + format.section_start = result.tags["sec_start"]; + format.section_end = result_end.tags["sec_end"]; +} + +void analyze_tools::check_per_call_markers() { + json assistant_one_tool = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call }) } + }; + + json assistant_two_tools = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call, second_tool_call }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_one_tool }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto one_vs_two = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_two_tools }); }); + + if (!one_vs_two) { + LOG_DBG(ANSI_ORANGE "%s: Generating double tool call comparison failed\n" ANSI_RESET, __func__); + return; + } + + diff_split filter_common_call_part = calculate_diff_split(one_vs_two->diff.suffix, one_vs_two->diff.right); + + std::string second_tool_content = trim_leading_whitespace(filter_common_call_part.right); + if (!format.section_start.empty() && + second_tool_content.find(format.section_start) == 0) { + format.per_call_start = format.section_start; + format.per_call_end = format.section_end; + format.section_start.clear(); + format.section_end.clear(); + } +} + +void analyze_tools::extract_function_markers() { + json assistant_nocall = json{ + { "role", "assistant" }, + { "content", ASSISTANT_MSG }, + }; + + json assistant_foofoo = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call }) } + }; + + json assistant_barbar = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ second_tool_call }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_foofoo }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_barbar }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + return; + } + + const auto & diff = comparison->diff; + + if (diff.left.find(FUN_FIRST) != std::string::npos && diff.right.find(FUN_SECOND) != std::string::npos) { + std::string prefix_marker; + if (!format.per_call_start.empty()) { + prefix_marker = format.per_call_start; + } else { + prefix_marker = format.section_start; + } + if (!prefix_marker.empty() && diff.prefix.rfind(prefix_marker) != std::string::npos) { + function.name_prefix = + diff.prefix.substr(diff.prefix.rfind(prefix_marker) + prefix_marker.size()); + } + + // Extract name prefix/suffix from diff.left (stop at the next marker boundary) + auto name_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("pre", p.until(FUN_FIRST)) + p.literal(FUN_FIRST) + + p.tag("post", p.zero_or_more(p.negate(p.marker()) + p.any())); + }); + auto name_result = name_parser.parse_and_extract(diff.left); + if (name_result.result.success()) { + function.name_prefix += name_result.tags["pre"]; + function.name_suffix = name_result.tags["post"]; + } + + // Extend name_suffix with content from diff.suffix before args begin + if (format.mode == tool_format::TAG_WITH_JSON) { + // For JSON: name_suffix extends to the first non-marker { or [, including any + // markers along the way. Only applies if there's at least one marker after + // the JSON content (matching the original "stop < seg_suf.size() - 1" guard). + auto suffix_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + auto non_json = p.marker() | (p.negate(p.literal("{")) + p.negate(p.literal("[")) + p.any()); + auto after_json = p.zero_or_more(p.negate(p.marker()) + p.any()) + p.marker(); + return p.tag("ext", p.zero_or_more(non_json)) + after_json; + }); + auto suf_result = suffix_parser.parse_and_extract(diff.suffix); + if (suf_result.result.success()) { + function.name_suffix += suf_result.tags["ext"]; + } + } else { + // For tagged: name_suffix extends to the first marker (arg marker) + auto suffix_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.tag("ext", p.zero_or_more(p.negate(p.marker()) + p.any())); + }); + auto suf_result = suffix_parser.parse_and_extract(diff.suffix); + if (suf_result.result.success()) { + function.name_suffix += suf_result.tags["ext"]; + } + } + + // Extract the closer (between last arg and call/section end marker) + std::string suffix_marker; + if (!format.per_call_end.empty()) { + suffix_marker = format.per_call_end; + } else { + suffix_marker = format.section_end; + } + std::string closer_suffix; + if (suffix_marker.empty()) { + // we'll have to rely on an extra diff with no-calls version + auto notool_comp = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_nocall }); }); + auto nt_diff = notool_comp->diff; + closer_suffix = nt_diff.left.substr(nt_diff.left.find("YYYY") + 4); + } else { + closer_suffix = diff.suffix.substr(0, diff.suffix.find(suffix_marker)); + } + if (!closer_suffix.empty()) { + if (format.mode == tool_format::TAG_WITH_TAGGED) { + // After last arg value, skip the closing arg marker, rest is closer + auto closer_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.until("YYYY") + p.literal("YYYY") + p.space() + + p.marker() + p.space() + + p.tag("close", p.rest()); + }); + auto close_result = closer_parser.parse_and_extract(closer_suffix); + if (close_result.result.success()) { + function.close = close_result.tags["close"]; + } + } else if (format.mode == tool_format::TAG_WITH_JSON) { + // After last arg value, find end of JSON args, rest is closer + auto closer_parser = build_tagged_peg_parser([&](common_peg_parser_builder &p) { + return p.until("YYYY") + p.literal("YYYY") + p.tag("post_val", p.rest()); + }); + auto close_result = closer_parser.parse_and_extract(closer_suffix); + if (close_result.result.success()) { + const auto & post = close_result.tags["post_val"]; + size_t pos = post.find_last_of("}]"); + if (pos != std::string::npos && pos < post.size() - 1) { + function.close = trim_leading_whitespace(post.substr(pos + 1)); + } + } + } + } + function.close = trim_leading_whitespace(function.close); + } +} + +void analyze_tools::analyze_arguments() { + LOG_DBG(ANSI_ORANGE "Phase 4: Argument analysis\n" ANSI_RESET); + + extract_argument_name_markers(); + extract_argument_value_markers(); +} + +void analyze_tools::extract_argument_name_markers() { + json assistant_first_arg = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call_one_arg }) } + }; + + json assistant_second_arg = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call_other_arg }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_first_arg }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_second_arg }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + return; + } + + const auto & diff = comparison->diff; + + if (!diff.left.empty() && !diff.right.empty()) { + // Parse both sides to find ARG_FIRST/ARG_SECOND and extract the surrounding structure + auto left_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + return p.tag("pre", p.until(ARG_FIRST)) + p.literal(ARG_FIRST) + + p.tag("suffix", p.until_one_of({"\"", "X"})); + }); + auto right_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + return p.tag("pre", p.until(ARG_SECOND)) + p.literal(ARG_SECOND) + + p.tag("suffix", p.until_one_of({"\"", "Y"})); + }); + auto left_result = left_parser.parse_anywhere_and_extract(diff.left); + auto right_result = right_parser.parse_anywhere_and_extract(diff.right); + + if (left_result.result.success() && right_result.result.success() && + !left_result.tags["pre"].empty() && + left_result.tags["pre"] == right_result.tags["pre"] && + left_result.tags["suffix"] == right_result.tags["suffix"]) { + // Name is inside a structure (e.g., JSON key): prefix is the shared wrapper + arguments.name_prefix = trim_whitespace(left_result.tags["pre"]); + arguments.name_suffix = trim_leading_whitespace(left_result.tags["suffix"]); + } else if (diff.left.substr(0, ARG_FIRST.length()) == ARG_FIRST && diff.right.substr(0, ARG_SECOND.length()) == ARG_SECOND) { + // Name is directly in the diff: prefix comes from last marker in diff.prefix + auto pre_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + auto last_marker = p.marker() + p.zero_or_more(p.negate(p.marker()) + p.any()) + p.end(); + return p.zero_or_more(p.negate(last_marker) + p.any()) + p.tag("name_prefix", last_marker); + }); + auto pre_result = pre_parser.parse_and_extract(diff.prefix); + arguments.name_prefix = pre_result.result.success() + ? pre_result.tags["name_prefix"] : diff.prefix; + + // Suffix extends from after ARG_FIRST to the first marker (+ optional whitespace). + // The marker could be in diff.left itself or in diff.suffix, so we concatenate. + std::string after_first = diff.left.substr(ARG_FIRST.length()) + diff.suffix; + auto suffix_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + return p.tag("suffix", p.zero_or_more(p.negate(p.marker()) + p.any()) + + p.marker() + p.space()); + }); + auto suf_result = suffix_parser.parse_anywhere_and_extract(after_first); + if (suf_result.result.success()) { + arguments.name_suffix = suf_result.tags["suffix"]; + } + } + } +} + +void analyze_tools::extract_argument_value_markers() { + json assistant_val_X = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call_one_arg }) } + }; + + json assistant_val_Y = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call_one_arg_other_val }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_val_X }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_val_Y }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + return; + } + + const auto & diff = comparison->diff; + + if (diff.left == "XXXX" && diff.right == "YYYY") { + std::string arg_name_ending = ARG_FIRST + arguments.name_suffix; + std::string prefix = diff.prefix; + if (prefix.rfind(arg_name_ending) != std::string::npos) { + prefix = prefix.substr(prefix.rfind(arg_name_ending) + arg_name_ending.size()); + } + if (!prefix.empty()) { + // Find the last marker + any trailing non-marker text to end + auto prefix_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + auto last_marker = p.marker() + p.zero_or_more(p.negate(p.marker()) + p.any()) + p.end(); + return p.zero_or_more(p.negate(last_marker) + p.any()) + p.tag("val_prefix", last_marker); + }); + auto pre_result = prefix_parser.parse_and_extract(prefix); + arguments.value_prefix = pre_result.result.success() ? pre_result.tags["val_prefix"] : prefix; + } + + std::string value_suffix = diff.suffix; + if (!function.close.empty()) { + size_t func_close_pos = value_suffix.find(function.close); + if (func_close_pos != std::string::npos) { + value_suffix = value_suffix.substr(0, func_close_pos); + } + } else if (!format.per_call_end.empty() || !format.section_end.empty()) { + std::string end_marker = + !format.per_call_end.empty() ? format.per_call_end : format.section_end; + size_t end_marker_pos = value_suffix.find(end_marker); + if (end_marker_pos != std::string::npos) { + value_suffix = value_suffix.substr(0, end_marker_pos); + } + } + value_suffix = trim_leading_whitespace(value_suffix); + if (!value_suffix.empty()) { + arguments.value_suffix = value_suffix; + } + } +} + +void analyze_tools::extract_argument_separator() { + json assistant_one_arg = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call_one_arg }) } + }; + + json assistant_two_args = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_one_arg }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_two_args }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + return; + } + + const auto & diff = comparison->diff; + + if (!diff.right.empty()) { + std::string separator = until_common_prefix(diff.right, ARG_FIRST, ARG_SECOND); + arguments.separator = separator; + } +} + +void analyze_tools::extract_args_markers() { + json assistant_no_args = json{ + { "role", "assistant"}, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call_zero_args }) } + }; + + json assistant_with_args = json{ + { "role", "assistant"}, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call_one_arg }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_no_args }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_with_args }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__); + return; + } + + const auto & diff = comparison->diff; + + if (format.mode != tool_format::JSON_NATIVE) { + std::string prefix_marker = !format.section_start.empty() ? format.section_start : format.per_call_start; + std::string suffix_marker = !format.section_end.empty() ? format.section_end : format.per_call_end; + // these might happen earlier in the tools section as an example or somewhere else, so we need to find the closest ones + size_t prefix_pos = prefix_marker.empty() ? 0 : diff.prefix.rfind(prefix_marker); + size_t suffix_pos = suffix_marker.empty() ? diff.suffix.size() : diff.suffix.find(suffix_marker); + if (prefix_pos == std::string::npos) { + prefix_pos = 0; + } + if (suffix_pos == std::string::npos) { + suffix_pos = diff.suffix.size(); + } + std::string prefix_cut = diff.prefix.substr(prefix_pos + prefix_marker.size()); + std::string suffix_cut = diff.suffix.substr(0, suffix_pos); + std::string args_start = until_common_prefix(prefix_cut, "{}", "{\"first\":"); + std::string args_end = after_common_suffix(suffix_cut, "{}", "\"XXXX\"}"); + + if (!args_start.empty() || !args_end.empty()) { + size_t find_fun = args_start.find(FUN_FIRST); + if (find_fun != std::string::npos) { + args_start = args_start.substr(find_fun + FUN_FIRST.size(), args_start.size() - find_fun - FUN_FIRST.size()); + } + arguments.start = args_start; + arguments.end = args_end; + } + } +} + +void analyze_tools::extract_call_id_markers() { + json assistant_id1 = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call }) } + }; + + json assistant_id2 = json{ + { "role", "assistant" }, + { "content", "" }, + { "tool_calls", json::array({ first_tool_call_alt_id }) } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_id1 }); + params.tools = tools; + params.add_generation_prompt = false; + params.enable_thinking = true; + + auto comparison = compare_variants( + *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_id2 }); }); + + if (!comparison) { + LOG_DBG(ANSI_ORANGE "%s: Template application failed for call_id detection\n" ANSI_RESET, __func__); + return; + } + + const auto & diff = comparison->diff; + + if (diff.left.empty() && diff.right.empty()) { + return; + } + + std::string id_value_1 = "call00001"; + std::string id_value_2 = "call99999"; + + size_t common_id_prefix_len = 0; + for (size_t i = 0; i < std::min(id_value_1.length(), id_value_2.length()); i++) { + if (id_value_1[i] == id_value_2[i]) { + common_id_prefix_len++; + } else { + break; + } + } + std::string common_id_part = id_value_1.substr(0, common_id_prefix_len); + + // Check if the function name is in the prefix (normal case: BETWEEN_FUNC_AND_ARGS or POST_ARGS) + // or in the suffix (call_id is PRE_FUNC_NAME) + std::string func_name = FUN_FIRST; + size_t func_name_in_prefix = diff.prefix.rfind(func_name); + size_t func_name_in_suffix = diff.suffix.find(func_name); + + // Helper: find the last marker in a string (returns just the marker, not trailing text) + auto find_last_marker = [](const std::string & str) -> std::string { + auto parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + auto last = p.marker() + p.zero_or_more(p.negate(p.marker()) + p.any()) + p.end(); + return p.zero_or_more(p.negate(last) + p.any()) + p.tag("m", p.marker()); + }); + auto res = parser.parse_anywhere_and_extract(str); + return res.result.success() ? res.tags["m"] : ""; + }; + + // Helper: find the first marker in a string + auto find_first_marker = [](const std::string & str) -> std::string { + auto parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + return p.tag("m", p.marker()); + }); + auto res = parser.parse_anywhere_and_extract(str); + return res.result.success() ? res.tags["m"] : ""; + }; + + if (func_name_in_prefix != std::string::npos && func_name_in_suffix == std::string::npos) { + // Function name is only in prefix - call_id is BETWEEN_FUNC_AND_ARGS or POST_ARGS + // Check if args indicator "{" is in prefix or suffix + size_t args_in_prefix = diff.prefix.find('{', func_name_in_prefix); + size_t args_in_suffix = diff.suffix.find('{'); + + if (args_in_suffix != std::string::npos && + (args_in_prefix == std::string::npos || args_in_prefix > diff.prefix.length())) { + // Args are in suffix, so call_id is BETWEEN_FUNC_AND_ARGS + call_id.pos = call_id_position::BETWEEN_FUNC_AND_ARGS; + + // Find call_id_prefix: marker immediately preceding common_id_part (no intervening markers) + std::string after_func = diff.prefix.substr(func_name_in_prefix + func_name.length()); + auto id_prefix_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + return p.tag("prefix", p.marker()) + + p.zero_or_more(p.negate(p.marker()) + p.negate(p.literal(common_id_part)) + p.any()) + + p.literal(common_id_part); + }); + auto id_res = id_prefix_parser.parse_anywhere_and_extract(after_func); + if (id_res.result.success()) { + call_id.prefix = id_res.tags["prefix"]; + } else { + // Fallback: use the last marker in after_func + call_id.prefix = find_last_marker(after_func); + } + + // Extract call_id_suffix: the first marker in the suffix before args "{" + auto suffix_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) { + return p.zero_or_more(p.negate(p.marker()) + p.negate(p.literal("{")) + p.any()) + + p.tag("suffix", p.marker()); + }); + auto suf_res = suffix_parser.parse_anywhere_and_extract(diff.suffix); + if (suf_res.result.success()) { + call_id.suffix = suf_res.tags["suffix"]; + } + } else if (args_in_prefix != std::string::npos) { + // Args are in prefix, so call_id is POST_ARGS + call_id.pos = call_id_position::POST_ARGS; + + // Extract last marker between args closing brace and the ID + std::string after_args = diff.prefix.substr(args_in_prefix); + size_t closing_brace = after_args.rfind('}'); + if (closing_brace != std::string::npos) { + std::string between_args_and_id = after_args.substr(closing_brace + 1); + call_id.prefix = find_last_marker(between_args_and_id); + } + + // call_id_suffix: first marker in diff.suffix + call_id.suffix = find_first_marker(diff.suffix); + } + } else if (func_name_in_suffix != std::string::npos && func_name_in_prefix == std::string::npos) { + // Function name is only in suffix - call_id is PRE_FUNC_NAME + call_id.pos = call_id_position::PRE_FUNC_NAME; + + // call_id_prefix: last marker in diff.prefix + call_id.prefix = find_last_marker(diff.prefix); + + // call_id_suffix: first marker in the portion of diff.suffix before func_name + std::string before_func = diff.suffix.substr(0, func_name_in_suffix); + call_id.suffix = find_first_marker(before_func); + } + + // When call_id is detected, per_call_end may have been incorrectly set to include + // the call_id_suffix and sample args. Clear it if it starts with call_id_suffix. + if (call_id.pos != call_id_position::NONE && !call_id.suffix.empty() && + format.per_call_end.find(call_id.suffix) == 0) { + format.per_call_end.clear(); + } +} + +} // namespace autoparser diff --git a/common/chat-parser-xml-toolcall.cpp b/common/chat-parser-xml-toolcall.cpp deleted file mode 100644 index ba359fdbf4..0000000000 --- a/common/chat-parser-xml-toolcall.cpp +++ /dev/null @@ -1,879 +0,0 @@ -#include "chat.h" -#include "chat-parser.h" -#include "common.h" -#include "json-partial.h" -#include "json-schema-to-grammar.h" -#include "log.h" -#include "regex-partial.h" - -using json = nlohmann::ordered_json; - -class xml_toolcall_syntax_exception : public std::runtime_error { - public: - xml_toolcall_syntax_exception(const std::string & message) : std::runtime_error(message) {} -}; - -template -inline void sort_uniq(std::vector &vec) { - std::sort(vec.begin(), vec.end()); - vec.erase(std::unique(vec.begin(), vec.end()), vec.end()); -} - -template -inline bool all_space(const T &str) { - return std::all_of(str.begin(), str.end(), [](unsigned char ch) { return std::isspace(ch); }); -} - -static size_t utf8_truncate_safe(const std::string_view s) { - size_t len = s.size(); - if (len == 0) return 0; - size_t i = len; - for (size_t back = 0; back < 4 && i > 0; ++back) { - --i; - unsigned char c = s[i]; - if ((c & 0x80) == 0) { - return len; - } else if ((c & 0xC0) == 0xC0) { - size_t expected_len = 0; - if ((c & 0xE0) == 0xC0) expected_len = 2; - else if ((c & 0xF0) == 0xE0) expected_len = 3; - else if ((c & 0xF8) == 0xF0) expected_len = 4; - else return i; - if (len - i >= expected_len) { - return len; - } else { - return i; - } - } - } - return len - std::min(len, size_t(3)); -} - -inline void utf8_truncate_safe_resize(std::string &s) { - s.resize(utf8_truncate_safe(s)); -} - -inline std::string_view utf8_truncate_safe_view(const std::string_view s) { - return s.substr(0, utf8_truncate_safe(s)); -} - -static std::optional try_find_2_literal_splited_by_spaces(common_chat_msg_parser & builder, const std::string & literal1, const std::string & literal2) { - if (literal1.size() == 0) return builder.try_find_literal(literal2); - const auto saved_pos = builder.pos(); - while (auto res = builder.try_find_literal(literal1)) { - builder.consume_spaces(); - const auto match_len = std::min(literal2.size(), builder.input().size() - builder.pos()); - if (builder.input().compare(builder.pos(), match_len, literal2, 0, match_len) == 0) { - if (res->prelude.size() != res->groups[0].begin - saved_pos) { - res->prelude = builder.str({saved_pos, res->groups[0].begin}); - } - builder.move_to(builder.pos() + match_len); - res->groups[0].end = builder.pos(); - GGML_ASSERT(res->groups[0].begin != res->groups[0].end); - return res; - } - builder.move_to(res->groups[0].begin + 1); - } - builder.move_to(saved_pos); - return std::nullopt; -} - -/** - * make a GBNF that accept any strings except those containing any of the forbidden strings. - */ -std::string make_gbnf_excluding(std::vector forbids) { - constexpr auto charclass_escape = [](unsigned char c) -> std::string { - if (c == '\\' || c == ']' || c == '^' || c == '-') { - std::string s = "\\"; - s.push_back((char)c); - return s; - } - if (isprint(c)) { - return std::string(1, (char)c); - } - char buf[16]; - snprintf(buf, 15, "\\x%02X", c); - return std::string(buf); - }; - constexpr auto build_expr = [charclass_escape](auto self, const std::vector& forbids, int l, int r, int depth) -> std::string { - std::vector>> children; - int i = l; - while (i < r) { - const std::string &s = forbids[i]; - if ((int)s.size() == depth) { - ++i; - continue; - } - unsigned char c = (unsigned char)s[depth]; - int j = i; - while (j < r && (int)forbids[j].size() > depth && - (unsigned char)forbids[j][depth] == c) { - ++j; - } - children.push_back({c, {i, j}}); - i = j; - } - std::vector alts; - if (!children.empty()) { - std::string cls; - for (auto &ch : children) cls += charclass_escape(ch.first); - alts.push_back(std::string("[^") + cls + "]"); - } - for (auto &ch : children) { - std::string childExpr = self(self, forbids, ch.second.first, ch.second.second, depth+1); - if (!childExpr.empty()) { - std::string quoted_ch = "\""; - if (ch.first == '\\') quoted_ch += "\\\\"; - else if (ch.first == '"') quoted_ch += "\\\""; - else if (isprint(ch.first)) quoted_ch.push_back(ch.first); - else { - char buf[16]; - snprintf(buf, 15, "\\x%02X", ch.first); - quoted_ch += buf; - } - quoted_ch += "\""; - std::string branch = quoted_ch + std::string(" ") + childExpr; - alts.push_back(branch); - } - } - if (alts.empty()) return ""; - std::ostringstream oss; - oss << "( "; - for (size_t k = 0; k < alts.size(); ++k) { - if (k) oss << " | "; - oss << alts[k]; - } - oss << " )"; - return oss.str(); - }; - if (forbids.empty()) return "( . )*"; - sort(forbids.begin(), forbids.end()); - std::string expr = build_expr(build_expr, forbids, 0, forbids.size(), 0); - if (expr.empty()) { - std::string cls; - for (auto &s : forbids) if (!s.empty()) cls += charclass_escape((unsigned char)s[0]); - expr = std::string("( [^") + cls + "] )"; - } - if (forbids.size() == 1) - return expr + "*"; - else - return std::string("( ") + expr + " )*"; -} - -/** - * Build grammar for xml-style tool call - * form.scope_start and form.scope_end can be empty. - * Requires data.format for model-specific hacks. - */ -void build_grammar_xml_tool_call(common_chat_params & data, const json & tools, const struct xml_tool_call_format & form) { - GGML_ASSERT(!form.tool_start.empty()); - GGML_ASSERT(!form.tool_sep.empty()); - GGML_ASSERT(!form.key_start.empty()); - GGML_ASSERT(!form.val_end.empty()); - GGML_ASSERT(!form.tool_end.empty()); - - std::string key_val_sep = form.key_val_sep; - if (form.key_val_sep2) { - key_val_sep += "\n"; - key_val_sep += *form.key_val_sep2; - } - GGML_ASSERT(!key_val_sep.empty()); - - if (tools.is_array() && !tools.empty()) { - data.grammar = build_grammar([&](const common_grammar_builder &builder) { - auto string_arg_val = form.last_val_end ? - builder.add_rule("string-arg-val", make_gbnf_excluding({form.val_end, *form.last_val_end})) : - builder.add_rule("string-arg-val", make_gbnf_excluding({form.val_end})); - - std::vector tool_rules; - for (const auto & tool : tools) { - if (!tool.contains("type") || tool.at("type") != "function" || !tool.contains("function")) { - LOG_WRN("Skipping tool without function: %s", tool.dump(2).c_str()); - continue; - } - const auto & function = tool.at("function"); - if (!function.contains("name") || !function.at("name").is_string()) { - LOG_WRN("Skipping invalid function (invalid name): %s", function.dump(2).c_str()); - continue; - } - if (!function.contains("parameters") || !function.at("parameters").is_object()) { - LOG_WRN("Skipping invalid function (invalid parameters): %s", function.dump(2).c_str()); - continue; - } - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - - struct parameter_rule { - std::string symbol_name; - bool is_required; - }; - std::vector arg_rules; - if (!parameters.contains("properties") || !parameters.at("properties").is_object()) { - LOG_WRN("Skipping invalid function (invalid properties): %s", function.dump(2).c_str()); - continue; - } else { - std::vector requiredParameters; - if (parameters.contains("required")) { - try { parameters.at("required").get_to(requiredParameters); } - catch (const std::runtime_error&) { - LOG_WRN("Invalid function required parameters, ignoring: %s", function.at("required").dump(2).c_str()); - } - } - sort_uniq(requiredParameters); - for (const auto & [key, value] : parameters.at("properties").items()) { - std::string quoted_key = key; - bool required = std::binary_search(requiredParameters.begin(), requiredParameters.end(), key); - if (form.key_start.back() == '"' && key_val_sep[0] == '"') { - quoted_key = gbnf_format_literal(key); - quoted_key = quoted_key.substr(1, quoted_key.size() - 2); - } - arg_rules.push_back(parameter_rule {builder.add_rule("func-" + name + "-kv-" + key, - gbnf_format_literal(form.key_start) + " " + - gbnf_format_literal(quoted_key) + " " + - gbnf_format_literal(key_val_sep) + " " + - ((value.contains("type") && value["type"].is_string() && value["type"] == "string" && (!form.raw_argval || *form.raw_argval)) ? - (form.raw_argval ? - string_arg_val : - "( " + string_arg_val + " | " + builder.add_schema(name + "-arg-" + key, value) + " )" - ) : - builder.add_schema(name + "-arg-" + key, value) - ) - ), required}); - } - } - - auto next_arg_with_sep = builder.add_rule(name + "-last-arg-end", form.last_val_end ? gbnf_format_literal(*form.last_val_end) : gbnf_format_literal(form.val_end)); - decltype(next_arg_with_sep) next_arg = "\"\""; - for (auto i = arg_rules.size() - 1; /* i >= 0 && */ i < arg_rules.size(); --i) { - std::string include_this_arg = arg_rules[i].symbol_name + " " + next_arg_with_sep; - next_arg = builder.add_rule(name + "-arg-after-" + std::to_string(i), arg_rules[i].is_required ? - include_this_arg : "( " + include_this_arg + " ) | " + next_arg - ); - include_this_arg = gbnf_format_literal(form.val_end) + " " + include_this_arg; - next_arg_with_sep = builder.add_rule(name + "-arg-after-" + std::to_string(i) + "-with-sep", arg_rules[i].is_required ? - include_this_arg : "( " + include_this_arg + " ) | " + next_arg_with_sep - ); - } - - std::string quoted_name = name; - if (form.tool_start.back() == '"' && form.tool_sep[0] == '"') { - quoted_name = gbnf_format_literal(name); - quoted_name = quoted_name.substr(1, quoted_name.size() - 2); - } - quoted_name = gbnf_format_literal(quoted_name); - // Kimi-K2 uses functions.{{ tool_call['function']['name'] }}:{{ loop.index }} as function name - if (data.format == COMMON_CHAT_FORMAT_KIMI_K2) { - quoted_name = "\"functions.\" " + quoted_name + " \":\" [0-9]+"; - } - tool_rules.push_back(builder.add_rule(name + "-call", - gbnf_format_literal(form.tool_start) + " " + - quoted_name + " " + - gbnf_format_literal(form.tool_sep) + " " + - next_arg - )); - } - - auto tool_call_once = builder.add_rule("root-tool-call-once", string_join(tool_rules, " | ")); - auto tool_call_more = builder.add_rule("root-tool-call-more", gbnf_format_literal(form.tool_end) + " " + tool_call_once); - auto call_end = builder.add_rule("root-call-end", form.last_tool_end ? gbnf_format_literal(*form.last_tool_end) : gbnf_format_literal(form.tool_end)); - auto tool_call_multiple_with_end = builder.add_rule("root-tool-call-multiple-with-end", tool_call_once + " " + tool_call_more + "* " + call_end); - builder.add_rule("root", - (form.scope_start.empty() ? "" : gbnf_format_literal(form.scope_start) + " ") + - tool_call_multiple_with_end + "?" + - (form.scope_end.empty() ? "" : " " + gbnf_format_literal(form.scope_end)) - ); - }); - - // grammar trigger for tool call - data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, form.scope_start + form.tool_start }); - } -} - -/** - * Parse XML-Style tool call for given xml_tool_call_format. Return false for invalid syntax and get the position untouched. - * Throws xml_toolcall_syntax_exception if there is invalid syntax and cannot recover the original status for common_chat_msg_parser. - * form.scope_start, form.tool_sep and form.scope_end can be empty. - */ -inline bool parse_xml_tool_calls(common_chat_msg_parser & builder, const struct xml_tool_call_format & form) { - GGML_ASSERT(!form.tool_start.empty()); - GGML_ASSERT(!form.key_start.empty()); - GGML_ASSERT(!form.key_val_sep.empty()); - GGML_ASSERT(!form.val_end.empty()); - GGML_ASSERT(!form.tool_end.empty()); - - // Helper to choose return false or throw error - constexpr auto return_error = [](common_chat_msg_parser & builder, auto &start_pos, const bool &recovery) { - LOG_DBG("Failed to parse XML-Style tool call at position: %s\n", gbnf_format_literal(builder.consume_rest().substr(0, 20)).c_str()); - if (recovery) { - builder.move_to(start_pos); - return false; - } else throw xml_toolcall_syntax_exception("Tool call parsing failed with unrecoverable errors. Try using a grammar to constrain the model’s output."); - }; - // Drop substring from needle to end from a JSON - constexpr auto partial_json = [](std::string &json_str, std::string_view needle = "XML_TOOL_CALL_PARTIAL_FLAG") { - auto pos = json_str.rfind(needle); - if (pos == std::string::npos) { - return false; - } - for (auto i = pos + needle.size(); i < json_str.size(); ++i) { - unsigned char ch = static_cast(json_str[i]); - if (ch != '\'' && ch != '"' && ch != '}' && ch != ':' && !std::isspace(ch)) { - return false; - } - } - if (pos != 0 && json_str[pos - 1] == '"') { - --pos; - } - json_str.resize(pos); - return true; - }; - // Helper to generate a partial argument JSON - constexpr auto gen_partial_json = [partial_json](auto set_partial_arg, auto &arguments, auto &builder, auto &function_name) { - auto rest = builder.consume_rest(); - utf8_truncate_safe_resize(rest); - set_partial_arg(rest, "XML_TOOL_CALL_PARTIAL_FLAG"); - auto tool_str = arguments.dump(); - if (partial_json(tool_str)) { - if (builder.add_tool_call(function_name, "", tool_str)) { - return; - } - } - LOG_DBG("Failed to parse partial XML-Style tool call, fallback to non-partial: %s\n", tool_str.c_str()); - }; - // Helper to find a close (because there may be form.last_val_end or form.last_tool_end) - constexpr auto try_find_close = []( - common_chat_msg_parser & builder, - const std::string & end, - const std::optional & alt_end, - const std::string & end_next, - const std::optional & alt_end_next - ) { - auto saved_pos = builder.pos(); - auto tc = builder.try_find_literal(end); - auto val_end_size = end.size(); - if (alt_end) { - auto pos_1 = builder.pos(); - builder.move_to(saved_pos); - auto tc2 = try_find_2_literal_splited_by_spaces(builder, *alt_end, end_next); - if (alt_end_next) { - builder.move_to(saved_pos); - auto tc3 = try_find_2_literal_splited_by_spaces(builder, *alt_end, *alt_end_next); - if (tc3 && (!tc2 || tc2->prelude.size() > tc3->prelude.size())) { - tc2 = tc3; - } - } - if (tc2 && (!tc || tc->prelude.size() > tc2->prelude.size())) { - tc = tc2; - tc->groups[0].end = std::min(builder.input().size(), tc->groups[0].begin + alt_end->size()); - builder.move_to(tc->groups[0].end); - val_end_size = alt_end->size(); - } else { - builder.move_to(pos_1); - } - } - return std::make_pair(val_end_size, tc); - }; - // Helper to find a val_end or last_val_end, returns matched pattern size - const auto try_find_val_end = [try_find_close, &builder, &form]() { - return try_find_close(builder, form.val_end, form.last_val_end, form.tool_end, form.last_tool_end); - }; - // Helper to find a tool_end or last_tool_end, returns matched pattern size - const auto try_find_tool_end = [try_find_close, &builder, &form]() { - return try_find_close(builder, form.tool_end, form.last_tool_end, form.scope_end, std::nullopt); - }; - - bool recovery = true; - const auto start_pos = builder.pos(); - if (!all_space(form.scope_start)) { - if (auto tc = builder.try_find_literal(form.scope_start)) { - if (all_space(tc->prelude)) { - if (form.scope_start.size() != tc->groups[0].end - tc->groups[0].begin) - throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(form.scope_start)); - } else { - builder.move_to(start_pos); - return false; - } - } else return false; - } - while (auto tc = builder.try_find_literal(form.tool_start)) { - if (!all_space(tc->prelude)) { - LOG_DBG("XML-Style tool call: Expected %s, but found %s, trying to match next pattern\n", - gbnf_format_literal(form.tool_start).c_str(), - gbnf_format_literal(tc->prelude).c_str() - ); - builder.move_to(tc->groups[0].begin - tc->prelude.size()); - break; - } - - // Find tool name - auto func_name = builder.try_find_literal(all_space(form.tool_sep) ? form.key_start : form.tool_sep); - if (!func_name) { - auto [sz, tc] = try_find_tool_end(); - func_name = tc; - } - if (!func_name) { - // Partial tool name not supported - throw common_chat_msg_partial_exception("incomplete tool_call"); - } - // If the model generate multiple tool call and the first tool call has no argument - if (func_name->prelude.find(form.tool_end) != std::string::npos || (form.last_tool_end ? func_name->prelude.find(*form.last_tool_end) != std::string::npos : false)) { - builder.move_to(func_name->groups[0].begin - func_name->prelude.size()); - auto [sz, tc] = try_find_tool_end(); - func_name = tc; - } - - // Parse tool name - builder.move_to(all_space(form.tool_sep) ? func_name->groups[0].begin : func_name->groups[0].end); - std::string function_name = string_strip(func_name->prelude); - // Kimi-K2 uses functions.{{ tool_call['function']['name'] }}:{{ loop.index }} as function name - if (builder.syntax().format == COMMON_CHAT_FORMAT_KIMI_K2) { - if (string_starts_with(function_name, "functions.")) { - static const std::regex re(":\\d+$"); - if (std::regex_search(function_name, re)) { - function_name = function_name.substr(10, function_name.rfind(":") - 10); - } - } - } - - // Argument JSON - json arguments = json::object(); - - // Helper to generate a partial argument JSON - const auto gen_partial_args = [&](auto set_partial_arg) { - gen_partial_json(set_partial_arg, arguments, builder, function_name); - }; - - // Parse all arg_key/arg_value pairs - while (auto tc = builder.try_find_literal(form.key_start)) { - if (!all_space(tc->prelude)) { - LOG_DBG("XML-Style tool call: Expected %s, but found %s, trying to match next pattern\n", - gbnf_format_literal(form.key_start).c_str(), - gbnf_format_literal(tc->prelude).c_str() - ); - builder.move_to(tc->groups[0].begin - tc->prelude.size()); - break; - } - if (tc->groups[0].end - tc->groups[0].begin != form.key_start.size()) { - auto tool_call_arg = arguments.dump(); - if (tool_call_arg.size() != 0 && tool_call_arg[tool_call_arg.size() - 1] == '}') { - tool_call_arg.resize(tool_call_arg.size() - 1); - } - builder.add_tool_call(function_name, "", tool_call_arg); - throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(form.key_start)); - } - - // Parse arg_key - auto key_res = builder.try_find_literal(form.key_val_sep); - if (!key_res) { - gen_partial_args([&](auto &rest, auto &needle) {arguments[rest + needle] = "";}); - throw common_chat_msg_partial_exception("Expected " + gbnf_format_literal(form.key_val_sep) + " after " + gbnf_format_literal(form.key_start)); - } - if (key_res->groups[0].end - key_res->groups[0].begin != form.key_val_sep.size()) { - gen_partial_args([&](auto &, auto &needle) {arguments[key_res->prelude + needle] = "";}); - throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(form.key_val_sep)); - } - auto &key = key_res->prelude; - recovery = false; - - // Parse arg_value - if (form.key_val_sep2) { - if (auto tc = builder.try_find_literal(*form.key_val_sep2)) { - if (!all_space(tc->prelude)) { - LOG_DBG("Failed to parse XML-Style tool call: Unexcepted %s between %s and %s\n", - gbnf_format_literal(tc->prelude).c_str(), - gbnf_format_literal(form.key_val_sep).c_str(), - gbnf_format_literal(*form.key_val_sep2).c_str() - ); - return return_error(builder, start_pos, false); - } - if (tc->groups[0].end - tc->groups[0].begin != form.key_val_sep2->size()) { - gen_partial_args([&](auto &, auto &needle) {arguments[key] = needle;}); - throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(*form.key_val_sep2)); - } - } else { - gen_partial_args([&](auto &, auto &needle) {arguments[key] = needle;}); - throw common_chat_msg_partial_exception("Expected " + gbnf_format_literal(*form.key_val_sep2) + " after " + gbnf_format_literal(form.key_val_sep)); - } - } - auto val_start = builder.pos(); - - // Test if arg_val is a partial JSON - std::optional value_json = std::nullopt; - if (!form.raw_argval || !*form.raw_argval) { - try { value_json = builder.try_consume_json(); } - catch (const std::runtime_error&) { builder.move_to(val_start); } - // TODO: Delete this when json_partial adds top-level support for null/true/false - if (builder.pos() == val_start) { - const static std::regex number_regex(R"([0-9-][0-9]*(\.\d*)?([eE][+-]?\d*)?)"); - builder.consume_spaces(); - std::string_view sv = utf8_truncate_safe_view(builder.input()); - sv.remove_prefix(builder.pos()); - std::string rest = "a"; - if (sv.size() < 6) rest = sv; - if (string_starts_with("null", rest) || string_starts_with("true", rest) || string_starts_with("false", rest) || std::regex_match(sv.begin(), sv.end(), number_regex)) { - value_json = {123, {"123", "123"}}; - builder.consume_rest(); - } else { - builder.move_to(val_start); - } - } - } - - // If it is a JSON and followed by , parse as json - // cannot support streaming because it may be a plain text starting with JSON - if (value_json) { - auto json_end = builder.pos(); - builder.consume_spaces(); - if (builder.pos() == builder.input().size()) { - if (form.raw_argval && !*form.raw_argval && (value_json->json.is_string() || value_json->json.is_object() || value_json->json.is_array())) { - arguments[key] = value_json->json; - auto json_str = arguments.dump(); - if (!value_json->healing_marker.json_dump_marker.empty()) { - GGML_ASSERT(std::string::npos != json_str.rfind(value_json->healing_marker.json_dump_marker)); - json_str.resize(json_str.rfind(value_json->healing_marker.json_dump_marker)); - } else { - GGML_ASSERT(json_str.back() == '}'); - json_str.resize(json_str.size() - 1); - } - builder.add_tool_call(function_name, "", json_str); - } else { - gen_partial_args([&](auto &, auto &needle) {arguments[key] = needle;}); - } - LOG_DBG("Possible JSON arg_value: %s\n", value_json->json.dump().c_str()); - throw common_chat_msg_partial_exception("JSON arg_value detected. Waiting for more tokens for validations."); - } - builder.move_to(json_end); - auto [val_end_size, tc] = try_find_val_end(); - if (tc && all_space(tc->prelude) && value_json->healing_marker.marker.empty()) { - if (tc->groups[0].end - tc->groups[0].begin != val_end_size) { - gen_partial_args([&](auto &, auto &needle) {arguments[key] = needle;}); - LOG_DBG("Possible terminated JSON arg_value: %s\n", value_json->json.dump().c_str()); - throw common_chat_msg_partial_exception("Partial literal: " + gbnf_format_literal(form.val_end) + (form.last_val_end ? gbnf_format_literal(*form.last_val_end) : "")); - } else arguments[key] = value_json->json; - } else builder.move_to(val_start); - } - - // If not, parse as plain text - if (val_start == builder.pos()) { - if (auto [val_end_size, value_plain] = try_find_val_end(); value_plain) { - auto &value_str = value_plain->prelude; - if (form.trim_raw_argval) value_str = string_strip(value_str); - if (value_plain->groups[0].end - value_plain->groups[0].begin != val_end_size) { - gen_partial_args([&](auto &, auto &needle) {arguments[key] = value_str + needle;}); - throw common_chat_msg_partial_exception( - "Expected " + gbnf_format_literal(form.val_end) + - " after " + gbnf_format_literal(form.key_val_sep) + - (form.key_val_sep2 ? " " + gbnf_format_literal(*form.key_val_sep2) : "") - ); - } - arguments[key] = value_str; - } else { - if (form.trim_raw_argval) { - gen_partial_args([&](auto &rest, auto &needle) {arguments[key] = string_strip(rest) + needle;}); - } else { - gen_partial_args([&](auto &rest, auto &needle) {arguments[key] = rest + needle;}); - } - throw common_chat_msg_partial_exception( - "Expected " + gbnf_format_literal(form.val_end) + - " after " + gbnf_format_literal(form.key_val_sep) + - (form.key_val_sep2 ? " " + gbnf_format_literal(*form.key_val_sep2) : "") - ); - } - } - } - - // Consume closing tag - if (auto [tool_end_size, tc] = try_find_tool_end(); tc) { - if (!all_space(tc->prelude)) { - LOG_DBG("Failed to parse XML-Style tool call: Expected %s, but found %s\n", - gbnf_format_literal(form.tool_end).c_str(), - gbnf_format_literal(tc->prelude).c_str() - ); - return return_error(builder, start_pos, recovery); - } - if (tc->groups[0].end - tc->groups[0].begin == tool_end_size) { - // Add the parsed tool call - if (!builder.add_tool_call(function_name, "", arguments.dump())) { - throw common_chat_msg_partial_exception("Failed to add XML-Style tool call"); - } - recovery = false; - continue; - } - } - - auto tool_call_arg = arguments.dump(); - if (tool_call_arg.size() != 0 && tool_call_arg[tool_call_arg.size() - 1] == '}') { - tool_call_arg.resize(tool_call_arg.size() - 1); - } - builder.add_tool_call(function_name, "", tool_call_arg); - throw common_chat_msg_partial_exception("Expected " + gbnf_format_literal(form.tool_end) + " after " + gbnf_format_literal(form.val_end)); - } - if (auto tc = builder.try_find_literal(form.scope_end)) { - if (!all_space(tc->prelude)) { - LOG_DBG("Failed to parse XML-Style tool call: Expected %s, but found %s\n", - gbnf_format_literal(form.scope_end).c_str(), - gbnf_format_literal(tc->prelude).c_str() - ); - return return_error(builder, start_pos, recovery); - } - } else { - if (all_space(form.scope_end)) return true; - builder.consume_spaces(); - if (builder.pos() == builder.input().size()) - throw common_chat_msg_partial_exception("incomplete tool calls"); - LOG_DBG("Failed to parse XML-Style tool call: Expected %s, but found %s\n", - gbnf_format_literal(form.scope_end).c_str(), - gbnf_format_literal(builder.consume_rest()).c_str() - ); - return return_error(builder, start_pos, recovery); - } - - return true; -} - -/** - * Parse XML-Style tool call for given xml_tool_call_format. Return false for invalid syntax and get the position untouched. - * May cause std::runtime_error if there is invalid syntax because partial valid tool call is already sent out to client. - * form.scope_start, form.tool_sep and form.scope_end can be empty. - */ -bool common_chat_msg_parser::try_consume_xml_tool_calls(const struct xml_tool_call_format & form) { - auto pos = pos_; - auto tsize = result_.tool_calls.size(); - try { return parse_xml_tool_calls(*this, form); } - catch (const xml_toolcall_syntax_exception&) {} - move_to(pos); - result_.tool_calls.resize(tsize); - return false; -} - -/** - * Parse content uses reasoning and XML-Style tool call - * TODO: Note that form.allow_toolcall_in_think is not tested yet. If anyone confirms it works, this comment can be removed. - */ -inline void parse_msg_with_xml_tool_calls(common_chat_msg_parser & builder, const struct xml_tool_call_format & form, const std::string & start_think = "", const std::string & end_think = "") { - constexpr auto rstrip = [](std::string &s) { - s.resize(std::distance(s.begin(), std::find_if(s.rbegin(), s.rend(), [](unsigned char ch) { return !std::isspace(ch); }).base())); - }; - // Erase substring from l to r, along with additional spaces nearby - constexpr auto erase_spaces = [](auto &str, size_t l, size_t r) { - while (/* l > -1 && */ --l < str.size() && std::isspace(static_cast(str[l]))); - ++l; - while (++r < str.size() && std::isspace(static_cast(str[r]))); - if (l < r) str[l] = '\n'; - if (l + 1 < r) str[l + 1] = '\n'; - if (l != 0) l += 2; - str.erase(l, r - l); - return l; - }; - constexpr auto trim_suffix = [](std::string &content, std::initializer_list list) { - auto best_match = content.size(); - for (auto pattern: list) { - if (pattern.size() == 0) continue; - for (auto match_idx = content.size() - std::min(pattern.size(), content.size()); content.size() > match_idx; match_idx++) { - auto match_len = content.size() - match_idx; - if (content.compare(match_idx, match_len, pattern.data(), match_len) == 0 && best_match > match_idx) { - best_match = match_idx; - } - } - } - if (content.size() > best_match) { - content.erase(best_match); - } - }; - const auto trim_potential_partial_word = [&start_think, &end_think, &form, trim_suffix](std::string &content) { - return trim_suffix(content, { - start_think, end_think, form.scope_start, form.tool_start, form.tool_sep, form.key_start, - form.key_val_sep, form.key_val_sep2 ? form.key_val_sep2->c_str() : "", - form.val_end, form.last_val_end ? form.last_val_end->c_str() : "", - form.tool_end, form.last_tool_end ? form.last_tool_end->c_str() : "", - form.scope_end - }); - }; - - - // Trim leading spaces without affecting keyword matching - static const common_regex spaces_regex("\\s*"); - { - auto tc = builder.consume_regex(spaces_regex); - auto spaces = builder.str(tc.groups[0]); - auto s1 = spaces.size(); - trim_potential_partial_word(spaces); - auto s2 = spaces.size(); - builder.move_to(builder.pos() - (s1 - s2)); - } - - // Parse content - bool reasoning_unclosed = builder.syntax().thinking_forced_open; - std::string unclosed_reasoning_content(""); - for (;;) { - auto tc = try_find_2_literal_splited_by_spaces(builder, form.scope_start, form.tool_start); - std::string content; - std::string tool_call_start; - - if (tc) { - content = std::move(tc->prelude); - tool_call_start = builder.str(tc->groups[0]); - LOG_DBG("Matched tool start: %s\n", gbnf_format_literal(tool_call_start).c_str()); - } else { - content = builder.consume_rest(); - utf8_truncate_safe_resize(content); - } - - // Handle unclosed think block - if (reasoning_unclosed) { - if (auto pos = content.find(end_think); pos == std::string::npos && builder.pos() != builder.input().size()) { - unclosed_reasoning_content += content; - if (!(form.allow_toolcall_in_think && tc)) { - unclosed_reasoning_content += tool_call_start; - continue; - } - } else { - reasoning_unclosed = false; - std::string reasoning_content; - if (pos == std::string::npos) { - reasoning_content = std::move(content); - } else { - reasoning_content = content.substr(0, pos); - content.erase(0, pos + end_think.size()); - } - if (builder.pos() == builder.input().size() && all_space(content)) { - rstrip(reasoning_content); - trim_potential_partial_word(reasoning_content); - rstrip(reasoning_content); - if (reasoning_content.empty()) { - rstrip(unclosed_reasoning_content); - trim_potential_partial_word(unclosed_reasoning_content); - rstrip(unclosed_reasoning_content); - if (unclosed_reasoning_content.empty()) continue; - } - } - if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE || builder.syntax().reasoning_in_content) { - builder.add_content(start_think); - builder.add_content(unclosed_reasoning_content); - builder.add_content(reasoning_content); - if (builder.pos() != builder.input().size() || !all_space(content)) - builder.add_content(end_think); - } else { - builder.add_reasoning_content(unclosed_reasoning_content); - builder.add_reasoning_content(reasoning_content); - } - unclosed_reasoning_content.clear(); - } - } - - // Handle multiple think block - bool toolcall_in_think = false; - for (auto think_start = content.find(start_think); think_start != std::string::npos; think_start = content.find(start_think, think_start)) { - if (auto think_end = content.find(end_think, think_start + start_think.size()); think_end != std::string::npos) { - if (builder.syntax().reasoning_format != COMMON_REASONING_FORMAT_NONE && !builder.syntax().reasoning_in_content) { - auto reasoning_content = content.substr(think_start + start_think.size(), think_end - think_start - start_think.size()); - builder.add_reasoning_content(reasoning_content); - think_start = erase_spaces(content, think_start, think_end + end_think.size() - 1); - } else { - think_start = think_end + end_think.size() - 1; - } - } else { - // This start is in thinking block, skip this tool call - // This start is in thinking block - if (form.allow_toolcall_in_think) { - unclosed_reasoning_content = content.substr(think_start + start_think.size()); - } else { - unclosed_reasoning_content = content.substr(think_start + start_think.size()) + tool_call_start; - } - reasoning_unclosed = true; - content.resize(think_start); - toolcall_in_think = true; - } - } - - if (builder.syntax().reasoning_format != COMMON_REASONING_FORMAT_NONE && !builder.syntax().reasoning_in_content) { - rstrip(content); - // Handle unclosed token from content: delete all token - if (auto pos = content.rfind(end_think); pos != std::string::npos) { - while (pos != std::string::npos) { - pos = erase_spaces(content, pos, pos + end_think.size() - 1); - pos = content.rfind(end_think, pos); - } - } - // Strip if needed - if (content.size() > 0 && std::isspace(static_cast(content[0]))) { - content = string_strip(content); - } - } - - // remove potential partial suffix - if (builder.pos() == builder.input().size() && builder.is_partial()) { - if (unclosed_reasoning_content.empty()) { - rstrip(content); - trim_potential_partial_word(content); - rstrip(content); - } else { - rstrip(unclosed_reasoning_content); - trim_potential_partial_word(unclosed_reasoning_content); - rstrip(unclosed_reasoning_content); - } - } - - // consume unclosed_reasoning_content if allow_toolcall_in_think is set - if (form.allow_toolcall_in_think && !unclosed_reasoning_content.empty()) { - if (builder.syntax().reasoning_format != COMMON_REASONING_FORMAT_NONE && !builder.syntax().reasoning_in_content) { - builder.add_reasoning_content(unclosed_reasoning_content); - } else { - if (content.empty()) { - content = start_think + unclosed_reasoning_content; - } else { - content += "\n\n" + start_think; - content += unclosed_reasoning_content; - } - } - unclosed_reasoning_content.clear(); - } - - // Add content - if (!content.empty()) { - // If there are multiple content blocks - if (builder.syntax().reasoning_format != COMMON_REASONING_FORMAT_NONE && !builder.syntax().reasoning_in_content && builder.result().content.size() != 0) { - builder.add_content("\n\n"); - } - builder.add_content(content); - } - - // This start is in thinking block and toolcall_in_think not set, skip this tool call - if (toolcall_in_think && !form.allow_toolcall_in_think) { - continue; - } - - // There is no tool call and all content is parsed - if (!tc) { - GGML_ASSERT(builder.pos() == builder.input().size()); - GGML_ASSERT(unclosed_reasoning_content.empty()); - if (!form.allow_toolcall_in_think) GGML_ASSERT(!reasoning_unclosed); - break; - } - - builder.move_to(tc->groups[0].begin); - if (builder.try_consume_xml_tool_calls(form)) { - auto end_of_tool = builder.pos(); - builder.consume_spaces(); - if (builder.pos() != builder.input().size()) { - builder.move_to(end_of_tool); - if (!builder.result().content.empty()) { - builder.add_content("\n\n"); - } - } - } else { - static const common_regex next_char_regex("."); - auto c = builder.str(builder.consume_regex(next_char_regex).groups[0]); - rstrip(c); - builder.add_content(c); - } - } -} - -/** - * Parse content uses reasoning and XML-Style tool call - */ -void common_chat_msg_parser::consume_reasoning_with_xml_tool_calls(const struct xml_tool_call_format & form, const std::string & start_think, const std::string & end_think) { - parse_msg_with_xml_tool_calls(*this, form, start_think, end_think); -} diff --git a/common/chat-parser-xml-toolcall.h b/common/chat-parser-xml-toolcall.h deleted file mode 100644 index b309fb6670..0000000000 --- a/common/chat-parser-xml-toolcall.h +++ /dev/null @@ -1,45 +0,0 @@ -#pragma once - -#include "chat.h" - -#include - -#include -#include -#include - - -// Sample config: -// MiniMax-M2 (left): \n\nvalue\n...\n... -// GLM 4.5 (right): function_name\nkey\nvalue\n -struct xml_tool_call_format { - std::string scope_start; // \n // \n // can be empty - std::string tool_start; // - std::string tool_sep; // \">\n // \n // can be empty only for parse_xml_tool_calls - std::string key_start; // - std::string key_val_sep; // \"> // \n - std::string val_end; // \n // \n - std::string tool_end; // \n // \n - std::string scope_end; // // // can be empty - // Set this if there can be dynamic spaces inside key_val_sep. - // e.g. key_val_sep= key_val_sep2= for GLM4.5 - std::optional key_val_sep2 = std::nullopt; - // Set true if argval should only be raw string. e.g. Hello "world" hi - // Set false if argval should only be json string. e.g. "Hello \"world\" hi" - // Defaults to std::nullopt, both will be allowed. - std::optional raw_argval = std::nullopt; - std::optional last_val_end = std::nullopt; - std::optional last_tool_end = std::nullopt; - bool trim_raw_argval = false; - bool allow_toolcall_in_think = false; -}; - -// make a GBNF that accept any strings except those containing any of the forbidden strings. -std::string make_gbnf_excluding(std::vector forbids); - -/** - * Build grammar for xml-style tool call - * form.scope_start and form.scope_end can be empty. - * Requires data.format for model-specific hacks. - */ -void build_grammar_xml_tool_call(common_chat_params & data, const nlohmann::ordered_json & tools, const struct xml_tool_call_format & form); diff --git a/common/chat-parser.cpp b/common/chat-parser.cpp deleted file mode 100644 index 060578f0b7..0000000000 --- a/common/chat-parser.cpp +++ /dev/null @@ -1,1649 +0,0 @@ -#include "chat-parser.h" -#include "chat-peg-parser.h" -#include "common.h" -#include "log.h" -#include "peg-parser.h" -#include "regex-partial.h" - -#include -#include -#include -#include -#include -#include -#include - -using json = nlohmann::ordered_json; - -static void parse_prefixed_json_tool_call_array(common_chat_msg_parser & builder, - const common_regex & prefix, - size_t rstrip_prefix = 0) { - static const std::vector> args_paths = { { "arguments" } }; - if (auto res = builder.try_find_regex(prefix)) { - builder.move_back(rstrip_prefix); - auto tool_calls = builder.consume_json_with_dumped_args(args_paths); - if (!builder.add_tool_calls(tool_calls.value) || tool_calls.is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call array"); - } - } else { - builder.add_content(builder.consume_rest()); - } -} - -static std::string wrap_code_as_arguments(common_chat_msg_parser & builder, const std::string & code) { - std::string arguments; - if (builder.is_partial()) { - arguments = (json{ - { "code", code + builder.healing_marker() } - }) - .dump(); - auto idx = arguments.find(builder.healing_marker()); - if (idx != std::string::npos) { - arguments.resize(idx); - } - } else { - arguments = (json{ - { "code", code } - }) - .dump(); - } - return arguments; -} - -/** - * Takes a prefix regex that must have 1 group to capture the function name, a closing suffix, and expects json parameters in between. - * Aggregates the prefix, suffix and in-between text into the content. - */ -static void parse_json_tool_calls( - common_chat_msg_parser & builder, - const std::optional & block_open, - const std::optional & function_regex_start_only, - const std::optional & function_regex, - const common_regex & close_regex, - const std::optional & block_close, - bool allow_raw_python = false, - const std::function & get_function_name = - nullptr) { - auto parse_tool_calls = [&]() { - size_t from = std::string::npos; - auto first = true; - while (true) { - auto start_pos = builder.pos(); - auto res = function_regex_start_only && first ? builder.try_consume_regex(*function_regex_start_only) : - function_regex ? builder.try_find_regex(*function_regex, from) : - std::nullopt; - - if (res) { - std::string name; - if (get_function_name) { - name = get_function_name(*res); - } else { - GGML_ASSERT(res->groups.size() == 2); - name = builder.str(res->groups[1]); - } - first = false; - if (name.empty()) { - // get_function_name signalled us that we should skip this match and treat it as content. - from = res->groups[0].begin + 1; - continue; - } - from = std::string::npos; - - auto maybe_raw_python = name == "python" && allow_raw_python; - if (builder.input()[builder.pos()] == '{' || !maybe_raw_python) { - if (auto arguments = builder.try_consume_json_with_dumped_args({ {} })) { - if (!builder.add_tool_call(name, "", arguments->value) || arguments->is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - builder.consume_regex(close_regex); - } - continue; - } - if (maybe_raw_python) { - auto arguments = wrap_code_as_arguments(builder, builder.consume_rest()); - if (!builder.add_tool_call(name, "", arguments)) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - return; - } - throw common_chat_msg_partial_exception("incomplete tool call"); - } else { - builder.move_to(start_pos); - } - break; - } - if (block_close) { - builder.consume_regex(*block_close); - } - builder.consume_spaces(); - builder.add_content(builder.consume_rest()); - }; - if (block_open) { - if (auto res = builder.try_find_regex(*block_open)) { - parse_tool_calls(); - } else { - builder.add_content(builder.consume_rest()); - } - } else { - parse_tool_calls(); - } -} - -common_chat_msg_parser::common_chat_msg_parser(const std::string & input, bool is_partial, const common_chat_parser_params & syntax) - : input_(input), is_partial_(is_partial), syntax_(syntax) -{ - result_.role = "assistant"; - - while (true) { - std::string id = std::to_string(std::rand()); - if (input.find(id) == std::string::npos) { - healing_marker_ = id; - break; - } - } -} - -std::string common_chat_msg_parser::str(const common_string_range & rng) const { - GGML_ASSERT(rng.begin <= rng.end); - return input_.substr(rng.begin, rng.end - rng.begin); -} - -void common_chat_msg_parser::add_content(const std::string &content) { - result_.content += content; -} - -void common_chat_msg_parser::add_reasoning_content(const std::string &reasoning_content) { - result_.reasoning_content += reasoning_content; -} - -bool common_chat_msg_parser::add_tool_call(const std::string & name, const std::string & id, const std::string & arguments) { - if (name.empty()) { - return false; - } - - common_chat_tool_call tool_call; - tool_call.name = name; - tool_call.arguments = arguments; - tool_call.id = id; - - // LOG_DBG("Tool call arguments:\n\traw: %s\n\tresult: %s\n", arguments.c_str(), tool_call.arguments.c_str()); - result_.tool_calls.emplace_back(tool_call); - - return true; -} -bool common_chat_msg_parser::add_tool_call(const json & tool_call) { - std::string name = tool_call.contains("name") ? tool_call.at("name") : ""; - std::string id = tool_call.contains("id") ? tool_call.at("id") : ""; - std::string arguments = ""; - if (tool_call.contains("arguments")) { - if (tool_call.at("arguments").is_object()) { - arguments = tool_call.at("arguments").dump(); - } else { - arguments = tool_call.at("arguments"); - } - } - - return add_tool_call(name, id, arguments); -} - -bool common_chat_msg_parser::add_tool_calls(const json & arr) { - for (const auto & item : arr) { - if (!add_tool_call(item)) { - return false; - } - } - return true; -} - -bool common_chat_msg_parser::add_tool_call_short_form(const json & tool_call) { - if (!tool_call.is_object() || tool_call.size() != 1) { - return false; - } - - // Get the tool name (the single key in the object) - auto it = tool_call.begin(); - std::string name = it.key(); - - if (name.empty()) { - return false; - } - - // Get the arguments (the nested object) - const json & args_json = it.value(); - std::string arguments = ""; - - if (args_json.is_object()) { - arguments = args_json.dump(); - } else if (args_json.is_string()) { - arguments = args_json; - } else if (!args_json.is_null()) { - // For other types, convert to string representation - arguments = args_json.dump(); - } - - return add_tool_call(name, "", arguments); -} -void common_chat_msg_parser::finish() { - if (!is_partial_ && pos_ != input_.size()) { - throw std::runtime_error("Unexpected content at end of input");// + input_.substr(pos_)); - } -} - -bool common_chat_msg_parser::consume_spaces() { - const auto length = input_.size(); - auto consumed = false; - while (pos_ < length && std::isspace(input_[pos_])) { - ++pos_; - consumed = true; - } - return consumed; -} - -bool common_chat_msg_parser::try_consume_literal(const std::string & literal) { - auto pos = pos_; - for (auto i = 0u; i < literal.size(); ++i) { - if (pos >= input_.size()) { - return false; - } - if (input_[pos] != literal[i]) { - return false; - } - ++pos; - } - pos_ = pos; - return true; -} - -std::optional common_chat_msg_parser::try_find_literal(const std::string & literal) { - auto idx = input_.find(literal, pos_); - if (idx != std::string::npos) { - find_regex_result res; - res.prelude = input_.substr(pos_, idx - pos_); - auto end = idx + literal.size(); - res.groups.emplace_back(common_string_range{idx, end}); - move_to(end); - return res; - } - if (is_partial_) { - idx = string_find_partial_stop(input_, literal); - if (idx != std::string::npos && idx >= pos_) { - find_regex_result res; - res.prelude = input_.substr(pos_, idx - pos_); - auto end = input_.size(); - res.groups.emplace_back(common_string_range{idx, end}); - move_to(end); - return res; - } - } - return std::nullopt; -} - -void common_chat_msg_parser::consume_literal(const std::string & literal) { - if (!try_consume_literal(literal)) { - throw common_chat_msg_partial_exception(literal); - } -} - -bool common_chat_msg_parser::try_parse_reasoning(const std::string & start_think, const std::string & end_think) { - std::string pending_reasoning_prefix; - - if (syntax_.reasoning_format == COMMON_REASONING_FORMAT_NONE) { - return false; - } - - auto set_reasoning_prefix = [&](size_t prefix_pos) { - if (!syntax_.thinking_forced_open || syntax_.reasoning_in_content) { - return; - } - if (prefix_pos + start_think.size() > input_.size()) { - pending_reasoning_prefix.clear(); - return; - } - // Capture the exact literal that opened the reasoning section so we can - // surface it back to callers. This ensures formats that force the - // reasoning tag open (e.g. DeepSeek R1) retain their original prefix - // instead of dropping it during parsing. - pending_reasoning_prefix = input_.substr(prefix_pos, start_think.size()); - }; - - auto handle_reasoning = [&](const std::string & reasoning, bool closed) { - auto stripped_reasoning = string_strip(reasoning); - if (stripped_reasoning.empty()) { - return; - } - if (syntax_.reasoning_in_content) { - add_content(syntax_.reasoning_format == COMMON_REASONING_FORMAT_DEEPSEEK ? "" : start_think); - add_content(stripped_reasoning); - if (closed) { - add_content(syntax_.reasoning_format == COMMON_REASONING_FORMAT_DEEPSEEK ? "" : end_think); - } - } else { - if (!pending_reasoning_prefix.empty()) { - add_reasoning_content(pending_reasoning_prefix); - pending_reasoning_prefix.clear(); - } - add_reasoning_content(stripped_reasoning); - } - }; - - const size_t saved_pos = pos_; - const size_t saved_content_size = result_.content.size(); - const size_t saved_reasoning_size = result_.reasoning_content.size(); - - auto restore_state = [&]() { - move_to(saved_pos); - result_.content.resize(saved_content_size); - result_.reasoning_content.resize(saved_reasoning_size); - }; - - // Allow leading whitespace to be preserved as content when reasoning is present at the start - size_t cursor = pos_; - size_t whitespace_end = cursor; - while (whitespace_end < input_.size() && std::isspace(static_cast(input_[whitespace_end]))) { - ++whitespace_end; - } - - if (whitespace_end >= input_.size()) { - restore_state(); - if (syntax_.thinking_forced_open) { - auto rest = input_.substr(saved_pos); - if (!rest.empty()) { - handle_reasoning(rest, /* closed */ !is_partial()); - } - move_to(input_.size()); - return true; - } - return false; - } - - cursor = whitespace_end; - const size_t remaining = input_.size() - cursor; - const size_t start_prefix = std::min(start_think.size(), remaining); - const bool has_start_tag = input_.compare(cursor, start_prefix, start_think, 0, start_prefix) == 0; - - if (has_start_tag && start_prefix < start_think.size()) { - move_to(input_.size()); - return true; - } - - if (has_start_tag) { - if (whitespace_end > pos_) { - add_content(input_.substr(pos_, whitespace_end - pos_)); - } - set_reasoning_prefix(cursor); - cursor += start_think.size(); - } else if (syntax_.thinking_forced_open) { - cursor = whitespace_end; - } else { - restore_state(); - return false; - } - while (true) { - if (cursor >= input_.size()) { - move_to(input_.size()); - return true; - } - - size_t end_pos = input_.find(end_think, cursor); - if (end_pos == std::string::npos) { - std::string_view remaining_view(input_.data() + cursor, input_.size() - cursor); - size_t partial_off = string_find_partial_stop(remaining_view, end_think); - size_t reasoning_end = partial_off == std::string::npos ? input_.size() : cursor + partial_off; - if (reasoning_end > cursor) { - handle_reasoning(input_.substr(cursor, reasoning_end - cursor), /* closed */ partial_off == std::string::npos && !is_partial()); - } - move_to(input_.size()); - return true; - } - - if (end_pos > cursor) { - handle_reasoning(input_.substr(cursor, end_pos - cursor), /* closed */ true); - } else { - handle_reasoning("", /* closed */ true); - } - - cursor = end_pos + end_think.size(); - - while (cursor < input_.size() && std::isspace(static_cast(input_[cursor]))) { - ++cursor; - } - - const size_t next_remaining = input_.size() - cursor; - if (next_remaining == 0) { - move_to(cursor); - return true; - } - - const size_t next_prefix = std::min(start_think.size(), next_remaining); - if (input_.compare(cursor, next_prefix, start_think, 0, next_prefix) == 0) { - if (next_prefix < start_think.size()) { - move_to(input_.size()); - return true; - } - set_reasoning_prefix(cursor); - cursor += start_think.size(); - continue; - } - - move_to(cursor); - return true; - } -} - -std::string common_chat_msg_parser::consume_rest() { - auto rest = input_.substr(pos_); - pos_ = input_.size(); - return rest; -} - -// Tries to find the regex, consumes it (pos right after it) and gives the prelude (right before it) and the groups to the callback. -std::optional common_chat_msg_parser::try_find_regex(const common_regex & regex, size_t from, bool add_prelude_to_content) { - auto m = regex.search(input_, from == std::string::npos ? pos_ : from); - if (m.type == COMMON_REGEX_MATCH_TYPE_NONE) { - return std::nullopt; - } - auto prelude = input_.substr(pos_, m.groups[0].begin - pos_); - pos_ = m.groups[0].end; - - if (add_prelude_to_content) { - add_content(prelude); - } - if (m.type == COMMON_REGEX_MATCH_TYPE_PARTIAL) { - if (is_partial()) { - throw common_chat_msg_partial_exception(regex.str()); - } - return std::nullopt; - } - return find_regex_result{prelude, m.groups}; -} - -common_chat_msg_parser::find_regex_result common_chat_msg_parser::consume_regex(const common_regex & regex) { - if (auto result = try_consume_regex(regex)) { - return *result; - } - throw common_chat_msg_partial_exception(regex.str()); -} - -std::optional common_chat_msg_parser::try_consume_regex(const common_regex & regex) { - auto m = regex.search(input_, pos_); - if (m.type == COMMON_REGEX_MATCH_TYPE_NONE) { - return std::nullopt; - } - if (m.type == COMMON_REGEX_MATCH_TYPE_PARTIAL) { - if (is_partial()) { - throw common_chat_msg_partial_exception(regex.str()); - } - return std::nullopt; - } - if (m.groups[0].begin != pos_) { - // Didn't match at the current position. - return std::nullopt; - } - pos_ = m.groups[0].end; - - return find_regex_result { - /* .prelude = */ "", - m.groups, - }; -} - -std::optional common_chat_msg_parser::try_consume_json() { - auto it = input_.cbegin() + pos_; - const auto end = input_.cend(); - common_json result; - if (!common_json_parse(it, end, healing_marker_, result)) { - return std::nullopt; - } - pos_ = std::distance(input_.cbegin(), it); - if (result.healing_marker.marker.empty()) { - // No healing marker, just return the parsed json - return result; - } - if (!is_partial()) { - throw common_chat_msg_partial_exception("JSON"); - } - return result; -} - -common_json common_chat_msg_parser::consume_json() { - if (auto result = try_consume_json()) { - return *result; - } - throw common_chat_msg_partial_exception("JSON"); -} - -common_chat_msg_parser::consume_json_result common_chat_msg_parser::consume_json_with_dumped_args( - const std::vector> & args_paths, - const std::vector> & content_paths -) { - if (auto result = try_consume_json_with_dumped_args(args_paths, content_paths)) { - return *result; - } - throw common_chat_msg_partial_exception("JSON"); -} - -std::optional common_chat_msg_parser::try_consume_json_with_dumped_args( - const std::vector> & args_paths, - const std::vector> & content_paths -) { - auto partial = try_consume_json(); - if (!partial) { - return std::nullopt; - } - auto is_arguments_path = [&](const std::vector & path) { - return std::find(args_paths.begin(), args_paths.end(), path) != args_paths.end(); - }; - auto is_content_path = [&](const std::vector & path) { - return std::find(content_paths.begin(), content_paths.end(), path) != content_paths.end(); - }; - - if (partial->healing_marker.marker.empty()) { - if (args_paths.empty()) { - // No arguments to dump, and JSON was parsed fully. - return consume_json_result { - partial->json, - /* .is_partial = */ false, - }; - } - if (is_arguments_path({})) { - // Entire JSON is the arguments and was parsed fully. - return consume_json_result { - partial->json.dump(/* indent */ -1, /* indent_char */ ' ', /* ensure_ascii */ true), - /* .is_partial = */ false, - }; - } - } - - LOG_DBG("Parsed partial JSON: %s (json_healing_marker: %s)\n", partial->json.dump().c_str(), partial->healing_marker.json_dump_marker.c_str()); - - auto found_healing_marker = false; - std::vector path; - std::function remove_unsupported_healings_and_dump_args = [&](const json & j) -> json { - if (is_arguments_path(path)) { - auto arguments = j.dump(/* indent */ -1, /* indent_char */ ' ', /* ensure_ascii */ true); - if (is_partial() && !partial->healing_marker.marker.empty()) { - auto idx = arguments.find(partial->healing_marker.json_dump_marker); - if (idx != std::string::npos) { - arguments.resize(idx); - found_healing_marker = true; - } - if (arguments == "\"") { - // This happens because of completing `:"$magic` after `"arguments"` - arguments = ""; - } - } - return arguments; - } - if (is_content_path(path)) { - if (!j.is_string()) { - throw std::runtime_error("Content path must be a string"); - } - std::string str = j; - auto idx = str.find(partial->healing_marker.marker); // not using json_dump_marker as we're inside a string - if (idx != std::string::npos) { - str.resize(idx); - found_healing_marker = true; - } - return str; - } - if (j.is_object()) { - auto obj = json::object(); - for (const auto & p : j.items()) { - const auto & key = p.key(); - const auto & value = p.value(); - const std::string key_str = key; // NOLINT - auto idx = key_str.find(healing_marker_); - if (idx != std::string::npos) { - found_healing_marker = true; - break; - } - path.push_back(key_str); - if (value.is_string()) { - const std::string value_str = value; - if (value_str.find(healing_marker_) != std::string::npos) { - found_healing_marker = true; - if (is_content_path(path)) { - if (partial->healing_marker.marker == partial->healing_marker.json_dump_marker) { - // The healing occurred inside the string: good. Otherwise we just ditch the entire key/value pair. - obj[key] = remove_unsupported_healings_and_dump_args(value); - } - } - break; - } - obj[key] = value; - } else { - obj[key] = remove_unsupported_healings_and_dump_args(value); - } - path.pop_back(); - } - return obj; - } - if (j.is_array()) { - auto arr = json::array(); - for (const auto & value : j) { - if (value.is_string()) { - std::string str = value; - auto idx = str.find(healing_marker_); - if (idx != std::string::npos) { - // Don't heal array values that aren't in the arguments. - found_healing_marker = true; - break; - } - } - arr.push_back(remove_unsupported_healings_and_dump_args(value)); - } - return arr; - } - return j; - }; - - auto cleaned = remove_unsupported_healings_and_dump_args(partial->json); - LOG_DBG("Cleaned up JSON %s to %s (json_healing_marker : '%s')\n", partial->json.dump().c_str(), cleaned.dump().c_str(), partial->healing_marker.json_dump_marker.c_str()); - return consume_json_result { - cleaned, - /* .is_partial = */ found_healing_marker, - }; -} - -void common_chat_msg_parser::clear_tools() { - result_.tool_calls.clear(); -} - -/** - * All common_chat_parse_* moved from chat.cpp to chat-parser.cpp below - * to reduce incremental compile time for parser changes. - */ -static void common_chat_parse_generic(common_chat_msg_parser & builder) { - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - static const std::vector> content_paths = { - {"response"}, - }; - static const std::vector> args_paths = { - {"tool_call", "arguments"}, - {"tool_calls", "arguments"}, - }; - auto data = builder.consume_json_with_dumped_args(args_paths, content_paths); - if (data.value.contains("tool_calls")) { - if (!builder.add_tool_calls(data.value.at("tool_calls")) || data.is_partial) { - throw common_chat_msg_partial_exception("incomplete tool calls"); - } - } else if (data.value.contains("tool_call")) { - if (!builder.add_tool_call(data.value.at("tool_call")) || data.is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - } else if (data.value.contains("response")) { - const auto & response = data.value.at("response"); - builder.add_content(response.is_string() ? response.template get() : response.dump(2)); - if (data.is_partial) { - throw common_chat_msg_partial_exception("incomplete response"); - } - } else { - throw common_chat_msg_partial_exception("Expected 'tool_call', 'tool_calls' or 'response' in JSON"); - } -} - -static void common_chat_parse_mistral_nemo(common_chat_msg_parser & builder) { - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - - static const common_regex prefix(regex_escape("[TOOL_CALLS]")); - parse_prefixed_json_tool_call_array(builder, prefix); -} - -static void common_chat_parse_magistral(common_chat_msg_parser & builder) { - builder.try_parse_reasoning("[THINK]", "[/THINK]"); - - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - - static const common_regex prefix(regex_escape("[TOOL_CALLS]")); - parse_prefixed_json_tool_call_array(builder, prefix); -} - -static void common_chat_parse_command_r7b(common_chat_msg_parser & builder) { - builder.try_parse_reasoning("<|START_THINKING|>", "<|END_THINKING|>"); - - static const common_regex start_action_regex("<\\|START_ACTION\\|>"); - static const common_regex end_action_regex("<\\|END_ACTION\\|>"); - static const common_regex start_response_regex("<\\|START_RESPONSE\\|>"); - static const common_regex end_response_regex("<\\|END_RESPONSE\\|>"); - - if (auto res = builder.try_find_regex(start_action_regex)) { - // If we didn't extract thoughts, prelude includes them. - auto tool_calls = builder.consume_json_with_dumped_args({{"parameters"}}); - for (const auto & tool_call : tool_calls.value) { - std::string name = tool_call.contains("tool_name") ? tool_call.at("tool_name") : ""; - std::string id = tool_call.contains("tool_call_id") ? tool_call.at("tool_call_id") : ""; - std::string arguments = tool_call.contains("parameters") ? tool_call.at("parameters") : ""; - if (!builder.add_tool_call(name, id, arguments) || tool_calls.is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - } - if (tool_calls.is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - builder.consume_regex(end_action_regex); - } else if (auto res = builder.try_find_regex(start_response_regex)) { - if (!builder.try_find_regex(end_response_regex)) { - builder.add_content(builder.consume_rest()); - throw common_chat_msg_partial_exception(end_response_regex.str()); - } - } else { - builder.add_content(builder.consume_rest()); - } -} - -static void common_chat_parse_llama_3_1(common_chat_msg_parser & builder, bool with_builtin_tools = false) { - builder.try_parse_reasoning("", ""); - - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - - static const common_regex function_regex( - "\\s*\\{\\s*(?:\"type\"\\s*:\\s*\"function\"\\s*,\\s*)?\"name\"\\s*:\\s*\"([^\"]+)\"\\s*,\\s*\"parameters\"\\s*: "); - static const common_regex close_regex("\\}\\s*"); - - static const common_regex function_name_regex("\\s*(\\w+)\\s*\\.\\s*call\\("); - static const common_regex arg_name_regex("\\s*(\\w+)\\s*=\\s*"); - - if (with_builtin_tools) { - static const common_regex builtin_call_regex("<\\|python_tag\\|>"); - if (auto res = builder.try_find_regex(builtin_call_regex)) { - auto fun_res = builder.consume_regex(function_name_regex); - auto function_name = builder.str(fun_res.groups[1]); - - common_healing_marker healing_marker; - json args = json::object(); - while (true) { - if (auto arg_res = builder.try_consume_regex(arg_name_regex)) { - auto arg_name = builder.str(arg_res->groups[1]); - auto partial = builder.consume_json(); - args[arg_name] = partial.json; - healing_marker.marker = partial.healing_marker.marker; - healing_marker.json_dump_marker = partial.healing_marker.json_dump_marker; - builder.consume_spaces(); - if (!builder.try_consume_literal(",")) { - break; - } - } else { - break; - } - } - builder.consume_literal(")"); - builder.consume_spaces(); - - auto arguments = args.dump(); - if (!builder.add_tool_call(function_name, "", arguments)) { - throw common_chat_msg_partial_exception("Incomplete tool call"); - } - return; - } - } - parse_json_tool_calls( - builder, - /* block_open= */ std::nullopt, - /* function_regex_start_only= */ function_regex, - /* function_regex= */ std::nullopt, - close_regex, - std::nullopt); - -} - -static void common_chat_parse_deepseek_r1(common_chat_msg_parser & builder) { - builder.try_parse_reasoning("", ""); - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - - static const common_regex tool_calls_begin("(?:<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)"); - static const common_regex tool_calls_end("<｜tool▁calls▁end｜>"); - static const common_regex function_regex("(?:<｜tool▁call▁begin｜>)?function<｜tool▁sep｜>([^\n]+)\n```json\n"); - static const common_regex close_regex("```[\\s\\r\\n]*<｜tool▁call▁end｜>"); - - parse_json_tool_calls( - builder, - /* block_open= */ tool_calls_begin, - /* function_regex_start_only= */ std::nullopt, - function_regex, - close_regex, - tool_calls_end); -} - -static void common_chat_parse_deepseek_v3_1_content(common_chat_msg_parser & builder) { - static const common_regex function_regex("(?:<｜tool▁call▁begin｜>)?([^\\n<]+)(?:<｜tool▁sep｜>)"); - - static const common_regex close_regex("(?:[\\s]*)?<｜tool▁call▁end｜>"); - static const common_regex tool_calls_begin("(?:<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)"); - static const common_regex tool_calls_end("<｜tool▁calls▁end｜>"); - - if (!builder.syntax().parse_tool_calls) { - LOG_DBG("%s: not parse_tool_calls\n", __func__); - builder.add_content(builder.consume_rest()); - return; - } - - LOG_DBG("%s: parse_tool_calls\n", __func__); - - parse_json_tool_calls( - builder, - /* block_open= */ tool_calls_begin, - /* function_regex_start_only= */ std::nullopt, - function_regex, - close_regex, - tool_calls_end); -} - -static void common_chat_parse_deepseek_v3_1(common_chat_msg_parser & builder) { - // DeepSeek V3.1 outputs reasoning content between "" and "" tags, followed by regular content - // First try to parse using the standard reasoning parsing method - LOG_DBG("%s: thinking_forced_open: %s\n", __func__, std::to_string(builder.syntax().thinking_forced_open).c_str()); - - auto start_pos = builder.pos(); - auto found_end_think = builder.try_find_literal(""); - builder.move_to(start_pos); - - if (builder.syntax().thinking_forced_open && !builder.is_partial() && !found_end_think) { - LOG_DBG("%s: no end_think, not partial, adding content\n", __func__); - common_chat_parse_deepseek_v3_1_content(builder); - } else if (builder.try_parse_reasoning("", "")) { - // If reasoning was parsed successfully, the remaining content is regular content - LOG_DBG("%s: parsed reasoning, adding content\n", __func__); - // <｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>NAME\n```json\nJSON\n```<｜tool▁call▁end｜><｜tool▁calls▁end｜> - common_chat_parse_deepseek_v3_1_content(builder); - } else { - if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE) { - LOG_DBG("%s: reasoning_format none, adding content\n", __func__); - common_chat_parse_deepseek_v3_1_content(builder); - return; - } - // If no reasoning tags found, check if we should treat everything as reasoning - if (builder.syntax().thinking_forced_open) { - // If thinking is forced open but no tags found, treat everything as reasoning - LOG_DBG("%s: thinking_forced_open, adding reasoning content\n", __func__); - builder.add_reasoning_content(builder.consume_rest()); - } else { - LOG_DBG("%s: no thinking_forced_open, adding content\n", __func__); - // <｜tool▁call▁begin｜>NAME<｜tool▁sep｜>JSON<｜tool▁call▁end｜> - common_chat_parse_deepseek_v3_1_content(builder); - } - } -} - -static void common_chat_parse_minimax_m2(common_chat_msg_parser & builder) { - static const xml_tool_call_format form { - /* form.scope_start = */ "", - /* form.tool_start = */ "", - /* form.key_start = */ "", - /* form.val_end = */ "", - /* form.tool_end = */ "", - /* form.scope_end = */ "", - }; - builder.consume_reasoning_with_xml_tool_calls(form, "", ""); -} - -static void common_chat_parse_kimi_k2(common_chat_msg_parser & builder) { - static const xml_tool_call_format form = ([]() { - xml_tool_call_format form {}; - form.scope_start = "<|tool_calls_section_begin|>"; - form.tool_start = "<|tool_call_begin|>"; - form.tool_sep = "<|tool_call_argument_begin|>{"; - form.key_start = "\""; - form.key_val_sep = "\":"; - form.val_end = ","; - form.tool_end = "}<|tool_call_end|>"; - form.scope_end = "<|tool_calls_section_end|>"; - form.raw_argval = false; - form.last_val_end = ""; - form.allow_toolcall_in_think = true; - return form; - })(); - builder.consume_reasoning_with_xml_tool_calls(form, "", ""); -} - -static void common_chat_parse_apriel_1_5(common_chat_msg_parser & builder) { - static const xml_tool_call_format form = ([]() { - xml_tool_call_format form {}; - form.scope_start = "["; - form.tool_start = "{\"name\": \""; - form.tool_sep = "\", \"arguments\": {"; - form.key_start = "\""; - form.key_val_sep = "\": "; - form.val_end = ", "; - form.tool_end = "}, "; - form.scope_end = "]"; - form.raw_argval = false; - form.last_val_end = ""; - form.last_tool_end = "}"; - return form; - })(); - builder.consume_reasoning_with_xml_tool_calls(form, "", ""); -} - -static void common_chat_parse_xiaomi_mimo(common_chat_msg_parser & builder) { - static const xml_tool_call_format form = ([]() { - xml_tool_call_format form {}; - form.scope_start = ""; - form.tool_start = "\n{\"name\": \""; - form.tool_sep = "\", \"arguments\": {"; - form.key_start = "\""; - form.key_val_sep = "\": "; - form.val_end = ", "; - form.tool_end = "}\n"; - form.scope_end = ""; - form.raw_argval = false; - form.last_val_end = ""; - return form; - })(); - builder.consume_reasoning_with_xml_tool_calls(form); -} - -static void common_chat_parse_gpt_oss(common_chat_msg_parser & builder) { - static const std::string constraint = "(?: (<\\|constrain\\|>)?([a-zA-Z0-9_-]+))"; - static const std::string recipient("(?: to=functions\\.([^<\\s]+))"); - - static const common_regex start_regex("<\\|start\\|>assistant"); - static const common_regex analysis_regex("<\\|channel\\|>analysis"); - static const common_regex final_regex("<\\|channel\\|>final" + constraint + "?"); - static const common_regex preamble_regex("<\\|channel\\|>commentary"); - static const common_regex tool_call1_regex(recipient + "<\\|channel\\|>(analysis|commentary)" + constraint + "?"); - static const common_regex tool_call2_regex("<\\|channel\\|>(analysis|commentary)" + recipient + constraint + "?"); - - auto consume_end = [&](bool include_end = false) { - if (auto res = builder.try_find_literal("<|end|>")) { - return res->prelude + (include_end ? builder.str(res->groups[0]) : ""); - } - return builder.consume_rest(); - }; - - auto handle_tool_call = [&](const std::string & name) { - if (auto args = builder.try_consume_json_with_dumped_args({{}})) { - if (builder.syntax().parse_tool_calls) { - if (!builder.add_tool_call(name, "", args->value) || args->is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - } else if (args->is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - } - }; - - auto regex_match = [](const common_regex & regex, const std::string & input) -> std::optional { - auto match = regex.search(input, 0, true); - if (match.type == COMMON_REGEX_MATCH_TYPE_FULL) { - return match; - } - return std::nullopt; - }; - - do { - auto header_start_pos = builder.pos(); - auto content_start = builder.try_find_literal("<|message|>"); - if (!content_start) { - throw common_chat_msg_partial_exception("incomplete header"); - } - - auto header = content_start->prelude; - - if (auto match = regex_match(tool_call1_regex, header)) { - auto group = match->groups[1]; - auto name = header.substr(group.begin, group.end - group.begin); - handle_tool_call(name); - continue; - } - - if (auto match = regex_match(tool_call2_regex, header)) { - auto group = match->groups[2]; - auto name = header.substr(group.begin, group.end - group.begin); - handle_tool_call(name); - continue; - } - - if (regex_match(analysis_regex, header)) { - builder.move_to(header_start_pos); - if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE || builder.syntax().reasoning_in_content) { - builder.add_content(consume_end(true)); - } else { - builder.try_parse_reasoning("<|channel|>analysis<|message|>", "<|end|>"); - } - continue; - } - - if(regex_match(final_regex, header) || regex_match(preamble_regex, header)) { - builder.add_content(consume_end()); - continue; - } - - // Possibly a malformed message, attempt to recover by rolling - // back to pick up the next <|start|> - LOG_DBG("%s: unknown header from message: %s\n", __func__, header.c_str()); - builder.move_to(header_start_pos); - } while (builder.try_find_regex(start_regex, std::string::npos, false)); - - auto remaining = builder.consume_rest(); - if (!remaining.empty()) { - LOG_DBG("%s: content after last message: %s\n", __func__, remaining.c_str()); - } -} - -static void common_chat_parse_glm_4_5(common_chat_msg_parser & builder) { - static const xml_tool_call_format form { - /* form.scope_start = */ "", - /* form.tool_start = */ "", - /* form.tool_sep = */ "", - /* form.key_start = */ "", - /* form.key_val_sep = */ "", - /* form.val_end = */ "", - /* form.tool_end = */ "", - /* form.scope_end = */ "", - /* form.key_val_sep2 = */ "", - }; - builder.consume_reasoning_with_xml_tool_calls(form, "", ""); -} - -static void common_chat_parse_firefunction_v2(common_chat_msg_parser & builder) { - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - static const common_regex prefix(regex_escape(" functools[")); - parse_prefixed_json_tool_call_array(builder, prefix, /* rstrip_prefix= */ 1); -} - -static void common_chat_parse_functionary_v3_2(common_chat_msg_parser & builder) { - static const common_regex function_regex_start_only(R"((\w+\n\{|python\n|all\n))"); - static const common_regex function_regex(R"(>>>(\w+\n\{|python\n|all\n))"); - static const common_regex close_regex(R"(\s*)"); - - parse_json_tool_calls( - builder, - std::nullopt, - function_regex_start_only, - function_regex, - close_regex, - std::nullopt, - /* allow_raw_python= */ true, - /* get_function_name= */ [&](const auto & res) -> std::string { - auto at_start = res.groups[0].begin == 0; - auto name = builder.str(res.groups[1]); - if (!name.empty() && name.back() == '{') { - // Unconsume the opening brace '{' to ensure the JSON parsing goes well. - builder.move_back(1); - } - auto idx = name.find_last_not_of("\n{"); - name = name.substr(0, idx + 1); - if (at_start && name == "all") { - return ""; - } - return name; - }); -} - -static void common_chat_parse_functionary_v3_1_llama_3_1(common_chat_msg_parser & builder) { - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - // This version of Functionary still supports the llama 3.1 tool call format for the python tool. - static const common_regex python_tag_regex(regex_escape("<|python_tag|>")); - - static const common_regex function_regex(R"()"); - static const common_regex close_regex(R"()"); - - parse_json_tool_calls( - builder, - /* block_open= */ std::nullopt, - /* function_regex_start_only= */ std::nullopt, - function_regex, - close_regex, - std::nullopt); - - if (auto res = builder.try_find_regex(python_tag_regex)) { - auto arguments = wrap_code_as_arguments(builder, builder.consume_rest()); - builder.add_tool_call("python", "", arguments); - return; - } -} - -static void common_chat_parse_hermes_2_pro(common_chat_msg_parser & builder) { - builder.try_parse_reasoning("", ""); - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - - static const common_regex open_regex( - "(?:" - "(```(?:xml|json)?\\n\\s*)?" // match 1 (block_start) - "(" // match 2 (open_tag) - "" - "|" - "|" - "|" - "|" - "|" - "|" - "|" - ")?" - "(\\s*\\{\\s*\"name\")" // match 3 (named tool call) - ")" - "|]+)>" // match 4 (function name) - "|" // match 5 (function name again) - ); - - while (auto res = builder.try_find_regex(open_regex)) { - const auto & block_start = res->groups[1]; - std::string block_end = block_start.empty() ? "" : "```"; - - const auto & open_tag = res->groups[2]; - std::string close_tag; - - if (!res->groups[3].empty()) { - builder.move_to(res->groups[3].begin); - close_tag = open_tag.empty() ? "" : "value) || tool_call->is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - builder.consume_spaces(); - builder.consume_literal(close_tag); - builder.consume_spaces(); - if (!block_end.empty()) { - builder.consume_literal(block_end); - builder.consume_spaces(); - } - } else { - throw common_chat_msg_partial_exception("failed to parse tool call"); - } - } else { - auto function_name = builder.str(res->groups[4]); - if (function_name.empty()) { - function_name = builder.str(res->groups[5]); - } - GGML_ASSERT(!function_name.empty()); - - close_tag = ""; - - if (auto arguments = builder.try_consume_json_with_dumped_args({{}})) { - if (!builder.add_tool_call(function_name, "", arguments->value) || arguments->is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - builder.consume_spaces(); - builder.consume_literal(close_tag); - builder.consume_spaces(); - if (!block_end.empty()) { - builder.consume_literal(block_end); - builder.consume_spaces(); - } - } - } - } - - builder.add_content(builder.consume_rest()); -} - -static void common_chat_parse_granite(common_chat_msg_parser & builder) { - // Parse thinking tags - static const common_regex start_think_regex(regex_escape("")); - static const common_regex end_think_regex(regex_escape("")); - // Granite models output partial tokens such as "<" and "groups[0].begin); - builder.try_find_regex(end_think_regex, std::string::npos, false); - // Restore position for try_parse_reasoning() - builder.move_to(res->groups[0].begin); - } - builder.try_parse_reasoning("", ""); - - // Parse response tags - static const common_regex start_response_regex(regex_escape("")); - static const common_regex end_response_regex(regex_escape("")); - // Granite models output partial tokens such as "<" and "")); - if (auto res = builder.try_find_regex(tool_call_regex)) { - builder.move_to(res->groups[0].end); - - // Expect JSON array of tool calls - if (auto tool_call = builder.try_consume_json_with_dumped_args({{{"arguments"}}})) { - if (!builder.add_tool_calls(tool_call->value) || tool_call->is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - } - } else { - builder.add_content(builder.consume_rest()); - } -} - -static void common_chat_parse_nemotron_v2(common_chat_msg_parser & builder) { - // Parse thinking tags - builder.try_parse_reasoning("", ""); - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - - // Look for tool calls - static const common_regex tool_call_regex(regex_escape("")); - if (auto res = builder.try_find_regex(tool_call_regex)) { - builder.move_to(res->groups[0].end); - - // Expect JSON array of tool calls - auto tool_calls_data = builder.consume_json(); - if (tool_calls_data.json.is_array()) { - if (!builder.try_consume_literal("")) { - throw common_chat_msg_partial_exception("Incomplete tool call"); - } - builder.add_tool_calls(tool_calls_data.json); - } else { - throw common_chat_msg_partial_exception("Incomplete tool call"); - } - } - builder.add_content(builder.consume_rest()); -} - -static void common_chat_parse_apertus(common_chat_msg_parser & builder) { - // Parse thinking tags - builder.try_parse_reasoning("<|inner_prefix|>", "<|inner_suffix|>"); - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - - // Look for tool calls - static const common_regex tool_call_regex(regex_escape("<|tools_prefix|>")); - if (auto res = builder.try_find_regex(tool_call_regex)) { - builder.move_to(res->groups[0].end); - - auto tool_calls_data = builder.consume_json(); - if (tool_calls_data.json.is_array()) { - builder.consume_spaces(); - if (!builder.try_consume_literal("<|tools_suffix|>")) { - throw common_chat_msg_partial_exception("Incomplete tool call"); - } - for (const auto & value : tool_calls_data.json) { - if (value.is_object()) { - builder.add_tool_call_short_form(value); - } - } - } else { - throw common_chat_msg_partial_exception("Incomplete tool call"); - } - } - builder.add_content(builder.consume_rest()); -} - - -static void common_chat_parse_lfm2(common_chat_msg_parser & builder) { - if (!builder.syntax().parse_tool_calls) { - builder.add_content(builder.consume_rest()); - return; - } - - // LFM2 format: <|tool_call_start|>[{"name": "get_current_time", "arguments": {"location": "Paris"}}]<|tool_call_end|> - static const common_regex tool_call_start_regex(regex_escape("<|tool_call_start|>")); - static const common_regex tool_call_end_regex(regex_escape("<|tool_call_end|>")); - - // Loop through all tool calls - while (auto res = builder.try_find_regex(tool_call_start_regex, std::string::npos, /* add_prelude_to_content= */ true)) { - builder.move_to(res->groups[0].end); - - // Parse JSON array format: [{"name": "...", "arguments": {...}}] - auto tool_calls_data = builder.consume_json(); - - // Consume end marker - builder.consume_spaces(); - if (!builder.try_consume_regex(tool_call_end_regex)) { - throw common_chat_msg_partial_exception("Expected <|tool_call_end|>"); - } - - // Process each tool call in the array - if (tool_calls_data.json.is_array()) { - for (const auto & tool_call : tool_calls_data.json) { - if (!tool_call.is_object()) { - throw common_chat_msg_partial_exception("Tool call must be an object"); - } - - if (!tool_call.contains("name")) { - throw common_chat_msg_partial_exception("Tool call missing 'name' field"); - } - - std::string function_name = tool_call.at("name"); - std::string arguments = "{}"; - - if (tool_call.contains("arguments")) { - if (tool_call.at("arguments").is_object()) { - arguments = tool_call.at("arguments").dump(); - } else if (tool_call.at("arguments").is_string()) { - arguments = tool_call.at("arguments"); - } - } - - if (!builder.add_tool_call(function_name, "", arguments)) { - throw common_chat_msg_partial_exception("Incomplete tool call"); - } - } - } else { - throw common_chat_msg_partial_exception("Expected JSON array for tool calls"); - } - - // Consume any trailing whitespace after this tool call - builder.consume_spaces(); - } - - // Consume any remaining content after all tool calls - auto remaining = builder.consume_rest(); - if (!string_strip(remaining).empty()) { - builder.add_content(remaining); - } -} - -static void common_chat_parse_seed_oss(common_chat_msg_parser & builder) { - static const xml_tool_call_format form { - /* form.scope_start = */ "", - /* form.tool_start = */ "", - /* form.key_start = */ "", - /* form.val_end = */ "", - /* form.tool_end = */ "", - /* form.scope_end = */ "", - }; - builder.consume_reasoning_with_xml_tool_calls(form, "", ""); -} - -static void common_chat_parse_solar_open(common_chat_msg_parser & builder) { - builder.try_parse_reasoning("<|think|>", "<|end|><|begin|>assistant<|content|>"); - - // TODO: Tool calling - - builder.add_content(builder.consume_rest()); -} - -static void common_chat_parse_exaone_moe_content(common_chat_msg_parser & builder) { - // 1) { "name": "...", "arguments": {...} } - // 2) { "id": "...", "type": "function", "function": { "name": "...", "arguments": {...} } } - static const common_regex tool_call_open(R"(]*>)"); - - if (!builder.syntax().parse_tool_calls) { - LOG_DBG("%s: not parse_tool_calls\n", __func__); - builder.add_content(builder.consume_rest()); - return; - } - - LOG_DBG("%s: parse_tool_calls\n", __func__); - - // Find all blocks - while (auto first = builder.try_find_regex(tool_call_open, std::string::npos, /* add_prelude_to_content= */ true)) { - builder.move_to(first->groups[0].end); - builder.consume_spaces(); - - builder.try_consume_literal("```json"); - builder.try_consume_literal("```"); - builder.consume_spaces(); - - // Consume JSON object - auto data = builder.consume_json(); - - builder.consume_spaces(); - builder.try_consume_literal("```"); - builder.consume_spaces(); - - if (!builder.try_consume_literal("")) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - builder.consume_spaces(); - - // Extract name and arguments - std::string name; - std::string id; - nlohmann::ordered_json arguments; - - const auto extract_args = [&](const nlohmann::ordered_json & obj) -> bool { - if (!obj.contains("name") || !obj.contains("arguments")) { - return false; - } - name = obj.at("name").get(); - arguments = obj.at("arguments"); - if (obj.contains("id") && obj.at("id").is_string()) { - id = obj.at("id").get(); - } - return true; - }; - - if (!extract_args(data.json)) { - if (data.json.contains("function") && data.json.at("function").is_object()) { - auto fn = data.json.at("function"); - extract_args(fn); - if (id.empty() && data.json.contains("id") && data.json.at("id").is_string()) { - id = data.json.at("id").get(); - } - } - } - - // If name is empty, treat the JSON object as content - if (name.empty()) { - LOG_DBG("%s: tool call missing name, treating as content\n", __func__); - builder.add_content(data.json.dump()); - continue; - } - - std::string args_str = arguments.dump(); - if (!builder.add_tool_call(name, id, args_str)) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - } - - builder.add_content(builder.consume_rest()); -} - -static void common_chat_parse_exaone_moe(common_chat_msg_parser & builder) { - LOG_DBG("%s: parsing exaone_moe\n", __func__); - // EXAONE MoE outputs reasoning content between "" and "" tags, followed by regular content - // First try to parse using the standard reasoning parsing method - LOG_DBG("%s: thinking_forced_open: %s\n", __func__, std::to_string(builder.syntax().thinking_forced_open).c_str()); - - auto start_pos = builder.pos(); - auto found_end_think = builder.try_find_literal(""); - builder.move_to(start_pos); - - if (builder.syntax().thinking_forced_open && !builder.is_partial() && !found_end_think) { - LOG_DBG("%s: no end_think, not partial, adding content\n", __func__); - common_chat_parse_exaone_moe_content(builder); - } else if (builder.try_parse_reasoning("", "")) { - // If reasoning was parsed successfully, the remaining content is regular content - LOG_DBG("%s: parsed reasoning, adding content\n", __func__); - common_chat_parse_exaone_moe_content(builder); - } else { - if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE) { - LOG_DBG("%s: reasoning_format none, adding content\n", __func__); - common_chat_parse_exaone_moe_content(builder); - return; - } - // If no reasoning tags found, check if we should treat everything as reasoning - if (builder.syntax().thinking_forced_open) { - // If thinking is forced open but no tags found, treat everything as reasoning - LOG_DBG("%s: thinking_forced_open, adding reasoning content\n", __func__); - builder.add_reasoning_content(builder.consume_rest()); - } else { - LOG_DBG("%s: no thinking_forced_open, adding content\n", __func__); - common_chat_parse_exaone_moe_content(builder); - } - } -} - -static void common_chat_parse_content_only(common_chat_msg_parser & builder) { - builder.try_parse_reasoning("", ""); - builder.add_content(builder.consume_rest()); -} - -static void common_chat_parse(common_chat_msg_parser & builder) { - LOG_DBG("Parsing input with format %s: %s\n", common_chat_format_name(builder.syntax().format), builder.input().c_str()); - - switch (builder.syntax().format) { - case COMMON_CHAT_FORMAT_CONTENT_ONLY: - common_chat_parse_content_only(builder); - break; - case COMMON_CHAT_FORMAT_GENERIC: - common_chat_parse_generic(builder); - break; - case COMMON_CHAT_FORMAT_MISTRAL_NEMO: - common_chat_parse_mistral_nemo(builder); - break; - case COMMON_CHAT_FORMAT_MAGISTRAL: - common_chat_parse_magistral(builder); - break; - case COMMON_CHAT_FORMAT_LLAMA_3_X: - common_chat_parse_llama_3_1(builder); - break; - case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS: - common_chat_parse_llama_3_1(builder, /* with_builtin_tools= */ true); - break; - case COMMON_CHAT_FORMAT_DEEPSEEK_R1: - common_chat_parse_deepseek_r1(builder); - break; - case COMMON_CHAT_FORMAT_DEEPSEEK_V3_1: - common_chat_parse_deepseek_v3_1(builder); - break; - case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: - common_chat_parse_functionary_v3_2(builder); - break; - case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: - common_chat_parse_functionary_v3_1_llama_3_1(builder); - break; - case COMMON_CHAT_FORMAT_HERMES_2_PRO: - common_chat_parse_hermes_2_pro(builder); - break; - case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: - common_chat_parse_firefunction_v2(builder); - break; - case COMMON_CHAT_FORMAT_COMMAND_R7B: - common_chat_parse_command_r7b(builder); - break; - case COMMON_CHAT_FORMAT_GRANITE: - common_chat_parse_granite(builder); - break; - case COMMON_CHAT_FORMAT_GPT_OSS: - common_chat_parse_gpt_oss(builder); - break; - case COMMON_CHAT_FORMAT_SEED_OSS: - common_chat_parse_seed_oss(builder); - break; - case COMMON_CHAT_FORMAT_NEMOTRON_V2: - common_chat_parse_nemotron_v2(builder); - break; - case COMMON_CHAT_FORMAT_APERTUS: - common_chat_parse_apertus(builder); - break; - case COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS: - common_chat_parse_lfm2(builder); - break; - case COMMON_CHAT_FORMAT_MINIMAX_M2: - common_chat_parse_minimax_m2(builder); - break; - case COMMON_CHAT_FORMAT_GLM_4_5: - common_chat_parse_glm_4_5(builder); - break; - case COMMON_CHAT_FORMAT_KIMI_K2: - common_chat_parse_kimi_k2(builder); - break; - case COMMON_CHAT_FORMAT_APRIEL_1_5: - common_chat_parse_apriel_1_5(builder); - break; - case COMMON_CHAT_FORMAT_XIAOMI_MIMO: - common_chat_parse_xiaomi_mimo(builder); - break; - case COMMON_CHAT_FORMAT_SOLAR_OPEN: - common_chat_parse_solar_open(builder); - break; - case COMMON_CHAT_FORMAT_EXAONE_MOE: - common_chat_parse_exaone_moe(builder); - break; - default: - throw std::runtime_error(std::string("Unsupported format: ") + common_chat_format_name(builder.syntax().format)); - } - builder.finish(); -} - -common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & syntax) { - if (syntax.format == COMMON_CHAT_FORMAT_PEG_SIMPLE || - syntax.format == COMMON_CHAT_FORMAT_PEG_NATIVE || - syntax.format == COMMON_CHAT_FORMAT_PEG_CONSTRUCTED) { - return common_chat_peg_parse(syntax.parser, input, is_partial, syntax); - } - common_chat_msg_parser builder(input, is_partial, syntax); - try { - common_chat_parse(builder); - } catch (const common_chat_msg_partial_exception & ex) { - LOG_DBG("Partial parse: %s\n", ex.what()); - if (!is_partial) { - builder.clear_tools(); - builder.move_to(0); - common_chat_parse_content_only(builder); - } - } - auto msg = builder.result(); - if (!is_partial) { - LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat({msg}).at(0).dump().c_str()); - } - return msg; -} - -common_chat_msg common_chat_peg_parse(const common_peg_arena & parser, const std::string & input, bool is_partial, const common_chat_parser_params & syntax) { - if (parser.empty()) { - throw std::runtime_error("Failed to parse due to missing parser definition."); - } - - LOG_DBG("Parsing input with format %s: %s\n", common_chat_format_name(syntax.format), input.c_str()); - - common_peg_parse_context ctx(input, is_partial); - auto result = parser.parse(ctx); - if (result.fail()) { - throw std::runtime_error(std::string("Failed to parse input at pos ") + std::to_string(result.end)); - } - - common_chat_msg msg; - msg.role = "assistant"; - - if (syntax.format == COMMON_CHAT_FORMAT_PEG_NATIVE) { - auto mapper = common_chat_peg_native_mapper(msg); - mapper.from_ast(ctx.ast, result); - } else if (syntax.format == COMMON_CHAT_FORMAT_PEG_CONSTRUCTED) { - auto mapper = common_chat_peg_constructed_mapper(msg); - mapper.from_ast(ctx.ast, result); - } else { - // Generic mapper - auto mapper = common_chat_peg_mapper(msg); - mapper.from_ast(ctx.ast, result); - } - if (!is_partial) { - LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat({msg}).at(0).dump().c_str()); - } - return msg; -} diff --git a/common/chat-parser.h b/common/chat-parser.h deleted file mode 100644 index 3ed9c30a2b..0000000000 --- a/common/chat-parser.h +++ /dev/null @@ -1,133 +0,0 @@ -#pragma once - -#include "chat.h" -#include "chat-parser-xml-toolcall.h" -#include "json-partial.h" -#include "regex-partial.h" - -#include - -#include -#include -#include - -class common_chat_msg_partial_exception : public std::runtime_error { - public: - common_chat_msg_partial_exception(const std::string & message) : std::runtime_error(message) {} -}; - -class common_chat_msg_parser { - std::string input_; - bool is_partial_; - common_chat_parser_params syntax_; // TODO: rename to params - std::string healing_marker_; - - size_t pos_ = 0; - common_chat_msg result_; - - public: - common_chat_msg_parser(const std::string & input, bool is_partial, const common_chat_parser_params & syntax); - const std::string & input() const { return input_; } - size_t pos() const { return pos_; } - const std::string & healing_marker() const { return healing_marker_; } - const bool & is_partial() const { return is_partial_; } - const common_chat_msg & result() const { return result_; } - const common_chat_parser_params & syntax() const { return syntax_; } - - void move_to(size_t pos) { - if (pos > input_.size()) { - throw std::runtime_error("Invalid position!"); - } - pos_ = pos; - } - void move_back(size_t n) { - if (pos_ < n) { - throw std::runtime_error("Can't move back that far!"); - } - pos_ -= n; - } - - // Get the substring of the input at the given range - std::string str(const common_string_range & rng) const; - - // Appends to the result.content field - void add_content(const std::string & content); - - // Appends to the result.reasoning_content field - void add_reasoning_content(const std::string & reasoning_content); - - // Adds a tool call to the result. If the tool call is too incomplete (e.g. name empty), it won't add anything. - bool add_tool_call(const std::string & name, const std::string & id, const std::string & arguments); - - // Adds a tool call using the "name", "id" and "arguments" fields of the json object - bool add_tool_call(const nlohmann::ordered_json & tool_call); - - // Adds an array of tool calls using their "name", "id" and "arguments" fields. - bool add_tool_calls(const nlohmann::ordered_json & arr); - - // Adds a tool call using the short form: { "tool_name": { "arg1": val, "arg2": val } } - bool add_tool_call_short_form(const nlohmann::ordered_json & tool_call); - - void finish(); - - bool consume_spaces(); - - void consume_literal(const std::string & literal); - - bool try_parse_reasoning(const std::string & start_think, const std::string & end_think); - - std::string consume_rest(); - - struct find_regex_result { - std::string prelude; - std::vector groups; - }; - - std::optional try_find_regex(const common_regex & regex, size_t from = std::string::npos, bool add_prelude_to_content = true); - - bool try_consume_literal(const std::string & literal); - - std::optional try_find_literal(const std::string & literal); - - find_regex_result consume_regex(const common_regex & regex); - - std::optional try_consume_regex(const common_regex & regex); - - std::optional try_consume_json(); - common_json consume_json(); - - struct consume_json_result { - nlohmann::ordered_json value; - bool is_partial; - }; - - /* - Consume (possibly partial) json and converts specific subtrees to (possibly truncated) JSON strings. - - By default, object keys can't be truncated, nor can string values (their corresponding key is removed, - e.g. `{"foo": "bar", "baz": "b` -> `{"foo": "bar"}` - - But one can allow subpaths to be kept truncated, and possibly json-dumped to truncated json strings - - with `content_paths={{"foo"}}` -> `{"foo": "b` -> {"foo": "b"}` - - with `args_paths={{"foo"}}` -> `{"foo": {"b` -> `{"foo": "{b"}` - */ - consume_json_result consume_json_with_dumped_args( - const std::vector> & args_paths = {}, - const std::vector> & content_paths = {} - ); - std::optional try_consume_json_with_dumped_args( - const std::vector> & args_paths = {}, - const std::vector> & content_paths = {} - ); - - /** - * Parse XML-Style tool call for given xml_tool_call_format. Return false for invalid syntax and get the position untouched. - * form.scope_start, form.tool_sep and form.scope_end can be empty. - */ - bool try_consume_xml_tool_calls(const struct xml_tool_call_format & form); - - // Parse content uses reasoning and XML-Style tool call - void consume_reasoning_with_xml_tool_calls(const struct xml_tool_call_format & form, const std::string & start_think = "", const std::string & end_think = ""); - - void clear_tools(); -}; diff --git a/common/chat-peg-parser.cpp b/common/chat-peg-parser.cpp index 1bcba9cd86..ef9dec5935 100644 --- a/common/chat-peg-parser.cpp +++ b/common/chat-peg-parser.cpp @@ -1,13 +1,17 @@ #include "chat-peg-parser.h" +#include "chat-auto-parser.h" +#include "ggml.h" +#include "peg-parser.h" + #include -using json = nlohmann::json; +using json = nlohmann::ordered_json; static std::string_view trim_trailing_space(std::string_view sv, int max = -1) { int count = 0; while (!sv.empty() && std::isspace(static_cast(sv.back()))) { - if (max != -1 && count <= max) { + if (max != -1 && count >= max) { break; } sv.remove_suffix(1); @@ -16,109 +20,753 @@ static std::string_view trim_trailing_space(std::string_view sv, int max = -1) { return sv; } -void common_chat_peg_mapper::from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result) { +static std::string_view trim_leading_space(std::string_view sv, int max = -1) { + int count = 0; + while (!sv.empty() && std::isspace(static_cast(sv.front()))) { + if (max != -1 && count >= max) { + break; + } + sv.remove_prefix(1); + count++; + } + return sv; +} + +static std::string_view trim(std::string_view sv) { + return trim_trailing_space(trim_leading_space(sv, 1)); +} + +// Count the number of unclosed '{' braces in a JSON-like string, +// properly skipping braces inside quoted strings. +static int json_brace_depth(const std::string & s) { + int depth = 0; + bool in_string = false; + bool escaped = false; + for (char c : s) { + if (escaped) { + escaped = false; + continue; + } + if (c == '\\' && in_string) { + escaped = true; + continue; + } + if (c == '"') { + in_string = !in_string; + continue; + } + if (!in_string) { + if (c == '{') { + depth++; + } else if (c == '}') { + depth--; + } + } + } + return depth; +} + +// JSON-escape a string and return the inner content (without surrounding quotes). +static std::string escape_json_string_inner(const std::string & s) { + std::string escaped = json(s).dump(); + if (escaped.size() >= 2 && escaped.front() == '"' && escaped.back() == '"') { + return escaped.substr(1, escaped.size() - 2); + } + return escaped; +} + +// Convert Python-style single-quoted strings to JSON double-quoted strings +// Only converts outer string delimiters, properly handling escape sequences: +// - {'key': 'value'} -> {"key": "value"} +// - {'code': 'print(\'hello\')'} -> {"code": "print('hello')"} +// - {'msg': 'He said "hi"'} -> {"msg": "He said \"hi\""} +static std::string normalize_quotes_to_json(const std::string & input) { + std::string result; + result.reserve(input.size() + 16); // May need extra space for escaping + + bool in_single_quoted = false; + bool in_double_quoted = false; + + for (size_t i = 0; i < input.size(); ++i) { + char c = input[i]; + + // Handle escape sequences + if (c == '\\' && i + 1 < input.size()) { + char next = input[i + 1]; + + if (in_single_quoted) { + // Inside a single-quoted string being converted to double quotes + if (next == '\'') { + // \' -> ' (escaped single quote becomes unescaped in double-quoted string) + result += '\''; + ++i; + continue; + } + if (next == '"') { + // \" stays as \" (already escaped, works in double-quoted string) + result += "\\\""; + ++i; + continue; + } + // Other escapes (\n, \\, etc.): pass through both characters + result += c; + result += next; + ++i; + continue; + } + + if (in_double_quoted) { + // Inside a double-quoted string - pass through escape sequences as-is + result += c; + result += next; + ++i; + continue; + } + + // Outside any string - just pass through the backslash + result += c; + continue; + } + + // Handle quote characters + if (c == '"') { + if (in_single_quoted) { + // Unescaped double quote inside single-quoted string -> must escape for JSON + result += "\\\""; + } else { + // Double quote as string delimiter or outside strings + in_double_quoted = !in_double_quoted; + result += c; + } + } else if (c == '\'') { + if (in_double_quoted) { + // Single quote inside double-quoted string -> pass through + result += c; + } else if (in_single_quoted) { + // Closing single quote -> convert to double quote + in_single_quoted = false; + result += '"'; + } else { + // Opening single quote -> convert to double quote + in_single_quoted = true; + result += '"'; + } + } else { + result += c; + } + } + + return result; +} + +void tag_based_peg_mapper::from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result) { arena.visit(result, [this](const common_peg_ast_node & node) { - map(node); + if (!node.tag.empty()) { + tags[node.tag] = std::string(node.text); + } }); } -void common_chat_peg_mapper::map(const common_peg_ast_node & node) { - bool is_reasoning = node.tag == common_chat_peg_builder::REASONING; - bool is_content = node.tag == common_chat_peg_builder::CONTENT; +tagged_parse_result tagged_peg_parser::parse_and_extract(const std::string & input, bool is_partial) const { + common_peg_parse_context ctx(input, is_partial); + auto parse_result = arena.parse(ctx); - if (is_reasoning) { - result.reasoning_content = std::string(trim_trailing_space(node.text)); + tag_based_peg_mapper mapper; + mapper.from_ast(ctx.ast, parse_result); + + return { std::move(parse_result), std::move(mapper.tags) }; +} + +tagged_parse_result tagged_peg_parser::parse_anywhere_and_extract(const std::string & input) const { + if (input.empty()) { + return parse_and_extract(input, false); } + for (size_t i = 0; i < input.size(); i++) { + common_peg_parse_context ctx(input, false); + ctx.debug = debug; + auto parse_result = arena.parse(ctx, i); + if (parse_result.success() || i == input.size() - 1) { + tag_based_peg_mapper mapper; + mapper.from_ast(ctx.ast, parse_result); + return { std::move(parse_result), std::move(mapper.tags) }; + } + } + GGML_ABORT("Should not happen"); +} - if (is_content) { - result.content = std::string(trim_trailing_space(node.text)); +tagged_peg_parser build_tagged_peg_parser( + const std::function & fn) { + common_peg_parser_builder builder; + builder.set_root(fn(builder)); + return { builder.build() }; +} + +common_peg_parser common_chat_peg_builder::tag_with_safe_content(const std::string & tag_name, + const std::string & marker, + const common_peg_parser & p) { + if (marker.empty()) { + return zero_or_more(choice({ p, rule(tag_name, content(any())) })); + } + auto content_chunk = rule(tag_name, content(negate(literal(marker)) + any() + until(marker))); + return zero_or_more(choice({ p, content_chunk })); +} + +std::string & common_chat_peg_mapper::args_target() { + return (current_tool && !current_tool->name.empty()) ? current_tool->arguments : args_buffer; +} + +void common_chat_peg_mapper::from_ast(const common_peg_ast_arena & arena, + const common_peg_parse_result & parse_result_arg) { + arena.visit(parse_result_arg, [this](const common_peg_ast_node & node) { map(node); }); + // Flush any pending tool call that was started but never got a name + // This happens during partial parsing when the tool call is incomplete + if (pending_tool_call.has_value() && !pending_tool_call->name.empty()) { + if (!args_buffer.empty()) { + pending_tool_call->arguments = args_buffer; + } + if (closing_quote_pending && !pending_tool_call->arguments.empty()) { + pending_tool_call->arguments += "\""; + } + result.tool_calls.push_back(pending_tool_call.value()); + pending_tool_call.reset(); } } -void common_chat_peg_native_mapper::map(const common_peg_ast_node & node) { - common_chat_peg_mapper::map(node); +void common_chat_peg_mapper::map(const common_peg_ast_node & node) { + // Handle reasoning/content tags + bool is_reasoning = node.tag == common_chat_peg_builder::REASONING; + bool is_content = node.tag == common_chat_peg_builder::CONTENT; - bool is_tool_open = node.tag == common_chat_peg_native_builder::TOOL_OPEN; - bool is_tool_name = node.tag == common_chat_peg_native_builder::TOOL_NAME; - bool is_tool_id = node.tag == common_chat_peg_native_builder::TOOL_ID; - bool is_tool_args = node.tag == common_chat_peg_native_builder::TOOL_ARGS; + if (is_reasoning) { // GPT OSS can have more than 1 reasoning block, so concatenate here + result.reasoning_content += std::string(node.text); + } + + if (is_content) { + // Concatenate content from multiple content nodes (e.g., when reasoning markers + // are preserved before content markers in reasoning_format=NONE mode) + result.content += std::string(node.text); + } + + // Handle tool-related tags (supporting both JSON and tagged formats) + bool is_tool_open = node.tag == common_chat_peg_builder::TOOL_OPEN; + bool is_tool_close = node.tag == common_chat_peg_builder::TOOL_CLOSE; + bool is_tool_name = node.tag == common_chat_peg_builder::TOOL_NAME; + bool is_tool_id = node.tag == common_chat_peg_builder::TOOL_ID; + bool is_tool_args = node.tag == common_chat_peg_builder::TOOL_ARGS; + bool is_arg_open = node.tag == common_chat_peg_builder::TOOL_ARG_OPEN; + bool is_arg_close = node.tag == common_chat_peg_builder::TOOL_ARG_CLOSE; + bool is_arg_name = node.tag == common_chat_peg_builder::TOOL_ARG_NAME; + bool is_arg_value = node.tag == common_chat_peg_builder::TOOL_ARG_VALUE; + bool is_arg_string_value = node.tag == common_chat_peg_builder::TOOL_ARG_STRING_VALUE; if (is_tool_open) { - result.tool_calls.emplace_back(); - current_tool = &result.tool_calls.back(); + pending_tool_call = common_chat_tool_call(); + current_tool = &pending_tool_call.value(); + arg_count = 0; + args_buffer.clear(); + closing_quote_pending = false; } if (is_tool_id && current_tool) { - current_tool->id = std::string(trim_trailing_space(node.text)); + auto text = trim_trailing_space(node.text); + if (text.size() >= 2 && text.front() == '"' && text.back() == '"') { + text = text.substr(1, text.size() - 2); + } + current_tool->id = std::string(text); } if (is_tool_name && current_tool) { current_tool->name = std::string(trim_trailing_space(node.text)); + // Now that we have the name, populate the arguments from the buffer + if (!args_buffer.empty()) { + current_tool->arguments = args_buffer; + args_buffer.clear(); + } else if (current_tool->arguments.empty()) { + current_tool->arguments = "{"; + } + // Add the tool call to results so streaming can see it + if (pending_tool_call.has_value()) { + result.tool_calls.push_back(pending_tool_call.value()); + pending_tool_call.reset(); + current_tool = &result.tool_calls.back(); + } } if (is_tool_args && current_tool) { - current_tool->arguments = std::string(trim_trailing_space(node.text)); - } -} - -void common_chat_peg_constructed_mapper::map(const common_peg_ast_node & node) { - common_chat_peg_mapper::map(node); - - bool is_tool_open = node.tag == common_chat_peg_constructed_builder::TOOL_OPEN; - bool is_tool_name = node.tag == common_chat_peg_constructed_builder::TOOL_NAME; - bool is_tool_close = node.tag == common_chat_peg_constructed_builder::TOOL_CLOSE; - bool is_arg_open = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_OPEN; - bool is_arg_close = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_CLOSE; - bool is_arg_name = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_NAME; - bool is_arg_string = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_STRING_VALUE; - bool is_arg_json = node.tag == common_chat_peg_constructed_builder::TOOL_ARG_JSON_VALUE; - - if (is_tool_open) { - result.tool_calls.emplace_back(); - current_tool = &result.tool_calls.back(); - arg_count = 0; - } - - if (is_tool_name) { - current_tool->name = std::string(node.text); - current_tool->arguments = "{"; + // For JSON format: arguments come as a complete JSON object + // For tagged format: built up from individual arg_name/arg_value nodes + auto text = trim_trailing_space(node.text); + if (!text.empty() && text.front() == '{') { + args_target() = std::string(text); + } } if (is_arg_open) { - needs_closing_quote = false; + closing_quote_pending = false; } if (is_arg_name && current_tool) { + std::string arg_entry; if (arg_count > 0) { - current_tool->arguments += ","; + arg_entry = ","; } - current_tool->arguments += json(trim_trailing_space(node.text)).dump() + ":"; + arg_entry += json(trim(node.text)).dump() + ":"; ++arg_count; + + auto & target = args_target(); + if (target.empty()) { + target = "{"; + } + target += arg_entry; } - if (is_arg_string && current_tool) { - // Serialize to JSON, but exclude the end quote - std::string dumped = json(trim_trailing_space(node.text)).dump(); - current_tool->arguments += dumped.substr(0, dumped.size() - 1); - needs_closing_quote = true; + if ((is_arg_value || is_arg_string_value) && current_tool) { + std::string value_content = std::string(trim_trailing_space(trim_leading_space(node.text, 1), 1)); + + std::string value_to_add; + if (value_content.empty() && is_arg_string_value) { + // Empty string value - arg_close will add the closing quote + value_to_add = "\""; + closing_quote_pending = true; + } else if (!value_content.empty() && is_arg_string_value) { + // Schema declares this as string type - always treat as literal string value + if (!closing_quote_pending) { + value_to_add = "\""; + closing_quote_pending = true; + } + value_to_add += escape_json_string_inner(value_content); + } else if (!value_content.empty()) { + // For potential containers, normalize Python-style single quotes to JSON double quotes + bool is_potential_container = value_content[0] == '[' || value_content[0] == '{'; + if (is_potential_container) { + value_content = normalize_quotes_to_json(value_content); + } + + // Try to parse as JSON value (number, bool, null, object, array) + try { + json parsed = json::parse(value_content); + if (parsed.is_string()) { + // Don't add closing quote yet (added by arg_close) for monotonic streaming + std::string escaped = parsed.dump(); + if (!escaped.empty() && escaped.back() == '"') { + escaped.pop_back(); + } + value_to_add = escaped; + closing_quote_pending = true; + } else { + // Non-string values: use raw content to preserve whitespace for monotonicity + value_to_add = value_content; + } + } catch (...) { + if (node.is_partial && is_potential_container) { + // Partial container: pass through the already-normalized content + value_to_add = value_content; + } else { + // Not valid JSON - treat as string value + if (!closing_quote_pending) { + value_to_add = "\""; + closing_quote_pending = true; + } + value_to_add += escape_json_string_inner(value_content); + } + } + } + + args_target() += value_to_add; } if (is_arg_close && current_tool) { - if (needs_closing_quote) { - current_tool->arguments += "\""; - needs_closing_quote = false; + if (closing_quote_pending) { + args_target() += "\""; + closing_quote_pending = false; } } - if (is_arg_json && current_tool) { - current_tool->arguments += std::string(trim_trailing_space(node.text)); - } - if (is_tool_close && current_tool) { - if (needs_closing_quote) { - current_tool->arguments += "\""; - needs_closing_quote = false; + // Flush buffer to arguments if tool name was never seen + if (current_tool->name.empty() && !args_buffer.empty()) { + current_tool->arguments = args_buffer; + args_buffer.clear(); + } + // Close any pending string quote + if (closing_quote_pending) { + current_tool->arguments += "\""; + closing_quote_pending = false; + } + // Close any unclosed braces (accounts for nested objects) + for (int d = json_brace_depth(current_tool->arguments); d > 0; d--) { + current_tool->arguments += "}"; + } + // Add tool call to results if named; otherwise discard + if (pending_tool_call.has_value()) { + if (!current_tool->name.empty()) { + result.tool_calls.push_back(pending_tool_call.value()); + } + pending_tool_call.reset(); } - current_tool->arguments += "}"; } } + +common_peg_parser common_chat_peg_builder::standard_constructed_tools( + const std::map & markers, + const nlohmann::json & tools, + bool parallel_tool_calls, + bool force_tool_calls) { + if (!tools.is_array() || tools.empty()) { + return eps(); + } + + // Extract markers with defaults + auto get_marker = [&markers](const std::string & key, const std::string & default_val = "") -> std::string { + auto it = markers.find(key); + return it != markers.end() ? it->second : default_val; + }; + + std::string section_start = get_marker("tool_call_start_marker", ""); + std::string section_end = get_marker("tool_call_end_marker", ""); + std::string func_opener = get_marker("function_opener", ""); + std::string func_closer = get_marker("function_closer", ""); + std::string param_key_prefix = get_marker("parameter_key_prefix", ""); + std::string param_closer = get_marker("parameter_closer", ""); + + // Build tool choices for tagged format + auto tool_choices = choice(); + + for (const auto & tool_def : tools) { + if (!tool_def.contains("function")) { + continue; + } + const auto & function = tool_def.at("function"); + std::string name = function.at("name"); + nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + + // Build argument parsers + auto args = eps(); + if (params.contains("properties") && !params["properties"].empty()) { + auto arg_choice = choice(); + for (const auto & el : params["properties"].items()) { + const std::string & prop_name = el.key(); + + auto arg_name_parser = + choice({ literal(prop_name), literal("\"" + prop_name + "\""), literal("'" + prop_name + "'") }); + + auto arg_rule = tool_arg(tool_arg_open(literal(param_key_prefix)) + tool_arg_name(arg_name_parser) + + literal(param_key_suffix) + tool_arg_value(until(param_closer)) + + tool_arg_close(literal(param_closer))); + arg_choice |= arg_rule; + } + args = zero_or_more(arg_choice + space()); + } + + // Build function parser: args + auto tool_parser = tool(tool_open(literal(func_opener) + tool_name(literal(name)) + literal(func_name_suffix)) + + space() + tool_args(args) + space() + tool_close(literal(func_closer))); + + tool_choices |= rule("tool-" + name, tool_parser); + } + + // Build the section with markers + auto section = + parallel_tool_calls ? + trigger_rule("tool-call", literal(section_start) + space() + one_or_more(tool_choices + space()) + + literal(section_end)) : + trigger_rule("tool-call", literal(section_start) + space() + tool_choices + space() + literal(section_end)); + + return force_tool_calls ? section : optional(section); +} + +// Helper: Parse dot notation key into prefix and field name +static std::pair parse_key_spec(const std::string & key) { + auto dot_pos = key.find('.'); + if (dot_pos == std::string::npos) { + return {"", key}; // Top-level field + } + return {key.substr(0, dot_pos), key.substr(dot_pos + 1)}; +} + +// Mode 1: function_is_key — parse {"function_name": {...}} +common_peg_parser common_chat_peg_builder::build_json_tools_function_is_key( + const nlohmann::json & tools, + const std::string & args_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key) { + + auto tool_choices = choice(); + + for (const auto & tool_def : tools) { + if (!tool_def.contains("function")) { + continue; + } + const auto & function = tool_def.at("function"); + std::string name = function.at("name"); + nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + + // Build inner object fields + std::vector inner_fields; + + if (!call_id_key.empty()) { + auto id_parser = atomic( + literal("\"" + call_id_key + "\"") + space() + literal(":") + space() + + literal("\"") + tool_id(json_string_content()) + literal("\"") + ); + inner_fields.push_back(optional(id_parser + space() + optional(literal(",") + space()))); + } + + if (!gen_call_id_key.empty()) { + auto gen_id_parser = atomic( + literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() + + choice({ + literal("\"") + tool_id(json_string_content()) + literal("\""), + tool_id(json_number()) + }) + ); + inner_fields.push_back(optional(gen_id_parser + space() + optional(literal(",") + space()))); + } + + // Arguments — either wrapped in args_key or parsed directly + common_peg_parser args_parser = eps(); + if (args_key.empty()) { + args_parser = tool_args(schema(json(), "tool-" + name + "-schema", params)); + } else { + args_parser = literal("\"" + effective_args_key + "\"") + space() + literal(":") + space() + + tool_args(schema(json(), "tool-" + name + "-schema", params)); + } + inner_fields.push_back(args_parser); + + // Build inner object parser + common_peg_parser inner_object = eps(); + if (args_key.empty() && inner_fields.size() == 1) { + inner_object = inner_fields[0]; + } else { + inner_object = literal("{") + space(); + for (size_t i = 0; i < inner_fields.size(); i++) { + inner_object = inner_object + inner_fields[i]; + if (i < inner_fields.size() - 1) { + inner_object = inner_object + space(); + } + } + inner_object = inner_object + space() + literal("}"); + } + + auto tool_parser = tool( + tool_open(literal("{")) + space() + + literal("\"") + tool_name(literal(name)) + literal("\"") + + space() + literal(":") + space() + + inner_object + + space() + tool_close(literal("}")) + ); + + tool_choices |= rule("tool-" + name, tool_parser); + } + + return tool_choices; +} + +// Mode 2: Nested keys (dot notation like "function.name") +common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys( + const nlohmann::json & tools, + const std::string & effective_name_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key) { + + auto tool_choices = choice(); + + auto name_spec = parse_key_spec(effective_name_key); + auto args_spec = parse_key_spec(effective_args_key); + + std::string nested_prefix = !name_spec.first.empty() ? name_spec.first : args_spec.first; + std::string nested_name_field = !name_spec.first.empty() ? name_spec.second : effective_name_key; + std::string nested_args_field = !args_spec.first.empty() ? args_spec.second : effective_args_key; + + for (const auto & tool_def : tools) { + if (!tool_def.contains("function")) { + continue; + } + const auto & function = tool_def.at("function"); + std::string name = function.at("name"); + nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + + auto nested_name = literal("\"" + nested_name_field + "\"") + space() + literal(":") + space() + + literal("\"") + tool_name(literal(name)) + literal("\""); + auto nested_args = literal("\"" + nested_args_field + "\"") + space() + literal(":") + space() + + tool_args(schema(json(), "tool-" + name + "-schema", params)); + + auto nested_object = literal("{") + space() + + nested_name + space() + literal(",") + space() + + nested_args + + space() + literal("}"); + + // Format: { id?, "function": {...} } + auto tool_parser_body = tool_open(literal("{")) + space(); + + if (!call_id_key.empty()) { + auto id_spec = parse_key_spec(call_id_key); + if (id_spec.first.empty()) { + auto id_parser = atomic( + literal("\"" + call_id_key + "\"") + space() + literal(":") + space() + + literal("\"") + tool_id(json_string_content()) + literal("\"") + ); + tool_parser_body = tool_parser_body + optional(id_parser + space() + literal(",") + space()); + } + } + + if (!gen_call_id_key.empty()) { + auto gen_id_spec = parse_key_spec(gen_call_id_key); + if (gen_id_spec.first.empty()) { + auto gen_id_parser = atomic( + literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() + + choice({ + literal("\"") + tool_id(json_string_content()) + literal("\""), + tool_id(json_number()) + }) + ); + tool_parser_body = tool_parser_body + optional(gen_id_parser + space() + literal(",") + space()); + } + } + + auto nested_field = literal("\"" + nested_prefix + "\"") + space() + literal(":") + space() + nested_object; + tool_parser_body = tool_parser_body + nested_field + space() + tool_close(literal("}")); + + tool_choices |= rule("tool-" + name, tool(tool_parser_body)); + } + + return tool_choices; +} + +// Mode 3: Flat keys with optional ID fields and parameter ordering +common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys( + const nlohmann::json & tools, + const std::string & effective_name_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key, + const std::vector & parameters_order) { + + auto tool_choices = choice(); + auto name_key_parser = literal("\"" + effective_name_key + "\""); + auto args_key_parser = literal("\"" + effective_args_key + "\""); + + for (const auto & tool_def : tools) { + if (!tool_def.contains("function")) { + continue; + } + const auto & function = tool_def.at("function"); + std::string name = function.at("name"); + nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + + auto tool_name_ = name_key_parser + space() + literal(":") + space() + + literal("\"") + tool_name(literal(name)) + literal("\""); + auto tool_args_ = args_key_parser + space() + literal(":") + space() + + tool_args(schema(json(), "tool-" + name + "-schema", params)); + + // Build ID parsers if keys are provided + common_peg_parser id_parser = eps(); + if (!call_id_key.empty()) { + id_parser = atomic( + literal("\"" + call_id_key + "\"") + space() + literal(":") + space() + + choice({ + literal("\"") + tool_id(json_string_content()) + literal("\""), + tool_id(json_number()) + }) + ); + } + + common_peg_parser gen_id_parser = eps(); + if (!gen_call_id_key.empty()) { + gen_id_parser = atomic( + literal("\"" + gen_call_id_key + "\"") + space() + literal(":") + space() + + choice({ + literal("\"") + tool_id(json_string_content()) + literal("\""), + tool_id(json_number()) + }) + ); + } + + // Create (parser, key) pairs for all fields, then sort by parameters_order + std::vector> parser_pairs; + parser_pairs.emplace_back(tool_name_, effective_name_key); + parser_pairs.emplace_back(tool_args_, effective_args_key); + if (!call_id_key.empty()) { + parser_pairs.emplace_back(optional(id_parser), call_id_key); + } + if (!gen_call_id_key.empty()) { + parser_pairs.emplace_back(optional(gen_id_parser), gen_call_id_key); + } + + std::sort(parser_pairs.begin(), parser_pairs.end(), + [¶meters_order](const auto & a, const auto & b) { + auto pos_a = std::find(parameters_order.begin(), parameters_order.end(), a.second); + auto pos_b = std::find(parameters_order.begin(), parameters_order.end(), b.second); + size_t idx_a = (pos_a == parameters_order.end()) ? parameters_order.size() : std::distance(parameters_order.begin(), pos_a); + size_t idx_b = (pos_b == parameters_order.end()) ? parameters_order.size() : std::distance(parameters_order.begin(), pos_b); + return idx_a < idx_b; + }); + + auto ordered_body = tool_open(literal("{")) + space(); + for (size_t i = 0; i < parser_pairs.size(); i++) { + ordered_body = ordered_body + parser_pairs[i].first; + if (i < parser_pairs.size() - 1) { + ordered_body = ordered_body + space() + literal(",") + space(); + } + } + ordered_body = ordered_body + space() + tool_close(literal("}")); + + tool_choices |= rule("tool-" + name, tool(ordered_body)); + } + + return tool_choices; +} + +common_peg_parser common_chat_peg_builder::standard_json_tools( + const std::string & section_start, + const std::string & section_end, + const nlohmann::json & tools, + bool parallel_tool_calls, + bool force_tool_calls, + const std::string & name_key, + const std::string & args_key, + bool array_wrapped, + bool function_is_key, + const std::string & call_id_key, + const std::string & gen_call_id_key, + const std::vector & parameters_order) { + if (!tools.is_array() || tools.empty()) { + return eps(); + } + + std::string effective_name_key = name_key.empty() ? "name" : name_key; + std::string effective_args_key = args_key.empty() ? "arguments" : args_key; + + // Dispatch to the appropriate builder based on the JSON layout mode + common_peg_parser tool_choices = eps(); + if (function_is_key) { + tool_choices = build_json_tools_function_is_key(tools, args_key, effective_args_key, call_id_key, gen_call_id_key); + } else { + auto name_spec = parse_key_spec(effective_name_key); + auto args_spec = parse_key_spec(effective_args_key); + if (!name_spec.first.empty() || !args_spec.first.empty()) { + tool_choices = build_json_tools_nested_keys(tools, effective_name_key, effective_args_key, call_id_key, gen_call_id_key); + } else { + tool_choices = build_json_tools_flat_keys(tools, effective_name_key, effective_args_key, call_id_key, gen_call_id_key, parameters_order); + } + } + + // Build the section with markers + auto tool_calls = tool_choices; + if (parallel_tool_calls) { + tool_calls = tool_calls + zero_or_more(space() + literal(",") + space() + tool_choices); + } + + if (array_wrapped) { + tool_calls = literal("[") + space() + tool_calls + space() + literal("]"); + } + + auto section = + trigger_rule("tool-call", literal(section_start) + space() + tool_calls + space() + literal(section_end)); + + return force_tool_calls ? section : optional(section); +} diff --git a/common/chat-peg-parser.h b/common/chat-peg-parser.h index b84cbed206..e130ceea5f 100644 --- a/common/chat-peg-parser.h +++ b/common/chat-peg-parser.h @@ -3,22 +3,9 @@ #include "chat.h" #include "peg-parser.h" -class common_chat_peg_builder : public common_peg_parser_builder { - public: - static constexpr const char * REASONING_BLOCK = "reasoning-block"; - static constexpr const char * REASONING = "reasoning"; - static constexpr const char * CONTENT = "content"; - - common_peg_parser reasoning_block(const common_peg_parser & p) { return tag(REASONING_BLOCK, p); } - common_peg_parser reasoning(const common_peg_parser & p) { return tag(REASONING, p); } - common_peg_parser content(const common_peg_parser & p) { return tag(CONTENT, p); } -}; - -inline common_peg_arena build_chat_peg_parser(const std::function & fn) { - common_chat_peg_builder builder; - builder.set_root(fn(builder)); - return builder.build(); -} +#include +#include +#include class common_chat_peg_mapper { public: @@ -26,80 +13,164 @@ class common_chat_peg_mapper { common_chat_peg_mapper(common_chat_msg & msg) : result(msg) {} + virtual ~common_chat_peg_mapper() = default; + virtual void from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result); virtual void map(const common_peg_ast_node & node); + private: + // Tool call handling state + std::optional pending_tool_call; // Tool call waiting for name + common_chat_tool_call * current_tool = nullptr; + int arg_count = 0; + bool closing_quote_pending = false; + std::string args_buffer; // Buffer to delay arguments until tool name is known + + // Returns a reference to the active argument destination string. + // Before tool_name is known, writes go to args_buffer; after, to current_tool->arguments. + std::string & args_target(); }; -class common_chat_peg_native_builder : public common_chat_peg_builder { - public: - static constexpr const char * TOOL = "tool"; - static constexpr const char * TOOL_OPEN = "tool-open"; - static constexpr const char * TOOL_CLOSE = "tool-close"; - static constexpr const char * TOOL_ID = "tool-id"; - static constexpr const char * TOOL_NAME = "tool-name"; - static constexpr const char * TOOL_ARGS = "tool-args"; +struct content_structure; +struct tool_call_structure; +class common_chat_peg_builder : public common_peg_parser_builder { + public: + // Tag constants (from former common_chat_peg_base_builder) + static constexpr const char * REASONING_BLOCK = "reasoning-block"; + static constexpr const char * REASONING = "reasoning"; + static constexpr const char * CONTENT = "content"; + + // Tag constants + static constexpr const char * TOOL = "tool"; + static constexpr const char * TOOL_OPEN = "tool-open"; + static constexpr const char * TOOL_CLOSE = "tool-close"; + static constexpr const char * TOOL_ID = "tool-id"; + static constexpr const char * TOOL_NAME = "tool-name"; + static constexpr const char * TOOL_ARGS = "tool-args"; + static constexpr const char * TOOL_ARG = "tool-arg"; + static constexpr const char * TOOL_ARG_OPEN = "tool-arg-open"; + static constexpr const char * TOOL_ARG_CLOSE = "tool-arg-close"; + static constexpr const char * TOOL_ARG_NAME = "tool-arg-name"; + static constexpr const char * TOOL_ARG_VALUE = "tool-arg-value"; + static constexpr const char * TOOL_ARG_STRING_VALUE = "tool-arg-string-value"; // For schema-declared string types + + // Low-level tag methods (from former common_chat_peg_base_builder) + common_peg_parser reasoning_block(const common_peg_parser & p) { return tag(REASONING_BLOCK, p); } + + common_peg_parser reasoning(const common_peg_parser & p) { return tag(REASONING, p); } + + common_peg_parser content(const common_peg_parser & p) { return tag(CONTENT, p); } + + common_peg_parser tag_with_safe_content(const std::string & tag_name, + const std::string & marker, + const common_peg_parser & p); + + // Low-level tag methods common_peg_parser tool(const common_peg_parser & p) { return tag(TOOL, p); } common_peg_parser tool_open(const common_peg_parser & p) { return atomic(tag(TOOL_OPEN, p)); } common_peg_parser tool_close(const common_peg_parser & p) { return atomic(tag(TOOL_CLOSE, p)); } common_peg_parser tool_id(const common_peg_parser & p) { return atomic(tag(TOOL_ID, p)); } common_peg_parser tool_name(const common_peg_parser & p) { return atomic(tag(TOOL_NAME, p)); } common_peg_parser tool_args(const common_peg_parser & p) { return tag(TOOL_ARGS, p); } -}; - -class common_chat_peg_native_mapper : public common_chat_peg_mapper { - common_chat_tool_call * current_tool; - - public: - common_chat_peg_native_mapper(common_chat_msg & msg) : common_chat_peg_mapper(msg) {} - - void map(const common_peg_ast_node & node) override; -}; - -inline common_peg_arena build_chat_peg_native_parser(const std::function & fn) { - common_chat_peg_native_builder builder; - builder.set_root(fn(builder)); - return builder.build(); -} - -class common_chat_peg_constructed_builder : public common_chat_peg_builder { - public: - static constexpr const char * TOOL = "tool"; - static constexpr const char * TOOL_OPEN = "tool-open"; - static constexpr const char * TOOL_CLOSE = "tool-close"; - static constexpr const char * TOOL_NAME = "tool-name"; - static constexpr const char * TOOL_ARG = "tool-arg"; - static constexpr const char * TOOL_ARG_OPEN = "tool-arg-open"; - static constexpr const char * TOOL_ARG_CLOSE = "tool-arg-close"; - static constexpr const char * TOOL_ARG_NAME = "tool-arg-name"; - static constexpr const char * TOOL_ARG_STRING_VALUE = "tool-arg-string-value"; - static constexpr const char * TOOL_ARG_JSON_VALUE = "tool-arg-json-value"; - - common_peg_parser tool(const common_peg_parser & p) { return tag(TOOL, p); } - common_peg_parser tool_open(const common_peg_parser & p) { return atomic(tag(TOOL_OPEN, p)); } - common_peg_parser tool_close(const common_peg_parser & p) { return atomic(tag(TOOL_CLOSE, p)); } - common_peg_parser tool_name(const common_peg_parser & p) { return atomic(tag(TOOL_NAME, p)); } common_peg_parser tool_arg(const common_peg_parser & p) { return tag(TOOL_ARG, p); } common_peg_parser tool_arg_open(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_OPEN, p)); } common_peg_parser tool_arg_close(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_CLOSE, p)); } common_peg_parser tool_arg_name(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_NAME, p)); } + common_peg_parser tool_arg_value(const common_peg_parser & p) { return tag(TOOL_ARG_VALUE, p); } + + // Use for schema-declared string types - won't be treated as potential JSON container common_peg_parser tool_arg_string_value(const common_peg_parser & p) { return tag(TOOL_ARG_STRING_VALUE, p); } - common_peg_parser tool_arg_json_value(const common_peg_parser & p) { return tag(TOOL_ARG_JSON_VALUE, p); } + common_peg_parser tool_arg_json_value(const common_peg_parser & p) { return atomic(tag(TOOL_ARG_VALUE, p)); } + + // Legacy-compatible helper for building standard JSON tool calls + // Used by tests and manual parsers + // name_key/args_key: JSON key names for function name and arguments + // Empty or "name"/"arguments" will accept both common variations + // Supports dot notation for nested objects (e.g., "function.name") + // array_wrapped: if true, tool calls are wrapped in JSON array [...] + // function_is_key: if true, function name is the JSON key (e.g., {"func_name": {...}}) + // call_id_key: JSON key for string call ID (e.g., "id") + // gen_call_id_key: JSON key for generated integer call ID (e.g., "tool_call_id") + // parameters_order: order in which JSON fields should be parsed + common_peg_parser standard_json_tools(const std::string & section_start, + const std::string & section_end, + const nlohmann::json & tools, + bool parallel_tool_calls, + bool force_tool_calls, + const std::string & name_key = "", + const std::string & args_key = "", + bool array_wrapped = false, + bool function_is_key = false, + const std::string & call_id_key = "", + const std::string & gen_call_id_key = "", + const std::vector & parameters_order = {}); + + // Legacy-compatible helper for building XML/tagged style tool calls + // Used by tests and manual parsers + common_peg_parser standard_constructed_tools(const std::map & markers, + const nlohmann::json & tools, + bool parallel_tool_calls, + bool force_tool_calls); + + private: + // Implementation helpers for standard_json_tools — one per JSON tool call layout mode + common_peg_parser build_json_tools_function_is_key(const nlohmann::json & tools, + const std::string & args_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key); + + common_peg_parser build_json_tools_nested_keys(const nlohmann::json & tools, + const std::string & effective_name_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key); + + common_peg_parser build_json_tools_flat_keys(const nlohmann::json & tools, + const std::string & effective_name_key, + const std::string & effective_args_key, + const std::string & call_id_key, + const std::string & gen_call_id_key, + const std::vector & parameters_order); }; -class common_chat_peg_constructed_mapper : public common_chat_peg_mapper { - common_chat_tool_call * current_tool; - int arg_count = 0; - bool needs_closing_quote = false; - - public: - common_chat_peg_constructed_mapper(common_chat_msg & msg) : common_chat_peg_mapper(msg) {} - - void map(const common_peg_ast_node & node) override; -}; - -inline common_peg_arena build_chat_peg_constructed_parser(const std::function & fn) { - common_chat_peg_constructed_builder builder; - builder.set_root(fn(builder)); - return builder.build(); +inline common_peg_arena build_chat_peg_parser( + const std::function & fn) { + common_chat_peg_builder builder; + builder.set_root(fn(builder)); + return builder.build(); } + +class tag_based_peg_mapper { + public: + std::map tags; + + void from_ast(const common_peg_ast_arena & arena, const common_peg_parse_result & result); +}; + +struct tagged_parse_result { + common_peg_parse_result result; + std::map tags; +}; + +struct tagged_peg_parser { + common_peg_arena arena; + bool debug = false; + + tagged_peg_parser & withDebug() { + debug = true; + return *this; + } + + tagged_peg_parser & withoutDebug() { + debug = false; + return *this; + } + + tagged_parse_result parse_and_extract(const std::string & input, bool is_partial = false) const; + tagged_parse_result parse_anywhere_and_extract(const std::string & input) const; +}; + +tagged_peg_parser build_tagged_peg_parser( + const std::function & fn); + diff --git a/common/chat.cpp b/common/chat.cpp index 52780c59ad..81c23430af 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -1,24 +1,25 @@ #include "chat.h" -#include "chat-parser.h" + +#include "chat-auto-parser.h" #include "chat-peg-parser.h" #include "common.h" -#include "json-partial.h" +#include "ggml.h" #include "json-schema-to-grammar.h" #include "log.h" -#include "regex-partial.h" -#include "jinja/parser.h" #include "jinja/value.h" #include "jinja/runtime.h" #include "jinja/caps.h" +#include "peg-parser.h" -#include #include -#include +#include +#include #include #include -#include + #include +#include #include #include #include @@ -26,14 +27,26 @@ using json = nlohmann::ordered_json; static std::string format_time(const std::chrono::system_clock::time_point & now, const std::string & format) { - auto time = std::chrono::system_clock::to_time_t(now); - auto local_time = *std::localtime(&time); + auto time = std::chrono::system_clock::to_time_t(now); + auto local_time = *std::localtime(&time); std::ostringstream ss; ss << std::put_time(&local_time, format.c_str()); auto res = ss.str(); return res; } +static json safe_args_parse(const std::string & to_parse) { + std::string stripped = to_parse; + if (to_parse.at(0) == '"' && to_parse.at(to_parse.length() - 1) == '"') { + stripped = to_parse.substr(1, to_parse.length() - 1); + } + try { + return json::parse(stripped); + } catch (json::exception & e) { + return stripped; + } +} + static std::string string_diff(const std::string & last, const std::string & current) { if (last.empty()) { return current; @@ -116,7 +129,7 @@ json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const { {"type", "function"}, {"function", { {"name", tool_call.name}, - {"arguments", tool_call.arguments}, + {"arguments", json::parse(tool_call.arguments)}, }}, }; if (!tool_call.id.empty()) { @@ -133,7 +146,8 @@ json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const { return jmsg; } -std::vector common_chat_msg_diff::compute_diffs(const common_chat_msg & msg_prv, const common_chat_msg & msg_new) { +std::vector common_chat_msg_diff::compute_diffs(const common_chat_msg & msg_prv, + const common_chat_msg & msg_new) { std::vector diffs; if (msg_new.tool_calls.size() > msg_prv.tool_calls.size()) { diffs.reserve(msg_new.tool_calls.size() - msg_prv.tool_calls.size() + 3); @@ -143,38 +157,56 @@ std::vector common_chat_msg_diff::compute_diffs(const comm // TODO: these can become expensive for long messages - how to optimize? if (msg_prv.reasoning_content != msg_new.reasoning_content) { - auto & diff = diffs.emplace_back(); + auto & diff = diffs.emplace_back(); diff.reasoning_content_delta = string_diff(msg_prv.reasoning_content, msg_new.reasoning_content); } if (msg_prv.content != msg_new.content) { - auto & diff = diffs.emplace_back(); + auto & diff = diffs.emplace_back(); diff.content_delta = string_diff(msg_prv.content, msg_new.content); } if (msg_new.tool_calls.size() < msg_prv.tool_calls.size()) { - throw std::runtime_error("Invalid diff: now finding less tool calls!"); + std::string err = "Invalid diff: now finding less tool calls!\n"; + err += " Previous (" + std::to_string(msg_prv.tool_calls.size()) + "):\n"; + for (const auto & tc : msg_prv.tool_calls) { + err += " - name: '" + tc.name + "', args: '" + tc.arguments + "'\n"; + } + err += " Current (" + std::to_string(msg_new.tool_calls.size()) + "):\n"; + for (const auto & tc : msg_new.tool_calls) { + err += " - name: '" + tc.name + "', args: '" + tc.arguments + "'\n"; + } + err += " Current msg text content:\n" + msg_new.content + "\n"; + throw std::runtime_error(err); } if (!msg_prv.tool_calls.empty()) { - const auto idx = msg_prv.tool_calls.size() - 1; + const auto idx = msg_prv.tool_calls.size() - 1; const auto & pref = msg_prv.tool_calls[idx]; const auto & newf = msg_new.tool_calls[idx]; - if (pref.name != newf.name) { - throw std::runtime_error("Invalid diff: tool call mismatch!"); + // Allow tool name to change during incremental parsing: + // - empty -> non-empty (initial discovery) + // - prefix -> longer string (name grows as more input is parsed) + if (pref.name != newf.name && !pref.name.empty() && !newf.name.empty()) { + // Check if one is a prefix of the other (for incremental parsing where names grow or shrink) + bool is_prefix = (newf.name.rfind(pref.name, 0) == 0); + if (!is_prefix) { + LOG_ERR("Tool call mismatch: prev='%s' new='%s'\n", pref.name.c_str(), newf.name.c_str()); + throw std::runtime_error("Invalid diff: tool call mismatch!"); + } } const auto args_diff = string_diff(pref.arguments, newf.arguments); - if (!args_diff.empty() || pref.id != newf.id) { - auto & diff = diffs.emplace_back(); + if (!args_diff.empty() || pref.id != newf.id || pref.name != newf.name) { + auto & diff = diffs.emplace_back(); diff.tool_call_index = idx; - if (pref.id != newf.id) { - diff.tool_call_delta.id = newf.id; + if (pref.id != newf.id || pref.name != newf.name) { + diff.tool_call_delta.id = newf.id; diff.tool_call_delta.name = newf.name; } diff.tool_call_delta.arguments = args_diff; } } for (size_t idx = msg_prv.tool_calls.size(); idx < msg_new.tool_calls.size(); ++idx) { - auto & diff = diffs.emplace_back(); + auto & diff = diffs.emplace_back(); diff.tool_call_index = idx; diff.tool_call_delta = msg_new.tool_calls[idx]; } @@ -184,94 +216,14 @@ std::vector common_chat_msg_diff::compute_diffs(const comm using chat_template_caps = jinja::caps; -struct common_chat_template { - jinja::program prog; - std::string bos_tok; - std::string eos_tok; - std::string src; - chat_template_caps caps; - - common_chat_template(const std::string & src, const std::string & bos_token, const std::string & eos_token) { - jinja::lexer lexer; - auto lexer_res = lexer.tokenize(src); - this->prog = jinja::parse_from_tokens(lexer_res); - - this->src = lexer_res.source; - this->bos_tok = bos_token; - this->eos_tok = eos_token; - - this->caps = jinja::caps_get(prog); - // LOG_INF("%s: caps:\n%s\n", __func__, this->caps.to_string().c_str()); - } - - const std::string & source() const { return src; } - const std::string & bos_token() const { return bos_tok; } - const std::string & eos_token() const { return eos_tok; } - - // TODO: this is ugly, refactor it somehow - json add_system(const json & messages, const std::string & system_prompt) const { - GGML_ASSERT(messages.is_array()); - auto msgs_copy = messages; - if (!caps.supports_system_role) { - if (msgs_copy.empty()) { - msgs_copy.insert(msgs_copy.begin(), json{ - {"role", "user"}, - {"content", system_prompt} - }); - } else { - auto & first_msg = msgs_copy[0]; - if (!first_msg.contains("content")) { - first_msg["content"] = ""; - } - first_msg["content"] = system_prompt + "\n\n" - + first_msg["content"].get(); - } - } else { - if (msgs_copy.empty() || msgs_copy[0].at("role") != "system") { - msgs_copy.insert(msgs_copy.begin(), json{ - {"role", "system"}, - {"content", system_prompt} - }); - } else if (msgs_copy[0].at("role") == "system") { - msgs_copy[0]["content"] = system_prompt; - } - } - return msgs_copy; - } - - chat_template_caps original_caps() const { - return caps; - } - -}; - struct common_chat_templates { bool add_bos; bool add_eos; - bool has_explicit_template; // Model had builtin template or template overridde was specified. - std::unique_ptr template_default; // always set (defaults to chatml) + bool has_explicit_template; // Model had builtin template or template overridde was specified. + std::unique_ptr template_default; // always set (defaults to chatml) std::unique_ptr template_tool_use; }; -struct templates_params { - json messages; - json tools; - common_chat_tool_choice tool_choice; - json json_schema; - bool parallel_tool_calls; - common_reasoning_format reasoning_format; - bool stream; - std::string grammar; - bool add_generation_prompt = true; - bool enable_thinking = true; - std::chrono::system_clock::time_point now = std::chrono::system_clock::now(); - json extra_context; - bool add_bos; - bool add_eos; - bool is_inference = true; - bool mark_input = true; // whether to mark input strings in the jinja context -}; - common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::string & tool_choice) { if (tool_choice == "auto") { return COMMON_CHAT_TOOL_CHOICE_AUTO; @@ -286,23 +238,24 @@ common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::strin } bool common_chat_templates_support_enable_thinking(const common_chat_templates * chat_templates) { - common_chat_templates_inputs dummy_inputs; + common_chat_templates_inputs inputs; + inputs.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; common_chat_msg msg; - msg.role = "user"; + msg.role = "user"; msg.content = "test"; - dummy_inputs.messages = {msg}; - dummy_inputs.enable_thinking = false; - const auto rendered_no_thinking = common_chat_templates_apply(chat_templates, dummy_inputs); - dummy_inputs.enable_thinking = true; - const auto rendered_with_thinking = common_chat_templates_apply(chat_templates, dummy_inputs); - return rendered_no_thinking.prompt != rendered_with_thinking.prompt; + inputs.messages = { msg }; + inputs.enable_thinking = true; + inputs.add_generation_prompt = true; + inputs.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; + + auto params = common_chat_templates_apply(chat_templates, inputs); + return params.supports_thinking; } std::vector common_chat_msgs_parse_oaicompat(const json & messages) { std::vector msgs; try { - if (!messages.is_array()) { throw std::invalid_argument("Expected 'messages' to be an array, got " + messages.dump()); } @@ -318,7 +271,7 @@ std::vector common_chat_msgs_parse_oaicompat(const json & messa } msg.role = message.at("role"); - auto has_content = message.contains("content"); + auto has_content = message.contains("content"); auto has_tool_calls = message.contains("tool_calls"); if (has_content) { const auto & content = message.at("content"); @@ -339,7 +292,9 @@ std::vector common_chat_msgs_parse_oaicompat(const json & messa msg.content_parts.push_back(msg_part); } } else if (!content.is_null()) { - throw std::invalid_argument("Invalid 'content' type: expected string or array, got " + content.dump() + " (ref: https://github.com/ggml-org/llama.cpp/issues/8367)"); + throw std::invalid_argument("Invalid 'content' type: expected string or array, got " + + content.dump() + + " (ref: https://github.com/ggml-org/llama.cpp/issues/8367)"); } } if (has_tool_calls) { @@ -359,8 +314,13 @@ std::vector common_chat_msgs_parse_oaicompat(const json & messa if (!fc.contains("name")) { throw std::invalid_argument("Missing tool call name: " + tool_call.dump()); } - tc.name = fc.at("name"); - tc.arguments = fc.at("arguments"); + tc.name = fc.at("name"); + const auto & args = fc.at("arguments"); + if (args.is_string()) { + tc.arguments = args; + } else { + tc.arguments = args.dump(); + } if (tool_call.contains("id")) { tc.id = tool_call.at("id"); } @@ -368,7 +328,9 @@ std::vector common_chat_msgs_parse_oaicompat(const json & messa } } if (!has_content && !has_tool_calls) { - throw std::invalid_argument("Expected 'content' or 'tool_calls' (ref: https://github.com/ggml-org/llama.cpp/issues/8367 & https://github.com/ggml-org/llama.cpp/issues/12279)"); + throw std::invalid_argument( + "Expected 'content' or 'tool_calls' (ref: https://github.com/ggml-org/llama.cpp/issues/8367 & " + "https://github.com/ggml-org/llama.cpp/issues/12279)"); } if (message.contains("reasoning_content")) { msg.reasoning_content = message.at("reasoning_content"); @@ -474,12 +436,13 @@ json common_chat_tools_to_json_oaicompat(const std::vector & t auto result = json::array(); for (const auto & tool : tools) { result.push_back({ - {"type", "function"}, - {"function", { - {"name", tool.name}, - {"description", tool.description}, - {"parameters", json::parse(tool.parameters)}, - }}, + { "type", "function" }, + { "function", + { + { "name", tool.name }, + { "description", tool.description }, + { "parameters", json::parse(tool.parameters) }, + } }, }); } return result; @@ -497,16 +460,20 @@ json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff) { json tool_call; tool_call["index"] = diff.tool_call_index; if (!diff.tool_call_delta.id.empty()) { - tool_call["id"] = diff.tool_call_delta.id; + tool_call["id"] = diff.tool_call_delta.id; tool_call["type"] = "function"; } - json function = json::object(); - if (!diff.tool_call_delta.name.empty()) { - function["name"] = diff.tool_call_delta.name; + if (!diff.tool_call_delta.name.empty() || !diff.tool_call_delta.arguments.empty()) { + json function = json::object(); + if (!diff.tool_call_delta.name.empty()) { + function["name"] = diff.tool_call_delta.name; + } + if (!diff.tool_call_delta.arguments.empty()) { + function["arguments"] = diff.tool_call_delta.arguments; + } + tool_call["function"] = function; } - function["arguments"] = diff.tool_call_delta.arguments; - tool_call["function"] = function; - delta["tool_calls"] = json::array({tool_call}); + delta["tool_calls"] = json::array({ tool_call }); } return delta; } @@ -515,13 +482,13 @@ bool common_chat_verify_template(const std::string & tmpl, bool use_jinja) { if (use_jinja) { try { common_chat_msg msg; - msg.role = "user"; + msg.role = "user"; msg.content = "test"; auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl); common_chat_templates_inputs inputs; - inputs.messages = {msg}; + inputs.messages = { msg }; common_chat_templates_apply(tmpls.get(), inputs); return true; @@ -530,28 +497,28 @@ bool common_chat_verify_template(const std::string & tmpl, bool use_jinja) { return false; } } - llama_chat_message chat[] = {{"user", "test"}}; + llama_chat_message chat[] = { + { "user", "test" } + }; const int res = llama_chat_apply_template(tmpl.c_str(), chat, 1, true, nullptr, 0); return res >= 0; } -std::string common_chat_format_single( - const struct common_chat_templates * tmpls, - const std::vector & past_msg, - const common_chat_msg & new_msg, - bool add_ass, - bool use_jinja) { - +std::string common_chat_format_single(const struct common_chat_templates * tmpls, + const std::vector & past_msg, + const common_chat_msg & new_msg, + bool add_ass, + bool use_jinja) { common_chat_templates_inputs inputs; inputs.use_jinja = use_jinja; - inputs.add_bos = tmpls->add_bos; - inputs.add_eos = tmpls->add_eos; + inputs.add_bos = tmpls->add_bos; + inputs.add_eos = tmpls->add_eos; std::string fmt_past_msg; if (!past_msg.empty()) { - inputs.messages = past_msg; + inputs.messages = past_msg; inputs.add_generation_prompt = false; - fmt_past_msg = common_chat_templates_apply(tmpls, inputs).prompt; + fmt_past_msg = common_chat_templates_apply(tmpls, inputs).prompt; } std::ostringstream ss; // if the past_msg ends with a newline, we must preserve it in the formatted version @@ -561,37 +528,39 @@ std::string common_chat_format_single( // format chat with new_msg inputs.messages.push_back(new_msg); inputs.add_generation_prompt = add_ass; - auto fmt_new_msg = common_chat_templates_apply(tmpls, inputs).prompt; + auto fmt_new_msg = common_chat_templates_apply(tmpls, inputs).prompt; // get the diff part ss << fmt_new_msg.substr(fmt_past_msg.size(), fmt_new_msg.size() - fmt_past_msg.size()); return ss.str(); } -std::string common_chat_format_example(const struct common_chat_templates * tmpls, bool use_jinja, const std::map & chat_template_kwargs) { +std::string common_chat_format_example(const struct common_chat_templates * tmpls, + bool use_jinja, + const std::map & chat_template_kwargs) { common_chat_templates_inputs inputs; - inputs.use_jinja = use_jinja; - inputs.add_bos = tmpls->add_bos; - inputs.add_eos = tmpls->add_eos; + inputs.use_jinja = use_jinja; + inputs.add_bos = tmpls->add_bos; + inputs.add_eos = tmpls->add_eos; inputs.chat_template_kwargs = chat_template_kwargs; - auto add_simple_msg = [&](auto role, auto content) { + auto add_simple_msg = [&](auto role, auto content) { common_chat_msg msg; - msg.role = role; + msg.role = role; msg.content = content; inputs.messages.push_back(msg); }; - add_simple_msg("system", "You are a helpful assistant"); - add_simple_msg("user", "Hello"); + add_simple_msg("system", "You are a helpful assistant"); + add_simple_msg("user", "Hello"); add_simple_msg("assistant", "Hi there"); - add_simple_msg("user", "How are you?"); + add_simple_msg("user", "How are you?"); return common_chat_templates_apply(tmpls, inputs).prompt; } -#define CHATML_TEMPLATE_SRC \ - "{%- for message in messages -%}\n" \ +#define CHATML_TEMPLATE_SRC \ + "{%- for message in messages -%}\n" \ " {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' -}}\n" \ - "{%- endfor -%}\n" \ - "{%- if add_generation_prompt -%}\n" \ - " {{- '<|im_start|>assistant\n' -}}\n" \ + "{%- endfor -%}\n" \ + "{%- if add_generation_prompt -%}\n" \ + " {{- '<|im_start|>assistant\n' -}}\n" \ "{%- endif -%}" void common_chat_templates_free(struct common_chat_templates * tmpls) { @@ -609,19 +578,16 @@ std::string common_chat_templates_source(const struct common_chat_templates * tm return tmpls->template_tool_use->source(); } return ""; - } else { - LOG_DBG("%s: unknown template variant: %s\n", __func__, variant.c_str()); } + LOG_DBG("%s: unknown template variant: %s\n", __func__, variant.c_str()); } return tmpls->template_default->source(); } -common_chat_templates_ptr common_chat_templates_init( - const struct llama_model * model, - const std::string & chat_template_override, - const std::string & bos_token_override, - const std::string & eos_token_override) -{ +common_chat_templates_ptr common_chat_templates_init(const struct llama_model * model, + const std::string & chat_template_override, + const std::string & bos_token_override, + const std::string & eos_token_override) { std::string default_template_src; std::string template_tool_use_src; @@ -630,7 +596,7 @@ common_chat_templates_ptr common_chat_templates_init( GGML_ASSERT(model != nullptr); const auto * str = llama_model_chat_template(model, /* name */ nullptr); if (str) { - default_template_src = str; + default_template_src = str; has_explicit_template = true; } str = llama_model_chat_template(model, /* name */ "tool_use"); @@ -652,34 +618,40 @@ common_chat_templates_ptr common_chat_templates_init( // TODO @ngxson : this is a temporary hack to prevent chat template from throwing an error // Ref: https://github.com/ggml-org/llama.cpp/pull/15230#issuecomment-3173959633 if (default_template_src.find("<|channel|>") != std::string::npos - // search for the error message and patch it - && default_template_src.find("in message.content or") != std::string::npos) { + // search for the error message and patch it + && default_template_src.find("in message.content or") != std::string::npos) { string_replace_all(default_template_src, - "{%- if \"<|channel|>analysis<|message|>\" in message.content or \"<|channel|>final<|message|>\" in message.content %}", - "{%- if false %}"); + "{%- if \"<|channel|>analysis<|message|>\" in message.content or " + "\"<|channel|>final<|message|>\" in message.content %}", + "{%- if false %}"); } // TODO @aldehir : this is a temporary fix, pending Minja changes // Ref: https://github.com/ggml-org/llama.cpp/pull/17713#issuecomment-3631342664 if (default_template_src.find("[TOOL_CALLS]") != std::string::npos - // search for the error message and patch it - && default_template_src.find("if (message['content'] is none or") != std::string::npos) { + // search for the error message and patch it + && default_template_src.find("if (message['content'] is none or") != std::string::npos) { string_replace_all(default_template_src, - "{%- if (message['content'] is none or message['content'] == '' or message['content']|length == 0) and (message['tool_calls'] is not defined or message['tool_calls'] is none or message['tool_calls']|length == 0) %}", - "{%- if false %}"); + "{%- if (message['content'] is none or message['content'] == '' or " + "message['content']|length == 0) and (message['tool_calls'] is not defined or " + "message['tool_calls'] is none or message['tool_calls']|length == 0) %}", + "{%- if false %}"); } std::string token_bos = bos_token_override; std::string token_eos = eos_token_override; - bool add_bos = false; - bool add_eos = false; + bool add_bos = false; + bool add_eos = false; if (model) { - const auto * vocab = llama_model_get_vocab(model); - const auto get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) { + const auto * vocab = llama_model_get_vocab(model); + const auto get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) { if (token == LLAMA_TOKEN_NULL) { - if (default_template_src.find(jinja_variable_name) != std::string::npos - || template_tool_use_src.find(jinja_variable_name) != std::string::npos) { - LOG_WRN("common_chat_templates_init: warning: vocab does not have a %s token, jinja template won't work as intended.\n", name); + if (default_template_src.find(jinja_variable_name) != std::string::npos || + template_tool_use_src.find(jinja_variable_name) != std::string::npos) { + LOG_WRN( + "common_chat_templates_init: warning: vocab does not have a %s token, jinja template won't " + "work as intended.\n", + name); } return std::string(); } @@ -687,13 +659,13 @@ common_chat_templates_ptr common_chat_templates_init( }; token_bos = get_token(llama_vocab_bos(vocab), "BOS", "bos_token"); token_eos = get_token(llama_vocab_eos(vocab), "EOS", "eos_token"); - add_bos = llama_vocab_get_add_bos(vocab); - add_eos = llama_vocab_get_add_eos(vocab); + add_bos = llama_vocab_get_add_bos(vocab); + add_eos = llama_vocab_get_add_eos(vocab); } common_chat_templates_ptr tmpls(new common_chat_templates()); tmpls->has_explicit_template = has_explicit_template; - tmpls->add_bos = add_bos; - tmpls->add_eos = add_eos; + tmpls->add_bos = add_bos; + tmpls->add_eos = add_eos; try { tmpls->template_default = std::make_unique(default_template_src, token_bos, token_eos); } catch (const std::exception & e) { @@ -714,35 +686,12 @@ common_chat_templates_ptr common_chat_templates_init( const char * common_chat_format_name(common_chat_format format) { switch (format) { - case COMMON_CHAT_FORMAT_CONTENT_ONLY: return "Content-only"; - case COMMON_CHAT_FORMAT_GENERIC: return "Generic"; - case COMMON_CHAT_FORMAT_MISTRAL_NEMO: return "Mistral Nemo"; - case COMMON_CHAT_FORMAT_MAGISTRAL: return "Magistral"; - case COMMON_CHAT_FORMAT_LLAMA_3_X: return "Llama 3.x"; - case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS: return "Llama 3.x with builtin tools"; - case COMMON_CHAT_FORMAT_DEEPSEEK_R1: return "DeepSeek R1"; - case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: return "FireFunction v2"; - case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: return "Functionary v3.2"; - case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: return "Functionary v3.1 Llama 3.1"; - case COMMON_CHAT_FORMAT_DEEPSEEK_V3_1: return "DeepSeek V3.1"; - case COMMON_CHAT_FORMAT_HERMES_2_PRO: return "Hermes 2 Pro"; - case COMMON_CHAT_FORMAT_COMMAND_R7B: return "Command R7B"; - case COMMON_CHAT_FORMAT_GRANITE: return "Granite"; - case COMMON_CHAT_FORMAT_GPT_OSS: return "GPT-OSS"; - case COMMON_CHAT_FORMAT_SEED_OSS: return "Seed-OSS"; - case COMMON_CHAT_FORMAT_NEMOTRON_V2: return "Nemotron V2"; - case COMMON_CHAT_FORMAT_APERTUS: return "Apertus"; - case COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS: return "LFM2 with JSON tools"; - case COMMON_CHAT_FORMAT_MINIMAX_M2: return "MiniMax-M2"; - case COMMON_CHAT_FORMAT_GLM_4_5: return "GLM 4.5"; - case COMMON_CHAT_FORMAT_KIMI_K2: return "Kimi K2"; - case COMMON_CHAT_FORMAT_APRIEL_1_5: return "Apriel 1.5"; - case COMMON_CHAT_FORMAT_XIAOMI_MIMO: return "Xiaomi MiMo"; - case COMMON_CHAT_FORMAT_SOLAR_OPEN: return "Solar Open"; - case COMMON_CHAT_FORMAT_EXAONE_MOE: return "EXAONE MoE"; - case COMMON_CHAT_FORMAT_PEG_SIMPLE: return "peg-simple"; - case COMMON_CHAT_FORMAT_PEG_NATIVE: return "peg-native"; - case COMMON_CHAT_FORMAT_PEG_CONSTRUCTED: return "peg-constructed"; + case COMMON_CHAT_FORMAT_CONTENT_ONLY: + return "Content-only"; + case COMMON_CHAT_FORMAT_PEG_SIMPLE: + return "peg-simple"; + case COMMON_CHAT_FORMAT_PEG_NATIVE: + return "peg-native"; default: throw std::runtime_error("Unknown chat format"); } @@ -750,10 +699,14 @@ const char * common_chat_format_name(common_chat_format format) { const char * common_reasoning_format_name(common_reasoning_format format) { switch (format) { - case COMMON_REASONING_FORMAT_NONE: return "none"; - case COMMON_REASONING_FORMAT_AUTO: return "auto"; - case COMMON_REASONING_FORMAT_DEEPSEEK: return "deepseek"; - case COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY: return "deepseek-legacy"; + case COMMON_REASONING_FORMAT_NONE: + return "none"; + case COMMON_REASONING_FORMAT_AUTO: + return "auto"; + case COMMON_REASONING_FORMAT_DEEPSEEK: + return "deepseek"; + case COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY: + return "deepseek-legacy"; default: throw std::runtime_error("Unknown reasoning format"); } @@ -762,11 +715,14 @@ const char * common_reasoning_format_name(common_reasoning_format format) { common_reasoning_format common_reasoning_format_from_name(const std::string & format) { if (format == "none") { return COMMON_REASONING_FORMAT_NONE; - } else if (format == "auto") { + } + if (format == "auto") { return COMMON_REASONING_FORMAT_AUTO; - } else if (format == "deepseek") { + } + if (format == "deepseek") { return COMMON_REASONING_FORMAT_DEEPSEEK; - } else if (format == "deepseek-legacy") { + } + if (format == "deepseek-legacy") { return COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY; } throw std::runtime_error("Unknown reasoning format: " + format); @@ -782,7 +738,8 @@ static void foreach_function(const json & tools, const std::function & fn) { +static void foreach_parameter(const json & function, + const std::function & fn) { if (!function.contains("parameters") || !function.at("parameters").is_object()) { return; } @@ -790,7 +747,7 @@ static void foreach_parameter(const json & function, const std::function required; if (params.contains("required") && params.at("required").is_array()) { params.at("required").get_to(required); @@ -801,19 +758,19 @@ static void foreach_parameter(const json & function, const std::function & messages_override = std::nullopt, - const std::optional & tools_override = std::nullopt, - const std::optional & additional_context = std::nullopt) -{ + const autoparser::templates_params & inputs, + const std::optional & messages_override, + const std::optional & tools_override, + const std::optional & additional_context) { jinja::context ctx(tmpl.source()); nlohmann::ordered_json inp = nlohmann::ordered_json{ {"messages", messages_override.has_value() ? *messages_override : inputs.messages}, {"bos_token", tmpl.bos_token()}, {"eos_token", tmpl.eos_token()}, + {"enable_thinking", inputs.enable_thinking}, }; if (tools_override.has_value() || !inputs.tools.empty()) { inp["tools"] = tools_override.has_value() ? *tools_override : inputs.tools; @@ -839,7 +796,7 @@ static std::string apply( // render jinja::runtime runtime(ctx); const jinja::value results = runtime.execute(tmpl.prog); - auto parts = runtime.gather_string_parts(results); + auto parts = jinja::runtime::gather_string_parts(results); std::string result = parts->as_string().str(); @@ -853,265 +810,8 @@ static std::string apply( return result; } -static common_chat_params common_chat_params_init_generic(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - - auto tool_call_schemas = json::array(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - auto tool_schema = json { - {"type", "object"}, - {"properties", { - {"name", { - {"type", "string"}, - {"const", function.at("name")}, - }}, - {"arguments", function.at("parameters")}, - }}, - {"required", json::array({"name", "arguments"})}, - }; - if (function.contains("description")) { - tool_schema["description"] = function.at("description"); - } - if (inputs.parallel_tool_calls) { - tool_schema.at("properties")["id"] = { - {"type", "string"}, - {"minLength", 4}, - }; - tool_schema.at("required").push_back("id"); - } - tool_call_schemas.emplace_back(tool_schema); - }); - const auto tool_call = - inputs.parallel_tool_calls - ? json { - {"type", "object"}, - {"properties", { - {"tool_calls", { - {"type", "array"}, - {"items", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json { - {"anyOf", tool_call_schemas}, - }}, - {"minItems", 1}, - }}, - }}, - {"required", json::array({"tool_calls"})}, - } - : json { - {"type", "object"}, - {"properties", { - {"tool_call", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json { - {"anyOf", tool_call_schemas}, - }}, - }}, - {"required", json::array({"tool_call"})}, - }; - const auto schema = - inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED - ? json { - {"anyOf", json::array({ - tool_call, - { - {"type", "object"}, - {"properties", { - {"response", inputs.json_schema.is_null() - ? json {{"type", "string"}} - : inputs.json_schema - }, - }}, - {"required", json::array({"response"})}, - }, - })} - } - : tool_call; - - data.grammar_lazy = false; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - builder.add_schema("root", schema); - }); - - auto tweaked_messages = tmpl.add_system( - inputs.messages, - "Respond in JSON format, either with `tool_call` (a request to call tools) or with `response` reply to the user's request"); - - // ensure all messages has "content" field - for (auto & message : tweaked_messages) { - if (!message.contains("content") || message["content"].is_null()) { - message["content"] = ""; - } - } - - data.prompt = apply(tmpl, inputs, /* messages_override= */ tweaked_messages); - data.format = COMMON_CHAT_FORMAT_GENERIC; - return data; -} - -static common_chat_params common_chat_params_init_mistral_nemo(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - auto schemas = json::array(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - schemas.push_back({ - {"type", "object"}, - {"properties", { - // Important note: the model is probably trained to take a JSON stringified arguments value. - // It's hard to constrain that for now (while reusing the JSON schema conversion), so we're just expecting a plain object. - {"name", { - {"type", "string"}, - {"const", function.at("name")}, - }}, - {"arguments", function.at("parameters")}, - {"id", { - {"type", "string"}, - // Nemo's template expects a 9-character alphanumeric ID. - {"pattern", "^[a-zA-Z0-9]{9}$"}, - }}, - }}, - {"required", json::array({"name", "arguments", "id"})}, - }); - }); - auto schema = json { - {"type", "array"}, - {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, - {"minItems", 1}, - }; - if (!inputs.parallel_tool_calls) { - schema["maxItems"] = 1; - } - builder.add_rule("root", "\"[TOOL_CALLS]\" " + builder.add_schema("tool_calls", schema)); - }); - data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]"}); - data.preserved_tokens = { - "[TOOL_CALLS]", - }; - data.prompt = apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_MISTRAL_NEMO; - return data; -} - - -// Case-insensitive find -static size_t ifind_string(const std::string & haystack, const std::string & needle, size_t pos = 0) { - auto it = std::search( - haystack.begin() + pos, haystack.end(), - needle.begin(), needle.end(), - [](char a, char b) { return std::tolower(a) == std::tolower(b); } - ); - return (it == haystack.end()) ? std::string::npos : std::distance(haystack.begin(), it); -} - -static common_chat_params common_chat_params_init_lfm2(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - const auto is_json_schema_provided = !inputs.json_schema.is_null(); - const auto is_grammar_provided = !inputs.grammar.empty(); - const auto are_tools_provided = inputs.tools.is_array() && !inputs.tools.empty(); - - // the logic requires potentially modifying the messages - auto tweaked_messages = inputs.messages; - - auto replace_json_schema_marker = [](json & messages) -> bool { - static std::string marker1 = "force json schema.\n"; - static std::string marker2 = "force json schema."; - - if (messages.empty() || messages.at(0).at("role") != "system") { - return false; - } - - std::string content = messages.at(0).at("content"); - - for (const auto & marker : {marker1, marker2}) { - const auto pos = ifind_string(content, marker); - if (pos != std::string::npos) { - content.replace(pos, marker.length(), ""); - // inject modified content back into the messages - messages.at(0).at("content") = content; - return true; - } - } - - return false; - }; - - // Lfm2 model does not natively work with json, but can generally understand the tools structure - // - // Example of the pytorch dialog structure: - // <|startoftext|><|im_start|>system - // List of tools: <|tool_list_start|>[{"name": "get_candidate_status", "description": "Retrieves the current status of a candidate in the recruitment process", "parameters": {"type": "object", "properties": {"candidate_id": {"type": "string", "description": "Unique identifier for the candidate"}}, "required": ["candidate_id"]}}]<|tool_list_end|><|im_end|> - // <|im_start|>user - // What is the current status of candidate ID 12345?<|im_end|> - // <|im_start|>assistant - // <|tool_call_start|>[get_candidate_status(candidate_id="12345")]<|tool_call_end|>Checking the current status of candidate ID 12345.<|im_end|> - // <|im_start|>tool - // <|tool_response_start|>{"candidate_id": "12345", "status": "Interview Scheduled", "position": "Clinical Research Associate", "date": "2023-11-20"}<|tool_response_end|><|im_end|> - // <|im_start|>assistant - // The candidate with ID 12345 is currently in the "Interview Scheduled" stage for the position of Clinical Research Associate, with an interview date set for 2023-11-20.<|im_end|> - // - // For the llama server compatibility with json tools semantic, - // the client can add "Follow json schema." line into the system message prompt to force the json output. - // - if (are_tools_provided && (is_json_schema_provided || is_grammar_provided)) { - // server/utils.hpp prohibits that branch for the custom grammar anyways - throw std::runtime_error("Tools call must not use \"json_schema\" or \"grammar\", use non-tool invocation if you want to use custom grammar"); - } else if (are_tools_provided && replace_json_schema_marker(tweaked_messages)) { - LOG_INF("%s: Using tools to build a grammar\n", __func__); - - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - auto schemas = json::array(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - schemas.push_back({ - {"type", "object"}, - {"properties", { - {"name", { - {"type", "string"}, - {"const", function.at("name")}, - }}, - {"arguments", function.at("parameters")}, - }}, - {"required", json::array({"name", "arguments", "id"})}, - }); - }); - auto schema = json { - {"type", "array"}, - {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, - {"minItems", 1}, - }; - if (!inputs.parallel_tool_calls) { - schema["maxItems"] = 1; - } - - builder.add_rule("root", "\"<|tool_call_start|>\"" + builder.add_schema("tool_calls", schema) + "\"<|tool_call_end|>\""); - }); - // model has no concept of tool selection mode choice, - // if the system prompt rendered correctly it will produce a tool call - // the grammar goes inside the tool call body - data.grammar_lazy = true; - data.grammar_triggers = {{COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, "\\s*<\\|tool_call_start\\|>\\s*\\["}}; - data.preserved_tokens = {"<|tool_call_start|>", "<|tool_call_end|>"}; - data.format = COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS; - } else if (are_tools_provided && (!is_json_schema_provided && !is_grammar_provided)) { - LOG_INF("%s: Using tools without json schema or grammar\n", __func__); - // output those tokens - data.preserved_tokens = {"<|tool_call_start|>", "<|tool_call_end|>"}; - } else if (is_json_schema_provided) { - LOG_INF("%s: Using provided json schema to build a grammar\n", __func__); - data.grammar = json_schema_to_grammar(inputs.json_schema); - } else if (is_grammar_provided) { - LOG_INF("%s: Using provided grammar\n", __func__); - data.grammar = inputs.grammar; - } else { - LOG_INF("%s: Using content relying on the template\n", __func__); - } - - data.prompt = apply(tmpl, inputs, /* messages_override= */ tweaked_messages); - LOG_DBG("%s: Prompt: %s\n", __func__, data.prompt.c_str()); - - return data; -} - -static common_chat_params common_chat_params_init_ministral_3(const common_chat_template & tmpl, const struct templates_params & inputs) { +static common_chat_params common_chat_params_init_ministral_3(const common_chat_template & tmpl, + const autoparser::templates_params & inputs) { common_chat_params data; // Build up messages to follow the format: https://huggingface.co/mistralai/Ministral-3-14B-Reasoning-2512/blob/main/chat_template.jinja @@ -1129,8 +829,8 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ // If message contains `reasoning_content`, add it as a block of type `thinking` if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) { content.push_back({ - {"type", "thinking"}, - {"thinking", msg.at("reasoning_content").get()}, + { "type", "thinking" }, + { "thinking", msg.at("reasoning_content").get() }, }); } @@ -1138,8 +838,8 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ if (msg.contains("content")) { if (msg.at("content").is_string()) { content.push_back({ - {"type", "text"}, - {"text", msg.at("content").get()}, + { "type", "text" }, + { "text", msg.at("content").get() }, }); } else if (msg.at("content").is_array()) { auto blocks = msg.at("content"); @@ -1147,32 +847,35 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ } } - auto adjusted = msg; + auto adjusted = msg; adjusted["content"] = content; adjusted.erase("reasoning_content"); adjusted_messages.push_back(adjusted); } - auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; - auto include_grammar = true; + auto include_grammar = true; - data.prompt = apply(tmpl, inputs, /* messages_override = */ adjusted_messages); - data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; - data.preserved_tokens = { + data.supports_thinking = true; + data.prompt = common_chat_template_direct_apply(tmpl, inputs, /* messages_override = */ adjusted_messages); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.preserved_tokens = { "[THINK]", "[/THINK]", "[TOOL_CALLS]", "[ARGS]", }; - auto parser = build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) { - auto reasoning = extract_reasoning ? p.optional("[THINK]" + p.reasoning(p.until("[/THINK]")) + "[/THINK]") : p.eps(); + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + auto reasoning = + extract_reasoning ? p.optional("[THINK]" + p.reasoning(p.until("[/THINK]")) + "[/THINK]") : p.eps(); // Response format parser if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) { // Ministral wants to emit json surrounded by code fences - return reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema)) << "```"; + return reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema)) + << "```"; } // Tool call parser @@ -1180,17 +883,16 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ auto tool_choice = p.choice(); foreach_function(inputs.tools, [&](const json & tool) { const auto & function = tool.at("function"); - std::string name = function.at("name"); - const auto & schema = function.at("parameters"); + std::string name = function.at("name"); + const auto & schema = function.at("parameters"); - tool_choice |= p.rule("tool-" + name, - p.tool_open(p.tool_name(p.literal(name)) + "[ARGS]") - + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)) - ); + tool_choice |= + p.rule("tool-" + name, p.tool_open(p.tool_name(p.literal(name)) + "[ARGS]") + + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema))); }); - auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0; - auto max_calls = inputs.parallel_tool_calls ? -1 : 1; + auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0; + auto max_calls = inputs.parallel_tool_calls ? -1 : 1; auto tool_calls = p.trigger_rule("tool-call", p.repeat("[TOOL_CALLS]" + tool_choice, min_calls, max_calls)); return reasoning << p.content(p.until("[TOOL_CALLS]")) << tool_calls; @@ -1209,820 +911,40 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_ data.grammar = build_grammar([&](const common_grammar_builder & builder) { foreach_function(inputs.tools, [&](const json & tool) { const auto & function = tool.at("function"); - auto schema = function.at("parameters"); + auto schema = function.at("parameters"); builder.resolve_refs(schema); }); parser.build_grammar(builder, data.grammar_lazy); }); data.grammar_triggers = { - {COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]"} + { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]" } }; } return data; } -static common_chat_params common_chat_params_init_magistral(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - data.prompt = apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_MAGISTRAL; - data.preserved_tokens = { - "[THINK]", - "[/THINK]", - }; - - if (inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - auto schemas = json::array(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - schemas.push_back({ - {"type", "object"}, - {"properties", { - {"name", { - {"type", "string"}, - {"const", function.at("name")}, - }}, - {"arguments", function.at("parameters")}, - {"id", { - {"type", "string"}, - {"pattern", "^[a-zA-Z0-9]{9}$"}, - }}, - }}, - {"required", json::array({"name", "arguments", "id"})}, - }); - }); - auto schema = json { - {"type", "array"}, - {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, - {"minItems", 1}, - }; - if (!inputs.parallel_tool_calls) { - schema["maxItems"] = 1; - } - builder.add_rule("root", "\"[TOOL_CALLS]\" " + builder.add_schema("tool_calls", schema)); - }); - data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]"}); - data.preserved_tokens.push_back("[TOOL_CALLS]"); - } else { - data.grammar_lazy = false; - if (!inputs.json_schema.is_null()) { - if (!inputs.grammar.empty()) { - throw std::runtime_error("Either \"json_schema\" or \"grammar\" can be specified, but not both"); - } - data.grammar = json_schema_to_grammar(inputs.json_schema); - } else { - data.grammar = inputs.grammar; - } - } - - return data; -} - -static common_chat_params common_chat_params_init_command_r7b(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - - auto adjusted_messages = json::array(); - for (const auto & msg : inputs.messages) { - auto has_reasoning_content = msg.contains("reasoning_content") && msg.at("reasoning_content").is_string(); - auto has_tool_calls = msg.contains("tool_calls") && msg.at("tool_calls").is_array(); - if (has_reasoning_content && has_tool_calls) { - auto adjusted_message = msg; - adjusted_message["tool_plan"] = msg.at("reasoning_content"); - adjusted_message.erase("reasoning_content"); - adjusted_messages.push_back(adjusted_message); - } else { - adjusted_messages.push_back(msg); - } - } - data.prompt = apply(tmpl, inputs, /* messages_override= */ adjusted_messages); - data.format = COMMON_CHAT_FORMAT_COMMAND_R7B; - if (string_ends_with(data.prompt, "<|START_THINKING|>")) { - if (!inputs.enable_thinking) { - data.prompt += "<|END_THINKING|>"; - } else { - data.thinking_forced_open = true; - } - } else if (!inputs.enable_thinking && string_ends_with(data.prompt, "<|CHATBOT_TOKEN|>")) { - data.prompt += "<|START_THINKING|><|END_THINKING|>"; - } - - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - auto schemas = json::array(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - schemas.push_back({ - {"type", "object"}, - {"properties", { - {"tool_call_id", { - {"type", "string"}, - // Command-R's template expects an integer string. - {"pattern", "^[0-9]{1,10}$"}, - }}, - {"tool_name", { - {"type", "string"}, - {"const", function.at("name")}, - }}, - {"parameters", function.at("parameters")}, - }}, - {"required", json::array({"tool_call_id", "tool_name", "parameters"})}, - }); - }); - auto schema = json { - {"type", "array"}, - {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, - {"minItems", 1}, - }; - if (!inputs.parallel_tool_calls) { - schema["maxItems"] = 1; - } - builder.add_rule("root", - std::string(data.thinking_forced_open ? "( \"<|END_THINKING|>\" space )? " : "") + - "\"<|START_ACTION|>\" " + builder.add_schema("tool_calls", schema) + " \"<|END_ACTION|>\""); - }); - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - // If thinking_forced_open, then we capture the tag in the grammar, - // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar) - std::string(data.thinking_forced_open ? "[\\s\\S]*?(<\\|END_THINKING\\|>\\s*)" : "(?:<\\|START_THINKING\\|>[\\s\\S]*?<\\|END_THINKING\\|>\\s*)?") + - "(<\\|START_ACTION\\|>)[\\s\\S]*" - }); - data.preserved_tokens = { - "<|START_ACTION|>", - "<|END_ACTION|>", - "<|START_RESPONSE|>", - "<|END_RESPONSE|>", - "<|START_THINKING|>", - "<|END_THINKING|>", - }; - return data; -} - -static void expect_tool_parameters(const std::string & name, const json & parameters, const std::vector & expected_properties) { - if (!parameters.is_object() || !parameters.contains("type") || parameters.at("type") != "object" || !parameters.contains("properties") || !parameters.contains("required")) { - throw std::runtime_error("Parameters of tool " + name + " must be an object w/ required properties"); - } - const auto & parameters_properties = parameters.at("properties"); - const auto & parameters_required = parameters.at("required"); - for (const auto & prop : expected_properties) { - if (!parameters_properties.contains(prop)) { - throw std::runtime_error("Parameters of tool " + name + " is missing property: " + prop); // NOLINT - } - if (std::find(parameters_required.begin(), parameters_required.end(), json(prop)) == parameters_required.end()) { - throw std::runtime_error("Parameters of tool " + name + " must have property marked as required: " + prop); // NOLINT - } - } - if (parameters_properties.size() != expected_properties.size()) { - throw std::runtime_error("Parameters of tool " + name + " must only have these properties:" + string_join(expected_properties, ", ")); - } -} - -static common_chat_params common_chat_params_init_llama_3_x(const common_chat_template & tmpl, const struct templates_params & inputs, bool allow_python_tag_builtin_tools) { - auto builtin_tools = json::array(); - common_chat_params data; - if (!inputs.tools.is_null()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector tool_rules; - - auto handle_builtin_tool = [&](const std::string & name, const json & parameters) { - if (name == "wolfram_alpha" || name == "web_search" || name == "brave_search") { - // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py - // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py - expect_tool_parameters(name, parameters, {"query"}); - } else if (name == "python" || name == "code_interpreter") { - // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/inline/tool_runtime/code_interpreter/code_interpreter.py - expect_tool_parameters(name, parameters, {"code"}); - } else { - return false; - } - - std::vector kvs; - for (const auto & [key, value] : parameters.at("properties").items()) { - kvs.push_back("\"" + key + "=\" " + builder.add_schema(name + "-args-" + key, value)); // NOLINT - } - - tool_rules.push_back( - builder.add_rule( - name + "-call", - "\"<|python_tag|>" + name + ".call(\" " + string_join(kvs, " \", \" ") + " \")\"")); - builtin_tools.push_back(name); - - return true; - }; - - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - - // https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/remote/tool_runtime - if (allow_python_tag_builtin_tools) { - handle_builtin_tool(name, parameters); - } - tool_rules.push_back( - builder.add_rule( - name + "-call", - "\"{\" space " - "( \"\\\"type\\\"\" space \":\" space \"\\\"function\\\"\" space \",\" space )? " - " \"\\\"name\\\"\" space \":\" space \"\\\"" + name + "\\\"\" space \",\" space " - " \"\\\"parameters\\\"\" space \":\" space " + builder.add_schema(name + "-args", parameters) + " " - "\"}\" space")); - }); - // Small models may hallucinate function names so we match anything (*at the start*) that looks like the JSON of a function call, regardless of the name. - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - "(\\{\\s*(?:\"type\"\\s*:\\s*\"function\"\\s*,\\s*)?\"name\"\\s*:\\s*\")[\\s\\S]*", // + name + "\"[\\s\\S]*", - }); - if (!builtin_tools.empty()) { - data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|python_tag|>"}); - data.preserved_tokens.push_back("<|python_tag|>"); - } - // Allow a few empty lines on top of the usual constrained json schema space rule. - builder.add_rule("root", string_join(tool_rules, " | ")); - data.additional_stops.push_back("<|eom_id|>"); - }); - data.format = allow_python_tag_builtin_tools && !builtin_tools.empty() - ? COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS - : COMMON_CHAT_FORMAT_LLAMA_3_X; - } else { - data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - } - data.prompt = apply(tmpl, inputs, /* messages_override =*/ std::nullopt, /* tools_override= */ std::nullopt, json { - {"date_string", format_time(inputs.now, "%d %b %Y")}, - {"tools_in_user_message", false}, - {"builtin_tools", builtin_tools}, - }); - return data; -} - -static common_chat_params common_chat_params_init_nemotron_v2(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - - // Generate the prompt using the apply() function with the template - data.prompt = apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_NEMOTRON_V2; - - // Handle thinking tags appropriately based on inputs.enable_thinking - if (string_ends_with(data.prompt, "\n")) { - if (!inputs.enable_thinking) { - data.prompt += ""; - } else { - data.thinking_forced_open = true; - } - } - - // When tools are present, build grammar for the format, similar to CommandR, but without tool call ID - if (!inputs.tools.is_null() && inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = true; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - auto schemas = json::array(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - schemas.push_back({ - { "type", "object" }, - { "properties", - { - { "name", - { - { "type", "string" }, - { "const", function.at("name") }, - } }, - { "arguments", function.at("parameters") }, - } }, - { "required", json::array({ "name", "arguments" }) }, - }); - }); - auto schema = json{ - { "type", "array" }, - { "items", schemas.size() == 1 ? schemas[0] : json{ { "anyOf", schemas } } }, - { "minItems", 1 }, - }; - if (!inputs.parallel_tool_calls) { - schema["maxItems"] = 1; - } - builder.add_rule("root", - std::string(data.thinking_forced_open ? "( \"\" space )? " : "") + - "\"\" " + builder.add_schema("tool_calls", schema) + - " \"\""); - }); - data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - // If thinking_forced_open, then we capture the tag in the grammar, - // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar) - std::string(data.thinking_forced_open ? - "[\\s\\S]*?(\\s*)" : - "(?:[\\s\\S]*?\\s*)?") + - "()[\\s\\S]*" }); - } - return data; -} - -static common_chat_params common_chat_params_init_qwen3_coder(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - - data.prompt = apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_PEG_CONSTRUCTED; - - // Nemotron Nano 3 and Step-3.5-Flash use the Qwen3 Coder tool calling with thinking - bool supports_reasoning = (tmpl.source().find("") != std::string::npos); - - // Handle thinking tags appropriately based on inputs.enable_thinking - if (supports_reasoning && string_ends_with(data.prompt, "\n")) { - if (!inputs.enable_thinking) { - data.prompt += ""; - } else { - data.thinking_forced_open = true; - } - } - - data.preserved_tokens = { - "", - "", - }; - - if (supports_reasoning) { - data.preserved_tokens.insert(data.preserved_tokens.end(), {"", ""}); - } - - auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); - auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; - auto include_grammar = true; - - auto parser = build_chat_peg_constructed_parser([&](auto & p) { - auto reasoning = p.eps(); - if (supports_reasoning && inputs.enable_thinking && extract_reasoning) { - auto reasoning_content = p.reasoning(p.until("")) + ("" | p.end()); - if (data.thinking_forced_open) { - reasoning = reasoning_content; - } - } - - // Response format parser - if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) { - return reasoning << p.content(p.schema(p.json(), "response-format", inputs.json_schema)); - } - - // Tool call parser - if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) { - auto tool_choice = p.choice(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - - auto schema_info = common_schema_info(); - schema_info.resolve_refs(parameters); - - auto tool_open = "\n"; - auto tool_close = p.literal("\n"); - auto args = p.sequence(); - auto arg_string = p.rule("xml-arg-string", p.until_one_of({ - "\n", - "\n" - })); - - foreach_parameter(function, [&](const auto & param_name, const json & param_schema, bool is_required) { - auto rule_name = "tool-" + name + "-arg-" + param_name; - - auto arg_open = "\n"; - auto arg_close = p.literal("\n"); - auto arg_value = p.eps(); - - if (schema_info.resolves_to_string(param_schema)) { - arg_value = p.tool_arg_string_value(arg_string) + "\n"; - } else { - arg_value = p.tool_arg_json_value(p.schema(p.json(), rule_name + "-schema", param_schema)); - } - - // Model may or my not close with - auto arg_rule = p.rule(rule_name, p.tool_arg_open(arg_open) + arg_value + p.optional(p.tool_arg_close(arg_close))); - args += p.repeat(arg_rule, /* min = */ is_required ? 1 : 0, /* max = */ 1); - }); - - tool_choice |= p.rule("tool-" + name, p.tool_open(tool_open) + args + p.tool_close(tool_close)); - }); - - auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0; - auto max_calls = inputs.parallel_tool_calls ? -1 : 1; - auto tool_call = p.rule("tool-call", "\n" + tool_choice + "" + p.space()); - auto tool_calls = p.trigger_rule("tool-call-root", p.repeat(tool_call, /* min = */ min_calls, /* max = */ max_calls)); - - return reasoning << p.content(p.until("")) << tool_calls; - } - - // Content only parser - include_grammar = false; - return reasoning << p.content(p.rest()); - }); - - data.parser = parser.save(); - - if (include_grammar) { - data.grammar_lazy = has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; - - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - auto schema = function.at("parameters"); - builder.resolve_refs(schema); - }); - parser.build_grammar(builder, data.grammar_lazy); - }); - - data.grammar_triggers = { - {COMMON_GRAMMAR_TRIGGER_TYPE_WORD, ""} - }; - } - - return data; -} - - -static common_chat_params common_chat_params_init_apertus(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - - // Generate the prompt using the apply() function with the template - data.prompt = apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_APERTUS; - - // Handle thinking tags appropriately based on inputs.enable_thinking - if (string_ends_with(data.prompt, "<|inner_prefix|>")) { - if (!inputs.enable_thinking) { - data.prompt += "<|inner_suffix|>"; - } else { - data.thinking_forced_open = true; - } - } - - // When tools are present, build grammar for the <|tools_prefix|> format - if (!inputs.tools.is_null() && inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = true; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - auto schemas = json::array(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - schemas.push_back({ - { "type", "object" }, - { "properties", - { - { function.at("name"), function.at("parameters") } - } }, - { "required", json::array({ function.at("name") }) }, - }); - }); - auto schema = json{ - { "type", "array" }, - { "items", schemas.size() == 1 ? schemas[0] : json{ { "anyOf", schemas } } }, - { "minItems", 1 }, - }; - if (!inputs.parallel_tool_calls) { - schema["maxItems"] = 1; - } - builder.add_rule("root", - std::string(data.thinking_forced_open ? "( \"<|inner_suffix|>\" space )? " : "") + - "\"<|tools_prefix|>\"" + builder.add_schema("tool_calls", schema) + "\"<|tools_suffix|>\""); - }); - data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - // If thinking_forced_open, then we capture the <|inner_suffix|> tag in the grammar, - // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar) - std::string(data.thinking_forced_open ? - "[\\s\\S]*?(<\\|inner_suffix\\|>\\s*)" : - "(?:<\\|inner_prefix\\|>[\\s\\S]*?<\\|inner_suffix\\|>\\s*)?") + - "(<\\|tools_prefix\\|>)[\\s\\S]*" }); - data.preserved_tokens = { - "<|system_start|>", - "<|system_end|>", - "<|developer_start|>", - "<|developer_end|>", - "<|user_start|>", - "<|user_end|>", - "<|assistant_start|>", - "<|assistant_end|>", - "<|inner_prefix|>", - "<|inner_suffix|>", - "<|tools_prefix|>", - "<|tools_suffix|>", - }; - } - return data; -} - -static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - auto prompt = apply(tmpl, inputs); - - // Hacks to fix the official (broken) prompt. - // It is advisable to use --chat-template-file models/templates/llama-cpp-deepseek-r1.jinja instead, - // until the official template is fixed. - if (tmpl.source().find("{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}") != std::string::npos) { - // Don't leave the chat dangling after tool results - if (string_ends_with(prompt, "<｜tool▁outputs▁end｜>")) { - prompt += "<｜end▁of▁sentence｜>"; - if (inputs.add_generation_prompt) { - prompt += "<｜Assistant｜>"; - } - } - // Fix up tool call delta example added by Minja - prompt = std::regex_replace( - prompt, - std::regex("(<｜tool▁call▁end｜>)[\\s\\r\\n]*(<｜tool▁outputs▁begin｜>|<｜User｜>)"), - "$1<｜tool▁calls▁end｜><｜end▁of▁sentence｜>$2"); - } - data.prompt = prompt; - data.format = COMMON_CHAT_FORMAT_DEEPSEEK_R1; - if (string_ends_with(data.prompt, "\n")) { - if (!inputs.enable_thinking) { - data.prompt += ""; - } else { - data.thinking_forced_open = true; - } - } - - if (inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED && inputs.json_schema.is_null(); - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector tool_rules; - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - tool_rules.push_back(builder.add_rule(name + "-call", - "( \"<｜tool▁call▁begin｜>\" )? \"function<｜tool▁sep｜>" + name + "\\n" - "```json\\n\" " + builder.add_schema(name + "-args", parameters) + " " - "\"```<｜tool▁call▁end｜>\"")); - }); - // Distill Qwen 7B & 32B models seem confused re/ syntax of their tool call opening tag, - // so we accept common variants (then it's all constrained) - builder.add_rule("root", - std::string(data.thinking_forced_open ? "( \"\" space )? " : "") + - "( \"<｜tool▁calls▁begin｜>\" | \"<｜tool_calls_begin｜>\" | \"<｜tool calls begin｜>\" | \"<｜tool\\\\_calls\\\\_begin｜>\" | \"<｜tool▁calls｜>\" ) " - "(" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " " - "\"<｜tool▁calls▁end｜>\"" - " space"); - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - // If thinking_forced_open, then we capture the tag in the grammar, - // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar) - std::string(data.thinking_forced_open ? "[\\s\\S]*?(\\s*)" : "(?:[\\s\\S]*?\\s*)?") + - "(<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)[\\s\\S]*" - }); - data.preserved_tokens = { - "", - "", - "<｜tool▁calls▁begin｜>", - "<｜tool▁call▁begin｜>", - "<｜tool▁sep｜>", - "<｜tool▁call▁end｜>", - "<｜tool▁calls▁end｜", - }; - }); - } - return data; -} - -static common_chat_params common_chat_params_init_deepseek_v3_1(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - - // Pass thinking context for DeepSeek V3.1 template - json additional_context = { - {"thinking", inputs.enable_thinking}, - }; - - auto prompt = apply(tmpl, inputs, - /* messages_override= */ inputs.messages, - /* tools_override= */ std::nullopt, - additional_context); - data.prompt = prompt; - data.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - if (string_ends_with(data.prompt, "")) { - if (!inputs.enable_thinking) { - data.prompt += ""; - } else { - data.thinking_forced_open = true; - } - } - if (inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED && inputs.json_schema.is_null(); - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector tool_rules; - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - tool_rules.push_back(builder.add_rule(name + "-call", - "( \"<｜tool▁call▁begin｜>\" )? \"" + name + "<｜tool▁sep｜>" - "\" " + builder.add_schema(name + "-args", parameters) + " " - "\"<｜tool▁call▁end｜>\"")); - }); - // Distill Qwen 7B & 32B models seem confused re/ syntax of their tool call opening tag, - // so we accept common variants (then it's all constrained) - builder.add_rule("root", - std::string(data.thinking_forced_open ? "( \"\" space )? " : "") + - "( \"<｜tool▁calls▁begin｜>\" | \"<｜tool_calls_begin｜>\" | \"<｜tool calls begin｜>\" | \"<｜tool\\\\_calls\\\\_begin｜>\" | \"<｜tool▁calls｜>\" ) " - "(" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " " - "\"<｜tool▁calls▁end｜>\"" - " space"); - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - // If thinking_forced_open, then we capture the tag in the grammar, - // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar) - std::string(data.thinking_forced_open ? "[\\s\\S]*?(\\s*)" : "(?:[\\s\\S]*?\\s*)?") + - "(<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)[\\s\\S]*" - }); - data.preserved_tokens = { - "", - "", - "<｜tool▁calls▁begin｜>", - "<｜tool▁call▁begin｜>", - "<｜tool▁sep｜>", - "<｜tool▁call▁end｜>", - "<｜tool▁calls▁end｜>", - }; - }); - } - return data; -} - -static common_chat_params common_chat_params_init_minimax_m2(const common_chat_template & tmpl, const struct templates_params & params) { - common_chat_params data; - data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - - data.prompt = apply(tmpl, params); - data.format = COMMON_CHAT_FORMAT_MINIMAX_M2; - - // Handle thinking tags based on prompt ending - if (string_ends_with(data.prompt, "\n")) { - if (!params.enable_thinking) { - // Close the thinking tag immediately if thinking is disabled - data.prompt += "\n\n"; - } else { - // Mark thinking as forced open (template started with ) - data.thinking_forced_open = true; - } - } - - // Preserve MiniMax-M2 special tokens - data.preserved_tokens = { - "", - "", - "", - "", - }; - - // build grammar for tool call - static const xml_tool_call_format form { - /* form.scope_start = */ "\n", - /* form.tool_start = */ "\n", - /* form.key_start = */ "", - /* form.val_end = */ "\n", - /* form.tool_end = */ "\n", - /* form.scope_end = */ "", - }; - build_grammar_xml_tool_call(data, params.tools, form); - - return data; -} - -static common_chat_params common_chat_params_init_kimi_k2(const common_chat_template & tmpl, const struct templates_params & params) { - common_chat_params data; - data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - - data.prompt = apply(tmpl, params); - data.format = COMMON_CHAT_FORMAT_KIMI_K2; - - data.preserved_tokens = { - "", - "", - "<|tool_calls_section_begin|>", - "<|tool_call_begin|>", - "<|tool_call_argument_begin|>", - "<|tool_call_end|>", - "<|tool_calls_section_end|>", - "<|im_end|>", - "<|im_system|>", - "<|im_middle|>", - }; - - data.additional_stops.insert(data.additional_stops.end(), { - "<|im_end|>", - "<|im_middle|>" - }); - // build grammar for tool call - static const xml_tool_call_format form = ([]() { - xml_tool_call_format form {}; - form.scope_start = "<|tool_calls_section_begin|>"; - form.tool_start = "<|tool_call_begin|>"; - form.tool_sep = "<|tool_call_argument_begin|>{"; - form.key_start = "\""; - form.key_val_sep = "\": "; - form.val_end = ", "; - form.tool_end = "}<|tool_call_end|>"; - form.scope_end = "<|tool_calls_section_end|>"; - form.raw_argval = false; - form.last_val_end = ""; - return form; - })(); - build_grammar_xml_tool_call(data, params.tools, form); - - return data; -} - -static common_chat_params common_chat_params_init_apriel_1_5(const common_chat_template & tmpl, const struct templates_params & params) { - common_chat_params data; - data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - - data.prompt = apply(tmpl, params); - data.format = COMMON_CHAT_FORMAT_APRIEL_1_5; - - data.preserved_tokens = { - "", - "", - "", - "", - }; - - // build grammar for tool call - static const xml_tool_call_format form = ([]() { - xml_tool_call_format form {}; - form.scope_start = "["; - form.tool_start = "{\"name\": \""; - form.tool_sep = "\", \"arguments\": {"; - form.key_start = "\""; - form.key_val_sep = "\": "; - form.val_end = ", "; - form.tool_end = "}, "; - form.scope_end = "]"; - form.raw_argval = false; - form.last_val_end = ""; - form.last_tool_end = "}"; - return form; - })(); - build_grammar_xml_tool_call(data, params.tools, form); - - return data; -} - -static common_chat_params common_chat_params_init_xiaomi_mimo(const common_chat_template & tmpl, const struct templates_params & params) { - common_chat_params data; - data.grammar_lazy = params.tools.is_array() && !params.tools.empty() && params.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - - data.prompt = apply(tmpl, params); - data.format = COMMON_CHAT_FORMAT_XIAOMI_MIMO; - - data.preserved_tokens = { - "", - "", - }; - - // build grammar for tool call - static const xml_tool_call_format form = ([]() { - xml_tool_call_format form {}; - form.scope_start = "\n"; - form.tool_start = "\n{\"name\": \""; - form.tool_sep = "\", \"arguments\": {"; - form.key_start = "\""; - form.key_val_sep = "\": "; - form.val_end = ", "; - form.tool_end = "}\n"; - form.scope_end = ""; - form.raw_argval = false; - form.last_val_end = ""; - return form; - })(); - build_grammar_xml_tool_call(data, params.tools, form); - - return data; -} - -static common_chat_params common_chat_params_init_gpt_oss(const common_chat_template & tmpl, const struct templates_params & inputs) { +static common_chat_params common_chat_params_init_gpt_oss(const common_chat_template & tmpl, + const autoparser::templates_params & inputs) { common_chat_params data; // Copy reasoning to the "thinking" field as expected by the gpt-oss template auto adjusted_messages = json::array(); for (const auto & msg : inputs.messages) { auto has_reasoning_content = msg.contains("reasoning_content") && msg.at("reasoning_content").is_string(); - auto has_tool_calls = msg.contains("tool_calls") && msg.at("tool_calls").is_array(); + auto has_tool_calls = msg.contains("tool_calls") && msg.at("tool_calls").is_array(); if (has_reasoning_content && has_tool_calls) { - auto adjusted_message = msg; + auto adjusted_message = msg; adjusted_message["thinking"] = msg.at("reasoning_content"); - adjusted_message.erase("content"); adjusted_messages.push_back(adjusted_message); } else { adjusted_messages.push_back(msg); } } - auto prompt = apply(tmpl, inputs, /* messages_override= */ adjusted_messages); + auto prompt = common_chat_template_direct_apply(tmpl, inputs, /* messages_override= */ adjusted_messages); // Check if we need to replace the return token with end token during // inference and without generation prompt. For more details see: @@ -2035,896 +957,323 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp } } - data.prompt = prompt; - data.format = COMMON_CHAT_FORMAT_GPT_OSS; + data.prompt = prompt; + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.supports_thinking = true; // These special tokens are required to parse properly, so we include them // even if parse_tool_calls is false. data.preserved_tokens = { - "<|channel|>", - "<|constrain|>", - "<|message|>", - "<|start|>", - "<|end|>", + "<|channel|>", "<|constrain|>", "<|message|>", "<|start|>", "<|end|>", }; - if (!inputs.json_schema.is_null()) { - data.grammar_lazy = false; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - auto schema = inputs.json_schema; - builder.resolve_refs(schema); + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; + auto include_grammar = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && has_tools; - auto not_end = builder.add_rule("not-end", - "[^<] | \"<\" [^|] | \"<|\" [^e] | \"<|e\" [^n] | \"<|en\" [^d] | \"<|end\" [^|] | \"<|end|\" [^>]"); - auto analysis = builder.add_rule("analysis", - "\"<|channel|>analysis<|message|>\" ( " + not_end + " )* \"<|end|>\""); - auto constraint = builder.add_rule("constraint", "\"<|constrain|>\"? [a-zA-Z0-9_-]+"); - auto final = builder.add_rule("final", - "\"<|channel|>final\" ( \" \" " + constraint + " )? \"<|message|>\" " + - builder.add_schema("response", schema) - ); + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + const std::string END = "<|end|>"; + const std::string START = "<|start|>"; + const std::string MESSAGE = "<|message|>"; + const std::string CHANNEL = "<|channel|>"; + const std::string CONSTRAIN = "<|constrain|>"; + const std::string START_ASSISTANT = START + "assistant"; + const std::string CHANNEL_ANALYSIS = CHANNEL + "analysis"; + const std::string CHANNEL_COMMENTARY = CHANNEL + "commentary"; + const std::string CHANNEL_FINAL = CHANNEL + "final"; - builder.add_rule("root", "( " + analysis + " \"<|start|>assistant\" )? " + final); - }); - } + auto the_end = END | p.end(); - if (inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - // tool calls can appear in commentary or analysis channels - auto channel = builder.add_rule("channel", "\"<|channel|>\" ( \"commentary\" | \"analysis\" )"); + const std::string analysis_header = CHANNEL_ANALYSIS + MESSAGE; + auto segment_content = p.until(END); + auto analysis_segment = extract_reasoning ? + p.literal(analysis_header) + p.reasoning(segment_content) + p.until(END) + the_end : + p.content(analysis_header + p.until(END) + the_end); - std::vector tool_rules_recipient_in_role; - std::vector tool_rules_recipient_in_channel; - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); + auto channel_header_content = p.until_one_of({ " to=functions.", MESSAGE }); + auto content_header = p.choice({ p.literal(CHANNEL_COMMENTARY), p.literal(CHANNEL_FINAL) }); + auto content_segment = p.rule("content-segment", content_header + channel_header_content + MESSAGE + + p.content(segment_content) + the_end); - tool_rules_recipient_in_role.push_back( - builder.add_rule(name + "-call", - "\"" + name + "\"" + channel + " \" <|constrain|>json\"? \"<|message|>\" " + - builder.add_schema(name + "-args", parameters) - ) - ); - - tool_rules_recipient_in_channel.push_back( - builder.add_rule(name + "-call", - "\"" + name + "\"" + " \" <|constrain|>json\"? \"<|message|>\" " + - builder.add_schema(name + "-args", parameters) - ) - ); - }); - - auto recipient_in_channel = builder.add_rule("recipient_in_channel", - channel + " \" to=functions.\" ( " + - string_join(tool_rules_recipient_in_channel, " | ") + " )" - ); - - if (data.grammar_lazy) { - auto recipient_in_role = builder.add_rule("recipient_in_role", - "\"<|start|>assistant\"? \" to=functions.\" ( " + - string_join(tool_rules_recipient_in_role, " | ") + " )" - ); - - builder.add_rule("root", recipient_in_role + " | " + recipient_in_channel); - } else { - auto not_end = builder.add_rule("not-end", - "[^<] | \"<\" [^|] | \"<|\" [^e] | \"<|e\" [^n] | \"<|en\" [^d] | \"<|end\" [^|] | \"<|end|\" [^>]"); - auto analysis = builder.add_rule("analysis", - "\"<|channel|>analysis<|message|>\" ( " + not_end + " )* \"<|end|>\""); - auto commentary = builder.add_rule("commentary", - "\"<|channel|>commentary<|message|>\" ( " + not_end + " )* \"<|end|>\""); - - auto recipient_in_role = builder.add_rule("recipient_in_role", - "\" to=functions.\" ( " + string_join(tool_rules_recipient_in_role, " | ") + " )" - ); - - builder.add_rule("root", - "( " + analysis + " \"<|start|>assistant\" )? " + - "( " + commentary + " \"<|start|>assistant\" )? " + - "( " + recipient_in_role + " | " + recipient_in_channel + " )" - ); - } - - // Trigger on tool calls that appear in the commentary channel - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, - "<\\|channel\\|>(?:commentary|analysis) to" - }); - - // Trigger tool calls that appear in the role section, either at the - // start or in the middle. - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - "^ to" - }); - - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, - "<\\|start\\|>assistant to" - }); - }); - } - - return data; -} - -static common_chat_params common_chat_params_init_glm_4_5(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - data.grammar_lazy = inputs.tools.is_array() && !inputs.tools.empty() && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - - std::string prompt = apply(tmpl, inputs); - - // match the existing trimming behavior - if (inputs.add_bos && string_starts_with(prompt, tmpl.bos_token())) { - prompt.erase(0, tmpl.bos_token().size()); - } - if (inputs.add_eos && string_ends_with(prompt, tmpl.eos_token())) { - prompt.erase(prompt.size() - tmpl.eos_token().size()); - } - if (string_ends_with(prompt, "")) { - if (!inputs.enable_thinking) { - prompt += ""; - } else { - data.thinking_forced_open = true; - } - } - - // add GLM preserved tokens - data.preserved_tokens = { - "<|endoftext|>", - "[MASK]", - "[gMASK]", - "[sMASK]", - "", - "", - "<|system|>", - "<|user|>", - "<|assistant|>", - "<|observation|>", - "<|begin_of_image|>", - "<|end_of_image|>", - "<|begin_of_video|>", - "<|end_of_video|>", - "<|begin_of_audio|>", - "<|end_of_audio|>", - "<|begin_of_transcription|>", - "<|end_of_transcription|>", - "<|code_prefix|>", - "<|code_middle|>", - "<|code_suffix|>", - "/nothink", - "", - "", - "", - "", - "", - "", - "", - "" - }; - - // extra GLM 4.5 stop word - data.additional_stops.insert(data.additional_stops.end(), { - "<|user|>", - "<|observation|>" - }); - - // build grammar for tool call - static const xml_tool_call_format form { - /* form.scope_start = */ "", - /* form.tool_start = */ "\n", - /* form.tool_sep = */ "\n", - /* form.key_start = */ "", - /* form.key_val_sep = */ "\n", - /* form.val_end = */ "\n", - /* form.tool_end = */ "\n", - /* form.scope_end = */ "", - }; - build_grammar_xml_tool_call(data, inputs.tools, form); - - data.prompt = prompt; - data.format = COMMON_CHAT_FORMAT_GLM_4_5; - return data; -} - -static common_chat_params common_chat_params_init_firefunction_v2(const common_chat_template & tmpl, const struct templates_params & inputs) { - LOG_DBG("%s\n", __func__); - common_chat_params data; - const std::optional additional_context = json { - {"datetime", format_time(inputs.now, "%b %d %Y %H:%M:%S GMT")}, - {"functions", json(inputs.tools.empty() ? "" : inputs.tools.dump(2))}, - }; - data.prompt = apply(tmpl, inputs, /* messages_override =*/ std::nullopt, /* tools_override =*/ std::nullopt, additional_context); - if (inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - auto schemas = json::array(); - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - schemas.push_back({ - {"type", "object"}, - {"properties", { - {"name", { - {"type", "string"}, - {"const", function.at("name")}, - }}, - {"arguments", function.at("parameters")}, - }}, - {"required", json::array({"name", "arguments", "id"})}, - }); - }); - auto schema = json { - {"type", "array"}, - {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, - {"minItems", 1}, - }; - if (!inputs.parallel_tool_calls) { - schema["maxItems"] = 1; - } - builder.add_rule("root", "\" functools\"? " + builder.add_schema("tool_calls", schema)); - }); - data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, " functools["}); - data.preserved_tokens = { - " functools[", - }; - data.format = COMMON_CHAT_FORMAT_FIREFUNCTION_V2; - } else { - data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - } - return data; -} - -static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template & tmpl, const struct templates_params & inputs) { - // >>>all\nlet's call functions>>>fn1\n{"arg1": 1...}\n>>>fn2\n{"arg1": 1...}... - // Using ">>>f1\n", ">>>f2\n"... as trigger words for the grammar - // If the function is python, we also allow raw python code (if the line after `python\n` doesn't start w/ opening `{`), which the model seems to prefer for multiline code. - common_chat_params data; - data.prompt = apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2; - if (inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector first_tool_rules; - std::vector subsequent_tool_rules; - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - std::string args_pattern = "[\\s\\S]*"; - auto args_rule = builder.add_schema(name + "-args", parameters); - if (name == "python") { - args_rule = builder.add_rule(name + "-maybe-raw-args", args_rule + " | [^{] .*"); - } else { - args_pattern = "\\{" + args_pattern; - } - auto call_rule = builder.add_rule(name + "-call", "\"" + name + "\\n\" " + args_rule); - first_tool_rules.push_back(call_rule); - if (inputs.parallel_tool_calls) { - subsequent_tool_rules.push_back(builder.add_rule(name + "-call2", "\">>>\" " + call_rule)); - } - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - "((?:[\\s\\S]+?>>>)?" + regex_escape(name) + "\n)" + args_pattern, - }); - }); - data.preserved_tokens = { - "<|end_header_id|>", - }; - auto first_rule = first_tool_rules.empty() ? "" : builder.add_rule("first_tool_call", string_join(first_tool_rules, " | ")) + " space"; - if (inputs.parallel_tool_calls) { - auto subsequent_rule = builder.add_rule("subsequent_tool_call", string_join(subsequent_tool_rules, " | ")) + " space"; - builder.add_rule("root", first_rule + " (" + subsequent_rule + ")*"); - } else { - builder.add_rule("root", first_rule); - } - - }); - } - return data; -} - -static common_chat_params common_chat_params_init_functionary_v3_1_llama_3_1(const common_chat_template & tmpl, const struct templates_params & inputs) { - // https://github.com/MeetKai/functionary/blob/main/tests/prompt_test_v3-llama3.1.txt - common_chat_params data; - - if (!inputs.tools.is_null()) { - std::string python_code_argument_name; - auto has_raw_python = false; - - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector tool_rules; - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - const auto & parameters = function.at("parameters"); - std::string name = function.at("name"); - if (name == "python" || name == "ipython") { - if (!parameters.contains("type")) { - throw std::runtime_error("Missing type in python tool"); - } - has_raw_python = true; - const auto & type = parameters.at("type"); - if (type == "object") { - auto properties = parameters.at("properties"); - for (auto it = properties.begin(); it != properties.end(); ++it) { - if (it.value().at("type") == "string") { - if (!python_code_argument_name.empty()) { - throw std::runtime_error("Multiple string arguments found in python tool"); - } - python_code_argument_name = it.key(); - } - } - if (python_code_argument_name.empty()) { - throw std::runtime_error("No string argument found in python tool"); - } - } else if (type != "string") { - throw std::runtime_error("Invalid type in python tool: " + type.dump()); - } - } - tool_rules.push_back(builder.add_rule(name + "-call", "\"\" " + builder.add_schema(name + "-args", parameters) + " \"\" space")); - }); - if (has_raw_python) { - tool_rules.push_back(builder.add_rule("python-call", "\"<|python_tag|>\" .*")); - data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|python_tag|>"}); - data.preserved_tokens.push_back("<|python_tag|>"); - } - auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " space"; - builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call); - data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "\n")) { - if (!extra_context["enable_thinking"]) { - data.prompt += ""; - } else { - data.thinking_forced_open = true; - } - } - - if (!inputs.tools.is_null()) { - // (content)?({"name": "foo", "arguments": {"a": 1}})* - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector tool_rules; - std::vector tool_call_alts; - std::vector escaped_names; - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - tool_rules.push_back(builder.add_schema(name + "-call", { - {"type", "object"}, - {"properties", json { - {"name", json {{"const", name}}}, - {"arguments", parameters}, - }}, - {"required", json::array({"name", "arguments"})}, - })); - tool_call_alts.push_back(builder.add_rule( - name + "-function-tag", - "\"\" space " + - builder.add_schema(name + "-args", parameters) + " " - "\"\" space")); - - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_WORD, - "", - }); - auto escaped_name = regex_escape(name); - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, - " alt_tags { - any_tool_call, - "\"\" space " + any_tool_call + " \"\"", - // The rest is just to accommodate common "good bad" outputs. - "\"\" space " + any_tool_call + " \"\"", - "\"\" space " + any_tool_call + " \"\"", - "\"\" space " + any_tool_call + " \"\"", - "\"\" space " + any_tool_call + " \"\"", - "\"\" space " + any_tool_call + " \"\"", - "\"\" space " + any_tool_call + " \"\"", - }; - auto wrappable_tool_call = builder.add_rule("wrappable_tool_call", "( " + string_join(alt_tags, " | ") + " ) space"); - tool_call_alts.push_back(wrappable_tool_call); - tool_call_alts.push_back( - "( \"```\\n\" | \"```json\\n\" | \"```xml\\n\" ) space " + wrappable_tool_call + " space \"```\" space "); - auto tool_call = builder.add_rule("tool_call", string_join(tool_call_alts, " | ")); - builder.add_rule("root", - std::string(data.thinking_forced_open ? "( \"\" space )? " : "") + - (inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call)); - // Trigger on some common known "good bad" outputs (only from the start and with a json that's about a specific argument name to avoid false positives) - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, - // If thinking_forced_open, then we capture the tag in the grammar, - // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar) - std::string(data.thinking_forced_open ? "(\\s*)" : "") + ( - "\\s*(" - "(?:" - "||||)?" - "\\s*\\{\\s*\"name\"\\s*:\\s*\"(?:" + string_join(escaped_names, "|") + ")\"" - ")" - ")" - ), - }); - data.preserved_tokens = { - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - "```", - "```json", - "```xml", - }; - }); - } - - return data; -} - -static common_chat_params common_chat_params_init_granite(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - - // Pass thinking context for Granite template - json additional_context = { - {"thinking", inputs.enable_thinking}, - }; - - data.prompt = apply(tmpl, inputs, /* messages_override= */ std::nullopt, /* tools_override= */ std::nullopt, additional_context); - data.format = COMMON_CHAT_FORMAT_GRANITE; - - if (string_ends_with(data.prompt, "\n") || string_ends_with(data.prompt, "")) { - if (!inputs.enable_thinking) { - data.prompt += ""; - } else { - data.thinking_forced_open = true; - } - } - - if (!inputs.tools.is_null()) { - // Granite uses <|tool_call|> followed by JSON list - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector tool_rules; - foreach_function(inputs.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - tool_rules.push_back(builder.add_rule(name + "-call", builder.add_schema(name + -"-args", { - {"type", "object"}, - {"properties", { - {"name", {{"const", name}}}, - {"arguments", parameters}, - }}, - {"required", json::array({"name", "arguments"})}, - }))); - }); - - auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | ")); - auto tool_list = builder.add_rule("tool_list", "\"[\" space " + tool_call + " (\",\" space " + tool_call + ")* space \"]\""); - - if (data.thinking_forced_open) { - builder.add_rule("root", "\"\" space \"\" space [^<]* \"\" space \"<|tool_call|>\" space " + tool_list); - } else { - builder.add_rule("root", "\"<|tool_call|>\" space " + tool_list); - } - - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_WORD, - "<|tool_call|>" - }); - - data.preserved_tokens = { - "", - "", - "", - "", - "<|tool_call|>", - }; - }); - } else { - // Handle thinking tags for non-tool responses - if (data.thinking_forced_open && inputs.enable_thinking) { - data.grammar_lazy = false; - data.grammar = build_grammar([&](const common_grammar_builder & builder) { - builder.add_rule("root", "\"\" space \"\" space .* \"\" space"); - }); - data.preserved_tokens = { - "", - "", - "", - "", - }; - } - } - - return data; -} - -static common_chat_params common_chat_params_init_solar_open(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - - // Copy `reasoning_content` to `reasoning` - auto adjusted_messages = json::array(); - for (const auto & msg : inputs.messages) { - if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) { - auto adjusted_message = msg; - adjusted_message["reasoning"] = msg.at("reasoning_content"); - adjusted_message.erase("reasoning_content"); - adjusted_messages.push_back(adjusted_message); - } else { - adjusted_messages.push_back(msg); - } - } - - auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); - auto include_grammar = true; - - auto prompt = apply(tmpl, inputs, /* messages_override= */ adjusted_messages); - - // Check if we need to replace the flush token with end token during inference and without generation prompt. - if (inputs.is_inference && !inputs.add_generation_prompt) { - static constexpr std::string_view return_token = "<|flush|>"; - static constexpr std::string_view end_token = "<|end|>"; - if (size_t pos = prompt.rfind(return_token); pos != std::string::npos) { - prompt.replace(pos, return_token.length(), end_token); - } - } - - data.prompt = prompt; - data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; - data.preserved_tokens = { - "<|think|>", - "<|content|>", - "<|begin|>", - "<|end|>", - "<|tool_calls|>", - "<|tool_call:begin|>", - "<|tool_call:end|>", - "<|tool_call:name|>", - "<|tool_call:args|>", - }; - - auto parser = build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) { - auto lit_think = p.atomic(p.literal("<|think|>")); - auto lit_assistant_begin = p.atomic(p.literal("<|begin|>assistant")); - auto lit_content = p.atomic(p.literal("<|content|>")); - auto lit_end = p.atomic(p.literal("<|end|>")); - auto parser_until_end = p.until("<|end|>"); - - // reasoning <- "<|think|>" (!"<|end|>" .)* - auto parser_reasoning = p.rule("reasoning", lit_think + p.reasoning(parser_until_end)); - - // content <- "<|content|>" (!"<|end|>" .)* - auto parser_content = p.rule("content", lit_content + p.content(parser_until_end)); - - // wrap_choice(items) <- item-choice wrapped* - // item-choice <- items[0] / ... / items[n] - // wrapped <- "<|end|><|begin|>assistant" item-choice - auto wrap_choice = [&](const std::vector & items) { - auto choice = p.choice(items); - return choice + p.zero_or_more(lit_end + lit_assistant_begin + choice); - }; - - // wrap_seq(items) <- item[0] "<|end|><|begin|>assistant" item[1] ... - auto wrap_seq = [&](const std::vector & items) { - auto seq = p.sequence(); - for (auto i = 0u; i < items.size(); i++) { - if (i == 0) { - seq += items[i]; - continue; - } - seq += lit_end + lit_assistant_begin + items[i]; - } - return seq; - }; - - // Response format parser - if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) { - auto parser_response_format = lit_content + p.content(p.schema(p.json(), "response-format", inputs.json_schema)); - return p.choice({ - wrap_seq({parser_reasoning, parser_response_format}), - wrap_seq({parser_response_format}) - }); + if (!inputs.json_schema.is_null()) { + auto final_header = p.literal(CHANNEL_FINAL); + auto constraint = p.optional(p.space() + p.literal(CONSTRAIN) + channel_header_content); + return p.optional(analysis_segment) + final_header + constraint + MESSAGE + + p.content(p.schema(p.json(), "response-format", inputs.json_schema)); } - auto lit_tool_call_begin = p.literal("<|tool_call:begin|>"); - auto lit_tool_call_name = p.literal("<|tool_call:name|>"); - auto lit_tool_call_args = p.literal("<|tool_call:args|>"); - auto lit_tool_call_end = p.literal("<|tool_call:end|>"); + auto segment = p.optional(START_ASSISTANT + p.space()) + p.choice({ content_segment, analysis_segment }); + auto contents = p.optional(segment + p.repeat(p.optional(p.space()) + segment, 0, -1)) + p.end(); // Tool call parser if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) { - auto parser_tool_call = p.choice(); + auto tool_choice = p.choice(); + foreach_function(inputs.tools, [&](const json & tool) { const auto & function = tool.at("function"); - std::string name = function.at("name"); - const auto & schema = function.at("parameters"); + std::string name = function.at("name"); + const auto & params = function.at("parameters"); - // tool(name, schema) <- name "<|tool_call:args|>" schema - parser_tool_call |= p.rule("tool-" + name, - p.atomic(p.tool_name(p.literal(name)) + lit_tool_call_args) - + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema))); + // Tool call can appear as: + // 1. In role header: " to=functions.NAME<|channel|>..." + // 2. In channel: "<|channel|>(analysis|commentary) to=functions.NAME..." + auto func_name = p.literal(" to=functions.") + p.tool_name(p.literal(name)); + + auto channel = p.literal(CHANNEL_COMMENTARY) | p.literal(CHANNEL_ANALYSIS); + auto constraint = p.space() + p.optional(p.literal(CONSTRAIN) + channel_header_content); + auto args = p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", params)); + + // Pattern 1: recipient in role header + // " to=functions.NAME<|channel|>(analysis|commentary)[constraint]<|message|>ARGS" + auto tool_in_role = p.tool(p.tool_open(func_name + channel) + constraint + MESSAGE + args); + + // Pattern 2: recipient in channel header + // "<|channel|>(analysis|commentary) to=functions.NAME[constraint]<|message|>ARGS" + auto tool_in_channel = p.tool(channel + p.tool_open(func_name + constraint + MESSAGE) + args); + + tool_choice |= tool_in_role | tool_in_channel; }); auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0; auto max_calls = inputs.parallel_tool_calls ? -1 : 1; - // tool-calls <- "<|tool_calls|>" tool-call+ - // tool-call <- "<|tool_call:begin|> call-id "<|tool_call:name|>" &([^<]+ "<|tool_call:args|>") tool-choice "<|tool_call:end|>" - // call-id <- [a-zA-Z0-9_-]+ - // tool-choice <- tool(t[0].name, t[0].schema) / ... / tool(t[n].name, t[n].schema) - auto parser_tool_calls = p.trigger_rule("tool-calls", - p.atomic(p.literal("<|tool_calls|>")) - + p.repeat( - p.tool_open( - lit_tool_call_begin - + p.tool_id(p.chars("[a-zA-Z0-9_-]", 1, -1)) - + lit_tool_call_name - + p.peek(p.chars("[^<]", 1, -1) + lit_tool_call_args)) - + parser_tool_call - + p.tool_close(lit_tool_call_end), - /* min = */ 1, - /* max = */ max_calls)); + auto role_start = p.optional(p.space() + p.literal(START_ASSISTANT)); + auto tool_call = p.rule("tool-call", p.repeat(role_start + tool_choice, min_calls, max_calls) + p.end()); - if (min_calls == 1) { - // If required, then try any combination of the reasoning, content, and tool call - return p.choice({ - wrap_seq({parser_reasoning, parser_content, parser_tool_calls}), - wrap_seq({parser_reasoning, parser_tool_calls}), - wrap_seq({parser_content, parser_tool_calls}), - wrap_seq({parser_tool_calls}) - }); - } - - return wrap_choice({parser_reasoning, parser_content, parser_tool_calls}); + return p.choice({ p.trigger_rule("single-tool", tool_call), p.trigger_rule("tools", p.one_or_more(segment) + tool_call) }); } - // Content only parser - include_grammar = false; - return wrap_choice({parser_reasoning, parser_content}); + return contents; }); data.parser = parser.save(); if (include_grammar) { data.grammar_lazy = has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; - - data.grammar = build_grammar([&](const common_grammar_builder & builder) { + data.grammar = build_grammar([&](const common_grammar_builder & builder) { foreach_function(inputs.tools, [&](const json & tool) { const auto & function = tool.at("function"); - auto schema = function.at("parameters"); + auto schema = function.at("parameters"); builder.resolve_refs(schema); }); parser.build_grammar(builder, data.grammar_lazy); }); data.grammar_triggers = { - {COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|tool_calls|>"} + { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "^(?:<\\|start\\|>assistant\\s*)?(\\s+to=functions)" }, + { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, "(?:<\\|end\\|>)(?:<\\|start\\|>assistant\\s*)?(\\s+to=functions)" }, + { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, + "(?:<\\|start\\|>assistant\\s*)?(<\\|channel\\|>(?:commentary|analysis)\\s+to=functions)" } }; } return data; } -static common_chat_params common_chat_params_init_exaone_moe(const common_chat_template & tmpl, const struct templates_params & inputs) { +// Functionary v3.2 - uses recipient-based format: >>>recipient\n{content} +static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template & tmpl, + const autoparser::templates_params & inputs) { common_chat_params data; - data.prompt = apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_EXAONE_MOE; - if (string_ends_with(data.prompt, "\n")) { - if (!inputs.enable_thinking) { - data.prompt += "\n\n"; - } else { - data.thinking_forced_open = true; - } - } + data.prompt = common_chat_template_direct_apply(tmpl, inputs); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.preserved_tokens = { + ">>>all", + }; + + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto include_grammar = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE; + + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + // Functionary v3.2 format: + // - Normal content: >>>all\n{content} + // - Tool calls: >>>function_name\n{json_args} + // Generation prompt ends with ">>>" so model outputs recipient immediately + + // Build content parser for >>>all\n{content} + // When tools are present, content stops before the next ">>>" (tool call) + // When no tools, content goes until end + auto content_until_tool = p.literal(">>>all\n") + p.content(p.until(">>>")); + auto content_until_end = p.literal(">>>all\n") + p.content(p.rest()); + + // If no tools or tool_choice is NONE, just parse content + if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) { + // When no tools, just match the prefix and capture everything after + return content_until_end + p.end(); + } + + // Build tool call parsers for each available function + auto tool_choice = p.choice(); + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool.at("function"); + std::string name = function.at("name"); + const auto & schema = function.at("parameters"); + + // Tool format: >>>function_name\n{json_args} + auto tool_parser = p.tool( + p.tool_open(p.literal(">>>") + p.tool_name(p.literal(name)) + p.literal("\n")) + + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)) + ); + + tool_choice |= p.rule("tool-" + name, tool_parser); + }); + + auto content_only = content_until_end; + auto tools_only = p.trigger_rule("tools", p.one_or_more(tool_choice)); + auto content_and_tools = content_until_tool + tools_only; + + if (inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED) { + if (inputs.parallel_tool_calls) { + return p.choice({ content_and_tools, tools_only }) + p.end(); + } + return p.choice({ content_until_tool + tool_choice, tools_only }) + p.end(); + } + if (inputs.parallel_tool_calls) { + return p.choice({ content_and_tools, content_only, tools_only }) + p.end(); + } + auto content_and_tool = content_until_tool + tool_choice; + return p.choice({ content_and_tool, content_only, tool_choice }) + p.end(); + }); + + data.parser = parser.save(); + + if (include_grammar) { + data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; - if (inputs.tools.is_array() && !inputs.tools.empty()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED && inputs.json_schema.is_null(); data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector tool_rules; foreach_function(inputs.tools, [&](const json & tool) { const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - // Expect: {"name": "", "arguments": {...}} - tool_rules.push_back(builder.add_rule( - name + "-call", - "\"\" space " + - builder.add_schema(name + "-obj", json{ - {"type", "object"}, - {"properties", { - {"name", json{{"const", name}}}, - {"arguments", parameters}, - }}, - {"required", json::array({"name", "arguments"})}, - }) + - " space \"\" space")); + auto schema = function.at("parameters"); + builder.resolve_refs(schema); }); - - auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | ")); - builder.add_rule("root", - std::string(data.thinking_forced_open ? "( \"\" space )? " : "") + - (inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call)); - - data.grammar_triggers.push_back({ - COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL, - std::string(data.thinking_forced_open ? "[\\s\\S]*?(\\s*)?" : "") + - "()[\\s\\S]*" - }); - data.preserved_tokens = { - "", - "", - "", - "", - }; + parser.build_grammar(builder, data.grammar_lazy); }); + + // Grammar trigger for when the model starts outputting a tool call + // (after the initial ">>>" in the generation prompt but recipient other than "all") + data.grammar_triggers = { + { COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN, ">>>(?!all)" } + }; } return data; } -static common_chat_params common_chat_params_init_translate_gemma(const common_chat_template & tmpl, const struct templates_params & inputs) { +// Kimi K2 Thinking - uses unique tool call ID format: functions.: +// The ID contains both the function name and an incrementing counter +static common_chat_params common_chat_params_init_kimi_k2(const common_chat_template & tmpl, + const autoparser::templates_params & inputs) { common_chat_params data; - // This template does not support tools or reasoning - // we just need to transform the messages into the correct schema + data.prompt = common_chat_template_direct_apply(tmpl, inputs); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.supports_thinking = true; + data.preserved_tokens = { + "<|tool_calls_section_begin|>", + "<|tool_calls_section_end|>", + "<|tool_call_begin|>", + "<|tool_call_argument_begin|>", + "<|tool_call_end|>", + "", + "", + }; - templates_params inputs_new = inputs; - json & messages = inputs_new.messages; + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; + auto include_grammar = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE; - // default to chat_template_kwargs, or en-GB if not specified - std::string default_src_lang = inputs.extra_context.value("source_lang_code", "en-GB"); - std::string default_tgt_lang = inputs.extra_context.value("target_lang_code", "en-GB"); + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + // Kimi K2 Thinking format: + // - Reasoning: {reasoning} + // - Content: text after reasoning + // - Tool calls section: + // <|tool_calls_section_begin|> + // <|tool_call_begin|>functions.:<|tool_call_argument_begin|>{json_args}<|tool_call_end|> + // ... + // <|tool_calls_section_end|> + // The ID format is: functions.: where counter is 0, 1, 2, ... - GGML_ASSERT(messages.is_array()); - for (auto & message : messages) { - if (message.contains("role") && message["role"].get() != "user") { - continue; + // Tool call markers + const std::string SECTION_BEGIN = "<|tool_calls_section_begin|>"; + const std::string SECTION_END = "<|tool_calls_section_end|>"; + const std::string CALL_BEGIN = "<|tool_call_begin|>"; + const std::string ARGS_BEGIN = "<|tool_call_argument_begin|>"; + const std::string CALL_END = "<|tool_call_end|>"; + + const std::string THINK_START = ""; + const std::string THINK_END = ""; + + auto end = p.end(); + + // Note: this model is CRAZY. It can diverge from its supposed tool calling pattern in so many ways it's not funny. + // For example, it can call tools at the end of reasoning without closing reasoning... + auto reasoning = extract_reasoning ? p.optional(THINK_START + p.reasoning( + p.until_one_of({ THINK_END, "<|tool_calls_section_begin|>", "<|tool_call_begin|>" })) + + p.optional(p.literal(THINK_END))) : p.eps(); + + + // Content only parser (no tools) + if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) { + return reasoning + p.content(p.rest()) + end; } - if (!message.contains("content")) { - message["content"] = json::array(); - } - if (message.contains("content") && !message["content"].is_array()) { - auto content_str = message["content"].get(); - // default to en-GB if not specified (to make common_chat_format_example works) - auto src_lang = message.contains("source_lang_code") - ? message["source_lang_code"].get() : default_src_lang; - auto tgt_lang = message.contains("target_lang_code") - ? message["target_lang_code"].get() : default_tgt_lang; - message["content"] = json::array({ - json{ - {"type", "text"}, - {"text", content_str}, - {"source_lang_code", src_lang}, - {"target_lang_code", tgt_lang}, - } - }); - } - } - data.prompt = apply(tmpl, inputs_new, std::nullopt, std::nullopt); - data.format = COMMON_CHAT_FORMAT_GENERIC; + // Build tool call parsers for each available function + // The ID format is: functions.: + // We need to match: functions.: + auto tool_choice = p.choice(); + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool.at("function"); + std::string name = function.at("name"); + const auto & schema = function.at("parameters"); - return data; -} + // Match: functions.: + // Capture the full call id (functions.:) using tool_id tag + auto tool_id = p.tool_id(p.literal("functions.") + p.tool_name(p.literal(name)) + p.literal(":") + p.chars("[0-9]", 1, -1)); + auto tool_parser = p.tool( + p.tool_open(tool_id + p.literal(ARGS_BEGIN)) + + p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)) + + p.tool_close(p.optional((p.literal(CALL_END)))) + ); -static common_chat_params common_chat_params_init_without_tools(const common_chat_template & tmpl, const struct templates_params & inputs) { - common_chat_params data; - data.prompt = apply(tmpl, inputs); - data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - data.grammar_lazy = false; - if (!inputs.json_schema.is_null()) { - if (!inputs.grammar.empty()) { - throw std::runtime_error("Either \"json_schema\" or \"grammar\" can be specified, but not both"); - } - data.grammar = json_schema_to_grammar(inputs.json_schema); - } else { - data.grammar = inputs.grammar; - } - return data; -} + tool_choice |= p.rule("tool-" + name, tool_parser); + }); -static common_chat_params common_chat_params_init_seed_oss( - const common_chat_template & tmpl, - templates_params & params, - const common_chat_templates_inputs & inputs) -{ - common_chat_params data; - data.prompt = apply(tmpl, params); - data.format = COMMON_CHAT_FORMAT_SEED_OSS; - if (string_ends_with(data.prompt, "")) { - if (!inputs.enable_thinking) { - data.prompt += ""; - } else { - data.thinking_forced_open = true; - } - } + // Tool calls section: <|tool_calls_section_begin|> tool_calls <|tool_calls_section_end|> + auto min_calls = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0; + auto max_calls = inputs.parallel_tool_calls ? -1 : 1; + // Use trigger_rule so grammar generator knows where to start generating rules + auto tool_calls = p.rule("tool-calls", + p.optional(p.literal(SECTION_BEGIN)) + + p.trigger_rule("tool-call", p.repeat(CALL_BEGIN + tool_choice, min_calls, max_calls) + + p.optional(p.literal(SECTION_END))) + ); - if (params.tools.is_array() && !params.tools.empty()) { - data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; + auto content_before_tools = p.content(p.until_one_of({ SECTION_BEGIN, CALL_BEGIN })); + + return reasoning + content_before_tools + tool_calls + end; + }); + + data.parser = parser.save(); + + if (include_grammar) { + data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; data.grammar = build_grammar([&](const common_grammar_builder & builder) { - std::vector tool_rules; - foreach_function(params.tools, [&](const json & tool) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - builder.resolve_refs(parameters); - - // Create rule for Seed-OSS function call format - std::string param_rules; - if (parameters.contains("properties")) { - for (const auto & [key, value] : parameters.at("properties").items()) { - param_rules += "\"\"" + builder.add_schema(name + "-arg-" + key, value) + - "\"\""; - } - } - - tool_rules.push_back(builder.add_rule(name + "-call", - "\"\" space \"\" space " + - param_rules + - " \"\" space \"\"")); + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool.at("function"); + auto schema = function.at("parameters"); + builder.resolve_refs(schema); }); - - data.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "" }); - - data.preserved_tokens = { - "", "", "", "", - "", "", - }; - - builder.add_rule("root", string_join(tool_rules, " | ")); + parser.build_grammar(builder, data.grammar_lazy); }); + + data.grammar_triggers = { + { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|tool_call_begin|>" } + }; } + return data; } -// various workarounds for known issues with certain templates or model behaviors -// TODO @ngxson : improve this (how?) namespace workaround { // if first message is system and template does not support it, merge it with next message @@ -2944,6 +1293,15 @@ static void system_message_not_supported(json & messages) { } } +static void requires_non_null_content(json & messages) { + GGML_ASSERT(messages.is_array()); + for (auto & message : messages) { + if (message.contains("tool_calls") && !message.contains("content")) { + message["content"] = ""; + } + } +} + static void func_args_not_string(json & messages) { GGML_ASSERT(messages.is_array()); for (auto & message : messages) { @@ -2964,71 +1322,21 @@ static void func_args_not_string(json & messages) { } } -static void move_tool_calls_to_content(json & messages, int indent_spaces = 2) { - GGML_ASSERT(messages.is_array()); - for (auto & message : messages) { - if (message.contains("tool_calls")) { - auto tool_calls_new = json{ - {"tool_calls", message.at("tool_calls")} - }; - message.erase("tool_calls"); - auto content = message.at("content"); - std::string content_new = content.is_null() ? "" : content.get(); - message["content"] = content_new + tool_calls_new.dump(indent_spaces, ' ', false, json::error_handler_t::replace); - } - } } -// TODO @ngxson : we may remove support for generic schema in the future -static void use_generic_schema(json & messages) { - GGML_ASSERT(messages.is_array()); - for (auto & message : messages) { - if (message.contains("tool_calls") && message.at("tool_calls").is_array()) { - auto & tool_calls = message.at("tool_calls"); - for (auto & tool_call : tool_calls) { - if (tool_call.contains("type") && tool_call.at("type") == "function" && - tool_call.contains("function") && tool_call.at("function").is_object()) { - // Copy values before erasing to avoid use-after-free - json name_value; - json arguments_value; - json id_value; - const auto & function = tool_call.at("function"); - if (function.contains("name")) { - name_value = function.at("name"); - } - if (function.contains("arguments")) { - arguments_value = function.at("arguments"); - } - if (tool_call.contains("id")) { - id_value = tool_call.at("id"); - } - // Now safely erase and assign in the correct order - tool_call.erase("type"); - tool_call.erase("function"); - tool_call.erase("id"); - // Reassign in desired order: name, arguments, id - if (!name_value.is_null()) { - tool_call["name"] = name_value; - } - if (!arguments_value.is_null()) { - tool_call["arguments"] = arguments_value; - } - if (!id_value.is_null()) { - tool_call["id"] = id_value; - } - } - } - } - } +static json common_chat_extra_context() { + json ctx = json::object(); + std::chrono::system_clock::time_point now = std::chrono::system_clock::now(); + std::string datetime_str = format_time(now, "%b %d %Y"); + std::string date_str = format_time(now, "%d %b %Y"); + ctx["datetime"] = datetime_str; + ctx["date_string"] = date_str; + return ctx; } -} // namespace workaround - -static common_chat_params common_chat_templates_apply_jinja( - const struct common_chat_templates * tmpls, - const struct common_chat_templates_inputs & inputs) -{ - templates_params params; +static common_chat_params common_chat_templates_apply_jinja(const struct common_chat_templates * tmpls, + const struct common_chat_templates_inputs & inputs) { + autoparser::templates_params params; params.tools = common_chat_tools_to_json_oaicompat(inputs.tools); const auto & tmpl = params.tools.is_array() && tmpls->template_tool_use ? *tmpls->template_tool_use @@ -3049,7 +1357,14 @@ static common_chat_params common_chat_templates_apply_jinja( workaround::system_message_not_supported(params.messages); } - params.extra_context = json::object(); + if (tmpl.original_caps().supports_tool_calls) { + // some templates will require the content field in tool call messages + // to still be non-null, this puts an empty string everywhere where the + // content field is null + workaround::requires_non_null_content(params.messages); + } + + params.extra_context = common_chat_extra_context(); for (auto el : inputs.chat_template_kwargs) { params.extra_context[el.first] = json::parse(el.second); } @@ -3058,229 +1373,71 @@ static common_chat_params common_chat_templates_apply_jinja( params.json_schema = json::parse(inputs.json_schema); } - if (inputs.parallel_tool_calls && !tmpl.original_caps().supports_parallel_tool_calls) { - LOG_DBG("Disabling parallel_tool_calls because the template does not support it\n"); - params.parallel_tool_calls = false; - } else { - params.parallel_tool_calls = inputs.parallel_tool_calls; - } + // if (inputs.parallel_tool_calls && !tmpl.original_caps().supports_parallel_tool_calls) { + // LOG_DBG("Disabling parallel_tool_calls because the template does not support it\n"); + // params.parallel_tool_calls = false; + // } else { + params.parallel_tool_calls = inputs.parallel_tool_calls; + //} if (params.tools.is_array()) { if (params.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && !params.grammar.empty()) { throw std::runtime_error("Cannot specify grammar with tools"); } if (caps.supports_tool_calls && !caps.supports_tools) { - LOG_WRN("Template supports tool calls but does not natively describe tools. The fallback behaviour used may produce bad results, inspect prompt w/ --verbose & consider overriding the template.\n"); + LOG_WRN( + "Template supports tool calls but does not natively describe tools. The fallback behaviour used may " + "produce bad results, inspect prompt w/ --verbose & consider overriding the template.\n"); } } - // DeepSeek V3.1: detect based on specific patterns in the template - if (src.find("message['prefix'] is defined and message['prefix'] and thinking") != std::string::npos && - params.json_schema.is_null()) { - return common_chat_params_init_deepseek_v3_1(tmpl, params); - } - - // DeepSeek R1: use handler in all cases except json schema (thinking / tools). - if (src.find("<｜tool▁calls▁begin｜>") != std::string::npos && params.json_schema.is_null()) { - return common_chat_params_init_deepseek_r1(tmpl, params); - } - - // Command R7B: : use handler in all cases except json schema (thinking / tools). - if (src.find("<|END_THINKING|><|START_ACTION|>") != std::string::npos && params.json_schema.is_null()) { - workaround::func_args_not_string(params.messages); - return common_chat_params_init_command_r7b(tmpl, params); - } - - // Granite (IBM) - detects thinking / tools support - if (src.find("elif thinking") != std::string::npos && src.find("<|tool_call|>") != std::string::npos) { - workaround::func_args_not_string(params.messages); - workaround::use_generic_schema(params.messages); - workaround::move_tool_calls_to_content(params.messages); - return common_chat_params_init_granite(tmpl, params); - } - - // GLM 4.5: detect by and tags (check before Hermes since both use ) - if (src.find("[gMASK]") != std::string::npos && - src.find("") != std::string::npos && - src.find("") != std::string::npos && - params.json_schema.is_null()) { - workaround::func_args_not_string(params.messages); - if (!params.extra_context.contains("clear_thinking")) { - // by default, do not clear reasoning_content (added since GLM-4.7) - params.extra_context["clear_thinking"] = false; - } - return common_chat_params_init_glm_4_5(tmpl, params); - } - - // Qwen3-Coder XML format detection (must come before Hermes 2 Pro) - // Detect via XML markers: , , and blocks. - // Also matches Step-3.5-Flash and Nemotron 3 Nano which use the same output format. - if (src.find("") != std::string::npos && - src.find("") != std::string::npos && - src.find("# Tools") != std::string::npos && - src.find("") != std::string::npos && - src.find("") != std::string::npos && - src.find("") != std::string::npos && - src.find("") != std::string::npos) { - return common_chat_params_init_xiaomi_mimo(tmpl, params); - } - - // EXAONE MoE format detection - if (src.find("") != std::string::npos && - src.find("") != std::string::npos && - src.find("<|tool_declare|>") != std::string::npos) { - return common_chat_params_init_exaone_moe(tmpl, params); - } - - // Hermes 2/3 Pro, Qwen 2.5 Instruct (w/ tools) - if (src.find("") != std::string::npos && params.json_schema.is_null()) { - return common_chat_params_init_hermes_2_pro(tmpl, params); - } - - // GPT-OSS - if (src.find("<|channel|>") != std::string::npos) { - return common_chat_params_init_gpt_oss(tmpl, params); - } - - // Seed-OSS - if (src.find("") != std::string::npos) { - workaround::func_args_not_string(params.messages); - return common_chat_params_init_seed_oss(tmpl, params, inputs); - } - - // Nemotron v2 - if (src.find("") != std::string::npos) { - return common_chat_params_init_nemotron_v2(tmpl, params); - } - - // Apertus format detection - if (src.find("<|system_start|>") != std::string::npos && src.find("<|tools_prefix|>") != std::string::npos) { - return common_chat_params_init_apertus(tmpl, params); - } - - // LFM2 (w/ tools) - if (src.find("List of tools: <|tool_list_start|>[") != std::string::npos && - src.find("]<|tool_list_end|>") != std::string::npos) { - return common_chat_params_init_lfm2(tmpl, params); - } - - // MiniMax-M2 format detection - if (src.find("]~!b[") != std::string::npos && src.find("]~b]") != std::string::npos) { - workaround::func_args_not_string(params.messages); - return common_chat_params_init_minimax_m2(tmpl, params); - } - - // Kimi K2 format detection - if (src.find("<|im_system|>tool_declare<|im_middle|>") != std::string::npos && - src.find("<|tool_calls_section_begin|>") != std::string::npos && - src.find("## Return of") != std::string::npos) { - return common_chat_params_init_kimi_k2(tmpl, params); - } - - // Apriel 1.5 format detection - if (src.find("") != std::string::npos && - src.find("") != std::string::npos && - src.find("") != std::string::npos && - src.find("<|assistant|>") != std::string::npos && - src.find("<|tool_result|>") != std::string::npos && - src.find("[") != std::string::npos && - src.find("]") != std::string::npos) { - return common_chat_params_init_apriel_1_5(tmpl, params); - } - - // Solar Open - if (src.find("<|tool_response:begin|>") != std::string::npos && - src.find("<|tool_response:name|>") != std::string::npos && - src.find("<|tool_response:result|>") != std::string::npos) { - return common_chat_params_init_solar_open(tmpl, params); - } - - // Use generic handler when mixing tools + JSON schema. - // TODO: support that mix in handlers below. - if ((params.tools.is_array() && params.json_schema.is_object())) { - return common_chat_params_init_generic(tmpl, params); - } - - // Functionary prepends "all\n" to plain content outputs, so we use its handler in all cases. - if (src.find(">>>all") != std::string::npos) { - return common_chat_params_init_functionary_v3_2(tmpl, params); - } - - // Firefunction v2 requires datetime and functions in the context even w/o tools, so we also use its handler in all cases. - if (src.find(" functools[") != std::string::npos) { - return common_chat_params_init_firefunction_v2(tmpl, params); - } - - // Functionary v3.1 (w/ tools) - if (src.find("<|start_header_id|>") != std::string::npos - && src.find("ipython<|end_header_id|>") != std::string::npos) { - auto allow_python_tag_builtin_tools = src.find("<|python_tag|>") != std::string::npos; - workaround::func_args_not_string(params.messages); - return common_chat_params_init_llama_3_x(tmpl, params, allow_python_tag_builtin_tools); - } - - // Ministral/Mistral Large 3 - if (src.find("[SYSTEM_PROMPT]") != std::string::npos && - src.find("[TOOL_CALLS]") != std::string::npos && - src.find("[ARGS]") != std::string::npos) { + // Ministral/Mistral Large 3 - uses special reasoning structure fixes, can't use autoparser + // Note: Mistral Small 3.2 uses [CALL_ID] which Ministral doesn't have, so we can distinguish them + if (src.find("[SYSTEM_PROMPT]") != std::string::npos && src.find("[TOOL_CALLS]") != std::string::npos && + src.find("[ARGS]") != std::string::npos && src.find("[CALL_ID]") == std::string::npos) { + LOG_DBG("Using specialized template: Ministral/Magistral Large 3\n"); return common_chat_params_init_ministral_3(tmpl, params); } - if (src.find("[THINK]") != std::string::npos && src.find("[/THINK]") != std::string::npos) { - return common_chat_params_init_magistral(tmpl, params); + // GPT-OSS - has unique channel-based structure that needs dedicated handler + if (src.find("<|channel|>") != std::string::npos) { + LOG_DBG("Using specialized template: GPT-OSS\n"); + return common_chat_params_init_gpt_oss(tmpl, params); } - // Solar Open - if (src.find("<|tool_response:begin|>") != std::string::npos && - src.find("<|tool_response:name|>") != std::string::npos && - src.find("<|tool_response:result|>") != std::string::npos) { - return common_chat_params_init_solar_open(tmpl, params); + // Functionary v3.2 - uses recipient-based format with >>>recipient\n{content} + // Detection: template has ">>>all" for content and ">>>" prefix for tool calls + if (src.find(">>>all") != std::string::npos && src.find(">>>${recipient}") != std::string::npos) { + LOG_DBG("Using specialized template: Functionary v3.2\n"); + return common_chat_params_init_functionary_v3_2(tmpl, params); } - // TranslateGemma - if (src.find("[source_lang_code]") != std::string::npos && - src.find("[target_lang_code]") != std::string::npos) { - return common_chat_params_init_translate_gemma(tmpl, params); + // Kimi K2 Thinking - uses unique tool call ID format: functions.: + // Detection: template has "<|tool_calls_section_begin|>" and "functions." prefix in tool call IDs + if (src.find("<|tool_calls_section_begin|>") != std::string::npos && + src.find("<|tool_call_begin|>") != std::string::npos) { + LOG_DBG("Using specialized template: Kimi K2 Thinking\n"); + return common_chat_params_init_kimi_k2(tmpl, params); } - // Plain handler (no tools) - if (params.tools.is_null() || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) { - return common_chat_params_init_without_tools(tmpl, params); + try { + LOG_DBG("Using differential autoparser\n"); + struct autoparser::autoparser autoparser; + autoparser.analyze_template(tmpl); + auto auto_params = autoparser::peg_generator::generate_parser(tmpl, params, autoparser); + auto_params.supports_thinking = autoparser.reasoning.mode != autoparser::reasoning_mode::NONE; + return auto_params; + } catch (const std::exception & e) { + throw std::invalid_argument(std::string("Unable to generate parser for this template. Automatic parser generation failed: ") + e.what()); } - - // Mistral Nemo (w/ tools) - if (src.find("[TOOL_CALLS]") != std::string::npos) { - workaround::func_args_not_string(params.messages); - return common_chat_params_init_mistral_nemo(tmpl, params); - } - - // Generic fallback - workaround::func_args_not_string(params.messages); - workaround::use_generic_schema(params.messages); - workaround::move_tool_calls_to_content(params.messages); - return common_chat_params_init_generic(tmpl, params); } // Legacy template route (adhoc C++ implementation of known templates), forward to llama_chat_apply_template. -static common_chat_params common_chat_templates_apply_legacy( - const struct common_chat_templates * tmpls, - const struct common_chat_templates_inputs & inputs) -{ - size_t alloc_size = 0; +static common_chat_params common_chat_templates_apply_legacy(const struct common_chat_templates * tmpls, + const struct common_chat_templates_inputs & inputs) { + size_t alloc_size = 0; std::vector chat; - std::vector contents; + std::vector contents; for (const auto & msg : inputs.messages) { auto content = msg.content; @@ -3290,25 +1447,27 @@ static common_chat_params common_chat_templates_apply_legacy( continue; } if (!content.empty()) { - content += "\n";; + content += "\n"; + ; } content += part.text; } contents.emplace_back(std::move(content)); } for (size_t i = 0; i < contents.size(); ++i) { - const auto & msg = inputs.messages[i]; + const auto & msg = inputs.messages[i]; const auto & content = contents[i]; - chat.push_back({msg.role.c_str(), content.c_str()}); + chat.push_back({ msg.role.c_str(), content.c_str() }); size_t msg_size = msg.role.size() + content.size(); - alloc_size += msg_size + (msg_size / 4); // == msg_size * 1.25 but avoiding float ops + alloc_size += msg_size + (msg_size / 4); // == msg_size * 1.25 but avoiding float ops } std::vector buf(alloc_size); // run the first time to get the total output length const auto & src = tmpls->template_default->source(); - int32_t res = llama_chat_apply_template(src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, buf.data(), buf.size()); + int32_t res = llama_chat_apply_template(src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, + buf.data(), buf.size()); // error: chat template is not supported if (res < 0) { @@ -3320,7 +1479,8 @@ static common_chat_params common_chat_templates_apply_legacy( // if it turns out that our buffer is too small, we resize it if ((size_t) res > buf.size()) { buf.resize(res); - res = llama_chat_apply_template(src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, buf.data(), buf.size()); + res = llama_chat_apply_template(src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, buf.data(), + buf.size()); } // for safety, we check the result again @@ -3338,14 +1498,72 @@ static common_chat_params common_chat_templates_apply_legacy( return params; } -common_chat_params common_chat_templates_apply( - const struct common_chat_templates * tmpls, - const struct common_chat_templates_inputs & inputs) -{ +common_chat_params common_chat_templates_apply(const struct common_chat_templates * tmpls, + const struct common_chat_templates_inputs & inputs) { GGML_ASSERT(tmpls != nullptr); - return inputs.use_jinja - ? common_chat_templates_apply_jinja(tmpls, inputs) - : common_chat_templates_apply_legacy(tmpls, inputs); + return inputs.use_jinja ? common_chat_templates_apply_jinja(tmpls, inputs) : + common_chat_templates_apply_legacy(tmpls, inputs); +} + +common_chat_msg common_chat_parse(const std::string & input, + bool is_partial, + const common_chat_parser_params & params) { + return common_chat_peg_parse(params.parser, input, is_partial, params); +} + +common_chat_msg common_chat_peg_parse(const common_peg_arena & src_parser, + const std::string & input, + bool is_partial, + const common_chat_parser_params & params) { + const common_peg_arena & parser = src_parser.empty() ? + build_chat_peg_parser([](common_chat_peg_builder & p) { return p.content(p.rest()) + p.end(); }) : + src_parser; + + if (src_parser.empty()) { + LOG_WRN("No parser definition detected, assuming pure content parser."); + } + + LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), input.c_str()); + + common_peg_parse_context ctx(input, is_partial); + ctx.debug = params.debug; + auto result = parser.parse(ctx); + + if (result.fail()) { + // During partial parsing, return partial results if any AST nodes were captured + // This allows streaming to work correctly for formats like FUNC_MARKDOWN_CODE_BLOCK + if (is_partial && result.end > 0) { + // Try to extract any partial results from what was successfully parsed + common_chat_msg msg; + msg.role = "assistant"; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + if (ctx.debug) { + fprintf(stderr, "\nAST for partial parse (fail):\n%s\n", ctx.ast.dump().c_str()); + fflush(stderr); + } + return msg; + } + throw std::runtime_error(std::string("Failed to parse input at pos ") + std::to_string(result.end) + ": " + + input.substr(result.end)); + } + + common_chat_msg msg; + msg.role = "assistant"; + + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + if (ctx.debug) { + fprintf(stderr, "\nAST for %s parse:\n%s\n", is_partial ? "partial" : "full", ctx.ast.dump().c_str()); + fflush(stderr); + } + + if (!is_partial) { + LOG_DBG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat({ msg }).at(0).dump().c_str()); + } + return msg; } std::map common_chat_templates_get_caps(const common_chat_templates * chat_templates) { @@ -3353,3 +1571,4 @@ std::map common_chat_templates_get_caps(const common_chat_tem GGML_ASSERT(chat_templates->template_default != nullptr); return chat_templates->template_default->caps.to_map(); } + diff --git a/common/chat.h b/common/chat.h index 6f0b9409ec..005cc5c8b3 100644 --- a/common/chat.h +++ b/common/chat.h @@ -3,17 +3,30 @@ #pragma once #include "common.h" +#include "jinja/parser.h" +#include "nlohmann/json_fwd.hpp" #include "peg-parser.h" -#include +#include "jinja/runtime.h" +#include "jinja/caps.h" +#include "nlohmann/json.hpp" + #include +#include +#include #include #include -#include + +using chat_template_caps = jinja::caps; +using json = nlohmann::ordered_json; #include struct common_chat_templates; +namespace autoparser { +struct templates_params; +} // namespace autoparser + struct common_chat_tool_call { std::string name; std::string arguments; @@ -38,21 +51,85 @@ struct common_chat_msg_content_part { } }; +struct common_chat_template { + jinja::program prog; + std::string bos_tok; + std::string eos_tok; + std::string src; + chat_template_caps caps; + + common_chat_template(const std::string & src, const std::string & bos_token, const std::string & eos_token) { + jinja::lexer lexer; + auto lexer_res = lexer.tokenize(src); + this->prog = jinja::parse_from_tokens(lexer_res); + + this->src = lexer_res.source; + this->bos_tok = bos_token; + this->eos_tok = eos_token; + + this->caps = jinja::caps_get(prog); + // LOG_INF("%s: caps:\n%s\n", __func__, this->caps.to_string().c_str()); + } + + const std::string & source() const { return src; } + const std::string & bos_token() const { return bos_tok; } + const std::string & eos_token() const { return eos_tok; } + + // TODO: this is ugly, refactor it somehow + json add_system(const json & messages, const std::string & system_prompt) const { + GGML_ASSERT(messages.is_array()); + auto msgs_copy = messages; + if (!caps.supports_system_role) { + if (msgs_copy.empty()) { + msgs_copy.insert(msgs_copy.begin(), json{ + {"role", "user"}, + {"content", system_prompt} + }); + } else { + auto & first_msg = msgs_copy[0]; + if (!first_msg.contains("content")) { + first_msg["content"] = ""; + } + first_msg["content"] = system_prompt + "\n\n" + + first_msg["content"].get(); + } + } else { + if (msgs_copy.empty() || msgs_copy[0].at("role") != "system") { + msgs_copy.insert(msgs_copy.begin(), json{ + {"role", "system"}, + {"content", system_prompt} + }); + } else if (msgs_copy[0].at("role") == "system") { + msgs_copy[0]["content"] = system_prompt; + } + } + return msgs_copy; + } + + chat_template_caps original_caps() const { + return caps; + } + +}; + struct common_chat_msg { - std::string role; - std::string content; + std::string role; + std::string content; std::vector content_parts; - std::vector tool_calls; - std::string reasoning_content; - std::string tool_name; - std::string tool_call_id; + std::vector tool_calls; + std::string reasoning_content; + std::string tool_name; + std::string tool_call_id; nlohmann::ordered_json to_json_oaicompat(bool concat_typed_text = false) const; bool empty() const { - return content.empty() && content_parts.empty() && tool_calls.empty() && reasoning_content.empty() && tool_name.empty() && tool_call_id.empty(); + return content.empty() && content_parts.empty() && tool_calls.empty() && reasoning_content.empty() && + tool_name.empty() && tool_call_id.empty(); } - void set_tool_call_ids(std::vector & ids_cache, const std::function & gen_tool_call_id) { + + void set_tool_call_ids(std::vector & ids_cache, + const std::function & gen_tool_call_id) { for (auto i = 0u; i < tool_calls.size(); i++) { if (ids_cache.size() <= i) { auto id = tool_calls[i].id; @@ -64,32 +141,28 @@ struct common_chat_msg { tool_calls[i].id = ids_cache[i]; } } + bool operator==(const common_chat_msg & other) const { - return role == other.role - && content == other.content - && content_parts == other.content_parts - && tool_calls == other.tool_calls - && reasoning_content == other.reasoning_content - && tool_name == other.tool_name - && tool_call_id == other.tool_call_id; - } - bool operator!=(const common_chat_msg & other) const { - return !(*this == other); + return role == other.role && content == other.content && content_parts == other.content_parts && + tool_calls == other.tool_calls && reasoning_content == other.reasoning_content && + tool_name == other.tool_name && tool_call_id == other.tool_call_id; } + + bool operator!=(const common_chat_msg & other) const { return !(*this == other); } }; struct common_chat_msg_diff { - std::string reasoning_content_delta; - std::string content_delta; - size_t tool_call_index = std::string::npos; + std::string reasoning_content_delta; + std::string content_delta; + size_t tool_call_index = std::string::npos; common_chat_tool_call tool_call_delta; - static std::vector compute_diffs(const common_chat_msg & msg_prv, const common_chat_msg & msg_new); + static std::vector compute_diffs(const common_chat_msg & msg_prv, + const common_chat_msg & msg_new); bool operator==(const common_chat_msg_diff & other) const { - return content_delta == other.content_delta - && tool_call_index == other.tool_call_index - && tool_call_delta == other.tool_call_delta; + return content_delta == other.content_delta && tool_call_index == other.tool_call_index && + tool_call_delta == other.tool_call_delta; } }; @@ -107,64 +180,39 @@ enum common_chat_tool_choice { enum common_chat_format { COMMON_CHAT_FORMAT_CONTENT_ONLY, - COMMON_CHAT_FORMAT_GENERIC, - COMMON_CHAT_FORMAT_MISTRAL_NEMO, - COMMON_CHAT_FORMAT_MAGISTRAL, - COMMON_CHAT_FORMAT_LLAMA_3_X, - COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS, - COMMON_CHAT_FORMAT_DEEPSEEK_R1, - COMMON_CHAT_FORMAT_FIREFUNCTION_V2, - COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, - COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1, - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - COMMON_CHAT_FORMAT_HERMES_2_PRO, - COMMON_CHAT_FORMAT_COMMAND_R7B, - COMMON_CHAT_FORMAT_GRANITE, - COMMON_CHAT_FORMAT_GPT_OSS, - COMMON_CHAT_FORMAT_SEED_OSS, - COMMON_CHAT_FORMAT_NEMOTRON_V2, - COMMON_CHAT_FORMAT_APERTUS, - COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS, - COMMON_CHAT_FORMAT_GLM_4_5, - COMMON_CHAT_FORMAT_MINIMAX_M2, - COMMON_CHAT_FORMAT_KIMI_K2, - COMMON_CHAT_FORMAT_APRIEL_1_5, - COMMON_CHAT_FORMAT_XIAOMI_MIMO, - COMMON_CHAT_FORMAT_SOLAR_OPEN, - COMMON_CHAT_FORMAT_EXAONE_MOE, // These are intended to be parsed by the PEG parser COMMON_CHAT_FORMAT_PEG_SIMPLE, COMMON_CHAT_FORMAT_PEG_NATIVE, - COMMON_CHAT_FORMAT_PEG_CONSTRUCTED, - COMMON_CHAT_FORMAT_COUNT, // Not a format, just the # formats + COMMON_CHAT_FORMAT_COUNT, // Not a format, just the # formats }; struct common_chat_templates_inputs { - std::vector messages; - std::string grammar; - std::string json_schema; - bool add_generation_prompt = true; - bool use_jinja = true; + std::vector messages; + std::string grammar; + std::string json_schema; + bool add_generation_prompt = true; + bool use_jinja = true; // Parameters below only supported when use_jinja is true - std::vector tools; - common_chat_tool_choice tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO; - bool parallel_tool_calls = false; - common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool enable_thinking" - bool enable_thinking = true; - std::chrono::system_clock::time_point now = std::chrono::system_clock::now(); - std::map chat_template_kwargs; - bool add_bos = false; - bool add_eos = false; + std::vector tools; + common_chat_tool_choice tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO; + bool parallel_tool_calls = false; + common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool enable_thinking" + bool enable_thinking = true; + std::chrono::system_clock::time_point now = std::chrono::system_clock::now(); + std::map chat_template_kwargs; + bool add_bos = false; + bool add_eos = false; }; struct common_chat_params { common_chat_format format = COMMON_CHAT_FORMAT_CONTENT_ONLY; std::string prompt; std::string grammar; - bool grammar_lazy = false; + bool grammar_lazy = false; bool thinking_forced_open = false; + bool supports_thinking = false; std::vector grammar_triggers; std::vector preserved_tokens; std::vector additional_stops; @@ -174,13 +222,14 @@ struct common_chat_params { // per-message parsing syntax // should be derived from common_chat_params struct common_chat_parser_params { - common_chat_format format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool parse_reasoning" + common_chat_format format = COMMON_CHAT_FORMAT_CONTENT_ONLY; + common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE; // TODO: refactor this to "bool parse_reasoning" // Whether reasoning_content should be inlined in the content (e.g. for reasoning_format=deepseek in stream mode) - bool reasoning_in_content = false; - bool thinking_forced_open = false; - bool parse_tool_calls = true; - common_peg_arena parser = {}; + bool reasoning_in_content = false; + bool thinking_forced_open = false; + bool parse_tool_calls = true; + bool debug = false; // Enable debug output for PEG parser + common_peg_arena parser = {}; common_chat_parser_params() = default; common_chat_parser_params(const common_chat_params & chat_params) { format = chat_params.format; @@ -193,45 +242,42 @@ bool common_chat_verify_template(const std::string & tmpl, bool use_jinja); void common_chat_templates_free(struct common_chat_templates * tmpls); -struct common_chat_templates_deleter { void operator()(common_chat_templates * tmpls) { common_chat_templates_free(tmpls); } }; +struct common_chat_templates_deleter { + void operator()(common_chat_templates * tmpls) { common_chat_templates_free(tmpls); } +}; typedef std::unique_ptr common_chat_templates_ptr; -common_chat_templates_ptr common_chat_templates_init( - const struct llama_model * model, - const std::string & chat_template_override, - const std::string & bos_token_override = "", - const std::string & eos_token_override = ""); +common_chat_templates_ptr common_chat_templates_init(const struct llama_model * model, + const std::string & chat_template_override, + const std::string & bos_token_override = "", + const std::string & eos_token_override = ""); bool common_chat_templates_was_explicit(const struct common_chat_templates * tmpls); std::string common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant = ""); - -struct common_chat_params common_chat_templates_apply( - const struct common_chat_templates * tmpls, - const struct common_chat_templates_inputs & inputs); +struct common_chat_params common_chat_templates_apply(const struct common_chat_templates * tmpls, + const struct common_chat_templates_inputs & inputs); // Format single message, while taking into account the position of that message in chat history -std::string common_chat_format_single( - const struct common_chat_templates * tmpls, - const std::vector & past_msg, - const common_chat_msg & new_msg, - bool add_ass, - bool use_jinja); +std::string common_chat_format_single(const struct common_chat_templates * tmpls, + const std::vector & past_msg, + const common_chat_msg & new_msg, + bool add_ass, + bool use_jinja); // Returns an example of formatted chat -std::string common_chat_format_example( - const struct common_chat_templates * tmpls, - bool use_jinja, - const std::map & chat_template_kwargs); +std::string common_chat_format_example(const struct common_chat_templates * tmpls, + bool use_jinja, + const std::map & chat_template_kwargs); -const char* common_chat_format_name(common_chat_format format); -common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & syntax); -common_chat_msg common_chat_peg_parse(const common_peg_arena & parser, const std::string & input, bool is_partial, const common_chat_parser_params & syntax); +const char * common_chat_format_name(common_chat_format format); +common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_parser_params & params); +common_chat_msg common_chat_peg_parse(const common_peg_arena & src_parser, const std::string & input, bool is_partial, const common_chat_parser_params & params); // used by arg and server -const char * common_reasoning_format_name(common_reasoning_format format); -common_reasoning_format common_reasoning_format_from_name(const std::string & format); +const char * common_reasoning_format_name(common_reasoning_format format); +common_reasoning_format common_reasoning_format_from_name(const std::string & format); common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::string & tool_choice); @@ -250,3 +296,10 @@ nlohmann::ordered_json common_chat_msg_diff_to_json_oaicompat(const common_chat_ // get template caps, useful for reporting to server /props endpoint std::map common_chat_templates_get_caps(const common_chat_templates * chat_templates); + +std::string common_chat_template_direct_apply( + const common_chat_template & tmpl, + const autoparser::templates_params & inputs, + const std::optional & messages_override = std::nullopt, + const std::optional & tools_override = std::nullopt, + const std::optional & additional_context = std::nullopt); diff --git a/common/common.cpp b/common/common.cpp index 53bddc4ef2..cc423d3439 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -676,7 +676,7 @@ bool fs_validate_filename(const std::string & filename, bool allow_subdirs) { size_t offset = 0; while (offset < filename.size()) { - utf8_parse_result result = parse_utf8_codepoint(filename, offset); + utf8_parse_result result = common_parse_utf8_codepoint(filename, offset); if (result.status != utf8_parse_result::SUCCESS) { return false; diff --git a/common/jinja/caps.cpp b/common/jinja/caps.cpp index dbaaed500a..1158d5e5d6 100644 --- a/common/jinja/caps.cpp +++ b/common/jinja/caps.cpp @@ -1,3 +1,4 @@ +#include "log.h" #include "value.h" #include "runtime.h" #include "caps.h" @@ -36,12 +37,16 @@ static void caps_try_execute(jinja::program & prog, auto tools = ctx.get_val("tools"); bool success = false; + std::string result; try { jinja::runtime runtime(ctx); - runtime.execute(prog); + auto results = runtime.execute(prog); + auto parts = jinja::runtime::gather_string_parts(results); + result = parts->as_string().str(); success = true; } catch (const std::exception & e) { JJ_DEBUG("Exception during execution: %s", e.what()); + result = ""; // ignore exceptions during capability analysis } @@ -90,6 +95,8 @@ caps caps_get(jinja::program & prog) { return v->stats.ops.find(op_name) != v->stats.ops.end(); }; + JJ_DEBUG("%s\n", ">>> Running capability check: typed content"); + // case: typed content support caps_try_execute( prog, @@ -120,6 +127,7 @@ caps caps_get(jinja::program & prog) { } ); + JJ_DEBUG("%s\n", ">>> Running capability check: system prompt"); // case: system prompt support caps_try_execute( @@ -150,7 +158,9 @@ caps caps_get(jinja::program & prog) { } ); - // case: tools support + JJ_DEBUG("%s\n", ">>> Running capability check: single tool support"); + + // case: tools support: single call caps_try_execute( prog, [&]() { @@ -162,10 +172,10 @@ caps caps_get(jinja::program & prog) { }, { {"role", "assistant"}, - {"content", "Assistant message"}, + {"content", ""}, // Some templates expect content to be empty with tool calls {"tool_calls", json::array({ { - {"id", "call1"}, + {"id", "call00001"}, {"type", "function"}, {"function", { {"name", "tool1"}, @@ -173,19 +183,18 @@ caps caps_get(jinja::program & prog) { {"arg", "value"} }} }} - }, - { - {"id", "call2"}, - {"type", "function"}, - {"function", { - {"name", "tool2"}, - {"arguments", { - {"arg", "value"} - }} - }} } })} }, + { + {"role", "tool"}, + {"content", "Tool response"}, + {"tool_call_id", "call00001"} + }, + { + {"role", "assistant"}, + {"content", "The tool response was 'tool response'"} + }, { {"role", "user"}, {"content", "User message"}, @@ -199,7 +208,7 @@ caps caps_get(jinja::program & prog) { {"name", "tool"}, {"type", "function"}, {"function", { - {"name", "tool"}, + {"name", "tool1"}, {"description", "Tool description"}, {"parameters", { {"type", "object"}, @@ -224,6 +233,7 @@ caps caps_get(jinja::program & prog) { auto & tool_name = tools->at(0)->at("function")->at("name"); caps_print_stats(tool_name, "tools[0].function.name"); + caps_print_stats(tools, "tools"); if (!tool_name->stats.used) { result.supports_tools = false; } @@ -233,6 +243,93 @@ caps caps_get(jinja::program & prog) { if (!tool_calls->stats.used) { result.supports_tool_calls = false; } + } + ); + + JJ_DEBUG("%s\n", ">>> Running capability check: parallel tool support"); + + // case: tools support: parallel calls + caps_try_execute( + prog, + [&]() { + // messages + return json::array({ + { + {"role", "user"}, + {"content", "User message"}, + }, + { + {"role", "assistant"}, + {"content", ""}, // Some templates expect content to be empty with tool calls + {"tool_calls", json::array({ + { + {"id", "call00001"}, + {"type", "function"}, + {"function", { + {"name", "tool1"}, + {"arguments", { + {"arg", "value"} + }} + }} + }, + { + {"id", "call00002"}, + {"type", "function"}, + {"function", { + {"name", "tool1"}, + {"arguments", { + {"arg", "value"} + }} + }} + } + })} + }, + { + {"role", "tool"}, + {"content", "Tool response"}, + {"tool_call_id", "call00001"} + }, + { + {"role", "assistant"}, + {"content", "The tool response was 'tool response'"} + }, + { + {"role", "user"}, + {"content", "User message"}, + }, + }); + }, + [&]() { + // tools + return json::array({ + { + {"name", "tool"}, + {"type", "function"}, + {"function", { + {"name", "tool1"}, + {"description", "Tool description"}, + {"parameters", { + {"type", "object"}, + {"properties", { + {"arg", { + {"type", "string"}, + {"description", "Arg description"}, + }}, + }}, + {"required", json::array({ "arg" })}, + }}, + }}, + }, + }); + }, + [&](bool success, value & messages, value & /*tools*/) { + if (!success) { + result.supports_parallel_tool_calls = false; + return; + } + + auto & tool_calls = messages->at(1)->at("tool_calls");; + caps_print_stats(tool_calls, "messages[1].tool_calls"); // check for second tool call usage auto & tool_call_1 = tool_calls->at(1)->at("function"); @@ -243,6 +340,8 @@ caps caps_get(jinja::program & prog) { } ); + JJ_DEBUG("%s\n", ">>> Running capability check: preserve reasoning"); + // case: preserve reasoning content in chat history caps_try_execute( prog, diff --git a/common/jinja/runtime.cpp b/common/jinja/runtime.cpp index 5757c76b7a..af2282c546 100644 --- a/common/jinja/runtime.cpp +++ b/common/jinja/runtime.cpp @@ -114,8 +114,10 @@ value binary_expression::execute_impl(context & ctx) { // Logical operators if (op.value == "and") { + JJ_DEBUG("Executing logical test: %s AND %s", left->type().c_str(), right->type().c_str()); return left_val->as_bool() ? right->execute(ctx) : std::move(left_val); } else if (op.value == "or") { + JJ_DEBUG("Executing logical test: %s OR %s", left->type().c_str(), right->type().c_str()); return left_val->as_bool() ? std::move(left_val) : right->execute(ctx); } @@ -838,7 +840,7 @@ value call_expression::execute_impl(context & ctx) { for (auto & arg_stmt : this->args) { auto arg_val = arg_stmt->execute(ctx); JJ_DEBUG(" Argument type: %s", arg_val->type().c_str()); - args.push_back(std::move(arg_val)); + args.push_back(arg_val); } // execute callee value callee_val = callee->execute(ctx); diff --git a/common/jinja/value.h b/common/jinja/value.h index 07e447ff69..6cbedefd96 100644 --- a/common/jinja/value.h +++ b/common/jinja/value.h @@ -12,8 +12,8 @@ #include #include #include -#include #include +#include namespace jinja { diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp index 2f67c74d79..27f13f034e 100644 --- a/common/json-schema-to-grammar.cpp +++ b/common/json-schema-to-grammar.cpp @@ -27,11 +27,11 @@ static std::string build_repetition(const std::string & item_rule, int min_items if (separator_rule.empty()) { if (min_items == 1 && !has_max) { return item_rule + "+"; - } else if (min_items == 0 && !has_max) { - return item_rule + "*"; - } else { - return item_rule + "{" + std::to_string(min_items) + "," + (has_max ? std::to_string(max_items) : "") + "}"; } + if (min_items == 0 && !has_max) { + return item_rule + "*"; + } + return item_rule + "{" + std::to_string(min_items) + "," + (has_max ? std::to_string(max_items) : "") + "}"; } auto result = item_rule + " " + build_repetition("(" + separator_rule + " " + item_rule + ")", min_items == 0 ? 0 : min_items - 1, has_max ? max_items - 1 : max_items); @@ -41,7 +41,7 @@ static std::string build_repetition(const std::string & item_rule, int min_items return result; } -static void _build_min_max_int(int64_t min_value, int64_t max_value, std::stringstream & out, int decimals_left = 16, bool top_level = true) { +static void build_min_max_int(int64_t min_value, int64_t max_value, std::stringstream & out, int decimals_left = 16, bool top_level = true) { auto has_min = min_value != std::numeric_limits::min(); auto has_max = max_value != std::numeric_limits::max(); @@ -128,14 +128,14 @@ static void _build_min_max_int(int64_t min_value, int64_t max_value, std::string if (has_min && has_max) { if (min_value < 0 && max_value < 0) { out << "\"-\" ("; - _build_min_max_int(-max_value, -min_value, out, decimals_left, /* top_level= */ true); + build_min_max_int(-max_value, -min_value, out, decimals_left, /* top_level= */ true); out << ")"; return; } if (min_value < 0) { out << "\"-\" ("; - _build_min_max_int(0, -min_value, out, decimals_left, /* top_level= */ true); + build_min_max_int(0, -min_value, out, decimals_left, /* top_level= */ true); out << ") | "; min_value = 0; } @@ -159,7 +159,7 @@ static void _build_min_max_int(int64_t min_value, int64_t max_value, std::string if (has_min) { if (min_value < 0) { out << "\"-\" ("; - _build_min_max_int(std::numeric_limits::min(), -min_value, out, decimals_left, /* top_level= */ false); + build_min_max_int(std::numeric_limits::min(), -min_value, out, decimals_left, /* top_level= */ false); out << ") | [0] | [1-9] "; more_digits(0, decimals_left - 1); } else if (min_value == 0) { @@ -194,7 +194,7 @@ static void _build_min_max_int(int64_t min_value, int64_t max_value, std::string } digit_range(c, c); out << " ("; - _build_min_max_int(std::stoll(min_s.substr(1)), std::numeric_limits::max(), out, less_decimals, /* top_level= */ false); + build_min_max_int(std::stoll(min_s.substr(1)), std::numeric_limits::max(), out, less_decimals, /* top_level= */ false); out << ")"; if (c < '9') { out << " | "; @@ -213,10 +213,10 @@ static void _build_min_max_int(int64_t min_value, int64_t max_value, std::string more_digits(0, less_decimals); out << " | "; } - _build_min_max_int(0, max_value, out, decimals_left, /* top_level= */ true); + build_min_max_int(0, max_value, out, decimals_left, /* top_level= */ true); } else { out << "\"-\" ("; - _build_min_max_int(-max_value, std::numeric_limits::max(), out, decimals_left, /* top_level= */ false); + build_min_max_int(-max_value, std::numeric_limits::max(), out, decimals_left, /* top_level= */ false); out << ")"; } return; @@ -232,7 +232,7 @@ struct BuiltinRule { std::vector deps; }; -std::unordered_map PRIMITIVE_RULES = { +static std::unordered_map PRIMITIVE_RULES = { {"boolean", {"(\"true\" | \"false\") space", {}}}, {"decimal-part", {"[0-9]{1,16}", {}}}, {"integral-part", {"[0] | [1-9] [0-9]{0,15}", {}}}, @@ -247,7 +247,7 @@ std::unordered_map PRIMITIVE_RULES = { {"null", {"\"null\" space", {}}}, }; -std::unordered_map STRING_FORMAT_RULES = { +static std::unordered_map STRING_FORMAT_RULES = { {"date", {"[0-9]{4} \"-\" ( \"0\" [1-9] | \"1\" [0-2] ) \"-\" ( \"0\" [1-9] | [1-2] [0-9] | \"3\" [0-1] )", {}}}, {"time", {"([01] [0-9] | \"2\" [0-3]) \":\" [0-5] [0-9] \":\" [0-5] [0-9] ( \".\" [0-9]{3} )? ( \"Z\" | ( \"+\" | \"-\" ) ( [01] [0-9] | \"2\" [0-3] ) \":\" [0-5] [0-9] )", {}}}, {"date-time", {"date \"T\" time", {"date", "time"}}}, @@ -260,22 +260,26 @@ static bool is_reserved_name(const std::string & name) { static const std::unordered_set RESERVED_NAMES = [] { std::unordered_set s; s.insert("root"); - for (const auto & p : PRIMITIVE_RULES) s.insert(p.first); - for (const auto & p : STRING_FORMAT_RULES) s.insert(p.first); + for (const auto & p : PRIMITIVE_RULES) { + s.insert(p.first); + } + for (const auto & p : STRING_FORMAT_RULES) { + s.insert(p.first); + } return s; }(); return RESERVED_NAMES.find(name) != RESERVED_NAMES.end(); } -std::regex INVALID_RULE_CHARS_RE("[^a-zA-Z0-9-]+"); -std::regex GRAMMAR_LITERAL_ESCAPE_RE("[\r\n\"\\\\]"); -std::regex GRAMMAR_RANGE_LITERAL_ESCAPE_RE("[\r\n\"\\]\\-\\\\]"); -std::unordered_map GRAMMAR_LITERAL_ESCAPES = { +static std::regex INVALID_RULE_CHARS_RE("[^a-zA-Z0-9-]+"); +static std::regex GRAMMAR_LITERAL_ESCAPE_RE("[\r\n\"\\\\]"); +static std::regex GRAMMAR_RANGE_LITERAL_ESCAPE_RE("[\r\n\"\\]\\-\\\\]"); +static std::unordered_map GRAMMAR_LITERAL_ESCAPES = { {'\r', "\\r"}, {'\n', "\\n"}, {'"', "\\\""}, {'-', "\\-"}, {']', "\\]"}, {'\\', "\\\\"} }; -std::unordered_set NON_LITERAL_SET = {'|', '.', '(', ')', '[', ']', '{', '}', '*', '+', '?'}; -std::unordered_set ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS = {'^', '$', '.', '[', ']', '(', ')', '|', '{', '}', '*', '+', '?'}; +static std::unordered_set NON_LITERAL_SET = {'|', '.', '(', ')', '[', ']', '{', '}', '*', '+', '?'}; +static std::unordered_set ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS = {'^', '$', '.', '[', ']', '(', ')', '|', '{', '}', '*', '+', '?'}; static std::string replacePattern(const std::string & input, const std::regex & regex, const std::function & replacement) { std::smatch match; @@ -322,19 +326,19 @@ private: if (_rules.find(esc_name) == _rules.end() || _rules[esc_name] == rule) { _rules[esc_name] = rule; return esc_name; - } else { - int i = 0; - while (_rules.find(esc_name + std::to_string(i)) != _rules.end() && _rules[esc_name + std::to_string(i)] != rule) { - i++; - } - std::string key = esc_name + std::to_string(i); - _rules[key] = rule; - return key; } + int i = 0; + while (_rules.find(esc_name + std::to_string(i)) != _rules.end() && _rules[esc_name + std::to_string(i)] != rule) { + i++; + } + std::string key = esc_name + std::to_string(i); + _rules[key] = rule; + return key; } std::string _generate_union_rule(const std::string & name, const std::vector & alt_schemas) { std::vector rules; + rules.reserve(alt_schemas.size()); for (size_t i = 0; i < alt_schemas.size(); i++) { rules.push_back(visit(alt_schemas[i], name + (name.empty() ? "alternative-" : "-") + std::to_string(i))); } @@ -398,6 +402,7 @@ private: flush_literal(); std::vector results; + results.reserve(ret.size()); for (const auto & item : ret) { results.push_back(to_rule(item)); } @@ -551,7 +556,7 @@ private: TrieNode() : is_end_of_string(false) {} void insert(const std::string & string) { - auto node = this; + auto *node = this; for (char c : string) { node = &node->children[c]; } @@ -676,7 +681,7 @@ private: if (ks.empty()) { return res; } - std::string k = ks[0]; + const std::string& k = ks[0]; std::string kv_rule_name = prop_kv_rule_names[k]; std::string comma_ref = "( \",\" space " + kv_rule_name + " )"; if (first_is_optional) { @@ -779,7 +784,7 @@ public: std::string pointer = ref.substr(ref.find('#') + 1); std::vector tokens = string_split(pointer, "/"); for (size_t i = 1; i < tokens.size(); ++i) { - std::string sel = tokens[i]; + const std::string& sel = tokens[i]; if (target.is_object() && target.contains(sel)) { target = target[sel]; } else if (target.is_array()) { @@ -802,7 +807,7 @@ public: _refs[ref] = target; } } else { - for (auto & kv : n.items()) { + for (const auto & kv : n.items()) { visit_refs(kv.value()); } } @@ -812,7 +817,7 @@ public: visit_refs(schema); } - std::string _generate_constant_rule(const json & value) { + static std::string _generate_constant_rule(const json & value) { return format_literal(value.dump()); } @@ -823,10 +828,12 @@ public: if (schema.contains("$ref")) { return _add_rule(rule_name, _resolve_ref(schema["$ref"])); - } else if (schema.contains("oneOf") || schema.contains("anyOf")) { + } + if (schema.contains("oneOf") || schema.contains("anyOf")) { std::vector alt_schemas = schema.contains("oneOf") ? schema["oneOf"].get>() : schema["anyOf"].get>(); return _add_rule(rule_name, _generate_union_rule(name, alt_schemas)); - } else if (schema_type.is_array()) { + } + if (schema_type.is_array()) { std::vector schema_types; for (const auto & t : schema_type) { json schema_copy(schema); @@ -834,15 +841,18 @@ public: schema_types.push_back(schema_copy); } return _add_rule(rule_name, _generate_union_rule(name, schema_types)); - } else if (schema.contains("const")) { + } + if (schema.contains("const")) { return _add_rule(rule_name, _generate_constant_rule(schema["const"]) + " space"); - } else if (schema.contains("enum")) { + } + if (schema.contains("enum")) { std::vector enum_values; for (const auto & v : schema["enum"]) { enum_values.push_back(_generate_constant_rule(v)); } return _add_rule(rule_name, "(" + string_join(enum_values, " | ") + ") space"); - } else if ((schema_type.is_null() || schema_type == "object") + } + if ((schema_type.is_null() || schema_type == "object") && (schema.contains("properties") || (schema.contains("additionalProperties") && schema["additionalProperties"] != true))) { std::unordered_set required; @@ -863,11 +873,12 @@ public: _build_object_rule( properties, required, name, schema.contains("additionalProperties") ? schema["additionalProperties"] : json())); - } else if ((schema_type.is_null() || schema_type == "object" || schema_type == "string") && schema.contains("allOf")) { + } + if ((schema_type.is_null() || schema_type == "object" || schema_type == "string") && schema.contains("allOf")) { std::unordered_set required; std::vector> properties; std::map enum_values; - std::string hybrid_name = name; + const std::string& hybrid_name = name; std::function add_component = [&](const json & comp_schema, bool is_required) { if (comp_schema.contains("$ref")) { add_component(_refs[comp_schema["$ref"]], is_required); @@ -890,9 +901,9 @@ public: // todo warning } }; - for (auto & t : schema["allOf"]) { + for (const auto & t : schema["allOf"]) { if (t.contains("anyOf")) { - for (auto & tt : t["anyOf"]) { + for (const auto & tt : t["anyOf"]) { add_component(tt, false); } } else { @@ -911,7 +922,8 @@ public: } } return _add_rule(rule_name, _build_object_rule(properties, required, hybrid_name, json())); - } else if ((schema_type.is_null() || schema_type == "array") && (schema.contains("items") || schema.contains("prefixItems"))) { + } + if ((schema_type.is_null() || schema_type == "array") && (schema.contains("items") || schema.contains("prefixItems"))) { json items = schema.contains("items") ? schema["items"] : schema["prefixItems"]; if (items.is_array()) { std::string rule = "\"[\" space "; @@ -923,27 +935,31 @@ public: } rule += " \"]\" space"; return _add_rule(rule_name, rule); - } else { - std::string item_rule_name = visit(items, name + (name.empty() ? "" : "-") + "item"); - int min_items = schema.contains("minItems") ? schema["minItems"].get() : 0; - json max_items_json = schema.contains("maxItems") ? schema["maxItems"] : json(); - int max_items = max_items_json.is_number_integer() ? max_items_json.get() : std::numeric_limits::max(); - - return _add_rule(rule_name, "\"[\" space " + build_repetition(item_rule_name, min_items, max_items, "\",\" space") + " \"]\" space"); } - } else if ((schema_type.is_null() || schema_type == "string") && schema.contains("pattern")) { + std::string item_rule_name = visit(items, name + (name.empty() ? "" : "-") + "item"); + int min_items = schema.contains("minItems") ? schema["minItems"].get() : 0; + json max_items_json = schema.contains("maxItems") ? schema["maxItems"] : json(); + int max_items = max_items_json.is_number_integer() ? max_items_json.get() : std::numeric_limits::max(); + + return _add_rule(rule_name, "\"[\" space " + build_repetition(item_rule_name, min_items, max_items, "\",\" space") + " \"]\" space"); + } + if ((schema_type.is_null() || schema_type == "string") && schema.contains("pattern")) { return _visit_pattern(schema["pattern"], rule_name); - } else if ((schema_type.is_null() || schema_type == "string") && std::regex_match(schema_format, std::regex("^uuid[1-5]?$"))) { + } + if ((schema_type.is_null() || schema_type == "string") && std::regex_match(schema_format, std::regex("^uuid[1-5]?$"))) { return _add_primitive(rule_name == "root" ? "root" : schema_format, PRIMITIVE_RULES.at("uuid")); - } else if ((schema_type.is_null() || schema_type == "string") && STRING_FORMAT_RULES.find(schema_format + "-string") != STRING_FORMAT_RULES.end()) { + } + if ((schema_type.is_null() || schema_type == "string") && STRING_FORMAT_RULES.find(schema_format + "-string") != STRING_FORMAT_RULES.end()) { auto prim_name = schema_format + "-string"; return _add_rule(rule_name, _add_primitive(prim_name, STRING_FORMAT_RULES.at(prim_name))); - } else if (schema_type == "string" && (schema.contains("minLength") || schema.contains("maxLength"))) { + } + if (schema_type == "string" && (schema.contains("minLength") || schema.contains("maxLength"))) { std::string char_rule = _add_primitive("char", PRIMITIVE_RULES.at("char")); int min_len = schema.contains("minLength") ? schema["minLength"].get() : 0; int max_len = schema.contains("maxLength") ? schema["maxLength"].get() : std::numeric_limits::max(); return _add_rule(rule_name, "\"\\\"\" " + build_repetition(char_rule, min_len, max_len) + " \"\\\"\" space"); - } else if (schema_type == "integer" && (schema.contains("minimum") || schema.contains("exclusiveMinimum") || schema.contains("maximum") || schema.contains("exclusiveMaximum"))) { + } + if (schema_type == "integer" && (schema.contains("minimum") || schema.contains("exclusiveMinimum") || schema.contains("maximum") || schema.contains("exclusiveMaximum"))) { int64_t min_value = std::numeric_limits::min(); int64_t max_value = std::numeric_limits::max(); if (schema.contains("minimum")) { @@ -958,19 +974,24 @@ public: } std::stringstream out; out << "("; - _build_min_max_int(min_value, max_value, out); + build_min_max_int(min_value, max_value, out); out << ") space"; return _add_rule(rule_name, out.str()); - } else if (schema.empty() || schema_type == "object") { - return _add_rule(rule_name, _add_primitive("object", PRIMITIVE_RULES.at("object"))); - } else { - if (!schema_type.is_string() || PRIMITIVE_RULES.find(schema_type.get()) == PRIMITIVE_RULES.end()) { - _errors.push_back("Unrecognized schema: " + schema.dump()); - return ""; - } - // TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero - return _add_primitive(rule_name == "root" ? "root" : schema_type.get(), PRIMITIVE_RULES.at(schema_type.get())); } + if (schema.empty() || schema_type == "object") { + return _add_rule(rule_name, _add_primitive("object", PRIMITIVE_RULES.at("object"))); + } + if (schema_type.is_null() && schema.is_object()) { + // No type constraint and no recognized structural keywords (e.g. {"description": "..."}). + // Per JSON Schema semantics this is equivalent to {} and accepts any value. + return _add_rule(rule_name, _add_primitive("value", PRIMITIVE_RULES.at("value"))); + } + if (!schema_type.is_string() || PRIMITIVE_RULES.find(schema_type.get()) == PRIMITIVE_RULES.end()) { + _errors.push_back("Unrecognized schema: " + schema.dump()); + return ""; + } + // TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero + return _add_primitive(rule_name == "root" ? "root" : schema_type.get(), PRIMITIVE_RULES.at(schema_type.get())); } void check_errors() { @@ -985,7 +1006,7 @@ public: std::string format_grammar() { std::stringstream ss; for (const auto & kv : _rules) { - ss << kv.first << " ::= " << kv.second << std::endl; + ss << kv.first << " ::= " << kv.second << '\n'; } return ss.str(); } diff --git a/common/peg-parser.cpp b/common/peg-parser.cpp index f2fc84500f..48379f1ec8 100644 --- a/common/peg-parser.cpp +++ b/common/peg-parser.cpp @@ -1,14 +1,15 @@ -#include "common.h" #include "peg-parser.h" -#include "json-schema-to-grammar.h" -#include "unicode.h" -#include +#include "common.h" +#include "json-schema-to-grammar.h" +#include "log.h" +#include "unicode.h" #include #include #include #include +#include #include #include #include @@ -34,8 +35,7 @@ static bool is_hex_digit(const char c) { // This is used in common_peg_until_parser and to build a GBNF exclusion grammar struct trie { struct node { - size_t depth = 0; - std::map children; + std::map children; // Use uint32_t to store Unicode codepoints bool is_word; }; @@ -55,15 +55,22 @@ struct trie { size_t current = 0; // Start at root size_t pos = start_pos; + // LOG_DBG("%s: checking at pos %zu, sv='%s'\n", __func__, start_pos, std::string(sv).c_str()); + while (pos < sv.size()) { - auto it = nodes[current].children.find(sv[pos]); + auto result = common_parse_utf8_codepoint(sv, pos); + if (result.status != utf8_parse_result::SUCCESS) { + break; + } + + auto it = nodes[current].children.find(result.codepoint); if (it == nodes[current].children.end()) { // Can't continue matching return match_result{match_result::NO_MATCH}; } current = it->second; - pos++; + pos += result.bytes_consumed; // Check if we've matched a complete word if (nodes[current].is_word) { @@ -82,22 +89,22 @@ struct trie { } struct prefix_and_next { - std::string prefix; - std::string next_chars; + std::vector prefix; + std::vector next_chars; }; std::vector collect_prefix_and_next() { - std::string prefix; + std::vector prefix; std::vector result; collect_prefix_and_next(0, prefix, result); return result; } private: - void collect_prefix_and_next(size_t index, std::string & prefix, std::vector & out) { + void collect_prefix_and_next(size_t index, std::vector & prefix, std::vector & out) { if (!nodes[index].is_word) { if (!nodes[index].children.empty()) { - std::string chars; + std::vector chars; chars.reserve(nodes[index].children.size()); for (const auto & p : nodes[index].children) { chars.push_back(p.first); @@ -107,7 +114,7 @@ struct trie { } for (const auto & p : nodes[index].children) { - unsigned char ch = p.first; + uint32_t ch = p.first; auto child = p.second; prefix.push_back(ch); collect_prefix_and_next(child, prefix, out); @@ -123,11 +130,19 @@ struct trie { void insert(const std::string & word) { size_t current = 0; - for (unsigned char ch : word) { + size_t pos = 0; + while (pos < word.length()) { + auto result = common_parse_utf8_codepoint(word, pos); + if (result.status != utf8_parse_result::SUCCESS) { + break; + } + + uint32_t ch = result.codepoint; + pos += result.bytes_consumed; + auto it = nodes[current].children.find(ch); if (it == nodes[current].children.end()) { size_t child = create_node(); - nodes[child].depth = nodes[current].depth + 1; nodes[current].children[ch] = child; current = child; } else { @@ -286,6 +301,32 @@ struct parser_executor { parser_executor(const common_peg_arena & arena, common_peg_parse_context & ctx, size_t start) : arena(arena), ctx(ctx), start_pos(start) {} + std::string debug_indent() const { return std::string(ctx.parse_depth * 2, ' '); } + + std::string debug_input_snippet(size_t pos, size_t len = 60) const { + if (pos >= ctx.input.size()) { + return ""; + } + auto snippet = ctx.input.substr(pos, len); + // Escape newlines for display + std::string result; + for (char c : snippet) { + if (c == '\n') { + result += "\\n"; + } else if (c == '\r') { + result += "\\r"; + } else if (c == '\t') { + result += "\\t"; + } else { + result += c; + } + } + if (pos + len < ctx.input.size()) { + result += "..."; + } + return result; + } + common_peg_parse_result operator()(const common_peg_epsilon_parser & /* p */) const { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos); } @@ -323,12 +364,39 @@ struct parser_executor { } common_peg_parse_result operator()(const common_peg_sequence_parser & p) { + if (ctx.debug) { + LOG_DBG("%sSEQ start at %zu '%s' (%zu children)\n", debug_indent().c_str(), start_pos, + debug_input_snippet(start_pos).c_str(), p.children.size()); + } + ctx.parse_depth++; + auto pos = start_pos; std::vector nodes; - for (const auto & child_id : p.children) { + for (size_t i = 0; i < p.children.size(); i++) { + const auto & child_id = p.children[i]; + if (ctx.debug) { + fprintf(stderr, "%sSEQ child %zu: %s\n", debug_indent().c_str(), i, arena.dump(child_id).c_str()); + } auto result = arena.parse(child_id, ctx, pos); + + if (ctx.debug) { + fprintf(stderr, "%sSEQ child %zu: %s at %zu->%zu\n", debug_indent().c_str(), i, + common_peg_parse_result_type_name(result.type), result.start, result.end); + } + if (result.fail()) { + ctx.parse_depth--; + if (ctx.is_partial && result.end >= ctx.input.size()) { + if (ctx.debug) { + fprintf(stderr, "%sSEQ -> NEED_MORE (child failed at end)\n", debug_indent().c_str()); + } + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, + std::move(nodes)); + } + if (ctx.debug) { + fprintf(stderr, "%sSEQ -> FAIL\n", debug_indent().c_str()); + } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, result.end); } @@ -337,28 +405,65 @@ struct parser_executor { } if (result.need_more_input()) { + ctx.parse_depth--; + if (ctx.debug) { + fprintf(stderr, "%sSEQ -> NEED_MORE\n", debug_indent().c_str()); + } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, std::move(nodes)); } pos = result.end; } + ctx.parse_depth--; + if (ctx.debug) { + fprintf(stderr, "%sSEQ -> SUCCESS at %zu->%zu\n", debug_indent().c_str(), start_pos, pos); + } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos, std::move(nodes)); } common_peg_parse_result operator()(const common_peg_choice_parser & p) { + if (ctx.debug) { + fprintf(stderr, "%sCHOICE start at %zu '%s' (%zu options)\n", debug_indent().c_str(), start_pos, + debug_input_snippet(start_pos).c_str(), p.children.size()); + } + ctx.parse_depth++; + auto pos = start_pos; - for (const auto & child_id : p.children) { + for (size_t i = 0; i < p.children.size(); i++) { + const auto & child_id = p.children[i]; + if (ctx.debug) { + fprintf(stderr, "%sCHOICE option %zu: %s\n", debug_indent().c_str(), i, arena.dump(child_id).c_str()); + } auto result = arena.parse(child_id, ctx, pos); + if (ctx.debug) { + fprintf(stderr, "%sCHOICE option %zu: %s\n", debug_indent().c_str(), i, + common_peg_parse_result_type_name(result.type)); + } if (!result.fail()) { + ctx.parse_depth--; + if (ctx.debug) { + fprintf(stderr, "%sCHOICE -> %s (option %zu)\n", debug_indent().c_str(), + common_peg_parse_result_type_name(result.type), i); + } return result; } } + ctx.parse_depth--; + if (ctx.debug) { + fprintf(stderr, "%sCHOICE -> FAIL (no options matched)\n", debug_indent().c_str()); + } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } common_peg_parse_result operator()(const common_peg_repetition_parser & p) { + if (ctx.debug) { + fprintf(stderr, "%sREPEAT start at %zu '%s' (min=%d, max=%d)\n", debug_indent().c_str(), start_pos, + debug_input_snippet(start_pos).c_str(), p.min_count, p.max_count); + } + ctx.parse_depth++; + auto pos = start_pos; int match_count = 0; std::vector nodes; @@ -366,14 +471,26 @@ struct parser_executor { // Try to match up to max_count times (or unlimited if max_count is -1) while (p.max_count == -1 || match_count < p.max_count) { if (pos >= ctx.input.size()) { + if (ctx.debug) { + fprintf(stderr, "%sREPEAT: at end of input, count=%d\n", debug_indent().c_str(), match_count); + } break; } auto result = arena.parse(p.child, ctx, pos); + if (ctx.debug) { + fprintf(stderr, "%sREPEAT iter %d: %s at %zu->%zu, nodes=%zu\n", debug_indent().c_str(), match_count, + common_peg_parse_result_type_name(result.type), result.start, result.end, result.nodes.size()); + fprintf(stderr, "%sREPEAT CHILD: %s\n", debug_indent().c_str(), arena.dump(p.child).c_str()); + } + if (result.success()) { // Prevent infinite loop on empty matches if (result.end == pos) { + if (ctx.debug) { + fprintf(stderr, "%s REPEAT: empty match, stopping\n", debug_indent().c_str()); + } break; } @@ -391,21 +508,43 @@ struct parser_executor { nodes.insert(nodes.end(), result.nodes.begin(), result.nodes.end()); } + ctx.parse_depth--; + if (ctx.debug) { + fprintf(stderr, "%sREPEAT -> NEED_MORE (count=%d, nodes=%zu)\n", debug_indent().c_str(), + match_count, nodes.size()); + } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, std::move(nodes)); } // Child failed - stop trying + if (ctx.debug) { + fprintf(stderr, "%sREPEAT: child failed, stopping\n", debug_indent().c_str()); + } break; } // Check if we got enough matches if (p.min_count > 0 && match_count < p.min_count) { + ctx.parse_depth--; if (pos >= ctx.input.size() && ctx.is_partial) { + if (ctx.debug) { + fprintf(stderr, "%sREPEAT -> NEED_MORE (not enough matches: %d < %d)\n", debug_indent().c_str(), + match_count, p.min_count); + } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos, std::move(nodes)); } + if (ctx.debug) { + fprintf(stderr, "%sREPEAT -> FAIL (not enough matches: %d < %d)\n", debug_indent().c_str(), match_count, + p.min_count); + } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos); } + ctx.parse_depth--; + if (ctx.debug) { + fprintf(stderr, "%sREPEAT -> SUCCESS (count=%d, nodes=%zu)\n", debug_indent().c_str(), match_count, + nodes.size()); + } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos, std::move(nodes)); } @@ -434,7 +573,7 @@ struct parser_executor { common_peg_parse_result operator()(const common_peg_any_parser & /* p */) const { // Parse a single UTF-8 codepoint (not just a single byte) - auto result = parse_utf8_codepoint(ctx.input, start_pos); + auto result = common_parse_utf8_codepoint(ctx.input, start_pos); if (result.status == utf8_parse_result::INCOMPLETE) { if (!ctx.is_partial) { @@ -468,7 +607,7 @@ struct parser_executor { // Try to match up to max_count times (or unlimited if max_count is -1) while (p.max_count == -1 || match_count < p.max_count) { - auto result = parse_utf8_codepoint(ctx.input, pos); + auto result = common_parse_utf8_codepoint(ctx.input, pos); if (result.status == utf8_parse_result::INCOMPLETE) { if (match_count >= p.min_count) { @@ -537,6 +676,7 @@ struct parser_executor { switch (ctx.input[pos]) { case '"': + case '\'': case '\\': case '/': case 'b': @@ -589,7 +729,49 @@ struct parser_executor { return result; } } else { - auto utf8_result = parse_utf8_codepoint(ctx.input, pos); + auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos); + + if (utf8_result.status == utf8_parse_result::INCOMPLETE) { + if (!ctx.is_partial) { + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); + } + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); + } + + if (utf8_result.status == utf8_parse_result::INVALID) { + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); + } + + pos += utf8_result.bytes_consumed; + } + } + + // Reached end without finding closing quote + if (!ctx.is_partial) { + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos); + } + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); + } + + common_peg_parse_result operator()(const common_peg_python_dict_string_parser & /* p */) { + auto pos = start_pos; + + // Parse string content (without quotes) + while (pos < ctx.input.size()) { + char c = ctx.input[pos]; + + if (c == '\'') { + // Found closing quote - success (don't consume it) + return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos); + } + + if (c == '\\') { + auto result = handle_escape_sequence(ctx, start_pos, pos); + if (!result.success()) { + return result; + } + } else { + auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos); if (utf8_result.status == utf8_parse_result::INCOMPLETE) { if (!ctx.is_partial) { @@ -621,7 +803,7 @@ struct parser_executor { size_t last_valid_pos = start_pos; while (pos < ctx.input.size()) { - auto utf8_result = parse_utf8_codepoint(ctx.input, pos); + auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos); if (utf8_result.status == utf8_parse_result::INCOMPLETE) { // Incomplete UTF-8 sequence @@ -694,6 +876,9 @@ struct parser_executor { common_peg_parse_result operator()(const common_peg_tag_parser & p) { // Parse the child + if (ctx.debug) { + fprintf(stderr, "%sTAG: %s\n", debug_indent().c_str(), p.tag.c_str()); + } auto result = arena.parse(p.child, ctx, start_pos); if (!result.fail()) { @@ -755,6 +940,31 @@ common_peg_parser_id common_peg_arena::resolve_ref(common_peg_parser_id id) { return id; } +static void bfs_node(common_peg_ast_arena &arena, std::ostringstream & oss, const common_peg_ast_node & node, int indent) { + for (int i = 0; i < indent; i++) { + oss << " "; + } + oss << "NODE " << node.id; + if (!node.rule.empty()) { + oss << " (rule " << node.rule << ")"; + } + if (!node.tag.empty()) { + oss << " (tag " << node.tag << ")"; + } + oss << " ['" << node.text << "']\n"; + for (const auto child : node.children) { + bfs_node(arena, oss, arena.get(child), indent + 1); + } +} + +std::string common_peg_ast_arena::dump() { + std::ostringstream oss; + for (auto & node : nodes_) { + bfs_node(*this, oss, node, 0); + } + return oss.str(); +} + void common_peg_arena::resolve_refs() { // Walk through all parsers and replace refs with their corresponding rule IDs for (auto & parser : parsers_) { @@ -786,6 +996,7 @@ void common_peg_arena::resolve_refs() { std::is_same_v || std::is_same_v || std::is_same_v || + std::is_same_v || std::is_same_v || std::is_same_v || std::is_same_v) { @@ -803,9 +1014,21 @@ void common_peg_arena::resolve_refs() { } std::string common_peg_arena::dump(common_peg_parser_id id) const { + std::unordered_set visited; + return dump_impl(id, visited); +} + +std::string common_peg_arena::dump_impl(common_peg_parser_id id, + std::unordered_set & visited) const { + // Check for cycles + if (visited.count(id)) { + return "[cycle]"; + } + visited.insert(id); + const auto & parser = parsers_.at(id); - return std::visit([this](const auto & p) -> std::string { + return std::visit([this, &visited](const auto & p) -> std::string { using T = std::decay_t; if constexpr (std::is_same_v) { @@ -819,24 +1042,27 @@ std::string common_peg_arena::dump(common_peg_parser_id id) const { } else if constexpr (std::is_same_v) { std::vector parts; for (const auto & child : p.children) { - parts.push_back(dump(child)); + parts.push_back(dump_impl(child, visited)); } return "Sequence(" + string_join(parts, ", ") + ")"; } else if constexpr (std::is_same_v) { std::vector parts; for (const auto & child : p.children) { - parts.push_back(dump(child)); + parts.push_back(dump_impl(child, visited)); } return "Choice(" + string_join(parts, ", ") + ")"; } else if constexpr (std::is_same_v) { if (p.max_count == -1) { - return "Repetition(" + dump(p.child) + ", " + std::to_string(p.min_count) + ", unbounded)"; + return "Repetition(" + dump_impl(p.child, visited) + ", " + std::to_string(p.min_count) + + ", unbounded)"; } - return "Repetition(" + dump(p.child) + ", " + std::to_string(p.min_count) + ", " + std::to_string(p.max_count) + ")"; + return "Repetition(" + dump_impl(p.child, visited) + ", " + std::to_string(p.min_count) + ", " + std::to_string(p.max_count) + ")"; } else if constexpr (std::is_same_v) { - return "And(" + dump(p.child) + ")"; + return "And(" + dump_impl(p.child, visited) + ")"; } else if constexpr (std::is_same_v) { - return "Not(" + dump(p.child) + ")"; + return "Not(" + dump_impl(p.child, visited) + ")"; + } else if constexpr (std::is_same_v) { + return "Atomic(" + dump_impl(p.child, visited) + ")"; } else if constexpr (std::is_same_v) { return "Any"; } else if constexpr (std::is_same_v) { @@ -848,14 +1074,20 @@ std::string common_peg_arena::dump(common_peg_parser_id id) const { return "CharRepeat(" + p.pattern + ", " + std::to_string(p.min_count) + ", " + std::to_string(p.max_count) + ")"; } else if constexpr (std::is_same_v) { return "JsonString()"; + } else if constexpr (std::is_same_v) { + return "PythonDictString()"; } else if constexpr (std::is_same_v) { return "Until(" + string_join(p.delimiters, " | ") + ")"; } else if constexpr (std::is_same_v) { - return "Schema(" + dump(p.child) + ", " + (p.schema ? p.schema->dump() : "null") + ")"; + return "Schema(" + dump_impl(p.child, visited) + ", " + (p.schema ? p.schema->dump() : "null") + ")"; } else if constexpr (std::is_same_v) { - return "Rule(" + p.name + ", " + dump(p.child) + ")"; + return "Rule(" + p.name + ", " + dump_impl(p.child, visited) + ")"; } else if constexpr (std::is_same_v) { return "Ref(" + p.name + ")"; + } else if constexpr (std::is_same_v) { + return "Tag(" + p.tag + ", " + dump(p.child) + ")"; + } else if constexpr (std::is_same_v) { + return "Atomic(" + dump(p.child) + ")"; } else { return "Unknown"; } @@ -1054,7 +1286,54 @@ common_peg_arena common_peg_parser_builder::build() { return std::move(arena_); } +// String primitives + +common_peg_parser common_peg_parser_builder::json_string_content() { + return wrap(arena_.add_parser(common_peg_json_string_parser{})); +} + +common_peg_parser common_peg_parser_builder::single_quoted_string_content() { + return wrap(arena_.add_parser(common_peg_python_dict_string_parser{})); +} + +common_peg_parser common_peg_parser_builder::double_quoted_string() { + return rule("dq-string", + [this]() { return sequence({ literal("\""), json_string_content(), literal("\""), space() }); }); +} + +common_peg_parser common_peg_parser_builder::single_quoted_string() { + return rule("sq-string", + [this]() { return sequence({ literal("'"), single_quoted_string_content(), literal("'"), space() }); }); +} + +common_peg_parser common_peg_parser_builder::flexible_string() { + return rule("flexible-string", [this]() { return choice({ double_quoted_string(), single_quoted_string() }); }); +} + +// Generic helpers for object/array structure + +common_peg_parser common_peg_parser_builder::generic_object(const std::string & name, + const common_peg_parser & string_parser, + const common_peg_parser & value_parser) { + return rule(name, [this, string_parser, value_parser]() { + auto ws = space(); + auto member = sequence({ string_parser, ws, literal(":"), ws, value_parser }); + auto members = sequence({ member, zero_or_more(sequence({ ws, literal(","), ws, member })) }); + return sequence({ literal("{"), ws, choice({ literal("}"), sequence({ members, ws, literal("}") }) }) }); + }); +} + +common_peg_parser common_peg_parser_builder::generic_array(const std::string & name, + const common_peg_parser & value_parser) { + return rule(name, [this, value_parser]() { + auto ws = space(); + auto elements = sequence({ value_parser, zero_or_more(sequence({ literal(","), ws, value_parser })) }); + return sequence({ literal("["), ws, choice({ literal("]"), sequence({ elements, ws, literal("]") }) }) }); + }); +} + // JSON parsers + common_peg_parser common_peg_parser_builder::json_number() { return rule("json-number", [this]() { auto digit1_9 = chars("[1-9]", 1, 1); @@ -1062,7 +1341,11 @@ common_peg_parser common_peg_parser_builder::json_number() { auto int_part = choice({literal("0"), sequence({digit1_9, chars("[0-9]", 0, -1)})}); auto frac = sequence({literal("."), digits}); auto exp = sequence({choice({literal("e"), literal("E")}), optional(chars("[+-]", 1, 1)), digits}); - return sequence({optional(literal("-")), int_part, optional(frac), optional(exp), space()}); + // Negative lookahead: only commit the number when the next character can't extend it. + // At EOF in partial mode, chars returns NEED_MORE → negate propagates NEED_MORE → number not committed. + // This prevents premature commits of partial numbers (e.g. "3" when "3.14" is incoming). + auto not_number_continuation = negate(chars("[0-9.eE+-]", 1, 1)); + return sequence({ optional(literal("-")), int_part, optional(frac), optional(exp), not_number_continuation, space() }); }); } @@ -1085,36 +1368,11 @@ common_peg_parser common_peg_parser_builder::json_null() { } common_peg_parser common_peg_parser_builder::json_object() { - return rule("json-object", [this]() { - auto ws = space(); - auto member = sequence({json_string(), ws, literal(":"), ws, json()}); - auto members = sequence({member, zero_or_more(sequence({ws, literal(","), ws, member}))}); - return sequence({ - literal("{"), - ws, - choice({ - literal("}"), - sequence({members, ws, literal("}")}) - }), - ws - }); - }); + return generic_object("json-object", json_string(), json()); } common_peg_parser common_peg_parser_builder::json_array() { - return rule("json-array", [this]() { - auto ws = space(); - auto elements = sequence({json(), zero_or_more(sequence({literal(","), ws, json()}))}); - return sequence({ - literal("["), - ws, - choice({ - literal("]"), - sequence({elements, ws, literal("]")}) - }), - ws - }); - }); + return generic_array("json-array", json()); } common_peg_parser common_peg_parser_builder::json() { @@ -1130,8 +1388,40 @@ common_peg_parser common_peg_parser_builder::json() { }); } -common_peg_parser common_peg_parser_builder::json_string_content() { - return wrap(arena_.add_parser(common_peg_json_string_parser{})); +common_peg_parser common_peg_parser_builder::python_string() { + return rule("python-string", [this]() { return choice({ double_quoted_string(), single_quoted_string() }); }); +} + +common_peg_parser common_peg_parser_builder::python_number() { + return json_number(); +} + +common_peg_parser common_peg_parser_builder::python_bool() { + return rule("python-bool", [this]() { return sequence({ choice({ literal("True"), literal("False") }), space() }); }); +} + +common_peg_parser common_peg_parser_builder::python_null() { + return rule("python-none", [this]() { return sequence({ literal("None"), space() }); }); +} + +common_peg_parser common_peg_parser_builder::python_dict() { + return generic_object("python-dict", python_string(), python_value()); +} + +common_peg_parser common_peg_parser_builder::python_array() { + return generic_array("python-array", python_value()); +} + +common_peg_parser common_peg_parser_builder::python_value() { + return rule("python-value", [this]() { + return choice({ python_dict(), python_array(), python_string(), python_number(), python_bool(), python_null() }); + }); +} + +common_peg_parser common_peg_parser_builder::marker() { + auto sharp_bracket_parser = literal("<") + until(">") + literal(">"); + auto square_bracket_parser = literal("[") + until("]") + literal("]"); + return choice({ sharp_bracket_parser, square_bracket_parser }); } common_peg_parser common_peg_parser_builder::json_member(const std::string & key, const common_peg_parser & p) { @@ -1145,17 +1435,54 @@ common_peg_parser common_peg_parser_builder::json_member(const std::string & key }); } - -static std::string gbnf_escape_char_class(char c) { - switch (c) { - case '\n': return "\\n"; - case '\t': return "\\t"; - case '\r': return "\\r"; - case '\\': return "\\\\"; - case ']': return "\\]"; - case '[': return "\\["; - default: return std::string(1, c); +static std::string gbnf_escape_char_class(uint32_t c) { + if (c == '-' || c == ']' || c == '[' || c == '\\') { + return "\\" + std::string(1, (char) c); } + // Escape whitespace control characters + if (c == '\n') { + return "\\n"; + } + if (c == '\t') { + return "\\t"; + } + if (c == '\r') { + return "\\r"; + } + + // Printable ASCII + if (c >= 0x20 && c <= 0x7E) { + return std::string(1, (char) c); + } + + // Hex escape + char buf[16]; + const char * hex = "0123456789ABCDEF"; + + if (c <= 0xFF) { + buf[0] = '\\'; + buf[1] = 'x'; + buf[2] = hex[(c >> 4) & 0xF]; + buf[3] = hex[c & 0xF]; + buf[4] = '\0'; + } else if (c <= 0xFFFF) { + buf[0] = '\\'; + buf[1] = 'u'; + buf[2] = hex[(c >> 12) & 0xF]; + buf[3] = hex[(c >> 8) & 0xF]; + buf[4] = hex[(c >> 4) & 0xF]; + buf[5] = hex[c & 0xF]; + buf[6] = '\0'; + } else { + buf[0] = '\\'; + buf[1] = 'U'; + for (int i = 0; i < 8; i++) { + buf[2 + i] = hex[(c >> ((7 - i) * 4)) & 0xF]; + } + buf[10] = '\0'; + } + + return std::string(buf); } static std::string gbnf_excluding_pattern(const std::vector & strings) { @@ -1173,12 +1500,12 @@ static std::string gbnf_excluding_pattern(const std::vector & strin std::string cls; cls.reserve(chars.size()); - for (const auto & ch : chars) { + for (uint32_t ch : chars) { cls += gbnf_escape_char_class(ch); } if (!pre.empty()) { - pattern += gbnf_format_literal(pre) + " [^" + cls + "]"; + pattern += gbnf_format_literal(common_unicode_cpts_to_utf8(pre)) + " [^" + cls + "]"; } else { pattern += "[^" + cls + "]"; } @@ -1208,7 +1535,8 @@ static std::unordered_set collect_reachable_rules( std::is_same_v || std::is_same_v || std::is_same_v || - std::is_same_v) { + std::is_same_v || + std::is_same_v) { // These parsers do not have any children } else if constexpr (std::is_same_v) { for (auto child : p.children) { @@ -1346,6 +1674,8 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo return result + "{" + std::to_string(p.min_count) + "," + std::to_string(p.max_count) + "}"; } else if constexpr (std::is_same_v) { return R"(( [^"\\] | "\\" ( ["\\/ bfnrt] | "u" [0-9a-fA-F]{4} ) )*)"; + } else if constexpr (std::is_same_v) { + return R"(( [^"\\] | "\\" ( ["\\/ bfnrt] | "u" [0-9a-fA-F]{4} ) )*)"; } else if constexpr (std::is_same_v) { if (p.delimiters.empty()) { return ".*"; @@ -1477,6 +1807,8 @@ static nlohmann::json serialize_parser_variant(const common_peg_parser_variant & }; } else if constexpr (std::is_same_v) { return json{{"type", "json_string"}}; + } else if constexpr (std::is_same_v) { + return json{{ "type", "python_dict_string" }}; } else if constexpr (std::is_same_v) { return json{{"type", "until"}, {"delimiters", p.delimiters}}; } else if constexpr (std::is_same_v) { @@ -1606,6 +1938,9 @@ static common_peg_parser_variant deserialize_parser_variant(const nlohmann::json if (type == "json_string") { return common_peg_json_string_parser{}; } + if (type == "python_dict_string") { + return common_peg_python_dict_string_parser{}; + } if (type == "until") { if (!j.contains("delimiters") || !j["delimiters"].is_array()) { throw std::runtime_error("until parser missing or invalid 'delimiters' field"); diff --git a/common/peg-parser.h b/common/peg-parser.h index 1cd640365f..57d4bcd8ea 100644 --- a/common/peg-parser.h +++ b/common/peg-parser.h @@ -4,6 +4,7 @@ #include #include +#include #include #include #include @@ -111,6 +112,8 @@ class common_peg_ast_arena { void visit(common_peg_ast_id id, const common_peg_ast_visitor & visitor) const; void visit(const common_peg_parse_result & result, const common_peg_ast_visitor & visitor) const; + + std::string dump(); }; struct common_peg_parse_result { @@ -139,6 +142,7 @@ struct common_peg_parse_result { struct common_peg_parse_context { std::string input; bool is_partial; + bool debug = false; // Enable debug output for parser tracing common_peg_ast_arena ast; int parse_depth; @@ -207,6 +211,7 @@ struct common_peg_chars_parser { }; struct common_peg_json_string_parser {}; +struct common_peg_python_dict_string_parser {}; struct common_peg_until_parser { std::vector delimiters; @@ -255,6 +260,7 @@ using common_peg_parser_variant = std::variant< common_peg_space_parser, common_peg_chars_parser, common_peg_json_string_parser, + common_peg_python_dict_string_parser, common_peg_until_parser, common_peg_schema_parser, common_peg_rule_parser, @@ -299,6 +305,8 @@ class common_peg_arena { friend class common_peg_parser_builder; private: + std::string dump_impl(common_peg_parser_id id, std::unordered_set & visited) const; + common_peg_parser_id add_parser(common_peg_parser_variant parser); void add_rule(const std::string & name, common_peg_parser_id id); @@ -311,6 +319,10 @@ class common_peg_parser_builder { common_peg_parser wrap(common_peg_parser_id id) { return common_peg_parser(id, *this); } common_peg_parser add(const common_peg_parser_variant & p) { return wrap(arena_.add_parser(p)); } + // Generic helpers for building object/array structures with configurable string/value parsers. + common_peg_parser generic_object(const std::string & name, const common_peg_parser & string_parser, const common_peg_parser & value_parser); + common_peg_parser generic_array(const std::string & name, const common_peg_parser & value_parser); + public: common_peg_parser_builder(); @@ -404,6 +416,21 @@ class common_peg_parser_builder { // S -> A{n} common_peg_parser repeat(const common_peg_parser & p, int n) { return repeat(p, n, n); } + // Matches a double-quoted string: '"' content '"' space + common_peg_parser double_quoted_string(); + + // Matches a single-quoted string: "'" content "'" space + common_peg_parser single_quoted_string(); + + // Matches a string that accepts both double-quoted and single-quoted styles. + common_peg_parser flexible_string(); + + // Matches double-quoted string content without the surrounding quotes. + common_peg_parser json_string_content(); + + // Matches single-quoted string content without the surrounding quotes. + common_peg_parser single_quoted_string_content(); + // Creates a complete JSON parser supporting objects, arrays, strings, numbers, booleans, and null. // value -> object | array | string | number | true | false | null common_peg_parser json(); @@ -414,14 +441,24 @@ class common_peg_parser_builder { common_peg_parser json_bool(); common_peg_parser json_null(); - // Matches JSON string content without the surrounding quotes. - // Useful for extracting content within a JSON string. - common_peg_parser json_string_content(); - // Matches a JSON object member with a key and associated parser as the // value. common_peg_parser json_member(const std::string & key, const common_peg_parser & p); + // Creates a complete Python format parser supporting dicts, arrays, strings, numbers, booleans, and None. + // Differs from JSON: uses True/False/None, accepts both single and double-quoted strings. + // value -> dict | array | string | number | True | False | None + common_peg_parser python_value(); + common_peg_parser python_dict(); + common_peg_parser python_string(); + common_peg_parser python_array(); + common_peg_parser python_number(); + common_peg_parser python_bool(); + common_peg_parser python_null(); + + // A marker, i.e. text delimited by a pair of <> or [] + common_peg_parser marker(); + // Wraps a parser with JSON schema metadata for grammar generation. // Used internally to convert JSON schemas to GBNF grammar rules. common_peg_parser schema(const common_peg_parser & p, const std::string & name, const nlohmann::ordered_json & schema, bool raw = false); diff --git a/common/unicode.cpp b/common/unicode.cpp index 56ab0f468e..c0ef6d0292 100644 --- a/common/unicode.cpp +++ b/common/unicode.cpp @@ -1,14 +1,18 @@ #include "unicode.h" +#include +#include +#include +#include // implementation adopted from src/unicode.cpp -size_t utf8_sequence_length(unsigned char first_byte) { +size_t common_utf8_sequence_length(unsigned char first_byte) { const size_t lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 }; uint8_t highbits = static_cast(first_byte) >> 4; return lookup[highbits]; } -utf8_parse_result parse_utf8_codepoint(std::string_view input, size_t offset) { +utf8_parse_result common_parse_utf8_codepoint(std::string_view input, size_t offset) { if (offset >= input.size()) { return utf8_parse_result(utf8_parse_result::INCOMPLETE); } @@ -62,3 +66,43 @@ utf8_parse_result parse_utf8_codepoint(std::string_view input, size_t offset) { // Invalid first byte return utf8_parse_result(utf8_parse_result::INVALID); } + +std::string common_unicode_cpts_to_utf8(const std::vector & cps) { + std::string result; + for (size_t i = 0; i < cps.size(); ++i) { + result.append(common_unicode_cpt_to_utf8(cps[i])); + } + return result; +} + +std::string common_unicode_cpt_to_utf8(uint32_t cpt) { + std::string result; + + if (/* 0x00 <= cpt && */ cpt <= 0x7f) { + result.push_back(cpt); + return result; + } + if (0x80 <= cpt && cpt <= 0x7ff) { + result.push_back(0xc0 | ((cpt >> 6) & 0x1f)); + result.push_back(0x80 | (cpt & 0x3f)); + return result; + } + if (0x800 <= cpt && cpt <= 0xffff) { + result.push_back(0xe0 | ((cpt >> 12) & 0x0f)); + result.push_back(0x80 | ((cpt >> 6) & 0x3f)); + result.push_back(0x80 | (cpt & 0x3f)); + return result; + } + if (0x10000 <= cpt && cpt <= 0x10ffff) { + result.push_back(0xf0 | ((cpt >> 18) & 0x07)); + result.push_back(0x80 | ((cpt >> 12) & 0x3f)); + result.push_back(0x80 | ((cpt >> 6) & 0x3f)); + result.push_back(0x80 | (cpt & 0x3f)); + return result; + } + + throw std::invalid_argument("invalid codepoint"); +} + + + diff --git a/common/unicode.h b/common/unicode.h index 9d9e8e1227..87bcc0ffca 100644 --- a/common/unicode.h +++ b/common/unicode.h @@ -2,6 +2,8 @@ #include #include +#include +#include // UTF-8 parsing utilities for streaming-aware unicode support @@ -16,7 +18,10 @@ struct utf8_parse_result { // Determine the expected length of a UTF-8 sequence from its first byte // Returns 0 for invalid first bytes -size_t utf8_sequence_length(unsigned char first_byte); +size_t common_utf8_sequence_length(unsigned char first_byte); // Parse a single UTF-8 codepoint from input -utf8_parse_result parse_utf8_codepoint(std::string_view input, size_t offset); +utf8_parse_result common_parse_utf8_codepoint(std::string_view input, size_t offset); + +std::string common_unicode_cpts_to_utf8(const std::vector & cps); +std::string common_unicode_cpt_to_utf8(uint32_t cpt); diff --git a/docs/autoparser.md b/docs/autoparser.md new file mode 100644 index 0000000000..686b2c249b --- /dev/null +++ b/docs/autoparser.md @@ -0,0 +1,525 @@ +# Auto-Parser Architecture + +The auto-parser automatically analyzes chat templates to determine how to parse model outputs, including content, reasoning, and tool calls. + +## Overview + +The unified auto-parser uses a pure differential, compositional approach (inspired by the `git diff` algorithm) to analyze chat templates: + +**Core Philosophy**: + +- **Minimize Hardcoded Patterns**: All markers extracted through template comparison (the only heuristic is JSON detection to distinguish `JSON_NATIVE` from tag-based formats) +- **Compositional Architecture**: Separate analyzer structs for reasoning, content, and tools — each responsible for its own analysis and parser construction + +**Analysis + Parser Building in Two Steps**: + +1. `autoparser::autoparser tmpl_analysis(tmpl)` — runs all differential comparisons and populates the analysis structs +2. `autoparser::peg_generator::generate_parser(tmpl, params, tmpl_analysis)` — uses the analysis to build a PEG parser and optional GBNF grammar + +## Data Structures + +All structs are defined in [common/chat-auto-parser.h](common/chat-auto-parser.h). + +### Top-Level: `autoparser` (main analyzer and generator) + +[common/chat-auto-parser.h:367-388](common/chat-auto-parser.h#L367-L388) — top-level analysis result aggregating `jinja_caps`, `reasoning`, `content`, and `tools` sub-analyses, plus `preserved_tokens` (union of all non-empty markers). + +### `analyze_reasoning` + +[common/chat-auto-parser.h:254-274](common/chat-auto-parser.h#L254-L274) — reasoning analysis result: `mode` enum, `start` marker (e.g. ``), and `end` marker (e.g. ``). + +### `analyze_content` + +[common/chat-auto-parser.h:280-295](common/chat-auto-parser.h#L280-L295) — content analysis result: `mode` enum, `start`/`end` markers, and `requires_nonnull_content` flag. + +### `analyze_tools` and its sub-structs + +- [common/chat-auto-parser.h:176-194](common/chat-auto-parser.h#L176-L194) — `tool_format_analysis`: `mode` enum, `section_start/end`, `per_call_start/end`, JSON field names (`function_field`, `name_field`, `args_field`, `id_field`, `gen_id_field`), and format flags (`fun_name_is_key`, `tools_array_wrapped`, `uses_python_dicts`) +- [common/chat-auto-parser.h:196-200](common/chat-auto-parser.h#L196-L200) — `tool_function_analysis`: `name_prefix`, `name_suffix`, `close` markers around function names +- [common/chat-auto-parser.h:202-210](common/chat-auto-parser.h#L202-L210) — `tool_arguments_analysis`: `start/end` container markers, `name_prefix/suffix`, `value_prefix/suffix`, `separator` +- [common/chat-auto-parser.h:212-217](common/chat-auto-parser.h#L212-L217) — `tool_id_analysis`: `pos` enum, `prefix`/`suffix` markers around call ID values +- [common/chat-auto-parser.h:301-361](common/chat-auto-parser.h#L301-L361) — `analyze_tools`: aggregates the four sub-structs above + +### Enums + +**`reasoning_mode`**: How the template handles reasoning/thinking blocks. + +| Value | Description | +|-----------------|-----------------------------------------------------------------------------------| +| `NONE` | No reasoning markers detected | +| `TAG_BASED` | Standard tag-based: `...` | +| `DELIMITER` | Delimiter-based: reasoning ends at a delimiter (e.g., `[BEGIN FINAL RESPONSE]`) | +| `FORCED_OPEN` | Template ends with open reasoning tag when `enable_thinking=true` | +| `FORCED_CLOSED` | `enable_thinking=false` emits both tags; `enable_thinking=true` emits only start | +| `TOOLS_ONLY` | Reasoning only appears in tool call responses, not plain content | + +**`content_mode`**: How the template wraps assistant content. + +| Value | Description | +|--------------------------|----------------------------------------------------------------| +| `PLAIN` | No content markers | +| `ALWAYS_WRAPPED` | Content always wrapped: `...` | +| `WRAPPED_WITH_REASONING` | Content wrapped only when reasoning is present | + +**`tool_format`**: Classification of tool call structure. + +| Value | Description | +|------------------|------------------------------------------------------------------| +| `NONE` | No tool support detected | +| `JSON_NATIVE` | Pure JSON: `{"name": "X", "arguments": {...}}` | +| `TAG_WITH_JSON` | Tag-based with JSON args: `{...}` | +| `TAG_WITH_TAGGED`| Tag-based with tagged args: `value` | + +**`call_id_position`**: Where call IDs appear in tag-based formats. + +| Value | Description | +|--------------------------|----------------------------------------------| +| `NONE` | No call ID support detected | +| `PRE_FUNC_NAME` | Before function name | +| `BETWEEN_FUNC_AND_ARGS` | Between function name and arguments | +| `POST_ARGS` | After arguments | + +## Tool Calling Formats + +### JSON_NATIVE + +**Structure**: The entire tool call (function name, arguments, values) is in JSON format. Optional enclosing tags around the section. + +**Detection**: Function name appears inside a JSON structure (quotes preceded by `{` or `:`). + +**Examples**: + +Standard OpenAI-style: + +```json + +{"name": "get_weather", "arguments": {"location": "Paris", "unit": "celsius"}} + +``` + +Mistral Nemo with array wrapper: + +```json +[TOOL_CALLS] +[{"name": "calculate", "arguments": {"expr": "2+2"}}] +``` + +Function name as JSON key (Apertus style): + +```json +{"get_weather": {"location": "Paris"}} +``` + +--- + +### TAG_WITH_JSON + +**Structure**: Function name is outside JSON, in tag attributes or XML-style tags. Arguments are a JSON object. + +**Detection**: Function name not in JSON, but argument names appear in JSON context. + +**Examples**: + +Functionary v3.1: + +```xml +{"location": "Paris", "unit": "celsius"} +``` + +MiniMax: + +```xml + +calculate +{"expr": "2+2"} + +``` + +--- + +### TAG_WITH_TAGGED + +**Structure**: Both function name and argument names are in XML-style tags. String values are unquoted; non-string values are JSON-formatted. + +**Detection**: Neither function name nor argument names appear in a JSON context. + +**Examples**: + +Qwen/Hermes XML format: + +```xml + +Paris +celsius + +``` + +Mixed types: + +```xml + +2+2 +2 +{"round": true} + +``` + +String values (`Paris`, `celsius`, `2+2`) are unquoted; `options` (object type) is JSON-formatted. + +--- + +## Analysis Flow + +```text +autoparser::autoparser(tmpl) + | + |-- Phase 1: analyze_reasoning(tmpl, jinja_caps.supports_tool_calls) + | |-- R1: compare_reasoning_presence() — with/without reasoning_content field + | |-- R2: compare_thinking_enabled() — enable_thinking=false vs true + | '-- R3: compare_reasoning_scope() — reasoning+content vs reasoning+tools + | (only if supports_tool_calls) + | + |-- Phase 2: analyze_content(tmpl, reasoning) + | '-- C1: compares content-only vs tools output and content-only vs reasoning output + | + |-- Phase 3: analyze_tools(tmpl, jinja_caps, reasoning) + | (skipped entirely if !jinja_caps.supports_tool_calls) + | | + | |-- T1: analyze_tool_calls() — no tools vs with tools; classifies format + | | |-- JSON path → analyze_tool_call_format_json_native() + | | '-- tag path → analyze_tool_call_format_non_json() + | | + | (if format != NONE and format != JSON_NATIVE:) + | | + | |-- T2: check_per_call_markers() — 1 call vs 2 calls; moves section→per-call if needed + | | (only if supports_parallel_tool_calls) + | | + | |-- T3: extract_function_markers() — func_alpha vs func_beta; extracts name prefix/suffix/close + | | + | |-- T4: analyze_arguments() — (TAG_WITH_TAGGED only) + | | |-- A1: extract_argument_name_markers() — arg_name_A vs arg_name_B + | | '-- A2: extract_argument_value_markers() — value "XXXX" vs "YYYY" + | | + | |-- T5: extract_argument_separator() — 1 arg vs 2 args; finds separator between args + | | + | |-- T6: extract_args_markers() — 0 args vs 1 arg; finds args container markers + | | + | '-- T7: extract_call_id_markers() — call_id "call00001" vs "call99999" + | + '-- collect_preserved_tokens() — union of all non-empty markers + | + '-- apply workarounds() — post-hoc patches for edge-case templates + | + v +autoparser (analysis result) + | + v +autoparser::peg_generator::generate_parser(tmpl, inputs, analysis) + |-- analysis.build_parser(inputs) — builds PEG parser arena + | |-- reasoning.build_parser(ctx) — reasoning parser (mode-dependent) + | |-- content.build_parser(ctx) — content parser (mode-dependent) + | '-- tools.build_parser(ctx) — tool parser (dispatches by tool_format) + | |-- build_tool_parser_json_native() + | |-- build_tool_parser_tag_json() + | '-- build_tool_parser_tag_tagged() + | + |-- Build GBNF grammar (if tools present and trigger_marker non-empty) + '-- Set grammar_triggers from section_start or per_call_start + | + v +common_chat_params (prompt, parser, grammar, triggers, preserved_tokens) +``` + +## Entry Point + +The auto-parser is invoked in [common/chat.cpp:1280-1310](common/chat.cpp#L1280-L1310) in `common_chat_templates_apply_jinja`. A few specialized templates are handled first (Ministral/Magistral Large 3, GPT-OSS with `<|channel|>`, Functionary v3.2 with `>>>all`), then the auto-parser handles everything else via `autoparser::autoparser` + `peg_generator::generate_parser`. + +## Algorithm Details + +### Core Mechanism: Differential Comparison + +All analysis phases use the same factorized comparison function declared in [common/chat-auto-parser-helpers.h:68](common/chat-auto-parser-helpers.h#L68): + +```cpp +compare_variants(tmpl, params_A, params_modifier) +``` + +This creates variant B by applying a modifier lambda to a copy of `params_A`, renders both through the template, and computes a `diff_split` ([common/chat-auto-parser.h:28-37](common/chat-auto-parser.h#L28-L37)): + +- `prefix` — common prefix between A and B +- `suffix` — common suffix between A and B +- `left` — unique to variant A +- `right` — unique to variant B + +The diff is computed via `calculate_diff_split()`, which finds the longest-common-prefix and longest-common-suffix, then iteratively moves incomplete `<...>` or `[...]` markers from the prefix/suffix into left/right until stable (tag boundary fixing). + +Text is segmentized into markers and non-marker fragments using `segmentize_markers()`, which splits on `<...>` and `[...]` boundaries. + +### Phase 1: Reasoning Analysis + +**R1 — `compare_reasoning_presence()`**: Compares assistant message with vs without a `reasoning_content` field. + +- Searches `diff.right` (output with reasoning) for the reasoning content needle +- Uses PEG parsers to find surrounding markers: + - If both pre/post markers found in `diff.right` → `TAG_BASED` (both tags visible in diff = no forced close) + - If both found but post marker only in the full output B → `FORCED_CLOSED` + - If only post marker found → `DELIMITER` +- Sets `reasoning.start` and `reasoning.end` + +**R2 — `compare_thinking_enabled()`**: Compares `enable_thinking=false` vs `true` with a generation prompt. + +- Detects `FORCED_OPEN`: `enable_thinking=true` adds a non-empty marker at the end of the prompt (where model will start generating) — sets `reasoning.start`, mode = `FORCED_OPEN` +- Detects `FORCED_CLOSED`: `enable_thinking=false` produces both start+end markers; `enable_thinking=true` produces only start marker +- Handles the reverse case: if both start and end are still empty, looks for a single-segment diff on each side to extract both markers + +**R3 — `compare_reasoning_scope()`**: Compares assistant message with reasoning+text-content vs reasoning+tool-calls. + +- Only runs if `jinja_caps.supports_tool_calls` +- Detects `TOOLS_ONLY`: reasoning content present in B (with tools) but not in A (with text content) +- Extracts reasoning markers from the tool call output using PEG parsers + +### Phase 2: Content Analysis + +**C1**: Two comparisons in the `analyze_content` constructor: + +- Comparison 1: content-only output vs tool-call output → `diff_tools` +- Comparison 2: content-only output vs reasoning+empty-content output → `diff_reasoning` + +Classification logic: + +- `PLAIN`: `diff_tools.left` equals the response string (content is the entire diff, no wrapper) +- `ALWAYS_WRAPPED`: markers found surrounding the content text in `pure_content` → extracts `start`/`end` + +### Phase 3: Tool Call Analysis + +**T1 — `analyze_tool_calls()`**: Compares no-tools vs with-tools output. + +- Extracts the tool call section as `diff.right` +- Calls `analyze_tool_call_format()` which first strips reasoning markers from the haystack, then: + - Calls `in_json_haystack()` for both function name and argument name needles + - `in_json_haystack()` uses a PEG parser to check whether the needle appears in a JSON context (preceded by `{` or `:` with surrounding quotes) + - If function name is in JSON → `JSON_NATIVE` → `analyze_tool_call_format_json_native()` + - If function name not in JSON, arg name is in JSON → `TAG_WITH_JSON` + - If neither in JSON → `TAG_WITH_TAGGED` + - `analyze_tool_call_format_json_native()`: parses the JSON object, matches field values to needles to populate `name_field`, `args_field`, `id_field`, `gen_id_field`; detects `tools_array_wrapped`; extracts `section_start`/`section_end` + - `analyze_tool_call_format_non_json()`: uses PEG parsers on the haystack to find up to two opening markers (section + per-call) then up to two closing markers + +**T2 — `check_per_call_markers()`**: Compares 1 call vs 2 calls. + +- Computes a secondary diff of the second call portion vs the common suffix +- If the second call content starts with `section_start` → the section marker is actually per-call → moves `section_start/end` to `per_call_start/end` and clears the section markers + +**T3 — `extract_function_markers()`**: Compares function name `FUN_FIRST` vs `FUN_SECOND` (two different named functions). + +- Finds where the function name appears in `diff.left` +- Extracts `function.name_prefix` from the common prefix up to the function marker, and `function.name_suffix` from after the name up to the next marker +- Extends `name_suffix` into `diff.suffix` (to the first marker for TAG_WITH_TAGGED; to the first `{` or `[` for TAG_WITH_JSON) +- Extracts `function.close` from after the last argument value up to the per-call/section end marker + +**T4 — `analyze_arguments()`** (TAG_WITH_TAGGED only): + +- **A1 `extract_argument_name_markers()`**: Compares `arg_name_A` vs `arg_name_B` (two different argument names). + - Finds shared surrounding structure → `arguments.name_prefix`, `arguments.name_suffix` +- **A2 `extract_argument_value_markers()`**: Compares argument value `"XXXX"` vs `"YYYY"` (same arg, different value). + - Finds markers surrounding the value → `arguments.value_prefix`, `arguments.value_suffix` + +**T5 — `extract_argument_separator()`**: Compares 1 argument vs 2 arguments (same function). + +- Uses `until_common_prefix(diff.right, ARG_FIRST, ARG_SECOND)` to find what separates the two argument blocks + +**T6 — `extract_args_markers()`**: Compares 0 arguments vs 1 argument. + +- Uses `until_common_prefix()` and `after_common_suffix()` with the empty and single-arg JSON strings as anchors to find container markers (`arguments.start`, `arguments.end`) + +**T7 — `extract_call_id_markers()`**: Compares call IDs `"call00001"` vs `"call99999"`. + +- Determines whether function name appears in `diff.prefix` or `diff.suffix` to classify position: + - Function name in prefix only → `BETWEEN_FUNC_AND_ARGS` or `POST_ARGS` (further distinguished by where `{` appears) + - Function name in suffix only → `PRE_FUNC_NAME` +- Extracts `call_id.prefix` and `call_id.suffix` markers around the call ID value +- Clears `per_call_end` if it incorrectly incorporated the call ID suffix + +### Workarounds + +A workaround array in `common/chat-diff-analyzer.cpp` applies post-hoc patches after analysis. Each workaround is a lambda that inspects the template source and overrides analysis results. Current workarounds: + +1. **Old Qwen/DeepSeek thinking templates** — source contains `content.split('')`: sets `reasoning.mode = FORCED_OPEN` with ``/`` markers if no reasoning was detected +2. **Granite 3.3** — source contains specific "Write your thoughts" text: forces `TAG_BASED` reasoning with ``/`` and `WRAPPED_WITH_REASONING` content with ``/`` +3. **Cohere Command R+** — source contains `<|CHATBOT_TOKEN|>`: sets `ALWAYS_WRAPPED` content mode if no content start is already set +4. **Functionary 3.1** — source contains `set has_code_interpreter`: forces `PLAIN` content, specific `per_call_start/end`, clears preserved tokens to only keep Functionary-specific markers +5. **DeepSeek-R1-Distill-Qwen** — source contains `tool▁calls▁begin` markers: overrides tool section/per-call markers with the correct Unicode block characters + +### Parser Building + +Each analyzer struct (`analyze_reasoning`, `analyze_content`, `analyze_tools`) implements `build_parser(parser_build_context&)`. They share a `parser_build_context` that carries the PEG builder, inference inputs, the pre-built reasoning parser, and a pointer to the content analyzer. + +#### Reasoning Parser (`analyze_reasoning::build_parser`) + +| Mode | Parser | +|-----------------------------------|---------------------------------------------------------------------| +| Not extracting reasoning | `eps()` | +| `FORCED_OPEN` or `FORCED_CLOSED` | `reasoning(until(end)) + end` — opening tag was in the prompt | +| `TAG_BASED` or `TOOLS_ONLY` | `optional(start + reasoning(until(end)) + end)` | +| `DELIMITER` | `optional(reasoning(until(end)) + end)` — no start marker | + +#### Content Parser (`analyze_content::build_parser`) + +| Condition | Parser | +|----------------------------------------|---------------------------------------------------------------------------------| +| `json_schema` present | `reasoning + space() + content(schema(json(), "response-format", ...)) + end()` | +| Tools present | Dispatches to `analyze_tools::build_parser()` | +| `ALWAYS_WRAPPED` with reasoning | `reasoning + start + content(until(end)) + end + end()` | +| `ALWAYS_WRAPPED` without reasoning | `content(until(start)) + start + content(until(end)) + end + end()` | +| Default (PLAIN) | `reasoning + content(rest()) + end()` | + +#### Tool Parsers (`analyze_tools::build_parser`) + +Dispatches by `format.mode`: + +**`build_tool_parser_json_native()`**: Calls `p.standard_json_tools()` which internally dispatches to: + +- `build_json_tools_function_is_key()` — function name is the JSON key: `{"get_weather": {...}}` +- `build_json_tools_nested_keys()` — nested: `{"function": {"name": "X", "arguments": {...}}}` +- `build_json_tools_flat_keys()` — flat: `{"name": "X", "arguments": {...}}` + +Handles content wrappers, array wrapping (`tools_array_wrapped`), parallel calls, and `parameter_order`. + +**`build_tool_parser_tag_json()`**: For each tool function: + +```text +tool_open(name_prefix + tool_name(literal(name)) + name_suffix) + + call_id_section + + tool_args(schema(json(), tool_schema)) + [+ function.close if non-empty] +``` + +Wrapped in per-call markers (with optional parallel call repetition) then optionally in section markers. + +**`build_tool_parser_tag_tagged()`**: For each tool function, builds one parser per argument: + +- String types: `tool_arg_string_value(schema(until(value_suffix), ...))` +- JSON types: `tool_arg_json_value(schema(json(), ...))` +- Required args are plain; optional args wrapped in `optional()` +- Arguments joined with `space()` between consecutive parsers + +For closing: uses `function.close` if present; otherwise uses `peek(per_call_end)` to avoid premature close during partial streaming; falls back to `tool_close(space())` to trigger mapper callbacks. + +All three tool parsers return: + +```text +reasoning + optional(content(until(trigger_marker))) + tool_calls + end() +``` + +### Python Dict Format + +When `format.uses_python_dicts` is true (detected when single-quoted strings appear in JSON argument context), `build_parser()` pre-registers a `json-string` rule that accepts both single-quoted and double-quoted strings. This is done before any `p.json()` call so all JSON parsing inherits the flexible rule. + +## Mapper + +`common_chat_peg_mapper` maps PEG parse results (AST nodes) into `common_chat_msg` structures. Key design: + +- **Buffered arguments**: Before `tool_name` is known, argument text goes to `args_buffer`; once the name is set, the buffer is flushed to `current_tool->arguments` +- **`args_target()`**: Returns a reference to whichever destination is currently active (buffer or tool args), eliminating branching +- **`closing_quote_pending`**: Tracks whether a closing `"` needs to be appended when a string argument value is finalized (for schema-declared string types in tagged format) +- **Quote normalization**: Python-style quotes (`'key': 'value'`) are converted to JSON (`"key": "value"`) +- **Brace auto-closing**: At tool close, unclosed `{` braces are closed automatically + +## Files + +| File | Purpose | +|-------------------------------------------|----------------------------------------------------------------------| +| `common/chat-auto-parser.h` | All analysis structs, enums, `autoparser`, `peg_generator`, `templates_params` | +| `common/chat-auto-parser-generator.cpp` | Parser generator: `generate_parser()` and `build_parser()` methods | +| `common/chat-diff-analyzer.cpp` | Differential analysis implementation and workarounds | +| `common/chat-auto-parser-helpers.h/cpp` | `calculate_diff_split()`, `segmentize_markers()`, | +| | `compare_variants()`, string helpers | +| `common/chat-peg-parser.h/cpp` | `common_chat_peg_builder`, `common_chat_peg_mapper`, and helpers | +| `common/chat.cpp` | Entry point: `common_chat_templates_apply_jinja()` | +| `tools/parser/debug-template-parser.cpp` | Debug tool for template analysis | +| `tools/parser/template-analysis.cpp` | Template analysis tool | + +## Testing & Debugging + +### Debug Tools + +**Template Debugger**: `tools/parser/debug-template-parser.cpp` + +- Usage: `./bin/llama-debug-template-parser path/to/template.jinja` +- Shows detected format, markers, generated parser, and GBNF grammar + +**Template Analysis**: `tools/parser/template-analysis.cpp` + +- Usage: `./bin/llama-template-analysis path/to/template.jinja` + +**Debug Logging**: Enable with `LLAMA_LOG_VERBOSITY=2` + +- Shows detailed analysis steps, pattern extraction results, and generated parser structure + +**PEG Test Builder**: Fluent API for creating test cases — see [tests/test-chat.cpp:947-1043](tests/test-chat.cpp#L947-L1043). Example usage: + +```cpp +auto tst = peg_tester("models/templates/Template.jinja"); +tst.test("input text") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({tool_json}) + .parallel_tool_calls(true) + .enable_thinking(true) + .expect(expected_message) + .run(); +``` + +### Tested Templates + +The following templates have active tests in `tests/test-chat.cpp`: + +| Template | Format | Notes | +| -------- | ------ | ----- | +| Ministral-3-14B-Reasoning | Reasoning | `[THINK]...[/THINK]` tags (specialized handler) | +| NVIDIA-Nemotron-3-Nano-30B | TAG_WITH_TAGGED | Reasoning + tools | +| CohereForAI Command-R7B | JSON_NATIVE | `<\|START_THINKING\|>`/`<\|START_RESPONSE\|>` markers | +| Google Gemma 2 2B | Content only | No tool support | +| Qwen-QwQ-32B | Reasoning | Forced-open thinking | +| NousResearch Hermes 2 Pro | JSON_NATIVE | `` wrapper | +| IBM Granite 3.3 | JSON_NATIVE | `` + `` | +| ByteDance Seed-OSS | TAG_WITH_TAGGED | Custom `` and `` tags | +| Qwen3-Coder | TAG_WITH_TAGGED | XML-style tool format | +| DeepSeek V3.1 | JSON_NATIVE | Forced thinking mode | +| GLM-4.6 | TAG_WITH_TAGGED | `name\n......` format | +| GLM-4.7-Flash | TAG_WITH_TAGGED | Updated GLM format | +| Kimi-K2-Thinking | JSON_NATIVE | Reasoning + JSON tools | +| Apertus-8B-Instruct | JSON_NATIVE | Function name as JSON key | +| MiniMax-M2 | TAG_WITH_JSON | XML invoke with JSON args | +| NVIDIA-Nemotron-Nano-v2 | JSON_NATIVE | `` wrapper (nested) | +| CohereForAI Command-R Plus | JSON_NATIVE | Markdown code block format | +| Mistral-Nemo-Instruct-2407 | JSON_NATIVE | `[TOOL_CALLS]` wrapper with ID field | +| Functionary v3.1 | TAG_WITH_JSON | `` format | +| Functionary v3.2 | Specialized | `>>>` recipient delimiter (dedicated handler) | +| Fireworks Firefunction v2 | TAG_WITH_JSON | Fireworks tool format | +| DeepSeek R1 Distill (Llama/Qwen) | Reasoning | Forced-open thinking | +| llama-cpp-deepseek-r1 | Reasoning | Forced-open thinking | +| Kimi-K2 / Kimi-K2-Instruct | JSON_NATIVE | JSON tools with special markers | +| Llama 3.1/3.2/3.3 | JSON_NATIVE | Standard Llama tool format | +| OpenAI GPT-OSS | Specialized | Channel-based (dedicated handler) | +| Apriel 1.5 | JSON_NATIVE | `` wrapper with JSON array | +| Apriel 1.6 Thinker | Reasoning | Implicit reasoning start | +| Mistral Small 3.2 | JSON_NATIVE | `[TOOL_CALLS]func[ARGS]{...}` with call ID | +| Devstral | JSON_NATIVE | `[TOOL_CALLS]func[ARGS]{...}` without call ID | +| StepFun 3.5 Flash | TAG_WITH_TAGGED | `` format | + +## Adding Support for New Templates + +To support a new template format: + +1. **If it follows standard patterns** — The auto-parser should detect it automatically. Run `llama-debug-template-parser` to verify markers are correctly extracted. +2. **If differential analysis extracts incorrect markers** — Add a workaround lambda to the `workarounds` vector in `common/chat-diff-analyzer.cpp`. Inspect the template source for a unique identifying substring. +3. **If it needs fundamentally different handling** — Add a dedicated handler function in `chat.cpp` before the auto-parser block (as done for GPT-OSS, Functionary v3.2, and Ministral). + +## Edge Cases and Quirks + +1. **Forced Thinking**: When `enable_thinking=true` and the model prompt ends with an open reasoning tag (e.g., ``), the parser enters forced thinking mode and immediately expects reasoning content without waiting for a start marker. +2. **Per-Call vs Per-Section Markers**: Some templates wrap each tool call individually (`per_call_start/end`); others wrap the entire section (`section_start/end`). T2 (`check_per_call_markers()`) disambiguates by checking if the second call in a two-call output starts with the section marker. +3. **Python Dict Format**: The Seed template family uses single-quoted JSON (`'key': 'value'`). The `uses_python_dicts` flag causes the PEG builder to register a flexible `json-string` rule accepting both quote styles before any JSON rules are built. +4. **Tag Boundary Fixing**: `calculate_diff_split()` iteratively adjusts prefix/suffix boundaries to avoid splitting `` or `[marker]` tokens, ensuring clean extraction. +5. **Call ID Side Effects**: When a call ID is detected, `per_call_end` may have been incorrectly set to include the call ID suffix. T7 clears `per_call_end` in this case. +6. **Tool Analysis Gating**: `analyze_tools` is only constructed (and all tool analysis phases run) when `jinja_caps.supports_tool_calls` is true. Within tool analysis, `check_per_call_markers()` (T2) only runs if `jinja_caps.supports_parallel_tool_calls`. +7. **`analyze_arguments()` Gating**: Within tool analysis, A1 and A2 (argument name/value marker extraction) only run for `TAG_WITH_TAGGED` format. `extract_argument_separator()` and `extract_args_markers()` run for all non-`JSON_NATIVE` formats. diff --git a/docs/development/parsing.md b/docs/development/parsing.md index dbb989bf08..a41057db2b 100644 --- a/docs/development/parsing.md +++ b/docs/development/parsing.md @@ -22,7 +22,7 @@ Below is a contrived example demonstrating how to use the PEG parser to parse output from a model that emits arguments as JSON. ```cpp -auto parser = build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) { +auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { // Build a choice of all available tools auto tool_choice = p.choice(); for (const auto & tool : tools) { @@ -212,7 +212,7 @@ mapper.from_ast(ctx.ast, result); ### Native -The `common_chat_peg_native_builder` builds a `native` parser suitable for +The `common_chat_peg_builder` builds a `native` parser suitable for models that emit tool arguments as a direct JSON object. - **`reasoning(p)`** - Tag node for `reasoning_content` @@ -225,7 +225,7 @@ models that emit tool arguments as a direct JSON object. - **`tool_args(p)`** - Tag the tool arguments ```cpp -build_chat_peg_native_parser([&](common_chat_peg_native_parser & p) { +build_chat_peg_parser([&](common_chat_peg_builder & p) { auto get_weather_tool = p.tool(p.sequence({ p.tool_open(p.literal("{")), p.json_member("name", "\"" + p.tool_name(p.literal("get_weather")) + "\""), @@ -246,7 +246,7 @@ build_chat_peg_native_parser([&](common_chat_peg_native_parser & p) { ### Constructed -The `common_chat_peg_constructed_builder` builds a `constructed` parser +The `common_chat_peg_builder` builds a `constructed` parser suitable for models that emit tool arguments as separate entities, such as XML tags. @@ -264,7 +264,7 @@ tags. - **`tool_arg_json_value(p)`** - Tag JSON value for the argument ```cpp -build_chat_peg_constructed_parser([&](common_chat_peg_constructed_builder & p) { +build_chat_peg_parser([&](common_chat_peg_builder & p) { auto location_arg = p.tool_arg( p.tool_arg_open(""), p.tool_arg_string_value(p.until("")), diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py index 9fc90a3c98..35f7d47f3c 100755 --- a/examples/json_schema_to_grammar.py +++ b/examples/json_schema_to_grammar.py @@ -689,6 +689,11 @@ class SchemaConverter: elif (schema_type == 'object') or (len(schema) == 0): return self._add_rule(rule_name, self._add_primitive('object', PRIMITIVE_RULES['object'])) + elif schema_type is None and isinstance(schema, dict): + # No type constraint and no recognized structural keywords (e.g. {"description": "..."}). + # Per JSON Schema semantics this is equivalent to {} and accepts any value. + return self._add_rule(rule_name, self._add_primitive('value', PRIMITIVE_RULES['value'])) + else: assert schema_type in PRIMITIVE_RULES, f'Unrecognized schema: {schema}' # TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero diff --git a/models/templates/Apertus-8B-Instruct.jinja b/models/templates/Apertus-8B-Instruct.jinja index 10826ff690..432ae59a40 100644 --- a/models/templates/Apertus-8B-Instruct.jinja +++ b/models/templates/Apertus-8B-Instruct.jinja @@ -97,20 +97,20 @@ {%- macro render_tools(tools) -%} {%- for tool in tools %} - {{- "// " + tool.description + "\n" }} - {{- "type "+ tool.name + " = " }} - {%- if tool.parameters and tool.parameters.properties %} + {{- "// " + tool.function.description + "\n" }} + {{- "type "+ tool.function.name + " = " }} + {%- if tool.function.parameters and tool.function.parameters.properties %} {{- "(_: {\n" }} - {%- for param_name, param_spec in tool.parameters.properties.items() %} + {%- for param_name, param_spec in tool.function.parameters.properties.items() %} {%- if param_spec.description %} {{- "// " + param_spec.description + "\n" }} {%- endif %} {{- param_name }} - {%- if param_name not in (tool.parameters.required or []) -%} + {%- if param_name not in (tool.function.parameters.required or []) -%} {{- "?" }} {%- endif -%} {{- ": " }} - {{- render_typescript_type(param_spec, tool.parameters.required or []) }} + {{- render_typescript_type(param_spec, tool.function.parameters.required or []) }} {%- if param_spec.default is defined -%} {%- if param_spec.enum %} {{- ", // default: " + param_spec.default }} @@ -294,7 +294,7 @@ {%- for tool_call in message.tool_calls -%} {%- if tool_call.type == 'function' -%} {%- set function = tool_call.function -%} - {{- '{"' + function.name + '": ' + function.arguments + '}' }} + {{- '{"' + function.name + '": ' + function.arguments|tojson + '}' }} {%- if not loop.last -%} {{- ", " }} {%- endif -%} diff --git a/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja b/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja new file mode 100755 index 0000000000..a60a95f44d --- /dev/null +++ b/models/templates/Apriel-1.6-15b-Thinker-fixed.jinja @@ -0,0 +1,172 @@ +{# ---------------------------------------------------------------------- #} +{# ƛƬ Default setup and flags #} +{# ---------------------------------------------------------------------- #} +{%- set messages = messages or [] -%} +{%- set tools = tools or [] -%} +{%- set add_generation_prompt = add_generation_prompt or false -%} +{%- set available_tool_string = '' -%} +{%- set add_tool_id = true -%} +{%- set add_thoughts = true -%} {# whether to include reasoning blocks #} +{%- set add_generation_prompt = true -%} {# whether to emit reasoning starter before assistant response #} +{# Optional token placeholders (safe defaults) #} +{%- set bos_token = bos_token or '' -%} +{%- set eos_token = eos_token or '' -%} +{# ---------------------------------------------------------------------- #} +{# Core reasoning prompt and assistant reasoning prefix #} +{# ---------------------------------------------------------------------- #} +{%- set reasoning_prompt -%} + You are a thoughtful, systematic AI assistant from ServiceNow Language Models (SLAM) lab. + Analyze each question carefully, present your reasoning step-by-step, then provide the final + response after the marker [BEGIN FINAL RESPONSE]. +{%- endset -%} +{%- set reasoning_asst_turn_start = 'Here are my reasoning steps:\n' -%} +{# ---------------------------------------------------------------------- #} +{# Tool list and tool call output format #} +{# ---------------------------------------------------------------------- #} +{%- if tools|length > 0 -%} + {%- set available_tool_string -%} + You are provided with function signatures within XML tags. + You may call one or more functions to assist with the user query. + Don't make assumptions about the arguments. You should infer the argument values from previous + user responses and the system message. + Here are the available tools: + + {% for tool in tools %}{{ tool|string }}{% endfor %} + + . + + Return all function calls as a list of JSON objects within XML tags. + Each JSON object should contain a function name and arguments as follows: + [ + {"name": , "arguments": }, + {"name": , "arguments": }, + ... + ] + {%- endset -%} +{%- endif -%} +{# ---------------------------------------------------------------------- #} +{# Start system block if first message is not system #} +{# ---------------------------------------------------------------------- #} +{%- if messages|length > 0 and messages[0]['role'] != 'system' -%} + {%- if tools|length > 0 -%} + {{ bos_token + '<|begin_system|>\n' + reasoning_prompt + '\n' + available_tool_string + '\n' }} + {%- else -%} + {{ bos_token + '<|begin_system|>\n' + reasoning_prompt + '\n' }} + {%- endif -%} +{%- endif -%} +{# ---------------------------------------------------------------------- #} +{# Iterate through messages #} +{# ---------------------------------------------------------------------- #} +{%- for message in messages -%} + + {# ---------------- USER MESSAGE ---------------- #} + {%- if message['role'] == 'user' -%} + {{ '<|begin_user|>\n' }} + {%- if message['content'] is not string -%} + {%- for chunk in message['content'] -%} + {%- if chunk['type'] == 'text' -%} + {{ chunk['text'] }} + {%- elif chunk['type'] in ['image', 'image_url'] -%} + {{ '[IMG]' }} + {%- else -%} + {{ raise_exception('Unrecognized content type!') }} + {%- endif -%} + {%- endfor -%} + {%- else -%} + {{ message['content'] }} + {%- endif -%} + + {# ---------------- SYSTEM MESSAGE ---------------- #} + {%- elif message['role'] == 'system' -%} + {%- set sys_content = message.get('content', '') -%} + {%- if sys_content and sys_content|length > 0 -%} + {%- if sys_content is string -%} + {%- set system_message = sys_content -%} + {%- else -%} + {%- set system_message = sys_content[0]['text'] -%} + {%- endif -%} + {%- else -%} + {%- set system_message = '' -%} + {%- endif -%} + + {%- if tools|length > 0 -%} + {{ bos_token + '<|begin_system|>\n' + reasoning_prompt + '\n' + system_message + '\n' + available_tool_string + '\n' }} + {%- else -%} + {{ bos_token + '<|begin_system|>\n' + reasoning_prompt + '\n' + system_message + '\n' }} + {%- endif -%} + + {# ---------------- ASSISTANT MESSAGE ---------------- #} + {%- elif message['role'] == 'assistant' -%} + {%- if loop.last -%} + {%- set add_tool_id = false -%} + {%- endif -%} + + {{ '\n<|begin_assistant|>\n' }} + + {%- if add_thoughts and message.get('reasoning_content') and loop.last -%} + {{ message['reasoning_content'] + '\n[BEGIN FINAL RESPONSE]\n' }} + {%- endif -%} + + {%- set asst_content = message.get('content', '') -%} + {%- if asst_content and asst_content|length > 0 -%} + {%- if asst_content is not string -%} + {%- set asst_text = asst_content[0]['text'] -%} + {%- else -%} + {%- set asst_text = asst_content -%} + {%- endif -%} + {# For historical turns (not the last), strip reasoning and keep only final response #} + {%- if not loop.last and '[BEGIN FINAL RESPONSE]' in asst_text -%} + {{- asst_text.split('[BEGIN FINAL RESPONSE]')[-1] | trim -}} + {%- else -%} + {{- asst_text -}} + {%- endif -%} + {%- elif message.get('chosen') and message['chosen']|length > 0 -%} + {{ message['chosen'][0] }} + {%- endif -%} + + {# Tool call output #} + {%- set tool_calls = message.get('tool_calls', []) -%} + {%- if tool_calls and tool_calls|length > 0 -%} + {{ '\n[' }} + {%- for tool_call in tool_calls -%} + {{ '{"name": "' + tool_call['function']['name'] + '", "arguments": ' + tool_call['function']['arguments']|tojson }} + {%- if add_tool_id == true and 'id' in tool_call -%} + {{ ', "id": "' + tool_call['id'] + '"' }} + {%- endif -%} + {{ '}' }} + {%- if not loop.last -%}{{ ', ' }}{%- endif -%} + {%- endfor -%} + {{ ']' }} + {%- endif -%} + + {%- set training_prompt = training_prompt if (training_prompt is defined) else false -%} + {%- if not loop.last or training_prompt -%} + {{ '\n<|end|>\n' }} + {%- endif -%} + + {# ---------------- TOOL RESULT MESSAGE ---------------- #} + {%- elif message['role'] == 'tool' -%} + {%- set tool_content = message.get('content', '') -%} + {%- if tool_content is string -%} + {%- set tool_message = tool_content -%} + {%- else -%} + {%- set tool_message = tool_content[0]['text'] if tool_content else '' -%} + {%- endif -%} + {{ '<|begin_tool_result|>\n' + tool_message|string + '\n' }} + + {# ---------------- CONTENT MESSAGE ---------------- #} + {%- elif message['role'] == 'content' -%} + {%- set msg_content = message.get('content', '') -%} + {%- if msg_content is not string -%} + {{ '<|begin_content|>\n' + msg_content[0]['text'] + '\n' }} + {%- else -%} + {{ '<|begin_content|>\n' + msg_content + '\n' }} + {%- endif -%} + {%- endif -%} + + {# ---------------- REASONING PROMPT BEFORE NEXT ASSISTANT ---------------- #} + {%- if loop.last and add_generation_prompt and message['role'] != 'assistant' -%} + {{ '\n<|begin_assistant|>\n' + reasoning_asst_turn_start }} + {%- endif -%} + +{%- endfor -%} diff --git a/models/templates/Bielik-11B-v3.0-Instruct.jinja b/models/templates/Bielik-11B-v3.0-Instruct.jinja new file mode 100644 index 0000000000..40ef50076e --- /dev/null +++ b/models/templates/Bielik-11B-v3.0-Instruct.jinja @@ -0,0 +1,77 @@ +{{ bos_token }} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content'] %} + {%- set loop_start_index = 1 %} +{%- else %} + {%- set system_message = "" %} + {%- set loop_start_index = 0 %} +{%- endif %} + +{%- if system_message or tools %} + {{- '<|im_start|>system\n' }} + {%- if system_message %} + {{- system_message }} + {%- endif %} + {%- if tools %} + {{- '\n\nMasz dostęp do następujących narzędzi. Definicje narzędzi znajdują się poniżej wewnątrz znaczników <|function_list|>:\n<|function_list|>\n' }} + {{- '[' }} + {%- for tool in tools %} + {{- tool | tojson }} + {%- if not loop.last %} + {{- ',\n' }} + {%- endif %} + {%- endfor %} + {{- ']\n<|function_list|>\n\nAby wywołać narzędzie, użyj formatu {"name": "nazwa_narzędzia", "arguments": {"argument": "wartość"}}. Wyniki działania narzędzi zostaną przekazane z markerem <|function_output|>.\n' }} + {%- endif %} + {%- if enable_thinking %} + {{- '\n\nZanim odpowiesz na pytanie, najpierw przemyśl swoje kroki i umieść swoje myśli wewnątrz tagów .... Musisz najpierw pomyśleć, zanim udzielisz odpowiedzi. ' -}} + {{- 'WAŻNE: Powinieneś myśleć w tym samym języku, co pytanie użytkownika. Jeśli pytanie jest zadane po polsku, powinieneś również myśleć po polsku. Jeśli pytanie jest po angielsku, myślisz również po angielsku itd. ' }} + {{- '** PAMIĘTAJ! ** Pytanie po polsku -> myślenie po polsku -> odpowiedź po polsku!' -}} + {{- '*** BARDZO WAŻNE!!! *** Jesteś Bielikiem, polskim modelem językowym. Twoją główną cechą jest umiejętność pisania po polsku. Jeśli użytkownik zadaje Ci pytania po polsku, ZAWSZE odpowiadaj po polsku. ' -}} + {{- 'Nawet, jeśli korzystasz z narzędzia, którego większość instrukcji jest po angielsku, powinieneś przede wszystkim odpowiadać po polsku, jeśli użytkownik zadaje pytanie w tym języku. ' -}} + {%- endif %} + {{- '<|im_end|>\n' }} +{%- endif %} + +{%- for message in messages[loop_start_index:] %} + {%- if message['role'] == 'user' %} + {{- '<|im_start|>user\n' + message['content'] + '<|im_end|>\n' }} + {%- elif message['role'] == 'assistant' %} + {{- '<|im_start|>assistant\n' }} + {%- set content = message.content | default('') %} + {%- set reasoning_content = message.reasoning_content | default('') %} + {%- if not reasoning_content and '' in content and '' in content %} + {%- set reasoning_parts = content.split('') %} + {%- set reasoning_content = reasoning_parts[0].split('')[-1] %} + {%- set content = reasoning_parts[1:] | join('') %} + {%- endif %} + {%- if reasoning_content %} + {{- '\n' + reasoning_content.strip() + '\n\n' }} + {%- endif %} + {{- content.lstrip() }} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' + tool_call.name + '", "arguments": ' + (tool_call.arguments if tool_call.arguments is string else tool_call.arguments | tojson) + '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message['role'] == 'tool' %} + {%- if loop.index0 == 0 or messages[loop.index0 - 1]['role'] != 'tool' %} + {{- '<|im_start|>user\n' }} + {%- endif %} + {{- '<|function_output|>' + message['content'] }} + {%- if loop.last or messages[loop.index0 + 1]['role'] != 'tool' %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} + +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking %} + {{- '\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja b/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja index 078e9f5458..fcf1259d33 100644 --- a/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja +++ b/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja @@ -132,7 +132,7 @@ The following instructions take precedence over instructions in the default prea {%- elif message.role|lower == 'user' %} <|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ message.content }}<|END_OF_TURN_TOKEN|>{%- if documents and not sent_documents.value %}{%- set sent_documents.value = true %}{% set tool_idx.value = tool_idx.value + 1 %}{{ document_turn(documents) }}{% endif %} {%- elif message.role|lower == 'assistant' or message.role|lower == 'chatbot' %} -<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if message.tool_calls %}<|START_THINKING|>{{message.tool_plan}}<|END_THINKING|><|START_ACTION|>[ +<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if message.tool_calls %}<|START_THINKING|>{{message.reasoning_content}}<|END_THINKING|><|START_ACTION|>[ {% for tc in message.tool_calls %} {"tool_call_id": "{{ tool_idx.value }}", "tool_name": "{{ tc['function']['name'] }}", "parameters": {{ tc['function']['arguments']|tojson }}}{% if not loop.last %},{% endif %} @@ -153,4 +153,4 @@ The following instructions take precedence over instructions in the default prea ]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|> {%- endif %} -{%- endfor %}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|> \ No newline at end of file +{%- endfor %}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{%- if not enable_thinking -%}<|START_THINKING|><|END_THINKING|>{%- endif %} \ No newline at end of file diff --git a/models/templates/GLM-4.7-Flash.jinja b/models/templates/GLM-4.7-Flash.jinja new file mode 100644 index 0000000000..2ab98ef068 --- /dev/null +++ b/models/templates/GLM-4.7-Flash.jinja @@ -0,0 +1,86 @@ +[gMASK] +{%- if tools -%} +<|system|> +# Tools + +You may call one or more functions to assist with the user query. + +You are provided with function signatures within XML tags: + +{% for tool in tools %} +{{ tool | tojson(ensure_ascii=False) }} +{% endfor %} + + +For each function call, output the function name and arguments within the following XML format: +{function-name}{arg-key-1}{arg-value-1}{arg-key-2}{arg-value-2}...{%- endif -%} +{%- macro visible_text(content) -%} + {%- if content is string -%} + {{- content }} + {%- elif content is iterable and content is not mapping -%} + {%- for item in content -%} + {%- if item is mapping and item.type == 'text' -%} + {{- item.text }} + {%- elif item is string -%} + {{- item }} + {%- endif -%} + {%- endfor -%} + {%- else -%} + {{- content }} + {%- endif -%} +{%- endmacro -%} +{%- set ns = namespace(last_user_index=-1) %} +{%- for m in messages %} + {%- if m.role == 'user' %} + {% set ns.last_user_index = loop.index0 -%} + {%- endif %} +{%- endfor %} +{% for m in messages %} +{%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }} +{%- elif m.role == 'assistant' -%} +<|assistant|> +{%- set reasoning_content = '' %} +{%- set content = visible_text(m.content) %} +{%- if m.reasoning_content is string %} + {%- set reasoning_content = m.reasoning_content %} +{%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} +{%- endif %} +{%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content -%} +{{ '' + reasoning_content.strip() + ''}} +{%- else -%} +{{ '' }} +{%- endif -%} +{%- if content.strip() -%} +{{ content.strip() }} +{%- endif -%} +{% if m.tool_calls %} +{% for tc in m.tool_calls %} +{%- if tc.function %} + {%- set tc = tc.function %} +{%- endif %} +{{- '' + tc.name -}} +{% set _args = tc.arguments %}{% for k, v in _args.items() %}{{ k }}{{ v | tojson(ensure_ascii=False) if v is not string else v }}{% endfor %}{% endfor %} +{% endif %} +{%- elif m.role == 'tool' -%} +{%- if m.content is string -%} +{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|observation|>' }} +{%- endif %} +{{- '' }} +{{- m.content }} +{{- '' }} +{%- else -%} +<|observation|>{% for tr in m.content %} +{{ tr.output if tr.output is defined else tr }}{% endfor -%} +{% endif -%} +{%- elif m.role == 'system' -%} +<|system|>{{ visible_text(m.content) }} +{%- endif -%} +{%- endfor -%} +{%- if add_generation_prompt -%} + <|assistant|>{{- '' if (enable_thinking is defined and not enable_thinking) else '' -}} +{%- endif -%} \ No newline at end of file diff --git a/models/templates/LFM2-8B-A1B.jinja b/models/templates/LFM2-8B-A1B.jinja new file mode 100644 index 0000000000..3738b3d145 --- /dev/null +++ b/models/templates/LFM2-8B-A1B.jinja @@ -0,0 +1,47 @@ +{{- bos_token -}} +{%- set system_prompt = "" -%} +{%- set ns = namespace(system_prompt="") -%} +{%- if messages[0]["role"] == "system" -%} + {%- set ns.system_prompt = messages[0]["content"] -%} + {%- set messages = messages[1:] -%} +{%- endif -%} +{%- if tools -%} + {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "You can use the following tools: <|tool_list_start|>[" -%} + {%- for tool in tools -%} + {%- if tool is not string -%} + {%- set tool = tool | tojson -%} + {%- endif -%} + {%- set ns.system_prompt = ns.system_prompt + tool -%} + {%- if not loop.last -%} + {%- set ns.system_prompt = ns.system_prompt + ", " -%} + {%- endif -%} + {%- endfor -%} + {%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%} + {{- '**IMPORTANT**: The syntax for calling the tools is: <|tool_call_start|>JSON tool call goes here<|tool_call_end|>. Please only call tools in the specified manner.' -}} +{%- endif -%} +{%- if ns.system_prompt -%} + {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} +{%- endif -%} +{%- for message in messages -%} + {{- "<|im_start|>" + message["role"] + "\n" -}} + {%- set content = message["content"] -%} + {%- if content is not string -%} + {%- set content = content | tojson -%} + {%- endif -%} + {%- if message["role"] == "tool" -%} + {%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%} + {%- elif message["role"] == "assistant" -%} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n<|tool_call_start|>\n{"name": "' + tool_call.name + '", "arguments": ' + (tool_call.arguments if tool_call.arguments is string else tool_call.arguments | tojson) + '}\n<|tool_call_end|>\n' }} + {%- endfor %} + {%- endif %} + {%- endif -%} + {{- content + "<|im_end|>\n" -}} +{%- endfor -%} +{%- if add_generation_prompt -%} + {{- "<|im_start|>assistant\n" -}} +{%- endif -%} diff --git a/models/templates/Qwen-QwQ-32B.jinja b/models/templates/Qwen-QwQ-32B.jinja index d475f70687..ce314a039f 100644 --- a/models/templates/Qwen-QwQ-32B.jinja +++ b/models/templates/Qwen-QwQ-32B.jinja @@ -59,4 +59,5 @@ {%- endfor %} {%- if add_generation_prompt %} {{- '<|im_start|>assistant\n\n' }} + {%- if not enable_thinking -%}{{- '' -}}{%- endif -%} {%- endif %} diff --git a/models/templates/Qwen3-Coder.jinja b/models/templates/Qwen3-Coder.jinja index 49b0e8d0ee..cde8c0e43d 100644 --- a/models/templates/Qwen3-Coder.jinja +++ b/models/templates/Qwen3-Coder.jinja @@ -29,7 +29,7 @@ {%- endif %} {%- endif %} {%- if tools is iterable and tools | length > 0 %} - {{- "\n\n# Tools\n\nYou have access to the following functions:\n\n" }} + {{- "\n\n# Tools\n\nYou have access to the following tools:\n\n" }} {{- "" }} {%- for tool in tools %} {%- if tool.function is defined %} @@ -63,7 +63,7 @@ {{- '\n' }} {%- endfor %} {{- "\n" }} - {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }} + {{- '\n\nIf you choose to call a tool ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nvalue_2\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: the tool calling block MUST begin with an opening tag and end with a closing tag.\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }} {%- endif %} {%- if system_message is defined %} {{- '<|im_end|>\n' }} diff --git a/models/templates/StepFun3.5-Flash.jinja b/models/templates/StepFun3.5-Flash.jinja new file mode 100644 index 0000000000..c09ea497da --- /dev/null +++ b/models/templates/StepFun3.5-Flash.jinja @@ -0,0 +1,80 @@ +{% macro render_content(content) %}{% if content is none %}{{- '' }}{% elif content is string %}{{- content }}{% elif content is mapping %}{{- content['value'] if 'value' in content else content['text'] }}{% elif content is iterable %}{% for item in content %}{% if item.type == 'text' %}{{- item['value'] if 'value' in item else item['text'] }}{% elif item.type == 'image' %}{% endif %}{% endfor %}{% endif %}{% endmacro %} +{{bos_token}}{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0].role == 'system' %} + {{- render_content(messages[0].content) + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou have access to the following functions in JSONSchema format:\n\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson(ensure_ascii=False) }} + {%- endfor %} + {{- "\n\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner \n...\n block must be nested within \n...\n XML tags\n- Required parameters MUST be specified\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0].role == 'system' %} + {{- '<|im_start|>system\n' + render_content(messages[0].content) + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" and render_content(message.content) is string and not(render_content(message.content).startswith('') and render_content(message.content).endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- set content = render_content(message.content) %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {%- set role_name = 'observation' if (message.role == "system" and not loop.first and message.name == 'observation') else message.role %} + {{- '<|im_start|>' + role_name + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = render_content(message.reasoning_content) %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- else %} + {%- set reasoning_content = '' %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n' + content }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n' }} + {%- if tool_call.arguments is defined %} + {%- set arguments = tool_call.arguments %} + {%- for args_name, args_value in arguments|items %} + {{- '\n' }} + {%- set args_value = args_value | tojson(ensure_ascii=False) | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %} + {{- args_value }} + {{- '\n\n' }} + {%- endfor %} + {%- endif %} + {{- '\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>tool_response\n' }} + {%- endif %} + {{- '' }} + {{- content }} + {{- '' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n\n' }} +{%- endif %} diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja index c2066bd739..299f7a7ff1 100644 --- a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja +++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja @@ -1 +1,44 @@ -{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '' in content %}{% set content = content.split('')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>\n'}}{% endif %} \ No newline at end of file +{% if not add_generation_prompt is defined -%} + {%- set add_generation_prompt = false -%} +{%- endif -%} +{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') -%} +{%- for message in messages -%} + {%- if message['role'] == 'system' -%} + {%- set ns.system_prompt = message['content'] -%} + {%- endif -%} +{%- endfor -%}{{bos_token}}{{ns.system_prompt}} +{%- for message in messages -%} + {%- if message['role'] == 'user' -%} + {%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}} + {%- endif -%} + {%- if message['role'] == 'assistant' and message['content'] is none -%} + {%- set ns.is_tool = false -%} + {%- for tool in message['tool_calls']-%} + {%- if not ns.is_first -%}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}} + {%- set ns.is_first = true -%} + {%- else -%}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}} + {%- endif -%} + {%- endfor -%} + {%- endif -%} + {%- if message['role'] == 'assistant' and message['content'] is not none -%} + {%- if ns.is_tool -%}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}} + {%- set ns.is_tool = false -%} + {%- else -%} + {%- set content = message['content'] -%} + {%- if '' in content -%} + {%- set content = content.split('')[-1] -%} + {%- endif -%}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}} + {%- endif -%} + {%- endif -%} + {%- if message['role'] == 'tool' -%} + {%- set ns.is_tool = true -%} + {%- if ns.is_output_first -%}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}} + {%- set ns.is_output_first = false -%} + {%- else -%}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}} + {%- endif -%} + {%- endif -%} +{%- endfor -%} +{%- if ns.is_tool -%}{{'<｜tool▁outputs▁end｜>'}} +{%- endif -%} +{%- if add_generation_prompt and not ns.is_tool -%}{{'<｜Assistant｜>\n'}} +{%- endif %} \ No newline at end of file diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja index c2066bd739..9e6ec845d3 100644 --- a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja +++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja @@ -1 +1,47 @@ -{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '' in content %}{% set content = content.split('')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>\n'}}{% endif %} \ No newline at end of file +{% if not add_generation_prompt is defined -%} + {%- set add_generation_prompt = false -%} +{%- endif -%} +{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') -%} +{%- for message in messages -%} + {%- if message['role'] == 'system' -%} + {%- set ns.system_prompt = message['content'] -%} + {%- endif -%} +{%- endfor -%}{{bos_token}}{{ns.system_prompt}} +{%- for message in messages -%} + {%- if message['role'] == 'user' -%} + {%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}} + {%- endif -%} + {%- if message['role'] == 'assistant' and message['tool_calls'] -%} + {%- set ns.is_tool = false -%} + {%- for tool in message['tool_calls']-%} + {%- if not ns.is_first -%} + {{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}} + {%- set ns.is_first = true -%} + {%- else -%} + {{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}} + {%- endif -%} + {%- endfor -%} + {{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}} + {%- endif -%} + {%- if message['role'] == 'assistant' and message['content'] is not none -%} + {%- if ns.is_tool -%}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}} + {%- set ns.is_tool = false -%} + {%- else -%} + {%- set content = message['content'] -%} + {%- if '' in content -%} + {%- set content = content.split('')[-1] -%} + {%- endif -%}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}} + {%- endif -%} + {%- endif -%} + {%- if message['role'] == 'tool' -%} + {%- set ns.is_tool = true -%} + {%- if ns.is_output_first -%}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}} + {%- set ns.is_output_first = false -%} + {%- else -%}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}} + {%- endif -%} + {%- endif -%} +{%- endfor -%} +{%- if ns.is_tool -%}{{'<｜tool▁outputs▁end｜>'}} +{%- endif -%} +{%- if add_generation_prompt and not ns.is_tool -%}{{'<｜Assistant｜>\n'}}{% if not enable_thinking %}{{- '' -}}{% endif %} +{%- endif %} \ No newline at end of file diff --git a/models/templates/deepseek-ai-DeepSeek-V3.1.jinja b/models/templates/deepseek-ai-DeepSeek-V3.1.jinja index e5656196a3..2fd1c415b8 100644 --- a/models/templates/deepseek-ai-DeepSeek-V3.1.jinja +++ b/models/templates/deepseek-ai-DeepSeek-V3.1.jinja @@ -1,3 +1,71 @@ -{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% if not thinking is defined %}{% set thinking = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, system_prompt='', is_first_sp=true, is_last_user=false) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + ' +{% if not add_generation_prompt is defined -%} + {%- set add_generation_prompt = false -%} +{%- endif -%} +{%- if not thinking is defined -%} + {%- if enable_thinking is defined -%} + {%- set thinking = enable_thinking -%} + {%- else -%} + {%- set thinking = false -%} + {%- endif -%} +{%- endif -%} +{%- set ns = namespace(is_first=false, is_tool=false, system_prompt='', is_first_sp=true, is_last_user=false) -%} +{%- for message in messages -%} + {%- if message['role'] == 'system' -%} + {%- if ns.is_first_sp -%} + {%- set ns.system_prompt = ns.system_prompt + message['content'] -%} + {%- set ns.is_first_sp = false -%} + {%- else -%} + {%- set ns.system_prompt = ns.system_prompt + ' -' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{ bos_token }}{{ ns.system_prompt }}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{%- set ns.is_first = false -%}{%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}{%- if ns.is_last_user %}{{'<｜Assistant｜>'}}{%- endif %}{%- set ns.is_last_user = false -%}{%- set ns.is_first = false %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls'] %}{%- if not ns.is_first %}{%- if message['content'] is none %}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- else %}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- set ns.is_first = true -%}{%- else %}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- endfor %}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}{%- if ns.is_last_user %}{{'<｜Assistant｜>'}}{%- if message['prefix'] is defined and message['prefix'] and thinking %}{{''}} {%- else %}{{''}}{%- endif %}{%- endif %}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{%- set content = message['content'] -%}{%- if '' in content %}{%- set content = content.split('', 1)[1] -%}{%- endif %}{{content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_last_user = false -%}{%- set ns.is_tool = true -%}{{'<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endfor -%}{%- if add_generation_prompt and ns.is_last_user and not ns.is_tool %}{{'<｜Assistant｜>'}}{%- if not thinking %}{{''}}{%- else %}{{''}}{%- endif %}{% endif %} \ No newline at end of file +' + message['content'] -%} + {%- endif -%} + {%- endif -%} +{%- endfor -%}{{ bos_token }}{{ ns.system_prompt }} +{%- for message in messages -%} + {%- if message['role'] == 'user' -%} + {%- set ns.is_tool = false -%} + {%- set ns.is_first = false -%} + {%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}} + {%- endif -%} + {%- if message['role'] == 'assistant' and message['tool_calls'] -%} + {%- if ns.is_last_user -%}{{'<｜Assistant｜>'}} + {%- endif -%} + {%- set ns.is_last_user = false -%} + {%- set ns.is_first = false -%} + {%- set ns.is_tool = false -%} + {%- for tool in message['tool_calls'] -%} + {%- if not ns.is_first -%} + {%- if not message['content'] -%}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}} + {%- else -%}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}} + {%- endif -%} + {%- set ns.is_first = true -%} + {%- else -%}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}} + {%- endif -%} + {%- endfor -%}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}} + {%- endif -%} + {%- if message['role'] == 'assistant' and not message['tool_calls'] -%} + {%- if ns.is_last_user -%}{{'<｜Assistant｜>'}} + {%- if message['prefix'] is defined and message['prefix'] and thinking -%}{{''}} + {%- else -%}{{''}} + {%- endif -%} + {%- endif -%} + {%- set ns.is_last_user = false -%} + {%- if ns.is_tool -%}{{message['content'] + '<｜end▁of▁sentence｜>'}} + {%- set ns.is_tool = false -%} + {%- else -%} + {%- set content = message['content'] -%} + {%- if '' in content -%} + {%- set content = content.split('', 1)[1] -%} + {%- endif -%}{{content + '<｜end▁of▁sentence｜>'}} + {%- endif -%} + {%- endif -%} + {%- if message['role'] == 'tool' -%} + {%- set ns.is_last_user = false -%} + {%- set ns.is_tool = true -%}{{'<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}} + {%- endif -%} +{%- endfor -%} +{%- if add_generation_prompt and ns.is_last_user and not ns.is_tool -%}{{'<｜Assistant｜>'}} + {%- if not thinking -%}{{''}} + {%- else -%}{{''}} + {%- endif -%} +{%- endif %} \ No newline at end of file diff --git a/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja b/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja index 9b8136df73..b94cfd4d9b 100644 --- a/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja +++ b/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja @@ -46,7 +46,7 @@ Available functions as JSON spec: {%- if 'tool_calls' in message and message['tool_calls'] -%} {%- set tool = namespace(calls=[]) -%} {%- for call in message['tool_calls'] -%} - {%- set tool.calls = tool.calls + ['{"name": "' + call['function']['name'] + '", "arguments": ' + call['function']['arguments'] + '}'] -%} + {%- set tool.calls = tool.calls + ['{"name": "' + call['function']['name'] + '", "arguments": ' + call['function']['arguments']|tojson + '}'] -%} {%- endfor -%} {%- set ns.content = ns.content + ' functools[' + tool.calls | join(', ') + ']' -%} {%- endif -%} diff --git a/models/templates/moonshotai-Kimi-K2.jinja b/models/templates/moonshotai-Kimi-K2.jinja index ecb49a2108..e286d8a7b5 100644 --- a/models/templates/moonshotai-Kimi-K2.jinja +++ b/models/templates/moonshotai-Kimi-K2.jinja @@ -1,43 +1,43 @@ -{%- if tools -%} - <|im_system|>tool_declare<|im_middle|>{{ tools | tojson }}<|im_end|> -{%- endif -%} -{%- for message in messages -%} - {%- if loop.first and messages[0]['role'] != 'system' -%} - <|im_system|>system<|im_middle|>You are a helpful assistant<|im_end|> - {%- endif -%} - {%- if message['role'] == 'system' -%} - <|im_system|>system<|im_middle|> - {%- elif message['role'] == 'user' -%} - <|im_user|>user<|im_middle|> - {%- elif message['role'] == 'assistant' -%} - <|im_assistant|>assistant<|im_middle|> - {%- elif message['role'] == 'tool' -%} - <|im_system|>tool<|im_middle|> - {%- endif -%} - {%- if message['role'] == 'assistant' and message.get('tool_calls') -%} - {%- if message['content'] -%}{{ message['content'] }}{%- endif -%} - <|tool_calls_section_begin|> - {%- for tool_call in message['tool_calls'] -%} - {%- set func_name = tool_call['function']['name'] -%} - {%- set formatted_id = 'functions.' + func_name + ':' + loop.index0|string -%} - <|tool_call_begin|>{{ formatted_id }}<|tool_call_argument_begin|>{{ tool_call['function']['arguments'] | tojson}}<|tool_call_end|> - {%- endfor -%} - <|tool_calls_section_end|> - {%- elif message['role'] == 'tool' -%} - ## Return of {{ message.tool_call_id }}\n{{ message['content'] }} - {%- elif message['content'] is string -%} - {{ message['content'] }} - {%- elif message['content'] is not none -%} - {% for content in message['content'] -%} - {% if content['type'] == 'image' or 'image' in content or 'image_url' in content -%} - <|media_start|>image<|media_content|><|media_pad|><|media_end|> - {% else -%} - {{ content['text'] }} - {%- endif -%} - {%- endfor -%} - {%- endif -%} - <|im_end|> -{%- endfor -%} -{%- if add_generation_prompt -%} - <|im_assistant|>assistant<|im_middle|> -{%- endif -%} +{%- if tools -%} + <|im_system|>tool_declare<|im_middle|>{{ tools | tojson }}<|im_end|> +{%- endif -%} +{%- for message in messages -%} + {%- if loop.first and messages[0]['role'] != 'system' -%} + <|im_system|>system<|im_middle|>You are a helpful assistant<|im_end|> + {%- endif -%} + {%- if message['role'] == 'system' -%} + <|im_system|>system<|im_middle|> + {%- elif message['role'] == 'user' -%} + <|im_user|>user<|im_middle|> + {%- elif message['role'] == 'assistant' -%} + <|im_assistant|>assistant<|im_middle|> + {%- elif message['role'] == 'tool' -%} + <|im_system|>tool<|im_middle|> + {%- endif -%} + {%- if message['role'] == 'assistant' and message.get('tool_calls') -%} + {%- if message['content'] -%}{{ message['content'] }}{%- endif -%} + <|tool_calls_section_begin|> + {%- for tool_call in message['tool_calls'] -%} + {%- set func_name = tool_call['function']['name'] -%} + {%- set formatted_id = 'functions.' + func_name + ':' + loop.index0|string -%} + <|tool_call_begin|>{{ formatted_id }}<|tool_call_argument_begin|>{{ tool_call['function']['arguments'] | tojson}}<|tool_call_end|> + {%- endfor -%} + <|tool_calls_section_end|> + {%- elif message['role'] == 'tool' -%} + ## Return of {{ message.tool_call_id }}\n{{ message['content'] }} + {%- elif message['content'] is string -%} + {{ message['content'] }} + {%- elif message['content'] is not none -%} + {% for content in message['content'] -%} + {% if content['type'] == 'image' or 'image' in content or 'image_url' in content -%} + <|media_start|>image<|media_content|><|media_pad|><|media_end|> + {% else -%} + {{ content['text'] }} + {%- endif -%} + {%- endfor -%} + {%- endif -%} + <|im_end|> +{%- endfor -%} +{%- if add_generation_prompt -%} + <|im_assistant|>assistant<|im_middle|> +{%- endif -%} diff --git a/models/templates/unsloth-Apriel-1.5.jinja b/models/templates/unsloth-Apriel-1.5.jinja index 29e582fbf6..1639b63901 100644 --- a/models/templates/unsloth-Apriel-1.5.jinja +++ b/models/templates/unsloth-Apriel-1.5.jinja @@ -86,22 +86,22 @@ Prior to generating the function calls, you should generate the reasoning for wh {%- set add_tool_id = false -%} {%- endif -%} {{- '<|assistant|>\n' -}} - {%- if message['content'] is not none and message['content']|length > 0 -%} + {%- if message['content'] is defined and message['content'] is not none and message['content']|length > 0 -%} {%- if message['content'] is not string and message['content'][0]['text'] is not none %} {{- message['content'][0]['text'] }} {%- else %} {{- message['content'] -}} {%- endif -%} - {%- elif message['chosen'] is not none and message['chosen']|length > 0 -%} + {%- elif message['chosen'] is defined and message['chosen'] is not none and message['chosen']|length > 0 -%} {{- message['chosen'][0] -}} {%- endif -%} {%- if add_thoughts and 'thought' in message and message['thought'] is not none -%} {{- '' + message['thought'] + '' -}} {%- endif -%} - {%- if message['tool_calls'] is not none and message['tool_calls']|length > 0 -%} + {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 -%} {{- '\n[' -}} {%- for tool_call in message["tool_calls"] -%} - {{- '{"name": "' + tool_call['function']['name'] + '", "arguments": ' + tool_call['function']['arguments']|string -}} + {{- '{"name": "' + tool_call['function']['name'] + '", "arguments": ' + tool_call['function']['arguments']|tojson -}} {%- if add_tool_id == true -%} {{- ', "id": "' + tool_call['id'] + '"' -}} {%- endif -%} diff --git a/scripts/server-test-model.py b/scripts/server-test-model.py new file mode 100644 index 0000000000..9049d80279 --- /dev/null +++ b/scripts/server-test-model.py @@ -0,0 +1,202 @@ +import argparse +import json +import requests +import logging +import sys + +handler = logging.StreamHandler(sys.stdout) +handler.terminator = "" # ← no newline +logging.basicConfig(level=logging.INFO, format='%(message)s', handlers=[handler]) +logger = logging.getLogger("server-test-model") + + +def run_query(url, messages, tools=None, stream=False, tool_choice=None): + payload = { + "messages": messages, + "stream": stream, + "max_tokens": 5000, + } + if tools: + payload["tools"] = tools + if tool_choice: + payload["tool_choice"] = tool_choice + + try: + response = requests.post(url, json=payload, stream=stream) + response.raise_for_status() + except requests.exceptions.RequestException as e: + if e.response is not None: + logger.info(f"Response error: {e} for {e.response.content}\n") + else: + logger.info(f"Error connecting to server: {e}\n") + return None + + full_content = "" + reasoning_content = "" + tool_calls = [] + + if stream: + logger.info(f"--- Streaming response (Tools: {bool(tools)}) ---\n") + for line in response.iter_lines(): + if line: + decoded_line = line.decode("utf-8") + if decoded_line.startswith("data: "): + data_str = decoded_line[6:] + if data_str == "[DONE]": + break + try: + data = json.loads(data_str) + if "choices" in data and len(data["choices"]) > 0: + delta = data["choices"][0].get("delta", {}) + + # Content + content_chunk = delta.get("content", "") + if content_chunk: + full_content += content_chunk + logger.info(content_chunk) + + # Reasoning + reasoning_chunk = delta.get("reasoning_content", "") + if reasoning_chunk: + reasoning_content += reasoning_chunk + logger.info(f"\x1B[3m{reasoning_chunk}\x1B[0m") + + # Tool calls + if "tool_calls" in delta: + for tc in delta["tool_calls"]: + index = tc.get("index") + if index is not None: + while len(tool_calls) <= index: + # Using "function" as type default but could be flexible + tool_calls.append( + { + "id": "", + "type": "function", + "function": { + "name": "", + "arguments": "", + }, + } + ) + + if "id" in tc: + tool_calls[index]["id"] += tc["id"] + if "function" in tc: + if "name" in tc["function"]: + tool_calls[index]["function"][ + "name" + ] += tc["function"]["name"] + if "arguments" in tc["function"]: + tool_calls[index]["function"][ + "arguments" + ] += tc["function"]["arguments"] + + except json.JSONDecodeError: + logger.info(f"Failed to decode JSON: {data_str}\n") + logger.info("\n--- End of Stream ---\n") + else: + logger.info(f"--- Non-streaming response (Tools: {bool(tools)}) ---\n") + data = response.json() + if "choices" in data and len(data["choices"]) > 0: + message = data["choices"][0].get("message", {}) + full_content = message.get("content", "") + reasoning_content = message.get("reasoning_content", "") + tool_calls = message.get("tool_calls", []) + logger.info(full_content) + logger.info("--- End of Response ---\n") + + return { + "content": full_content, + "reasoning_content": reasoning_content, + "tool_calls": tool_calls, + } + + +def test_chat(url, stream): + logger.info(f"\n=== Testing Chat (Stream={stream}) ===\n") + messages = [{"role": "user", "content": "What is the capital of France?"}] + result = run_query(url, messages, stream=stream) + + if result: + if result["content"]: + logger.info("PASS: Output received.\n") + else: + logger.info("WARN: No content received (valid if strict tool call, but unexpected here).\n") + + if result.get("reasoning_content"): + logger.info(f"INFO: Reasoning content detected ({len(result['reasoning_content'])} chars).\n") + else: + logger.info("INFO: No reasoning content detected (Standard model behavior).\n") + else: + logger.info("FAIL: No result.\n") + + +def test_tool_call(url, stream): + logger.info(f"\n=== Testing Tool Call (Stream={stream}) ===\n") + messages = [ + { + "role": "user", + "content": "What is the weather in London? Please use the get_weather tool.", + } + ] + tools = [ + { + "type": "function", + "function": { + "name": "get_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location"], + }, + }, + } + ] + + result = run_query(url, messages, tools=tools, tool_choice="auto", stream=stream) + + if result: + tcs = result.get("tool_calls") + if tcs and len(tcs) > 0: + logger.info("PASS: Tool calls detected.") + for tc in tcs: + func = tc.get("function", {}) + logger.info(f" Tool: {func.get('name')}, Args: {func.get('arguments')}\n") + else: + logger.info(f"FAIL: No tool calls. Content: {result['content']}\n") + + if result.get("reasoning_content"): + logger.info( + f"INFO: Reasoning content detected during tool call ({len(result['reasoning_content'])} chars).\n" + ) + else: + logger.info("FAIL: Query failed.\n") + + +def main(): + parser = argparse.ArgumentParser(description="Test llama-server functionality.") + parser.add_argument("--host", default="localhost", help="Server host") + parser.add_argument("--port", default=8080, type=int, help="Server port") + args = parser.parse_args() + + base_url = f"http://{args.host}:{args.port}/v1/chat/completions" + logger.info(f"Testing server at {base_url}\n") + + # Non-streaming tests + test_chat(base_url, stream=False) + test_tool_call(base_url, stream=False) + + # Streaming tests + test_chat(base_url, stream=True) + test_tool_call(base_url, stream=True) + + +if __name__ == "__main__": + main() diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 7e0b17a7c1..46ab7a0cef 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -187,11 +187,11 @@ if (NOT WIN32 OR NOT BUILD_SHARED_LIBS) # llama_build_and_test(test-double-float.cpp) # SLOW endif() -llama_build_and_test(test-chat-parser.cpp) llama_build_and_test(test-chat-peg-parser.cpp peg-parser/simple-tokenize.cpp) -llama_build_and_test(test-chat-template.cpp) llama_build_and_test(test-jinja.cpp) llama_test(test-jinja NAME test-jinja-py ARGS -py LABEL python) +llama_build_and_test(test-chat-auto-parser.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}) +llama_build_and_test(test-chat-template.cpp) llama_build_and_test(test-json-partial.cpp) llama_build_and_test(test-log.cpp) llama_build_and_test( @@ -201,6 +201,7 @@ llama_build_and_test( peg-parser/test-gbnf-generation.cpp peg-parser/test-json-parser.cpp peg-parser/test-json-serialization.cpp + peg-parser/test-python-dict-parser.cpp peg-parser/test-unicode.cpp peg-parser/tests.h ) @@ -279,3 +280,5 @@ target_link_libraries(${TEST_TARGET} PRIVATE llama) llama_build_and_test(test-alloc.cpp) target_include_directories(test-alloc PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src) + + diff --git a/tests/peg-parser/test-basic.cpp b/tests/peg-parser/test-basic.cpp index 1bda6f2e69..872f16a78d 100644 --- a/tests/peg-parser/test-basic.cpp +++ b/tests/peg-parser/test-basic.cpp @@ -1,3 +1,4 @@ +#include "peg-parser.h" #include "tests.h" void test_basic(testing & t) { @@ -450,5 +451,21 @@ void test_basic(testing & t) { t.assert_equal("result_is_fail", true, result.fail()); }); + + // Test markers + t.test("marker", [](testing &t) { + auto bracket_parser = build_peg_parser([](common_peg_parser_builder & p) { + return p.marker(); + }); + + common_peg_parse_context ctx_square("[marker]", false); + common_peg_parse_context ctx_sharp("", false); + + auto result_square = bracket_parser.parse(ctx_square); + auto result_sharp = bracket_parser.parse(ctx_sharp); + + t.assert_true("result_square_is_success", result_square.success()); + t.assert_true("result_sharp_is_success", result_sharp.success()); + }); }); } diff --git a/tests/peg-parser/test-python-dict-parser.cpp b/tests/peg-parser/test-python-dict-parser.cpp new file mode 100644 index 0000000000..d9946a4916 --- /dev/null +++ b/tests/peg-parser/test-python-dict-parser.cpp @@ -0,0 +1,318 @@ +#include "tests.h" + +void test_python_dict_parser(testing &t) { + // Test parsing a simple Python dict object with single quotes + t.test("simple Python dict object parsing", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{'name': 'test', 'value': 42, 'flag': True}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test parsing a Python array with mixed types + t.test("Python array with mixed types", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "[1, 'hello', True, None, 3.14]"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test parsing nested Python dict with objects and arrays + t.test("nested Python dict with objects and arrays", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = + "{'users': [{'id': 1, 'name': 'Alice'}, {'id': 2, 'name': 'Bob'}], 'count': 2, 'metadata': {'version': '1.0', 'tags': ['admin', 'user']}}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test parsing Python dict with escaped single quotes + t.test("Python dict with escaped single quotes", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{'message': 'It\\'s working!'}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test parsing Python dict with double quotes inside single quotes + t.test("Python dict with double quotes inside single quotes", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{'quote': 'He said \"Hello\"'}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test the example from the requirements + t.test("complex Python dict example from requirements", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{ 'obj' : { 'something': 1, 'other \"something\"' : 'foo\\'s bar' } }"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test need_more_input() parsing - incomplete object + t.test("need_more_input() parsing - incomplete object", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{'name': 'test', 'value': "; + common_peg_parse_context ctx(input, true); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_need_more_input", true, result.need_more_input()); + }); + + // Test need_more_input() parsing - incomplete single-quoted string + t.test("need_more_input() parsing - incomplete single-quoted string", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{'name': 'test"; + common_peg_parse_context ctx(input, true); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_need_more_input", true, result.need_more_input()); + }); + + // Test unicode in Python dict strings + t.test("unicode in Python dict strings", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{'message': 'Hello, 世界!'}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test Python dict with unicode escapes + t.test("Python dict with unicode escapes", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{'unicode': 'Hello\\u0041'}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test that Python parser accepts double-quoted strings too + t.test("Python parser accepts double-quoted strings", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{\"name\": \"test\"}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test Python parser with mixed quote styles + t.test("Python parser with mixed quote styles", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + std::string input = "{\"name\": 'test', 'value': \"hello\"}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + + t.assert_equal("result_is_success", true, result.success()); + t.assert_equal("result_end", input.size(), result.end); + }); + + // Test Python True/False/None + t.test("Python True/False/None", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); + + t.test("True", [&](testing &t) { + std::string input = "True"; + common_peg_parse_context ctx(input); + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("False", [&](testing &t) { + std::string input = "False"; + common_peg_parse_context ctx(input); + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("None", [&](testing &t) { + std::string input = "None"; + common_peg_parse_context ctx(input); + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("rejects JSON-style true/false/null", [&](testing &t) { + for (const auto & kw : {"true", "false", "null"}) { + std::string input = kw; + common_peg_parse_context ctx(input); + auto result = parser.parse(ctx); + t.assert_true(std::string("rejects ") + kw, result.fail()); + } + }); + }); + + // Test single-quoted string content parser directly + t.test("single-quoted string content parser", [](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { + return p.sequence({ p.literal("'"), p.single_quoted_string_content(), p.literal("'"), p.space() }); + }); + + t.test("simple string", [&](testing &t) { + std::string input = "'hello'"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("string with escaped single quote", [&](testing &t) { + std::string input = "'it\\'s'"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("string with double quotes", [&](testing &t) { + std::string input = "'say \"hello\"'"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("incomplete string", [&](testing &t) { + std::string input = "'hello"; + common_peg_parse_context ctx(input, true); + + auto result = parser.parse(ctx); + t.assert_true("need_more_input", result.need_more_input()); + }); + }); + + // Test json() with pre-registered flexible json-string rule (python dict support) + t.test("json() parser with flexible json-string rule", [](testing &t) { + t.test("json() rejects single quotes by default", [&](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { + return p.json(); + }); + + std::string input = "{'name': 'test'}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + t.assert_true("fail", result.fail()); + }); + + t.test("json() accepts single quotes with pre-registered flexible json-string rule", [&](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { + // Pre-register json-string rule with both quote styles + p.rule("json-string", [&]() { + return p.choice({ p.double_quoted_string(), p.single_quoted_string() }); + }); + return p.json(); + }); + + std::string input = "{'name': 'test'}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("json() still accepts double quotes with flexible json-string rule", [&](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { + p.rule("json-string", [&]() { + return p.choice({ p.double_quoted_string(), p.single_quoted_string() }); + }); + return p.json(); + }); + + std::string input = "{\"name\": \"test\"}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("json() accepts mixed quote styles with flexible json-string rule", [&](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { + p.rule("json-string", [&]() { + return p.choice({ p.double_quoted_string(), p.single_quoted_string() }); + }); + return p.json(); + }); + + std::string input = "{\"name\": 'test', 'value': \"hello\"}"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + + t.test("complex nested structure with flexible json-string rule", [&](testing &t) { + auto parser = build_peg_parser([](common_peg_parser_builder & p) { + p.rule("json-string", [&]() { + return p.choice({ p.double_quoted_string(), p.single_quoted_string() }); + }); + return p.json(); + }); + + std::string input = "{ 'obj' : { 'something': 1, 'other \"something\"' : 'foo\\'s bar' } }"; + common_peg_parse_context ctx(input); + + auto result = parser.parse(ctx); + t.assert_true("success", result.success()); + t.assert_equal("end", input.size(), result.end); + }); + }); +} diff --git a/tests/peg-parser/tests.h b/tests/peg-parser/tests.h index 4d3f4e9eaf..debd4286c5 100644 --- a/tests/peg-parser/tests.h +++ b/tests/peg-parser/tests.h @@ -22,3 +22,4 @@ void test_json_parser(testing &t); void test_gbnf_generation(testing &t); void test_unicode(testing &t); void test_json_serialization(testing &t); +void test_python_dict_parser(testing &t); diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index c4b9540f4f..faa771e086 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -7820,6 +7820,8 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_mul_mat(type_a, GGML_TYPE_F32, 1, 64, 256, {1, 1}, {1, 1})); } + test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q8_0, GGML_TYPE_F32, 6, 4096, 5120, {1, 1}, {1, 1})); + #if 0 // test the mat-mat path for Metal for (int k = 1; k < 512; ++k) { diff --git a/tests/test-chat-auto-parser.cpp b/tests/test-chat-auto-parser.cpp new file mode 100644 index 0000000000..f2364862c5 --- /dev/null +++ b/tests/test-chat-auto-parser.cpp @@ -0,0 +1,1889 @@ +#include "chat-auto-parser-helpers.h" +#include "chat-auto-parser.h" +#include "chat-peg-parser.h" +#include "chat.h" +#include "peg-parser.h" +#include "testing.h" + +#include +#include +#include +#include + +using namespace autoparser; + +static void test_calculate_diff_split_basic(testing & t); +static void test_calculate_diff_split_identical(testing & t); +static void test_calculate_diff_split_common_prefix(testing & t); +static void test_calculate_diff_split_common_suffix(testing & t); +static void test_calculate_diff_split_common_both(testing & t); +static void test_calculate_diff_split_empty_cases(testing & t); +static void test_calculate_diff_split_no_common(testing & t); +static void test_calculate_diff_split_single_char(testing & t); +static void test_calculate_diff_split_overlaps(testing & t); +static void test_calculate_diff_split_tag_boundaries(testing & t); +static void test_calculate_diff_split(testing & t); + +static void test_until_common_prefix_basic(testing & t); +static void test_until_common_prefix(testing & t); + +static void test_after_common_suffix_basic(testing & t); +static void test_after_common_suffix(testing & t); + +static void test_analyze_tool_call_pure_json(testing & t); +static void test_analyze_tool_call_function_name_markers(testing & t); +static void test_analyze_tool_call_full_markers(testing & t); +static void test_analyze_tool_call_edge_cases(testing & t); + +static void test_compare_variants_basic(testing & t); +static void test_compare_variants_messages_modifier(testing & t); +static void test_compare_variants_tools_modifier(testing & t); +static void test_compare_variants_both_modifiers(testing & t); +static void test_compare_variants_template_failure(testing & t); +static void test_compare_variants_identity(testing & t); +static void test_compare_variants(testing & t); + +// Seed-OSS template tool calling analysis tests +static void test_seed_oss_tool_analysis(testing & t); +static void test_seed_oss_tool_presence(testing & t); +static void test_seed_oss_call_count(testing & t); +static void test_seed_oss_function_names(testing & t); +static void test_seed_oss_argument_count(testing & t); +static void test_seed_oss_args_presence(testing & t); +static void test_seed_oss_tool_with_reasoning(testing & t); + +// Nemotron template analysis tests +static void test_nemotron_analysis(testing & t); +static void test_nemotron_reasoning_detection(testing & t); +static void test_nemotron_tool_format(testing & t); + +// CohereForAI template analysis tests +static void test_cohere_reasoning_detection(testing & t); +static void test_cohere_analysis(testing & t); + +// Marker separation +static void test_marker_separation(testing & t); + +// standard_json_tools format tests +static void test_standard_json_tools_formats(testing & t); +static void test_standard_json_tools_openai(testing & t); +static void test_standard_json_tools_cohere(testing & t); +static void test_standard_json_tools_function_key(testing & t); + +// normalize_quotes_to_json tests +static void test_normalize_quotes_to_json(testing & t); +static void test_normalize_quotes_with_embedded_quotes(testing & t); + +// TAG_WITH_TAGGED argument parsing tests +static void test_tagged_args_with_embedded_quotes(testing & t); + +int main(int argc, char * argv[]) { + testing t(std::cout); + t.verbose = true; + + // usage: test-chat-auto-parser-helpers [filter_regex] + + if (argc > 1) { + t.set_filter(argv[1]); + } + + t.test("diff_split", test_calculate_diff_split); + t.test("common_prefix", test_until_common_prefix); + t.test("common_suffix", test_after_common_suffix); + t.test("compare_variants", test_compare_variants); + t.test("segments", test_marker_separation); + t.test("seed_oss_diffs", test_seed_oss_tool_analysis); + t.test("cohere", test_cohere_analysis); + t.test("nemotron", test_nemotron_analysis); + t.test("standard_json_tools", test_standard_json_tools_formats); + t.test("normalize_quotes_to_json", test_normalize_quotes_to_json); + t.test("tagged_args_embedded_quotes", test_tagged_args_with_embedded_quotes); + + return t.summary(); +} + +static void test_marker_separation(testing & t) { + auto single_square_marker = segmentize_markers("pre_marker[marker]post_marker"); + auto single_diag_marker = segmentize_markers("pre_markerpost_marker"); + auto paired_markers = segmentize_markers("world"); + auto double_different_markers = segmentize_markers("[hello][world]"); + auto in_between = segmentize_markers("imdabada[hey]"); + + t.test("single_square_marker", [&] (testing & t) { + t.assert_equal("first is text", segment_type::TEXT, single_square_marker[0].type); + t.assert_equal("second is marker", segment_type::MARKER, single_square_marker[1].type); + t.assert_equal("last is text", segment_type::TEXT, single_square_marker[2].type); + + t.assert_equal("first is 'pre_marker'", "pre_marker", single_square_marker[0].value); + t.assert_equal("second is '[marker]'", "[marker]", single_square_marker[1].value); + t.assert_equal("last is 'post_marker'", "post_marker", single_square_marker[2].value); + }); + + t.test("single_diagonal_marker", [&] (testing & t) { + t.assert_equal("first is text", segment_type::TEXT, single_diag_marker[0].type); + t.assert_equal("second is marker", segment_type::MARKER, single_diag_marker[1].type); + t.assert_equal("last is text", segment_type::TEXT, single_diag_marker[2].type); + + t.assert_equal("first is 'pre_marker'", "pre_marker", single_diag_marker[0].value); + t.assert_equal("second is ''", "", single_diag_marker[1].value); + t.assert_equal("last is 'post_marker'", "post_marker", single_diag_marker[2].value); + }); + + t.test("paired_markers", [&] (testing & t) { + t.assert_equal("first is marker", segment_type::MARKER, paired_markers[0].type); + t.assert_equal("second is text", segment_type::TEXT, paired_markers[1].type); + t.assert_equal("third is marker", segment_type::MARKER, paired_markers[2].type); + + t.assert_equal("first is ''", "", paired_markers[0].value); + t.assert_equal("second is 'world'", "world", paired_markers[1].value); + t.assert_equal("third is ''", "", paired_markers[2].value); + }); + + t.test("double_different_markers", [&] (testing & t) { + t.assert_equal("first is marker", segment_type::MARKER, double_different_markers[0].type); + t.assert_equal("second is marker", segment_type::MARKER, double_different_markers[1].type); + t.assert_equal("third is marker", segment_type::MARKER, double_different_markers[2].type); + t.assert_equal("fourth is marker", segment_type::MARKER, double_different_markers[3].type); + + t.assert_equal("first is ''", "", double_different_markers[0].value); + t.assert_equal("second is '[hello]'", "[hello]", double_different_markers[1].value); + t.assert_equal("third is ''", "", double_different_markers[2].value); + t.assert_equal("fourth is '[world]'", "[world]", double_different_markers[3].value); + }); + + t.test("in_between", [&] (testing & t) { + t.assert_equal("first is text", segment_type::TEXT, in_between[0].type); + t.assert_equal("second is marker", segment_type::MARKER, in_between[1].type); + t.assert_equal("third is text", segment_type::TEXT, in_between[2].type); + t.assert_equal("fourth is marker", segment_type::MARKER, in_between[3].type); + t.assert_equal("fifth is text", segment_type::TEXT, in_between[4].type); + t.assert_equal("sixth is marker", segment_type::MARKER, in_between[5].type); + + t.assert_equal("first is 'im'", "im", in_between[0].value); + t.assert_equal("second is ''", "", in_between[1].value); + t.assert_equal("third is 'daba'", "daba", in_between[2].value); + t.assert_equal("fourth is ''", "", in_between[3].value); + t.assert_equal("fifth is 'da'", "da", in_between[4].value); + t.assert_equal("sixth is '[hey]'", "[hey]", in_between[5].value); + }); +} + +static void test_calculate_diff_split(testing & t) { + t.test("calculate_diff_split basic", test_calculate_diff_split_basic); + t.test("calculate_diff_split identical", test_calculate_diff_split_identical); + t.test("calculate_diff_split common prefix", test_calculate_diff_split_common_prefix); + t.test("calculate_diff_split common suffix", test_calculate_diff_split_common_suffix); + t.test("calculate_diff_split common both", test_calculate_diff_split_common_both); + t.test("calculate_diff_split empty cases", test_calculate_diff_split_empty_cases); + t.test("calculate_diff_split no common", test_calculate_diff_split_no_common); + t.test("calculate_diff_split single char", test_calculate_diff_split_single_char); + t.test("calculate_diff_split overlaps", test_calculate_diff_split_overlaps); + t.test("calculate_diff_split tag boundaries", test_calculate_diff_split_tag_boundaries); +} + +static void test_calculate_diff_split_basic(testing & t) { + diff_split result = calculate_diff_split("hello world", "hello test"); + t.assert_equal("prefix should be 'hello '", "hello ", result.prefix); + t.assert_equal("left should be 'world'", "world", result.left); + t.assert_equal("right should be 'test'", "test", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("abc", "xyz"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'abc'", "abc", result.left); + t.assert_equal("right should be 'xyz'", "xyz", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("prefixA suffix", "prefixB suffix"); + t.assert_equal("prefix should be 'prefix'", "prefix", result.prefix); + t.assert_equal("left should be 'A'", "A", result.left); + t.assert_equal("right should be 'B'", "B", result.right); + t.assert_equal("suffix should be ' suffix'", " suffix", result.suffix); +} + +static void test_calculate_diff_split_identical(testing & t) { + diff_split result = calculate_diff_split("hello", "hello"); + t.assert_equal("prefix should be 'hello'", "hello", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("", ""); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("a", "a"); + t.assert_equal("prefix should be 'a'", "a", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("", ""); + t.assert_equal("prefix should be ''", "", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); +} + +static void test_calculate_diff_split_common_prefix(testing & t) { + diff_split result = calculate_diff_split("abcdef", "abcxyz"); + t.assert_equal("prefix should be 'abc'", "abc", result.prefix); + t.assert_equal("left should be 'def'", "def", result.left); + t.assert_equal("right should be 'xyz'", "xyz", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("same", "sameagain"); + t.assert_equal("prefix should be 'same'", "same", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be 'again'", "again", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("test", "testing"); + t.assert_equal("prefix should be 'test'", "test", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be 'ing'", "ing", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); +} + +static void test_calculate_diff_split_common_suffix(testing & t) { + diff_split result = calculate_diff_split("123end", "456end"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be '123'", "123", result.left); + t.assert_equal("right should be '456'", "456", result.right); + t.assert_equal("suffix should be 'end'", "end", result.suffix); + + result = calculate_diff_split("start", "end"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'start'", "start", result.left); + t.assert_equal("right should be 'end'", "end", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("abcsuffix", "xyzsuffix"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'abc'", "abc", result.left); + t.assert_equal("right should be 'xyz'", "xyz", result.right); + t.assert_equal("suffix should be 'suffix'", "suffix", result.suffix); +} + +static void test_calculate_diff_split_common_both(testing & t) { + diff_split result = calculate_diff_split("helloXworld", "helloYworld"); + t.assert_equal("prefix should be 'hello'", "hello", result.prefix); + t.assert_equal("left should be 'X'", "X", result.left); + t.assert_equal("right should be 'Y'", "Y", result.right); + t.assert_equal("suffix should be 'world'", "world", result.suffix); + + result = calculate_diff_split("ABCmiddleXYZ", "ABCdifferentXYZ"); + t.assert_equal("prefix should be 'ABC'", "ABC", result.prefix); + t.assert_equal("left should be 'middle'", "middle", result.left); + t.assert_equal("right should be 'different'", "different", result.right); + t.assert_equal("suffix should be 'XYZ'", "XYZ", result.suffix); + + result = calculate_diff_split("startAend", "startBend"); + t.assert_equal("prefix should be 'start'", "start", result.prefix); + t.assert_equal("left should be 'A'", "A", result.left); + t.assert_equal("right should be 'B'", "B", result.right); + t.assert_equal("suffix should be 'end'", "end", result.suffix); + + // Edge case: common prefix and suffix overlap + result = calculate_diff_split("aa", "ab"); + t.assert_equal("prefix should be 'a'", "a", result.prefix); + t.assert_equal("left should be 'a'", "a", result.left); + t.assert_equal("right should be 'b'", "b", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); +} + +static void test_calculate_diff_split_empty_cases(testing & t) { + // Empty left, non-empty right + diff_split result = calculate_diff_split("", "hello"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be 'hello'", "hello", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Non-empty left, empty right + result = calculate_diff_split("hello", ""); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'hello'", "hello", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Both empty + result = calculate_diff_split("", ""); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Left single char, empty right + result = calculate_diff_split("a", ""); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'a'", "a", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Empty left, right single char + result = calculate_diff_split("", "a"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be 'a'", "a", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); +} + +static void test_calculate_diff_split_no_common(testing & t) { + diff_split result = calculate_diff_split("abc", "xyz"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'abc'", "abc", result.left); + t.assert_equal("right should be 'xyz'", "xyz", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("left", "right"); + // The algorithm finds "t" as a common suffix since both strings end with 't' + // This is the algorithm's actual behavior - it finds maximal common suffix + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'lef'", "lef", result.left); + t.assert_equal("right should be 'righ'", "righ", result.right); + t.assert_equal("suffix should be 't'", "t", result.suffix); + + result = calculate_diff_split("123", "456"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be '123'", "123", result.left); + t.assert_equal("right should be '456'", "456", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); +} + +static void test_calculate_diff_split_single_char(testing & t) { + diff_split result = calculate_diff_split("a", "b"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'a'", "a", result.left); + t.assert_equal("right should be 'b'", "b", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("a", "a"); + t.assert_equal("prefix should be 'a'", "a", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("a", "ab"); + t.assert_equal("prefix should be 'a'", "a", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be 'b'", "b", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("ab", "a"); + t.assert_equal("prefix should be 'a'", "a", result.prefix); + t.assert_equal("left should be 'b'", "b", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); +} + +static void test_calculate_diff_split_overlaps(testing & t) { + // One string is substring of another + diff_split result = calculate_diff_split("test", "testing"); + t.assert_equal("prefix should be 'test'", "test", result.prefix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be 'ing'", "ing", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + result = calculate_diff_split("testing", "test"); + t.assert_equal("prefix should be 'test'", "test", result.prefix); + t.assert_equal("left should be 'ing'", "ing", result.left); + t.assert_equal("right should be empty", "", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Similar strings with one extra char at start + result = calculate_diff_split("Xtest", "Ytest"); + // The algorithm finds "test" as a common suffix since both strings end with "test" + // This is the algorithm's actual behavior - it finds maximal common suffix + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'X'", "X", result.left); + t.assert_equal("right should be 'Y'", "Y", result.right); + t.assert_equal("suffix should be 'test'", "test", result.suffix); + + // Similar strings with one extra char at end + result = calculate_diff_split("testX", "testY"); + t.assert_equal("prefix should be 'test'", "test", result.prefix); + t.assert_equal("left should be 'X'", "X", result.left); + t.assert_equal("right should be 'Y'", "Y", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Strings that are reverses + result = calculate_diff_split("abc", "cba"); + t.assert_equal("prefix should be empty", "", result.prefix); + t.assert_equal("left should be 'abc'", "abc", result.left); + t.assert_equal("right should be 'cba'", "cba", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); +} + +static void test_calculate_diff_split_tag_boundaries(testing & t) { + // Test with unclosed XML tags + diff_split result = calculate_diff_split("testcontent"); + // The fix_tag_boundaries should move incomplete tags appropriately + t.assert_true("prefix should start with 'test'", result.prefix.find("test") == 0); + t.assert_true("should handle tag boundaries", result.left != "" || result.right != "" || result.suffix != ""); + + // Test with unclosed brackets + result = calculate_diff_split("test[", "test]value"); + t.assert_true("should handle bracket boundaries", result.left != "" || result.right != "" || result.suffix != ""); + + // Test with partial tags on both sides + result = calculate_diff_split("prefix", "prefixsuffix"); + // fix_tag_boundaries moves the incomplete '<' from prefix to left/right + t.assert_equal("prefix should be 'prefix'", "prefix", result.prefix); + t.assert_equal("left should be ''", "", result.left); + t.assert_equal("right should be 'suffix'", "suffix", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Test with complex nested tags + result = calculate_diff_split("prefix
content
", "prefix
different
"); + // Algorithm finds "ent" as a common suffix because both strings end with it + // This is the actual algorithm behavior, though not semantically ideal + t.assert_equal("prefix should be 'prefix
'", "prefix
", result.prefix); + t.assert_equal("left should be 'cont'", "cont", result.left); + t.assert_equal("right should be 'differ'", "differ", result.right); + t.assert_equal("suffix should be 'ent
'", "ent
", result.suffix); + + // Test with unclosed angle bracket + result = calculate_diff_split("Hello ", "Hello test"); + t.assert_equal("prefix should be 'Hello '", "Hello ", result.prefix); + t.assert_true("left should contain ''", result.left.find("") != std::string::npos); + t.assert_equal("right should be 'test'", "test", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Test with unclosed square bracket + result = calculate_diff_split("test [array]", "test other"); + t.assert_equal("prefix should be 'test '", "test ", result.prefix); + t.assert_true("left should contain '[array]'", result.left.find("[array]") != std::string::npos); + t.assert_equal("right should be 'other'", "other", result.right); + t.assert_equal("suffix should be empty", "", result.suffix); + + // Test empty prefix and suffix with tags + result = calculate_diff_split("left", "righ"); + t.assert_equal("prefix should be ''", "", result.prefix); + t.assert_equal("left should be 'left'", "left", result.left); + t.assert_equal("right should be 'righ'", "righ", result.right); + t.assert_equal("suffix should be ''", "", result.suffix); + + { + // real case from template tests, simplified + std::string left = "PREFIXSure"; + std::string right = "PREFIXLemme thinkSure"; + result = calculate_diff_split(left, right); + t.assert_equal("prefix should be PREFIX", "PREFIX", result.prefix); + t.assert_equal("suffix should be Sure", "Sure", result.suffix); + t.assert_equal("left should be empty", "", result.left); + t.assert_equal("right should be Lemme think", "Lemme think", result.right); + } + + { + // Real case: special tokens with |> boundary issue + // The suffix starts with |> which should be moved to complete <|END_RESPONSE and <|END_ACTION + std::string prefix = "SOME_PREFIX"; + std::string suffix = "|><|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>"; + std::string left_diff = "<|START_RESPONSE|>Let me help you.<|END_RESPONSE"; + std::string right_diff = + "<|START_THINKING|><|END_THINKING|><|START_ACTION|>[\n" + " {\"tool_call_id\": \"0\", \"tool_name\": \"test_function_name\", " + "\"parameters\": {\"param1\": \"value1\", \"param2\": \"value2\"}}\n" + "]<|END_ACTION"; + + std::string left = prefix + left_diff + suffix; + std::string right = prefix + right_diff + suffix; + result = calculate_diff_split(left, right); + + t.assert_equal("special token prefix", prefix, result.prefix); + // The |> should be moved from suffix to complete the tokens + t.assert_equal("special token left", "<|START_RESPONSE|>Let me help you.<|END_RESPONSE|>", result.left); + t.assert_true("special token right ends with |>", result.right.find("<|END_ACTION|>") != std::string::npos); + t.assert_equal("special token suffix", "<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>", + result.suffix); + } +} + +static void test_until_common_prefix(testing & t) { + t.test("until_common_prefix basic", test_until_common_prefix_basic); +} + +static void test_until_common_prefix_basic(testing & t) { + // Test case from the user request + std::string result = until_common_prefix("", "", ""); + t.assert_equal("untilCommonPrefix should return ''", "", result); + + // Additional test cases to ensure robustness + // Test with different common prefix lengths + result = until_common_prefix("prefixsuffix", "different", "other"); + t.assert_equal("should return 'prefix'", "prefix", result); + + // Test when common prefix is at the start + result = until_common_prefix("rest", "left", "right"); + t.assert_equal("should return empty string when common prefix at start", "", result); + + // Test when there's no common prefix + result = until_common_prefix("something", "left", "right"); + t.assert_equal("should return empty string when no common prefix", "", result); + + // Test with empty strings + result = until_common_prefix("test", "", "right"); + t.assert_equal("should return empty string when left is empty", "", result); + + // Test with longer common prefix + result = until_common_prefix("abcXYZrest", "left", "right"); + t.assert_equal("should return 'abcXYZ'", "abcXYZ", result); +} + +static void test_after_common_suffix(testing & t) { + t.test("after_common_suffix basic", test_after_common_suffix_basic); +} + +static void test_after_common_suffix_basic(testing & t) { + // Test case from the user request + std::string result = after_common_suffix("100", + "100", + "535"); + t.assert_equal("afterCommonSuffix should return ''", "", result); + + // Test when common suffix is at the end + result = after_common_suffix("rest", "left", "right"); + t.assert_equal("should return empty string when common suffix at end", "", result); + + // Test with empty strings + result = after_common_suffix("test", "left", ""); + t.assert_equal("should return empty string when right is empty", "", result); + + // Test case with XML-like structure similar to the main example + result = after_common_suffix("value", + "value", + "different"); + t.assert_equal("should return ''", "", result); + + // Test with longer common suffix appearing at the end of full + result = after_common_suffix("prefixrest", "prefixleft", "prefixright"); + t.assert_equal("should return '' when common suffix is at end of full", "", result); + + // Test with common suffix appearing in middle but not at end + result = after_common_suffix("content", "value", "other"); + t.assert_equal("should return '' when common suffix appears before end", "", result); + + // Test with multi-character common suffix at the very end of full + result = after_common_suffix("startend", "prefixleft", "prefixright"); + t.assert_equal("should return '' when common suffix is at end of full", "", result); +} + +static void test_compare_variants(testing & t) { + t.test("compare_variants basic", test_compare_variants_basic); + t.test("compare_variants messages modifier", test_compare_variants_messages_modifier); + t.test("compare_variants tools modifier", test_compare_variants_tools_modifier); + t.test("compare_variants both modifiers", test_compare_variants_both_modifiers); + t.test("compare_variants template failure", test_compare_variants_template_failure); + t.test("compare_variants identity", test_compare_variants_identity); +} + +static void test_compare_variants_basic(testing & t) { + // Create a simple template that just echoes messages + common_chat_template tmpl("{{ messages[0]['content'] }}", "", ""); + + template_params params; + params.messages = json::array({ + json {{"role", "user"}, {"content", "Hello"}} + }); + + auto modifier = [](template_params & p) { + p.messages[0]["content"] = "World"; + }; + + auto result = ::compare_variants(tmpl, params, modifier); + + if (!t.assert_true("result should have value", result.has_value())) { + return; + } + // The template might not output anything if messages is empty or format is different + // Check that we get a valid result + t.assert_true("prefix or left should have content", !result->diff.prefix.empty() || !result->diff.left.empty()); +} + +static void test_compare_variants_messages_modifier(testing & t) { + // Test with messages modifier only + common_chat_template tmpl("{% for message in messages %}{{ message['role'] }}:{{ message['content'] }}{% endfor %}", "", ""); + + template_params params; + params.messages = json::array({ + json {{"role", "user"}, {"content", "A"}} + }); + + auto modifier = [](template_params & p) { + p.messages[0]["content"] = "B"; + }; + + std::optional result = ::compare_variants(tmpl, params, modifier); + + if (!t.assert_true("result should have value", result.has_value())) { + return; + } + t.assert_equal("left should be 'A'", "A", result->diff.left); + t.assert_equal("right should be 'B'", "B", result->diff.right); +} + +static void test_compare_variants_tools_modifier(testing & t) { + // Test with tools modifier only + common_chat_template tmpl( + "{% for tool in tools %}{{ tool['name'] }}{% endfor %}", "", ""); + + template_params params; + params.tools = json::array({ + json {{"name", "foo"}} + }); + + auto modifier = [](template_params & p) { + p.tools[0]["name"] = "bar"; + }; + + auto result = ::compare_variants(tmpl, params, modifier); + + if (!t.assert_true("result should have value", result.has_value())) { + return; + } + t.assert_equal("left should be 'foo'", "foo", result->diff.left); + t.assert_equal("right should be 'bar'", "bar", result->diff.right); +} + +static void test_compare_variants_both_modifiers(testing & t) { + // Test with both messages and tools modifiers using the for loop approach + common_chat_template tmpl( + "{% for message in messages %}{{ message['role'] }}:{{ message['content'] }}{% endfor %}", "", ""); + + template_params params; + params.messages = json::array({ + json {{"role", "user"}, {"content", "A"}} + }); + + auto modifier = [](template_params & p) { + p.messages[0]["content"] = "B"; + p.messages[0]["role"] = "newuser"; + }; + + auto result = ::compare_variants(tmpl, params, modifier); + + if (!t.assert_true("result should have value", result.has_value())) { + return; + } + t.assert_equal("left should be 'user:A'", "user:A", result->diff.left); + t.assert_equal("right should be 'newuser:B'", "newuser:B", result->diff.right); +} + +static void test_compare_variants_template_failure(testing & t) { + // Test with template that causes failure during application (not construction) + // We use a valid template syntax but one that will fail during application + common_chat_template tmpl("{{ messages[0]['nonexistent_field'] }}", "", ""); + + template_params params; + params.messages = json::array({ + json {{"role", "user"}, {"content", "Hello"}} + }); + + auto modifier = [](template_params & p) { + p.messages[0]["content"] = "World"; + }; + + auto result = ::compare_variants(tmpl, params, modifier); + + t.assert_true("result should be nullopt on template failure", !result.has_value()); +} + +static void test_compare_variants_identity(testing & t) { + // Test with identity modifier (no change) + common_chat_template tmpl("{{ messages[0]['content'] }}", "", ""); + + template_params params; + params.messages = json::array({ + json {{"role", "user"}, {"content", "Hello"}} + }); + + // No modifier - should use identity + auto result = ::compare_variants(tmpl, params, nullptr); + + if (!t.assert_true("result should have value", result.has_value())) { + return; + } + t.assert_equal("prefix should be 'Hello'", "Hello", result->diff.prefix); + t.assert_equal("left should be empty", "", result->diff.left); + t.assert_equal("right should be empty", "", result->diff.right); + t.assert_equal("suffix should be empty", "", result->diff.suffix); +} + +// ============================================================================ +// Seed-OSS Template Tool Calling Analysis Tests +// ============================================================================ + +static void test_seed_oss_tool_analysis(testing & t) { + t.test("Seed-OSS tool presence", test_seed_oss_tool_presence); + t.test("Seed-OSS call count", test_seed_oss_call_count); + t.test("Seed-OSS function names", test_seed_oss_function_names); + t.test("Seed-OSS argument count", test_seed_oss_argument_count); + t.test("Seed-OSS args presence", test_seed_oss_args_presence); + t.test("Seed-OSS tool with reasoning", test_seed_oss_tool_with_reasoning); +} + +// Helper to load Seed-OSS template +static common_chat_template load_seed_oss_template(testing & t) { + std::string template_path = "models/templates/ByteDance-Seed-OSS.jinja"; + std::ifstream fin(template_path, std::ios::binary); + std::ostringstream buf; + if (fin.is_open()) { + buf << fin.rdbuf(); + } + std::string template_source = buf.str(); + common_chat_template tmpl(template_source, "", ""); + t.assert_true("Seed-OSS template loaded successfully", template_source.length() > 0); + return tmpl; +} + +// Helper to build tool call JSON +static json build_tool_call(const std::string & name, const json & args, const std::string & id = "call_001") { + return json{ + {"id", id}, + {"type", "function"}, + {"function", json{ + {"name", name}, + {"arguments", args} + }} + }; +} + +// Helper to build tools definition +static json build_tools_definition() { + json parameters_schema = json::object(); + parameters_schema["type"] = "object"; + parameters_schema["properties"] = json::object(); + parameters_schema["properties"]["param1"] = json::object({ + {"type", "string"}, + {"description", "First parameter"} + }); + parameters_schema["properties"]["param2"] = json::object({ + {"type", "string"}, + {"description", "Second parameter"} + }); + parameters_schema["required"] = json::array({"param1", "param2"}); + + return json::array({ + json{ + {"type", "function"}, + {"function", json{ + {"name", "test_function_name"}, + {"description", "A test function for debugging"}, + {"parameters", parameters_schema} + }} + } + }); +} + +// T1: Compare with/without tool call (user, assistant) +static void test_seed_oss_tool_presence(testing & t) { + common_chat_template tmpl = load_seed_oss_template(t); + + json assistant_no_tools = json{ + {"role", "assistant"}, + {"content", "Let me help you."} + }; + + json assistant_with_tools = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})) + })} + }; + + json user_msg = json{ + {"role", "user"}, + {"content", "Hello, please help me."} + }; + + template_params params_no_tools; + params_no_tools.messages = json::array({user_msg, assistant_no_tools}); + params_no_tools.tools = build_tools_definition(); + params_no_tools.add_generation_prompt = false; + params_no_tools.enable_thinking = true; + + template_params params_with_tools; + params_with_tools.messages = json::array({user_msg, assistant_with_tools}); + params_with_tools.tools = build_tools_definition(); + params_with_tools.add_generation_prompt = false; + params_with_tools.enable_thinking = true; + + auto result = ::compare_variants(tmpl, params_no_tools, + [&](template_params & p) { + p.messages = params_with_tools.messages; + }); + + if (!t.assert_true("T1 result should have value", result.has_value())) { + return; + } + + const auto & diff = result->diff; + t.assert_true("T1 prefix should contain system", diff.prefix.find("system") != std::string::npos); + t.assert_true("T1 prefix should contain user", diff.prefix.find("user") != std::string::npos); + t.assert_true("T1 prefix should contain assistant", diff.prefix.find("assistant") != std::string::npos); + + // Left should be the assistant content without tool + t.assert_equal("T1 left should contain 'Let me help you.'", "Let me help you.", diff.left); + + // Right should contain the tool call markers + t.assert_true("T1 right should contain tool_call begin", diff.right.find("") != std::string::npos); + t.assert_true("T1 right should contain function tag", diff.right.find("") != std::string::npos); + t.assert_true("T1 right should contain parameter=param1", diff.right.find("") != std::string::npos); + t.assert_true("T1 right should contain parameter=param2", diff.right.find("") != std::string::npos); + t.assert_true("T1 right should contain value1", diff.right.find("value1") != std::string::npos); + t.assert_true("T1 right should contain value2", diff.right.find("value2") != std::string::npos); + t.assert_true("T1 right should contain tool_call end", diff.right.find("") != std::string::npos); + + // Suffix should be the eos token + t.assert_equal("T1 suffix should be ''", "", diff.suffix); +} + +// T2: Compare one vs two tool calls +static void test_seed_oss_call_count(testing & t) { + common_chat_template tmpl = load_seed_oss_template(t); + + json assistant_one_call = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})) + })} + }; + + json assistant_two_calls = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})), + build_tool_call("test_function_name", json::object({{"param1", "value3"}, {"param2", "value4"}}), "call_002") + })} + }; + + json user_msg = json{ + {"role", "user"}, + {"content", "Hello, please help me."} + }; + + template_params params_one; + params_one.messages = json::array({user_msg, assistant_one_call}); + params_one.tools = build_tools_definition(); + params_one.add_generation_prompt = false; + params_one.enable_thinking = true; + + auto result = ::compare_variants(tmpl, params_one, + [&](template_params & p) { + p.messages = json::array({user_msg, assistant_two_calls}); + }); + + if (!t.assert_true("T2 result should have value", result.has_value())) { + return; + } + + const auto & diff = result->diff; + + // Prefix should include the first tool call + t.assert_true("T2 prefix should contain first tool_call begin", diff.prefix.find("") != std::string::npos); + t.assert_true("T2 prefix should contain first function", diff.prefix.find("") != std::string::npos); + t.assert_true("T2 prefix should contain value1", diff.prefix.find("value1") != std::string::npos); + t.assert_true("T2 prefix should contain value2", diff.prefix.find("value2") != std::string::npos); + t.assert_true("T2 prefix should contain first tool_call end", diff.prefix.find("") != std::string::npos); + + // Left should be empty (no second tool call in variant A) + t.assert_equal("T2 left should be empty", "", diff.left); + + // Right should contain the second tool call + t.assert_true("T2 right should contain second tool_call begin", diff.right.find("") != std::string::npos); + t.assert_true("T2 right should contain second function", diff.right.find("") != std::string::npos); + t.assert_true("T2 right should contain value3", diff.right.find("value3") != std::string::npos); + t.assert_true("T2 right should contain value4", diff.right.find("value4") != std::string::npos); + t.assert_true("T2 right should contain second tool_call end", diff.right.find("") != std::string::npos); + + // Suffix should end with the eos token + t.assert_equal("T2 suffix should end with ''", "", diff.suffix.substr(diff.suffix.length() - 10, 10)); +} + +// T3: Compare different function names +static void test_seed_oss_function_names(testing & t) { + common_chat_template tmpl = load_seed_oss_template(t); + + // Build tools with two different function names + json parameters_schema = json::object(); + parameters_schema["type"] = "object"; + parameters_schema["properties"] = json::object(); + parameters_schema["properties"]["arg1"] = json::object({ + {"type", "string"}, + {"description", "Argument 1"} + }); + parameters_schema["required"] = json::array({"arg1"}); + + json tools = json::array({ + json{ + {"type", "function"}, + {"function", json{ + {"name", "func_alpha"}, + {"description", "First function"}, + {"parameters", parameters_schema} + }} + }, + json{ + {"type", "function"}, + {"function", json{ + {"name", "func_beta"}, + {"description", "Second function"}, + {"parameters", parameters_schema} + }} + } + }); + + json assistant_func_alpha = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("func_alpha", json::object({{"arg1", "test_value"}})) + })} + }; + + json assistant_func_beta = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("func_beta", json::object({{"arg1", "test_value"}})) + })} + }; + + json user_msg = json{ + {"role", "user"}, + {"content", "Hello"} + }; + + template_params params_alpha; + params_alpha.messages = json::array({user_msg, assistant_func_alpha}); + params_alpha.tools = tools; + params_alpha.add_generation_prompt = false; + params_alpha.enable_thinking = true; + + auto result = ::compare_variants(tmpl, params_alpha, + [&](template_params & p) { + p.messages = json::array({user_msg, assistant_func_beta}); + }); + + if (!t.assert_true("T3 result should have value", result.has_value())) { + return; + } + + const auto & diff = result->diff; + + bool func_alpha_in_left = diff.left.find("func_alpha") != std::string::npos; + bool func_alpha_in_prefix = diff.prefix.find("func_alpha") != std::string::npos; + bool func_beta_in_right = diff.right.find("func_beta") != std::string::npos; + bool func_beta_in_prefix = diff.prefix.find("func_beta") != std::string::npos; + bool func_beta_in_suffix = diff.suffix.find("func_beta") != std::string::npos; + + // Left should contain func_alpha (or be in prefix) + t.assert_true("T3 left should contain func_alpha (or prefix)", func_alpha_in_left || func_alpha_in_prefix); + + // Right should contain func_beta + t.assert_true("T3 right should contain func_beta", func_beta_in_right || func_beta_in_prefix || func_beta_in_suffix); + + // Both should have the same parameter value (in common parts, not in diffs) + // Since both have same args, test_value will be in prefix/suffix + t.assert_true("T3 diff should contain test_value (in prefix or suffix)", + diff.prefix.find("test_value") != std::string::npos || diff.suffix.find("test_value") != std::string::npos); +} + +// T4: Compare different argument counts (zero, one, two parameters) +static void test_seed_oss_argument_count(testing & t) { + common_chat_template tmpl = load_seed_oss_template(t); + + // Build tools with 0, 1, or 2 required parameters + json params_2_required = json::object(); + params_2_required["type"] = "object"; + params_2_required["properties"] = json::object(); + params_2_required["properties"]["arg1"] = json::object({ + {"type", "string"}, + {"description", "Argument 1"} + }); + params_2_required["properties"]["arg2"] = json::object({ + {"type", "string"}, + {"description", "Argument 2"} + }); + params_2_required["required"] = json::array({"arg1", "arg2"}); + + json params_1_required = json::object(); + params_1_required["type"] = "object"; + params_1_required["properties"] = json::object(); + params_1_required["properties"]["arg1"] = json::object({ + {"type", "string"}, + {"description", "Argument 1"} + }); + params_1_required["required"] = json::array({"arg1"}); + + json tools = json::array({ + json{ + {"type", "function"}, + {"function", json{ + {"name", "test_func"}, + {"description", "Test function"}, + {"parameters", params_2_required} + }} + } + }); + + // Test: zero args vs one arg + json assistant_zero_args = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_func", json::object()) + })} + }; + + json assistant_one_arg = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_func", json::object({{"arg1", "value1"}})) + })} + }; + + json assistant_two_args = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_func", json::object({{"arg1", "value1"}, {"arg2", "value2"}})) + })} + }; + + json user_msg = json{ + {"role", "user"}, + {"content", "Hello"} + }; + + // Test zero vs one + template_params params_zero; + params_zero.messages = json::array({user_msg, assistant_zero_args}); + params_zero.tools = tools; + params_zero.add_generation_prompt = false; + params_zero.enable_thinking = true; + + auto result_zero_one = ::compare_variants(tmpl, params_zero, + [&](template_params & p) { + p.messages = json::array({user_msg, assistant_one_arg}); + }); + + if (!t.assert_true("T4 zero vs one result should have value", result_zero_one.has_value())) { + return; + } + t.assert_true("T4 zero vs one left should be empty or minimal", result_zero_one->diff.left.empty() || result_zero_one->diff.left == ""); + t.assert_true("T4 zero vs one right should contain arg1", result_zero_one->diff.right.find("arg1") != std::string::npos); + + // Test one vs two + template_params params_one; + params_one.messages = json::array({user_msg, assistant_one_arg}); + params_one.tools = tools; + params_one.add_generation_prompt = false; + params_one.enable_thinking = true; + + auto result_one_two = ::compare_variants(tmpl, params_one, + [&](template_params & p) { + p.messages = json::array({user_msg, assistant_two_args}); + }); + + if (!t.assert_true("T4 one vs two result should have value", result_one_two.has_value())) { + return; + } + + const auto & diff4 = result_one_two->diff; + t.assert_true("T4 one vs two left should contain arg1 (or prefix)", + diff4.left.find("arg1") != std::string::npos || diff4.prefix.find("arg1") != std::string::npos); + t.assert_true("T4 one vs two right should contain arg1 (or prefix)", + diff4.right.find("arg1") != std::string::npos || diff4.prefix.find("arg1") != std::string::npos); + t.assert_true("T4 one vs two right should contain arg2 (or prefix/suffix)", + diff4.right.find("arg2") != std::string::npos || diff4.prefix.find("arg2") != std::string::npos || diff4.suffix.find("arg2") != std::string::npos); +} + +// T5: Compare different argument values +static void test_seed_oss_args_presence(testing & t) { + common_chat_template tmpl = load_seed_oss_template(t); + + json assistant_same_arg = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}})) + })} + }; + + json assistant_other_arg = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param2", "value2"}})) + })} + }; + + json assistant_both_args = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})) + })} + }; + + json user_msg = json{ + {"role", "user"}, + {"content", "Hello"} + }; + + template_params params_same; + params_same.messages = json::array({user_msg, assistant_same_arg}); + params_same.tools = build_tools_definition(); + params_same.add_generation_prompt = false; + params_same.enable_thinking = true; + + // Test same arg vs other arg + auto result_same_other = ::compare_variants(tmpl, params_same, + [&](template_params & p) { + p.messages = json::array({user_msg, assistant_other_arg}); + }); + + if (!t.assert_true("T5 same vs other result should have value", result_same_other.has_value())) { + return; + } + const auto & diff5a = result_same_other->diff; + t.assert_true("T5 same vs other left should contain param1 (or prefix/suffix)", + diff5a.left.find("param1") != std::string::npos || diff5a.prefix.find("param1") != std::string::npos || diff5a.suffix.find("param1") != std::string::npos); + t.assert_true("T5 same vs other left should contain value1 (or prefix/suffix)", + diff5a.left.find("value1") != std::string::npos || diff5a.prefix.find("value1") != std::string::npos); + t.assert_true("T5 same vs other right should contain param2 (or prefix/suffix)", + diff5a.right.find("param2") != std::string::npos || diff5a.prefix.find("param2") != std::string::npos || diff5a.suffix.find("param2") != std::string::npos); + t.assert_true("T5 same vs other right should contain value2 (or prefix/suffix)", + diff5a.right.find("value2") != std::string::npos || diff5a.prefix.find("value2") != std::string::npos || diff5a.suffix.find("value2") != std::string::npos); + + // Test same arg vs both args + auto result_same_both = ::compare_variants(tmpl, params_same, + [&](template_params & p) { + p.messages = json::array({user_msg, assistant_both_args}); + }); + + if (!t.assert_true("T5 same vs both result should have value", result_same_both.has_value())) { + return; + } + const auto & diff5b = result_same_both->diff; + t.assert_true("T5 same vs both left should contain param1 (or prefix/suffix)", + diff5b.left.find("param1") != std::string::npos || diff5b.prefix.find("param1") != std::string::npos || diff5b.suffix.find("param1") != std::string::npos); + t.assert_true("T5 same vs both right should contain param1 (or prefix/suffix)", + diff5b.right.find("param1") != std::string::npos || diff5b.prefix.find("param1") != std::string::npos || diff5b.suffix.find("param1") != std::string::npos); + t.assert_true("T5 same vs both right should contain param2 (or prefix/suffix)", + diff5b.right.find("param2") != std::string::npos || diff5b.prefix.find("param2") != std::string::npos || diff5b.suffix.find("param2") != std::string::npos); +} + +// T6: Tool call with vs without reasoning_content +static void test_seed_oss_tool_with_reasoning(testing & t) { + common_chat_template tmpl = load_seed_oss_template(t); + + json assistant_tool_only = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})) + })} + }; + + json assistant_tool_with_reasoning = json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})) + })}, + {"reasoning_content", "I need to call the tool first."} + }; + + json user_msg = json{ + {"role", "user"}, + {"content", "Hello, please help me."} + }; + + template_params params_tool_only; + params_tool_only.messages = json::array({user_msg, assistant_tool_only}); + params_tool_only.tools = build_tools_definition(); + params_tool_only.add_generation_prompt = false; + params_tool_only.enable_thinking = true; + + auto result = ::compare_variants(tmpl, params_tool_only, + [&](template_params & p) { + p.messages = json::array({user_msg, assistant_tool_with_reasoning}); + }); + + if (!t.assert_true("T6 result should have value", result.has_value())) { + return; + } + + const auto & diff = result->diff; + + // Left should be empty (no reasoning in variant A) + t.assert_equal("T6 left should be empty", "", diff.left); + + // Right should contain the thinking token with reasoning content + t.assert_true("T6 right should contain think begin", diff.right.find("") != std::string::npos); + t.assert_true("T6 right should contain reasoning content", diff.right.find("I need to call the tool first.") != std::string::npos); + t.assert_true("T6 right should contain think end", diff.right.find("") != std::string::npos); + + // Prefix should contain the assistant role + t.assert_true("T6 prefix should contain assistant", diff.prefix.find("assistant") != std::string::npos); + + // Suffix should contain the tool call + t.assert_true("T6 suffix should contain tool_call begin", diff.suffix.find("") != std::string::npos); + t.assert_true("T6 suffix should contain function name", diff.suffix.find("test_function_name") != std::string::npos); + t.assert_true("T6 suffix should contain eos", diff.suffix.find("") != std::string::npos); +} + +static common_chat_template load_template(testing & t, const std::string & template_path) { + std::ifstream fin(template_path, std::ios::binary); + std::ostringstream buf; + if (fin.is_open()) { + buf << fin.rdbuf(); + } + std::string template_source = buf.str(); + common_chat_template tmpl(template_source, "", ""); + t.assert_true("Nemotron template loaded successfully", template_source.length() > 0); + return tmpl; +} + +// ============================================================================ +// Nemotron Template Analysis Tests +// ============================================================================ +static common_chat_template load_nemotron_template(testing & t) { + return load_template(t, "models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja"); +} + +static void test_nemotron_analysis(testing & t) { + t.test("Nemotron reasoning detection", test_nemotron_reasoning_detection); + t.test("Nemotron tool format", test_nemotron_tool_format); +} + +static void test_nemotron_reasoning_detection(testing & t) { + common_chat_template tmpl = load_nemotron_template(t); + + // Test the comparison manually to see what's happening + json user_msg = json{ { "role", "user" }, { "content", "Hello" } }; + json assistant_no_reasoning = json{ + { "role", "assistant" }, + { "content", "I can help." } + }; + json assistant_with_reasoning = json{ + { "role", "assistant" }, + { "content", "I can help." }, + { "reasoning_content", "Let me think about this." } + }; + + template_params params; + params.messages = json::array({ user_msg, assistant_no_reasoning }); + params.add_generation_prompt = false; + params.enable_thinking = true; + + // Run differential analysis + struct autoparser analysis; + analysis.analyze_template(tmpl); + + // Check reasoning markers + t.assert_equal("reasoning_start should be ''", "", analysis.reasoning.start); + t.assert_equal("reasoning_end should be '\\n'", "\n", analysis.reasoning.end); + + // Check reasoning mode detection + // Nemotron uses forced closed reasoning with add_generation_prompt + t.assert_equal("reasoning should be FORCED_CLOSED", reasoning_mode::FORCED_CLOSED, analysis.reasoning.mode); + + // Make sure reasoning markers don't spill over to content markers + t.assert_equal("content start should be empty", "", analysis.content.start); + t.assert_equal("content end should be empty", "", analysis.content.end); + + t.assert_equal("content should be PLAIN", content_mode::PLAIN, analysis.content.mode); +} + +static void test_nemotron_tool_format(testing & t) { + common_chat_template tmpl = load_nemotron_template(t); + + // Run differential analysis + struct autoparser analysis; + analysis.analyze_template(tmpl); + + // Check tool markers - Nemotron uses per-call wrapping (each call individually wrapped) + t.assert_equal("tool_section_start should be empty (per-call format)", "", analysis.tools.format.section_start); + t.assert_equal("tool_section_end should be empty (per-call format)", "", analysis.tools.format.section_end); + t.assert_equal("per_call_start should be '\\n'", "\n", analysis.tools.format.per_call_start); + t.assert_equal("per_call_end should be ''", "", analysis.tools.format.per_call_end); + t.assert_true("should support parallel calls", analysis.jinja_caps.supports_parallel_tool_calls); + + // Check function markers + t.assert_equal("func_name_prefix should be '\\n'", ">\n", analysis.tools.function.name_suffix); + t.assert_equal("func_close should be '\\n'", "\n", analysis.tools.function.close); + + // Check argument markers (note: markers retain trailing newlines for proper parsing) + t.assert_equal("arg_name_prefix should be '\\n'", ">\n", analysis.tools.arguments.name_suffix); + t.assert_equal("arg_value_suffix should be '\\n'", "\n", analysis.tools.arguments.value_suffix); + + // Check format classification + t.assert_true("tool format should be TAG_WITH_TAGGED", analysis.tools.format.mode == tool_format::TAG_WITH_TAGGED); + + // Verify tool support + t.assert_true("should support tools", analysis.jinja_caps.supports_tools); +} + +static common_chat_template load_cohere_template(testing & t) { + return load_template(t, "models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja"); +} + +static void test_cohere_analysis(testing & t) { + t.test("Cohere reasoning detection", test_cohere_reasoning_detection); +} + +static void test_cohere_reasoning_detection(testing & t) { + common_chat_template tmpl = load_cohere_template(t); + + // Run differential analysis + struct autoparser analysis; + analysis.analyze_template(tmpl); + + // Check reasoning markers - Cohere uses special token format + t.assert_equal("reasoning_start should be '<|START_THINKING|>'", "<|START_THINKING|>", analysis.reasoning.start); + t.assert_equal("reasoning_end should be '<|END_THINKING|>'", "<|END_THINKING|>", analysis.reasoning.end); + + // Check reasoning mode - Cohere only shows reasoning with tool calls (TOOLS_ONLY) + t.assert_equal("reasoning should be TOOLS_ONLY", reasoning_mode::TOOLS_ONLY, analysis.reasoning.mode); + + // Check content markers - Cohere wraps all content with START/END_RESPONSE + t.assert_equal("content_start should be '<|START_RESPONSE|>'", "<|START_RESPONSE|>", analysis.content.start); + t.assert_equal("content_end should be '<|END_RESPONSE|>'", "<|END_RESPONSE|>", analysis.content.end); + + // Content is always wrapped (both with and without tools) + t.assert_equal("content should be ALWAYS_WRAPPED", content_mode::ALWAYS_WRAPPED, analysis.content.mode); +} + +static void test_tool_format_cohere(testing & t) { + common_chat_template tmpl = load_cohere_template(t); + + // Run differential analysis + struct autoparser analysis; + analysis.analyze_template(tmpl); + + // Check tool section markers - Cohere uses ACTION markers + t.assert_equal("tool_section_start should be '<|START_ACTION|>'", "<|START_ACTION|>", analysis.tools.format.section_start); + t.assert_equal("tool_section_end should be '<|END_ACTION|>'", "<|END_ACTION|>", analysis.tools.format.section_end); + + // JSON_NATIVE format has no per-call markers + t.assert_equal("per_call_start should be empty", "", analysis.tools.format.per_call_start); + t.assert_equal("per_call_end should be empty", "", analysis.tools.format.per_call_end); + + // JSON_NATIVE format has empty function markers (no XML-style markers) + t.assert_equal("func_name_prefix should be empty", "", analysis.tools.function.name_prefix); + t.assert_equal("func_name_suffix should be empty", "", analysis.tools.function.name_suffix); + t.assert_equal("func_close should be empty", "", analysis.tools.function.close); + + // JSON_NATIVE format has empty args markers + t.assert_equal("args_start should be empty", "", analysis.tools.arguments.start); + t.assert_equal("args_end should be empty", "", analysis.tools.arguments.end); + + // JSON_NATIVE format has empty argument markers + t.assert_equal("arg_name_prefix should be empty", "", analysis.tools.arguments.name_prefix); + t.assert_equal("arg_name_suffix should be empty", "", analysis.tools.arguments.name_suffix); + t.assert_equal("arg_value_prefix should be empty", "", analysis.tools.arguments.value_prefix); + t.assert_equal("arg_value_suffix should be empty", "", analysis.tools.arguments.value_suffix); + t.assert_equal("arg_separator should be empty", "", analysis.tools.arguments.separator); + + // Check JSON field names - Cohere uses non-standard names + t.assert_equal("name_field should be 'tool_name'", "tool_name", analysis.tools.format.name_field); + t.assert_equal("args_field should be 'parameters'", "parameters", analysis.tools.format.args_field); + // This isn't a real tool call id field, i.e. with the OpenAI tool call ID format + t.assert_equal("id_field should be 'tool_call_id'", "", analysis.tools.format.id_field); + + // Check format classification + t.assert_equal("tool format should be JSON_NATIVE", tool_format::JSON_NATIVE, analysis.tools.format.mode); + + // Check flags + t.assert_true("should support tools", analysis.jinja_caps.supports_tools); + t.assert_true("should support parallel calls", analysis.jinja_caps.supports_parallel_tool_calls); + t.assert_true("should not require nonnull content", !analysis.content.requires_nonnull_content); + t.assert_true("tools_array_wrapped should be true", analysis.tools.format.tools_array_wrapped); +} + +// ============================================================================ +// standard_json_tools Format Tests +// ============================================================================ + +// Helper to build tools definition for tests +static json build_test_tools() { + json parameters_schema = json::object(); + parameters_schema["type"] = "object"; + parameters_schema["properties"] = json::object(); + parameters_schema["properties"]["location"] = json::object({ + {"type", "string"}, + {"description", "The city and state"} + }); + parameters_schema["properties"]["unit"] = json::object({ + {"type", "string"}, + {"description", "Temperature unit"}, + {"enum", json::array({"celsius", "fahrenheit"})} + }); + parameters_schema["required"] = json::array({"location"}); + + return json::array({ + json{ + {"type", "function"}, + {"function", json{ + {"name", "get_current_weather"}, + {"description", "Get the current weather in a given location"}, + {"parameters", parameters_schema} + }} + } + }); +} + +static void test_standard_json_tools_formats(testing & t) { + t.test("OpenAI format", test_standard_json_tools_openai); + t.test("Cohere format", test_standard_json_tools_cohere); + t.test("function-as-key format", test_standard_json_tools_function_key); +} + +// Test 1: OpenAI Standard Format +// {"id": "call_abc", "function": {"name": "get_weather", "arguments": {"location": "NYC"}}} +static void test_standard_json_tools_openai(testing & t) { + json tools = build_test_tools(); + + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + auto tool_call = p.standard_json_tools( + "", "", tools, + /* parallel */ true, + /* force */ false, + /* name_key */ "function.name", + /* args_key */ "function.arguments", + /* array_wrapped */ false, + /* function_is_key */ false, + /* call_id_key */ "id", + /* gen_call_id_key */ "", + /* parameters_order */ {} + ); + return p.content(p.until("")) + p.optional(tool_call) + p.end(); + }); + + std::string input = + "Let me check the weather." + "" + R"({"id": "call_abc123", "function": {"name": "get_current_weather", "arguments": {"location": "NYC"}}})" + ""; + + common_peg_parse_context ctx(input, false); + auto result = parser.parse(ctx); + + if (!t.assert_true("parse success", result.success())) { + return; + } + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + t.assert_equal("tool calls count", 1u, msg.tool_calls.size()); + if (!msg.tool_calls.empty()) { + t.assert_equal("tool name", "get_current_weather", msg.tool_calls[0].name); + t.assert_equal("tool id", "call_abc123", msg.tool_calls[0].id); + } + t.assert_true("content present", msg.content.find("Let me check the weather") != std::string::npos); +} + +// Test 2: Cohere Format +// {"tool_call_id": 0, "tool_name": "get_weather", "parameters": {"location": "NYC"}} +static void test_standard_json_tools_cohere(testing & t) { + json tools = build_test_tools(); + + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + auto tool_call = p.standard_json_tools( + "<|START_ACTION|>[", "]<|END_ACTION|>", tools, + /* parallel */ true, + /* force */ false, + /* name_key */ "tool_name", + /* args_key */ "parameters", + /* array_wrapped */ false, // Brackets are part of section markers + /* function_is_key */ false, + /* call_id_key */ "", + /* gen_call_id_key */ "tool_call_id", + /* parameters_order */ {"tool_call_id", "tool_name", "parameters"} + ); + return p.content(p.until("<|START_ACTION|>")) + p.optional(tool_call) + p.end(); + }); + + std::string input = + "Let me search for that." + "<|START_ACTION|>[" + R"({"tool_call_id": 0, "tool_name": "get_current_weather", "parameters": {"location": "NYC", "unit": "celsius"}})" + "]<|END_ACTION|>"; + + common_peg_parse_context ctx(input, false); + auto result = parser.parse(ctx); + + if (!t.assert_true("parse success", result.success())) { + return; + } + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + t.assert_equal("tool calls count", 1u, msg.tool_calls.size()); + if (!msg.tool_calls.empty()) { + t.assert_equal("tool name", "get_current_weather", msg.tool_calls[0].name); + t.assert_equal("tool id", "0", msg.tool_calls[0].id); + } + t.assert_true("content present", msg.content.find("Let me search") != std::string::npos); +} + +// Test 3: Function-as-Key Format +// {"get_current_weather": {"id": "call-0001", "args": {"location": "NYC"}}} +static void test_standard_json_tools_function_key(testing & t) { + json tools = build_test_tools(); + + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + auto tool_call = p.standard_json_tools( + "[", "]", tools, + /* parallel */ true, + /* force */ false, + /* name_key */ "", // Name is the key itself + /* args_key */ "args", + /* array_wrapped */ false, + /* function_is_key */ true, + /* call_id_key */ "id", + /* gen_call_id_key */ "", + /* parameters_order */ {} + ); + return p.content(p.until("")) + p.optional(tool_call) + p.end(); + }); + + std::string input = + "I'll call the weather function." + "[" + R"({"get_current_weather": {"id": "call-0001", "args": {"location": "NYC", "unit": "celsius"}}})" + "]"; + + common_peg_parse_context ctx(input, false); + auto result = parser.parse(ctx); + + if (!t.assert_true("parse success", result.success())) { + return; + } + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + t.assert_equal("tool calls count", 1u, msg.tool_calls.size()); + if (!msg.tool_calls.empty()) { + t.assert_equal("tool name", "get_current_weather", msg.tool_calls[0].name); + t.assert_equal("tool id", "call-0001", msg.tool_calls[0].id); + } + t.assert_true("content present", msg.content.find("I'll call the weather") != std::string::npos); +} + +// ============================================================================ +// normalize_quotes_to_json Tests +// ============================================================================ + +// Copy of the function for isolated testing (original is static in chat-peg-parser.cpp) +static std::string normalize_quotes_to_json(const std::string & input) { + std::string result; + result.reserve(input.size() + 16); + + bool in_single_quoted = false; + bool in_double_quoted = false; + + for (size_t i = 0; i < input.size(); ++i) { + char c = input[i]; + + if (c == '\\' && i + 1 < input.size()) { + char next = input[i + 1]; + + if (in_single_quoted) { + if (next == '\'') { + result += '\''; + ++i; + continue; + } + if (next == '"') { + result += "\\\""; + ++i; + continue; + } + result += c; + result += next; + ++i; + continue; + } + + if (in_double_quoted) { + result += c; + result += next; + ++i; + continue; + } + + result += c; + continue; + } + + if (c == '"') { + if (in_single_quoted) { + result += "\\\""; + } else { + in_double_quoted = !in_double_quoted; + result += c; + } + } else if (c == '\'') { + if (in_double_quoted) { + result += c; + } else if (in_single_quoted) { + in_single_quoted = false; + result += '"'; + } else { + in_single_quoted = true; + result += '"'; + } + } else { + result += c; + } + } + + return result; +} + +static void test_normalize_quotes_to_json(testing & t) { + t.test("basic single to double quotes", [](testing & t) { + std::string input = "{'key': 'value'}"; + std::string expected = "{\"key\": \"value\"}"; + std::string result = normalize_quotes_to_json(input); + t.assert_equal("basic conversion", expected, result); + }); + + t.test("escaped single quote inside single-quoted string", [](testing & t) { + std::string input = "{'code': 'print(\\'hello\\')'}"; + std::string expected = "{\"code\": \"print('hello')\"}"; + std::string result = normalize_quotes_to_json(input); + t.assert_equal("escaped single quote", expected, result); + }); + + t.test("double quote inside single-quoted string", [](testing & t) { + std::string input = "{'msg': 'He said \"hi\"'}"; + std::string expected = "{\"msg\": \"He said \\\"hi\\\"\"}"; + std::string result = normalize_quotes_to_json(input); + t.assert_equal("double quote escaping", expected, result); + }); + + t.test("nested backslash escapes", [](testing & t) { + std::string input = "{'path': 'C:\\\\Users\\\\test'}"; + std::string expected = "{\"path\": \"C:\\\\Users\\\\test\"}"; + std::string result = normalize_quotes_to_json(input); + t.assert_equal("backslash escaping", expected, result); + }); + + t.test("newline escapes", [](testing & t) { + std::string input = "{'text': 'line1\\nline2'}"; + std::string expected = "{\"text\": \"line1\\nline2\"}"; + std::string result = normalize_quotes_to_json(input); + t.assert_equal("newline escaping", expected, result); + }); + + t.test("mixed quotes", [](testing & t) { + std::string input = "{\"already_double\": 'single_value'}"; + std::string expected = "{\"already_double\": \"single_value\"}"; + std::string result = normalize_quotes_to_json(input); + t.assert_equal("mixed quotes", expected, result); + }); + + t.test("embedded quotes - the test case", test_normalize_quotes_with_embedded_quotes); +} + +// Test case that mirrors the Seed-OSS failing test scenario +static void test_normalize_quotes_with_embedded_quotes(testing & t) { + // This is similar to the Seed-OSS template test case + // The input has embedded double quotes like "14" and "bar" inside string values + std::string input = "{'filename': 'foo.cpp', 'oldString': 'def foo(arg = \"14\"):\\n return arg + \"bar\"\\n', 'newString': 'def foo(arg = \"15\"):\\n pass\\n'}"; + + // Expected: Python single quotes -> JSON double quotes, internal double quotes escaped + std::string expected = "{\"filename\": \"foo.cpp\", \"oldString\": \"def foo(arg = \\\"14\\\"):\\n return arg + \\\"bar\\\"\\n\", \"newString\": \"def foo(arg = \\\"15\\\"):\\n pass\\n\"}"; + + std::string result = normalize_quotes_to_json(input); + + t.assert_equal("normalize quotes with embedded double quotes", expected, result); + + // Also verify the result is valid JSON + try { + json parsed = json::parse(result); + t.assert_true("result is valid JSON", true); + t.assert_equal("filename field", "foo.cpp", parsed["filename"].get()); + t.assert_true("oldString contains embedded quotes", + parsed["oldString"].get().find("\"14\"") != std::string::npos); + t.assert_true("newString contains embedded quotes", + parsed["newString"].get().find("\"15\"") != std::string::npos); + } catch (const std::exception & e) { + t.assert_true(std::string("JSON parse failed: ") + e.what(), false); + } +} + +// ============================================================================ +// TAG_WITH_TAGGED Argument Parsing Tests +// ============================================================================ + +// Build tools definition for edit function +static json build_edit_tool() { + json parameters_schema = json::object(); + parameters_schema["type"] = "object"; + parameters_schema["properties"] = json::object(); + parameters_schema["properties"]["filename"] = json::object({ + {"type", "string"}, + {"description", "Path of file to edit"} + }); + parameters_schema["properties"]["oldString"] = json::object({ + {"type", "string"}, + {"description", "String to replace"} + }); + parameters_schema["properties"]["newString"] = json::object({ + {"type", "string"}, + {"description", "New (replacement) value"} + }); + parameters_schema["required"] = json::array({"filename", "oldString", "newString"}); + + return json::array({ + json{ + {"type", "function"}, + {"function", json{ + {"name", "edit"}, + {"description", "Edit a file"}, + {"parameters", parameters_schema} + }} + } + }); +} + +// Test that reproduces the Seed-OSS template issue with embedded quotes +static void test_tagged_args_with_embedded_quotes(testing & t) { + json tools = build_edit_tool(); + + // Build a parser for TAG_WITH_TAGGED format like Seed-OSS/Nemotron + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + // Build tool choice for the edit function + auto tool_choice = p.choice(); + + for (const auto & tool_def : tools) { + if (!tool_def.contains("function")) { continue; } + const auto & function = tool_def.at("function"); + std::string name = function.at("name"); + const auto & params = function.at("parameters"); + + if (!params.contains("properties") || !params.at("properties").is_object()) { continue; } + + const auto & properties = params.at("properties"); + + // Build argument parsers + std::vector arg_parsers; + for (const auto & [param_name, param_schema] : properties.items()) { + auto arg = p.tool_arg( + p.tool_arg_open(p.literal("")) + + p.space() + + p.tool_arg_string_value(p.until("")) + + p.space() + + p.tool_arg_close(p.literal("")) + ); + arg_parsers.push_back(p.optional(p.rule("arg-" + param_name, arg))); + } + + // Build arg sequence with space() between + common_peg_parser args_seq = p.eps(); + for (size_t i = 0; i < arg_parsers.size(); i++) { + if (i > 0) { + args_seq = args_seq + p.space(); + } + args_seq = args_seq + arg_parsers[i]; + } + + auto func_parser = + p.tool_open(p.literal("")) + + p.space() + args_seq + p.space() + + p.tool_close(p.literal("")); + + tool_choice |= p.rule("tool-" + name, p.tool(func_parser)); + } + + auto tool_section = + p.literal("") + p.space() + + tool_choice + + p.space() + p.literal(""); + + return p.content(p.until("")) + p.optional(tool_section) + p.end(); + }); + + // The exact input from the failing test + std::string input = + "\n" + "\n" + "\n" + "foo.cpp\n" + "\n" + "" + "def foo(arg = \"14\"):\n" + " return arg + \"bar\"\n" + "\n" + "\n" + "" + "def foo(arg = \"15\"):\n" + " pass\n" + "\n" + "\n" + "\n" + ""; + + common_peg_parse_context ctx(input, false); + auto result = parser.parse(ctx); + + if (!t.assert_true("parse success", result.success())) { + return; + } + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + t.assert_equal("tool calls count", 1u, msg.tool_calls.size()); + + if (!msg.tool_calls.empty()) { + t.assert_equal("tool name", "edit", msg.tool_calls[0].name); + + // Parse the arguments as JSON to verify they're valid + std::string args = msg.tool_calls[0].arguments; + + try { + json parsed = json::parse(args); + t.assert_true("arguments is valid JSON", true); + + // Verify each field has proper value + t.assert_equal("filename", "foo.cpp", parsed.value("filename", "")); + + std::string oldString = parsed.value("oldString", ""); + t.assert_true("oldString contains embedded quotes", + oldString.find("\"14\"") != std::string::npos); + t.assert_true("oldString contains bar with quotes", + oldString.find("\"bar\"") != std::string::npos); + + std::string newString = parsed.value("newString", ""); + t.assert_true("newString contains embedded quotes", + newString.find("\"15\"") != std::string::npos); + + } catch (const std::exception & e) { + t.assert_true(std::string("arguments should be valid JSON: ") + e.what(), false); + } + } +} + diff --git a/tests/test-chat-parser.cpp b/tests/test-chat-parser.cpp deleted file mode 100644 index 6f44a2b421..0000000000 --- a/tests/test-chat-parser.cpp +++ /dev/null @@ -1,617 +0,0 @@ -// Tests chat handling, including grammar generation and parsing for tool calling, for various templates. -// -// Also acts as a CLI to generate a Markdown summary of the formats of Jinja templates, -// e.g. given Minja (http://github.com/google/minja) checked out in parent dir: -// -// cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null -// -#include -#include -#include - -#include "chat-parser.h" -#include "common.h" -#include "log.h" -#include "regex-partial.h" - -template -static void assert_equals(const std::string_view label, const T & expected, const T & actual) { - if (expected != actual) { - std::cerr << label << std::endl; - std::cerr << "Expected: " << expected << std::endl; - std::cerr << "Actual: " << actual << std::endl; - std::cerr << std::flush; - throw std::runtime_error("Test failed"); - } -} - -template -static void assert_equals(const T & expected, const T & actual) { - assert_equals("", expected, actual); -} -static void assert_equals(const char * expected, const std::string & actual) { - return assert_equals(expected, actual); -} - -static void assert_throws(const std::function & fn, const std::string & expected_exception_pattern = "") { - try { - fn(); - } catch (const std::exception & e) { - if (expected_exception_pattern.empty()) { - return; - } - std::regex expected_exception_regex(expected_exception_pattern); - std::string actual_message = e.what(); - if (std::regex_search(actual_message, expected_exception_regex)) { - return; - } - throw std::runtime_error("Exception doesn't match expected pattern: " + actual_message + " (pattern: " + expected_exception_pattern + ")"); - throw std::runtime_error("Exception of unexpected type: " + std::string(e.what())); - } - throw std::runtime_error("Exception was expected but not thrown"); -} - -static void test_reasoning() { - //common_log_set_verbosity_thold(LOG_DEFAULT_DEBUG); - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - params.reasoning_format = COMMON_REASONING_FORMAT_NONE; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - common_chat_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, params); - assert_equals(false, builder.try_parse_reasoning("", "")); - assert_equals("CogitoErgo sum", builder.consume_rest()); - } - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - common_chat_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, params); - assert_equals(true, builder.try_parse_reasoning("", "")); - assert_equals(std::string("Cogito"), builder.result().reasoning_content); - assert_equals("Ergo sum", builder.consume_rest()); - } - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - params.reasoning_format = COMMON_REASONING_FORMAT_NONE; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - common_chat_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, params); - assert_equals(false, builder.try_parse_reasoning("", "")); - assert_equals("CogitoErgo sum", builder.consume_rest()); - } - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = true; - common_chat_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, params); - assert_equals(true, builder.try_parse_reasoning("", "")); - assert_equals(std::string("Cogito"), builder.result().reasoning_content); - assert_equals("Ergo sum", builder.consume_rest()); - } - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = true; - params.thinking_forced_open = true; - common_chat_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, params); - assert_equals(true, builder.try_parse_reasoning("", "")); - assert_equals("Cogito", builder.result().content); - assert_equals("Ergo sum", builder.consume_rest()); - } - { - const std::string variant("content_only_inline_think"); - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - params.parse_tool_calls = false; - const std::string input = "PenseBonjour"; - auto msg = common_chat_parse(input, false, params); - assert_equals(variant, std::string("Pense"), msg.reasoning_content); - assert_equals(variant, std::string("Bonjour"), msg.content); - } - { - const std::string variant("llama_3_inline_think"); - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_LLAMA_3_X; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - params.parse_tool_calls = false; - const std::string input = "PlanRéponse"; - auto msg = common_chat_parse(input, false, params); - assert_equals(variant, std::string("Plan"), msg.reasoning_content); - assert_equals(variant, std::string("Réponse"), msg.content); - } - // Test DeepSeek V3.1 parsing - reasoning content followed by "" and then regular content - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = true; - params.parse_tool_calls = true; - const std::string variant("deepseek_v3_1_reasoning_format_deepseek"); - common_chat_msg_parser builder("REASONINGok", /* is_partial= */ false, params); - assert_equals(variant, true, builder.try_parse_reasoning("", "")); - assert_equals(variant, std::string("REASONING"), builder.result().reasoning_content); - assert_equals(variant, std::string("ok"), builder.consume_rest()); - } - // Test DeepSeek V3.1 parsing - reasoning_format none - reasoning content followed by "" and then regular content - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_NONE; - params.reasoning_in_content = false; - params.thinking_forced_open = true; - params.parse_tool_calls = true; - const std::string variant("deepseek_v3_1_reasoning_format_none"); - const std::string input = "REASONINGok"; - auto msg = common_chat_parse(input, false, params); - assert_equals(variant, std::string("REASONINGok"), msg.content); - assert_equals(variant, std::string(""), msg.reasoning_content); - } -} - -static void test_regex() { - auto test_throws = [](const std::string & input, const std::string & regex, const std::string & expected_exception_pattern = "") { - common_chat_msg_parser builder(input, /* is_partial= */ false, {}); - assert_throws([&]() { builder.consume_regex(common_regex(regex)); }, expected_exception_pattern); - }; - - test_throws("Hello, world!", "abc", "^abc$"); - test_throws("Hello, world!", "e", "^e$"); - - { - common_chat_msg_parser builder("Hello, world!", /* is_partial= */ false, {}); - builder.consume_regex(common_regex("Hello")); - assert_equals(", world!", builder.consume_rest()); - } - - { - // When in non partial mode, we can say whether the regex was consumed or not. - common_chat_msg_parser builder("Hello,", /* is_partial= */ false, {}); - assert_equals(false, builder.try_consume_regex(common_regex("Hello, world!")).has_value()); - } - { - common_chat_msg_parser builder("Hello,", /* is_partial= */ false, {}); - auto res = builder.try_consume_regex(common_regex("H(el)l(?:o, world!)?")); - assert_equals(true, res.has_value()); - // Verify captures - assert_equals(2, res->groups.size()); - assert_equals("Hell", builder.str(res->groups[0])); - assert_equals("el", builder.str(res->groups[1])); - // Verify position is after the match - assert_equals(4, builder.pos()); - assert_equals("o,", builder.consume_rest()); - } - { - // But in partial mode, we have a partial final match / can't decide, so we throw a partial exception. - common_chat_msg_parser builder("Hello,", /* is_partial= */ true, {}); - assert_throws([&]() { - builder.try_consume_regex(common_regex("Hello, world!")); - }, "^Hello, world!$"); - } - - // Now regardless of the mode, we can tell these aren't a match. - for (const auto is_partial : {false, true}) { - common_chat_msg_parser builder("Hello,", is_partial, {}); - assert_equals(false, builder.try_consume_regex(common_regex("a(b|c)(d|e)f")).has_value()); - } - for (const auto is_partial : {false, true}) { - common_chat_msg_parser builder("Hello,", is_partial, {}); - assert_equals(false, builder.try_consume_literal("Oh")); - } -} - -const std::vector barely_healable_jsons = { - "{", - "{\"", - "{\"\\", - "{\"n", - "{\"name\"", - "{\"name\":", - "{\"name\":\"", - "{\"name\":\"\\", - "{\"name\":\"python", - "{\"name\":\"python\\", - "{\",", - "{\":", - "{\"[", - "{\"]", - "{\"{", - "{\"}", - "{\"1", - "{\"name\":\",", - "{\"name\":\":", - "{\"name\":\"[", - "{\"name\":\"]", - "{\"name\":\"{", - "{\"name\":\"}", - "{\"name\":\"1", -}; - -static void test(const std::string & input, bool is_partial, const std::vector> & args_paths, const std::vector> & content_paths, const std::string & expected) { - common_chat_msg_parser builder(input, is_partial, {}); - auto js = builder.try_consume_json_with_dumped_args(args_paths, content_paths); - assert_equals(true, js.has_value()); - assert_equals(is_partial, js->is_partial); - assert_equals(expected, args_paths.size() == 1 && args_paths[0].empty() ? js->value.get() : js->value.dump()); -} - -static void test_deepseek_v3_1_tool_calls() { - //common_log_set_verbosity_thold(LOG_DEFAULT_DEBUG); - // variant: happy path for when it works as the model card says it should - const std::string variant("simple"); - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - params.parse_tool_calls = true; - const std::string input = "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>"; - auto msg = common_chat_parse(input, false, params); - assert_equals(variant, 1, msg.tool_calls.size()); - assert_equals(variant, std::string("get_time"), msg.tool_calls[0].name); - // JSON arguments are dumped without spaces - assert_equals(variant, std::string("{\"city\":\"Tokyo\"}"), msg.tool_calls[0].arguments); - assert_equals(variant, std::string(""), msg.content); - assert_equals(variant, std::string(""), msg.reasoning_content); - - // variant: simple + thinking open - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = true; - params.parse_tool_calls = true; - const std::string variant("simple_thinking"); - const std::string in = "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>"; - auto m = common_chat_parse(in, false, params); - assert_equals(variant, 1, m.tool_calls.size()); - assert_equals(variant, std::string("get_time"), m.tool_calls[0].name); - assert_equals(variant, std::string("{\"city\":\"Tokyo\"}"), m.tool_calls[0].arguments); - assert_equals(variant, std::string(""), m.content); - assert_equals(variant, std::string("REASONING"), m.reasoning_content); - } - // variant: simple + multiple tool calls - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - params.parse_tool_calls = true; - const std::string variant("simple_multiple_tool_calls"); - const std::string in = "CONTENT<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Paris\"}<｜tool▁call▁end｜><｜tool▁call▁begin｜>get_weather<｜tool▁sep｜>{\"city\": \"Paris\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>"; - auto m = common_chat_parse(in, false, params); - assert_equals(variant, 2, m.tool_calls.size()); - assert_equals(variant, std::string("get_time"), m.tool_calls[0].name); - assert_equals(variant, std::string("{\"city\":\"Paris\"}"), m.tool_calls[0].arguments); - assert_equals(variant, std::string("get_weather"), m.tool_calls[1].name); - assert_equals(variant, std::string("{\"city\":\"Paris\"}"), m.tool_calls[1].arguments); - assert_equals(variant, std::string("CONTENT"), m.content); - assert_equals(variant, std::string(""), m.reasoning_content); - } - - - // variant: thinking forced open + tool call in reasoning content - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = true; - params.parse_tool_calls = true; - const std::string variant("thinking_forced_open_tool_call_in_reasoning"); - const std::string in = "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time2<｜tool▁sep｜>{\"city\": \"Tokyo2\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>"; - auto m = common_chat_parse(in, false, params); - assert_equals(variant, 1, m.tool_calls.size()); - assert_equals(variant, std::string("get_time"), m.tool_calls[0].name); - assert_equals(variant, std::string("{\"city\":\"Tokyo\"}"), m.tool_calls[0].arguments); - assert_equals(variant, std::string(""), m.content); - assert_equals(variant, std::string("REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time2<｜tool▁sep｜>{\"city\": \"Tokyo2\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>REASONING"), m.reasoning_content); - } - - // variant: thinking forced open + tool call in reasoning content + no closing think + not partial - // This is a bit of a fine tuning issue on the model's part IMO. It really should not be attempting - // to make tool calls in reasoning content according to the model card, but it does sometimes, so - // add the reasoning content as regular content and parse the tool calls. - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = true; - params.parse_tool_calls = true; - const std::string variant("thinking_forced_open_tool_call_in_reasoning_no_closing_think_not_partial"); - const std::string in = "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>"; - auto m = common_chat_parse(in, false, params); - assert_equals(variant, std::string("REASONING"), m.content); - assert_equals(variant, std::string(""), m.reasoning_content); - assert_equals(variant, 1, m.tool_calls.size()); - assert_equals(variant, std::string("get_time"), m.tool_calls[0].name); - assert_equals(variant, std::string("{\"city\":\"Tokyo\"}"), m.tool_calls[0].arguments); - } - - // variant: thinking forced open + tool call in reasoning content + no closing think + partial - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = true; - params.parse_tool_calls = true; - const std::string variant("thinking_forced_open_tool_call_in_reasoning_no_closing_think_partial"); - const std::string in = "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>"; - auto m = common_chat_parse(in, /* is_partial= */ true, params); - assert_equals(variant, std::string("REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>"), m.reasoning_content); - assert_equals(variant, std::string(""), m.content); - assert_equals(variant, 0, m.tool_calls.size()); - } - - // variant: thinking not forced open + reasoning + regular content + no tool calls - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = true; - params.parse_tool_calls = true; - const std::string variant("thinking_forced_open_reasoning_regular_content_no_tool_calls"); - const std::string in = "REASONINGCONTENT"; - auto m = common_chat_parse(in, false, params); - assert_equals(variant, 0, m.tool_calls.size()); - assert_equals(variant, std::string("CONTENT"), m.content); - assert_equals(variant, std::string("REASONING"), m.reasoning_content); - } - // variant: thinking not forced open + missing reasoning + no tool calls - { - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_DEEPSEEK_V3_1; - params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - params.parse_tool_calls = true; - const std::string variant("thinking_not_forced_open_missing_reasoning_no_tool_calls"); - const std::string in = "CONTENT"; - auto m = common_chat_parse(in, false, params); - assert_equals(variant, 0, m.tool_calls.size()); - assert_equals(variant, std::string("CONTENT"), m.content); - assert_equals(variant, std::string(""), m.reasoning_content); - } -} - -static void test_with_args(const std::string & input, const std::string & expected, bool parse_as_partial = true, bool is_partial = true) { - common_chat_msg_parser builder(input, parse_as_partial, {}); - auto js = builder.try_consume_json_with_dumped_args({{"args"}}, {}); - assert_equals(true, js.has_value()); - assert_equals(is_partial, js->is_partial); - assert_equals(expected, js->value.dump()); -} - -static void test_json_with_dumped_args_no_args() { - // Normal JSON, nothing to heal, nothing to dump - test("{\"name\": \"python\"}", false, {}, {}, "{\"name\":\"python\"}"); - // Full json is args - test("{\"name\": \"python\"}", false, {{}}, {}, "{\"name\":\"python\"}"); - - // If the arguments are further down, don't heal partial content. - for (const auto & src : barely_healable_jsons) { - test(src, true, {{"arguments"}}, {}, "{}"); - } - // But heal content that isn't partial. - test("{\"name\": \"python\"", true, {{"arguments"}}, {}, "{\"name\":\"python\"}"); -} - -static void test_json_with_dumped_args() { - - // Partial content. - test("{\"content\": \"t", true, {}, {{"content"}}, "{\"content\":\"t\"}"); - test("{\"content\": \"", true, {}, {{"content"}}, "{\"content\":\"\"}"); - test("{\"content\": ", true, {}, {{"content"}}, "{}"); - - // If the entire JSON is the arguments, healing it them dumping it produces the same output as the input (just reformatted). - test("{\"name\": \"python", true, {{}}, {}, "{\"name\":\"python"); - for (const auto & src : barely_healable_jsons) { - test(src, true, {{}}, {}, src); - } - - // Full JSON w/ args - for (auto parse_as_partial : {true, false}) { - test_with_args( - R"({"name": "python", "args": {"arg1": 1}})", - R"({"name":"python","args":"{\"arg1\":1}"})", - parse_as_partial, - /* is_partial= */ false - ); - } - - // Partial JSON w/ partial args - test_with_args( - R"({"foo": "bar", "args": {")", - R"({"foo":"bar","args":"{\""})" - ); - // Partial args broken in object key - test_with_args( - R"({"foo": "bar", "args": {"ar)", - R"({"foo":"bar","args":"{\"ar"})" - ); - // Partial args broken after object key - test_with_args( - R"({"foo": "bar", "args": {"arg1")", - R"({"foo":"bar","args":"{\"arg1\""})" - ); - // Partial args broken before object value - test_with_args( - R"({"foo": "bar", "args": {"arg1":)", - R"({"foo":"bar","args":"{\"arg1\":"})" - ); - // Partial args broken before object value (space) - test_with_args( - R"({"foo": "bar", "args": {"arg1": )", - R"({"foo":"bar","args":"{\"arg1\":"})" - ); - // Partial args broken in object value that may not be complete (int) - test_with_args( - R"({"foo": "bar", "args": {"arg1": 1)", - R"({"foo":"bar","args":"{\"arg1\":"})" - ); - // Partial args broken in object value that is complete (int) - test_with_args( - R"({"foo": "bar", "args": {"arg1": 1 )", - R"({"foo":"bar","args":"{\"arg1\":1"})" - ); - // Partial args broken in object value that is incomplete (string) - test_with_args( - R"({"foo": "bar", "args": {"arg1": ")", - R"({"foo":"bar","args":"{\"arg1\":\""})" - ); - // Partial args broken in object value that is complete (string) - test_with_args( - R"({"foo": "bar", "args": {"arg1": "1")", - R"({"foo":"bar","args":"{\"arg1\":\"1\""})" - ); - // Partial args broken on array opening - test_with_args( - R"({"foo": "bar", "args": [)", - R"({"foo":"bar","args":"["})" - ); - // Partial args broken on array value that is incomplete (int) - test_with_args( - R"({"foo": "bar", "args": [1)", - R"({"foo":"bar","args":"["})" - ); - // Partial args broken on array value that is complete (int) - test_with_args( - R"({"foo": "bar", "args": [1 )", - R"({"foo":"bar","args":"[1"})" - ); - // Partial args broken on array value that is complete (string) - test_with_args( - R"({"foo": "bar", "args": ["1")", - R"({"foo":"bar","args":"[\"1\""})" - ); - // Partial args broken after array value - test_with_args( - R"({"foo": "bar", "args": [1,)", - R"({"foo":"bar","args":"[1,"})" - ); - // Partial args broken on nested array - test_with_args( - R"({"foo": "bar", "args": {"arg1": [)", - R"({"foo":"bar","args":"{\"arg1\":["})" - ); - - // Unicode tests - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\u)", - R"({"foo":"bar","args":"{\"arg1\":\"\\u"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\u0)", - R"({"foo":"bar","args":"{\"arg1\":\"\\u0"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\u00)", - R"({"foo":"bar","args":"{\"arg1\":\"\\u00"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\u000)", - R"({"foo":"bar","args":"{\"arg1\":\"\\u000"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\u0000)", - R"({"foo":"bar","args":"{\"arg1\":\"\\u0000"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud8)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud8"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud80)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud80"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud800)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud800"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud800\)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud800\u)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\u"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud800\ud)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\ud"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud800\udc)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\udc"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud800\udc0)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\udc0"})" - ); - test_with_args( - R"({"foo": "bar", "args": {"arg1": "\ud800\udc00)", - R"({"foo":"bar","args":"{\"arg1\":\"\\ud800\\udc00"})" - ); -} - -static void test_positions() { - { - common_chat_msg_parser builder("Hello, world!", /* is_partial= */ false, {}); - assert_equals(0, builder.pos()); - assert_throws([&]() { builder.move_to(100); }); - assert_equals(0, builder.pos()); - assert_throws([&]() { builder.move_back(1); }); - assert_equals(0, builder.pos()); - - builder.move_to(8); - assert_equals(8, builder.pos()); - builder.move_back(1); - assert_equals(7, builder.pos()); - assert_equals("world!", builder.consume_rest()); - - builder.move_to(0); - assert_equals(0, builder.pos()); - - assert_throws([&]() { builder.finish(); }); - assert_equals(0, builder.pos()); - - builder.move_to(builder.input().size()); - builder.finish(); - } - { - common_chat_msg_parser builder("Hello, world!", /* is_partial= */ true, {}); - - builder.move_to(builder.input().size()); - assert_equals(builder.input().size(), builder.pos()); - builder.finish(); - } -} - -int main() { - test_positions(); - test_json_with_dumped_args_no_args(); - test_json_with_dumped_args(); - test_reasoning(); - test_regex(); - test_deepseek_v3_1_tool_calls(); - std::cout << "All tests passed!\n"; - return 0; -} diff --git a/tests/test-chat-peg-parser.cpp b/tests/test-chat-peg-parser.cpp index f767c73c27..7626ca12db 100644 --- a/tests/test-chat-peg-parser.cpp +++ b/tests/test-chat-peg-parser.cpp @@ -1,8 +1,3 @@ -#include -#include -#include - -#include "chat-parser.h" #include "chat-peg-parser.h" #include "chat.h" #include "common.h" @@ -10,6 +5,11 @@ #include "peg-parser.h" #include "testing.h" #include "peg-parser/simple-tokenize.h" + +#include +#include +#include + #include "nlohmann/json.hpp" using json = nlohmann::ordered_json; @@ -17,9 +17,12 @@ using json = nlohmann::ordered_json; static json create_tools(); static void test_example_native(testing & t); static void test_example_qwen3_coder(testing & t); +static void test_example_qwen3_non_coder(testing & t); static void test_command7_parser_compare(testing & t); +static void test_prefix_tool_names(testing & t); +static void test_tagged_peg_parser(testing & t); -int main(int argc, char *argv[]) { +int main(int argc, char * argv[]) { testing t(std::cout); if (argc >= 2) { t.set_filter(argv[1]); @@ -32,7 +35,10 @@ int main(int argc, char *argv[]) { t.test("native", test_example_native); t.test("qwen3 coder", test_example_qwen3_coder); + t.test("qwen3 non-coder", test_example_qwen3_non_coder); t.test("comparison", test_command7_parser_compare); + t.test("prefix tool names", test_prefix_tool_names); + t.test("tagged peg parser", test_tagged_peg_parser); return t.summary(); } @@ -41,87 +47,75 @@ static json create_tools() { json tools = json::array(); json tool_weather = { - {"type", "function"}, - {"function", { - {"name", "get_current_weather"}, - {"description", "Get the current weather in a given location"}, - {"parameters", { - {"type", "object"}, - {"properties", { - {"location", { - {"type", "string"}, - {"description", "The city and state, e.g. San Francisco, CA"} - }}, - {"unit", { - {"type", "string"}, - {"enum", {"celsius", "fahrenheit"}}, - {"description", "The temperature unit to use. Infer this from the users location."} - }} - }}, - {"required", {"location", "unit"}}, - }}, - }} + { "type", "function" }, + { "function", + { + { "name", "get_current_weather" }, + { "description", "Get the current weather in a given location" }, + { "parameters", + { + { "type", "object" }, + { "properties", + { { "location", + { { "type", "string" }, { "description", "The city and state, e.g. San Francisco, CA" } } }, + { "unit", + { { "type", "string" }, + { "enum", { "celsius", "fahrenheit" } }, + { "description", + "The temperature unit to use. Infer this from the users location." } } } } }, + { "required", { "location", "unit" } }, + } }, + } } }; tools.push_back(tool_weather); json tool_forecast = { - {"type", "function"}, - {"function", { - {"name", "get_forecast"}, - {"description", "Get the weather forecast for a given location"}, - {"parameters", { - {"type", "object"}, - {"properties", { - {"location", { - {"type", "string"}, - {"description", "The city and state, e.g. San Francisco, CA"} - }}, - {"unit", { - {"type", "string"}, - {"enum", {"celsius", "fahrenheit"}}, - {"description", "The temperature unit to use. Infer this from the users location."} - }}, - {"days", { - {"type", "integer"}, - {"description", "Number of days to forecast (1-10)"}, - {"minimum", 1}, - {"maximum", 10} - }} - }}, - {"required", {"location", "unit"}}, - }}, - }} + { "type", "function" }, + { "function", + { + { "name", "get_forecast" }, + { "description", "Get the weather forecast for a given location" }, + { "parameters", + { + { "type", "object" }, + { "properties", + { { "location", + { { "type", "string" }, { "description", "The city and state, e.g. San Francisco, CA" } } }, + { "unit", + { { "type", "string" }, + { "enum", { "celsius", "fahrenheit" } }, + { "description", "The temperature unit to use. Infer this from the users location." } } }, + { "days", + { { "type", "integer" }, + { "description", "Number of days to forecast (1-10)" }, + { "minimum", 1 }, + { "maximum", 10 } } } } }, + { "required", { "location", "unit" } }, + } }, + } } }; tools.push_back(tool_forecast); json tool_search = { - {"type", "function"}, - {"function", { - {"name", "search_knowledge_base"}, - {"description", "Search the internal technical documentation knowledge base."}, - {"parameters", { - {"type", "object"}, - {"properties", { - {"query", { - {"type", "string"}, - {"description", "The search query string."} - }}, - {"max_results", { - {"type", "integer"}, - {"description", "The maximum number of results to return."}, - {"default", 5} - }}, - {"category", { - {"type", "string"}, - {"enum", {"api", "troubleshooting", "billing", "general"}}, - {"description", "Filter search by specific category."} - }} - }}, - {"required", {"query", "category"}}, - {"additionalProperties", false} - }}, - {"strict", true} - }} + { "type", "function" }, + { "function", + { { "name", "search_knowledge_base" }, + { "description", "Search the internal technical documentation knowledge base." }, + { "parameters", + { { "type", "object" }, + { "properties", + { { "query", { { "type", "string" }, { "description", "The search query string." } } }, + { "max_results", + { { "type", "integer" }, + { "description", "The maximum number of results to return." }, + { "default", 5 } } }, + { "category", + { { "type", "string" }, + { "enum", { "api", "troubleshooting", "billing", "general" } }, + { "description", "Filter search by specific category." } } } } }, + { "required", { "query", "category" } }, + { "additionalProperties", false } } }, + { "strict", true } } } }; tools.push_back(tool_search); @@ -131,39 +125,39 @@ static json create_tools() { struct tool_argument { std::string name; std::string type; - bool is_required; - json schema; + bool is_required; + json schema; }; struct tool_definition { - std::string name; + std::string name; std::vector arguments; - json schema; + json schema; }; // Test fictitious model output that emits arguments as JSON. static void test_example_native(testing & t) { struct test_case { // Parameters - std::string name; - json tools; + std::string name; + json tools; common_chat_tool_choice tool_choice; common_reasoning_format reasoning_format; - json json_schema; - bool parallel_tool_calls; - bool thinking_forced_open; - std::string input; + json json_schema; + bool parallel_tool_calls; + bool thinking_forced_open; + std::string input; // Expect - std::string expect_reasoning; - std::string expect_content; + std::string expect_reasoning; + std::string expect_content; std::vector expect_tool_calls; }; auto build_parser = [](const test_case & tc) { - return build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) { + return build_chat_peg_parser([&](common_chat_peg_builder & p) { auto reasoning_in_content = (tc.reasoning_format == COMMON_REASONING_FORMAT_NONE); - auto reasoning = p.eps(); + auto reasoning = p.eps(); if (tc.thinking_forced_open) { // If thinking is forced open, expect a closing tag reasoning = p.reasoning(p.until("")) + "" + p.space(); @@ -174,231 +168,188 @@ static void test_example_native(testing & t) { // tool calling parser if (tc.tools.is_array() && !tc.tools.empty()) { - auto tools = p.choice(); - for (const auto & tool : tc.tools) { - const auto & function = tool.at("function"); - std::string name = function.at("name"); - const auto & schema = function.at("parameters"); + auto tool_call = + p.standard_json_tools("[", "]", tc.tools, tc.parallel_tool_calls, + tc.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED); - auto tool_name = p.json_member("name", "\"" + p.tool_name(p.literal(name)) + "\""); - auto tool_args = p.json_member("arguments", p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema))); - - tools |= p.rule("tool-" + name, p.tool_open(p.literal("{")) << tool_name << "," << tool_args << "}"); - }; - - auto parallel_calls = p.eps(); - if (tc.parallel_tool_calls) { - parallel_calls = p.zero_or_more("," << tools); - } - - auto tool_call = p.trigger_rule("tool-call", - p.sequence({ - p.literal("["), - tools, - parallel_calls, - p.literal("]") - }) - ); - - return p.sequence({ - (reasoning_in_content ? p.eps() : reasoning), - p.content(p.until("")), - p.optional(p.space() + tool_call), - p.space(), - p.end() - }); + return p.sequence({ (reasoning_in_content ? p.eps() : reasoning), p.content(p.until("")), + p.optional(p.space() + tool_call), p.space(), p.end() }); } // response_format parser if (tc.json_schema.is_object() && !tc.json_schema.empty()) { - return p.sequence({ - (reasoning_in_content ? p.eps() : reasoning), - p.content(p.schema(p.json(), "response-output", tc.json_schema)), - p.space(), - p.end() - }); + return p.sequence({ (reasoning_in_content ? p.eps() : reasoning), + p.content(p.schema(p.json(), "response-output", tc.json_schema)), p.space(), + p.end() }); } // Content-only parser - return p.sequence({ - (reasoning_in_content ? p.eps() : reasoning), - p.content(p.rest()), - p.end() - }); + return p.sequence({ (reasoning_in_content ? p.eps() : reasoning), p.content(p.rest()), p.end() }); }); }; std::vector test_cases = std::vector{ { - /* .name = */ "content with thinking_forced_open = false", - /* .tools = */ {}, - /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .json_schema = */ {}, - /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ false, - /* .input = */ ( - "The user said hello, I must say hello back\nHello" - ), - /* .expect_reasoning = */ "The user said hello, I must say hello back", - /* .expect_content = */ "Hello", - /* .expect_tool_calls = */ {}, - }, + /* .name = */ "content with thinking_forced_open = false", + /* .tools = */ {}, + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, + /* .json_schema = */ {}, + /* .parallel_tool_calls = */ false, + /* .thinking_forced_open = */ false, + /* .input = */ ("The user said hello, I must say hello back\nHello"), + /* .expect_reasoning = */ "The user said hello, I must say hello back", + /* .expect_content = */ "Hello", + /* .expect_tool_calls = */ {}, + }, { - /* .name = */ "content with thinking_forced_open = false and no reasoning", - /* .tools = */ {}, - /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .json_schema = */ {}, - /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ false, - /* .input = */ ( - "Hello" - ), - /* .expect_reasoning = */ "", - /* .expect_content = */ "Hello", - /* .expect_tool_calls = */ {}, - }, + /* .name = */ "content with thinking_forced_open = false and no reasoning", + /* .tools = */ {}, + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, + /* .json_schema = */ {}, + /* .parallel_tool_calls = */ false, + /* .thinking_forced_open = */ false, + /* .input = */ ("Hello"), + /* .expect_reasoning = */ "", + /* .expect_content = */ "Hello", + /* .expect_tool_calls = */ {}, + }, { - /* .name = */ "content with thinking_forced_open = false and reasoning_format = none", - /* .tools = */ {}, - /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, - /* .json_schema = */ {}, - /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, - /* .input = */ ( - "The user said hello, I must say hello back\nHello" - ), - /* .expect_reasoning = */ "", - /* .expect_content = */ "The user said hello, I must say hello back\nHello", - /* .expect_tool_calls = */ {}, - }, + /* .name = */ "content with thinking_forced_open = false and reasoning_format = none", + /* .tools = */ {}, + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, + /* .json_schema = */ {}, + /* .parallel_tool_calls = */ false, + /* .thinking_forced_open = */ true, + /* .input = */ ("The user said hello, I must say hello back\nHello"), + /* .expect_reasoning = */ "", + /* .expect_content = */ "The user said hello, I must say hello back\nHello", + /* .expect_tool_calls = */ {}, + }, { - /* .name = */ "content with thinking_forced_open = true", - /* .tools = */ {}, - /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .json_schema = */ {}, - /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, - /* .input = */ ( - "The user said hello, I must say hello back\nHello" - ), - /* .expect_reasoning = */ "The user said hello, I must say hello back", - /* .expect_content = */ "Hello", - /* .expect_tool_calls = */ {}, - }, + /* .name = */ "content with thinking_forced_open = true", + /* .tools = */ {}, + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, + /* .json_schema = */ {}, + /* .parallel_tool_calls = */ false, + /* .thinking_forced_open = */ true, + /* .input = */ ("The user said hello, I must say hello back\nHello"), + /* .expect_reasoning = */ "The user said hello, I must say hello back", + /* .expect_content = */ "Hello", + /* .expect_tool_calls = */ {}, + }, { - /* .name = */ "content with thinking_forced_open = true and reasoning_format = none", - /* .tools = */ {}, - /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, - /* .json_schema = */ {}, - /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, - /* .input = */ ( - "The user said hello, I must say hello back\nHello" - ), - /* .expect_reasoning = */ "", - /* .expect_content = */ "The user said hello, I must say hello back\nHello", - /* .expect_tool_calls = */ {}, - }, + /* .name = */ "content with thinking_forced_open = true and reasoning_format = none", + /* .tools = */ {}, + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, + /* .json_schema = */ {}, + /* .parallel_tool_calls = */ false, + /* .thinking_forced_open = */ true, + /* .input = */ ("The user said hello, I must say hello back\nHello"), + /* .expect_reasoning = */ "", + /* .expect_content = */ "The user said hello, I must say hello back\nHello", + /* .expect_tool_calls = */ {}, + }, { - /* .name = */ "tools with tool_choice = auto and no parallel_tool_calls", - /* .tools = */ create_tools(), - /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_AUTO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .json_schema = */ {}, - /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, - /* .input = */ ( - "I must get the weather in New York\n" - "[" - R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})" - "]" - ), - /* .expect_reasoning = */ "I must get the weather in New York", - /* .expect_content = */ "", - /* .expect_tool_calls = */ {{ + /* .name = */ "tools with tool_choice = auto and no parallel_tool_calls", + /* .tools = */ create_tools(), + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_AUTO, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, + /* .json_schema = */ {}, + /* .parallel_tool_calls = */ false, + /* .thinking_forced_open = */ true, + /* .input = */ + ("I must get the weather in New York\n" + "[" + R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})" + "]"), + /* .expect_reasoning = */ "I must get the weather in New York", + /* .expect_content = */ "", + /* .expect_tool_calls = */ + { { /* .name = */ "get_current_weather", /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit"})", /* .id = */ "", - }}, - }, + } }, + }, { - /* .name = */ "tools with tool_choice = auto and parallel_tool_calls", - /* .tools = */ create_tools(), - /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_AUTO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .json_schema = */ {}, - /* .parallel_tool_calls = */ true, - /* .thinking_forced_open = */ true, - /* .input = */ ( - "I must get the weather in New York and San Francisco and a 3 day forecast of each.\nLet me search that for you." - "[" - R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})" - ", " - R"({"name": "get_current_weather", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit"}})" - ", " - R"({"name": "get_forecast", "arguments": {"location": "New York City, NY", "unit": "fahrenheit", "days": 3}})" - ", " - R"({"name": "get_forecast", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3}})" - "]" - ), - /* .expect_reasoning = */ "I must get the weather in New York and San Francisco and a 3 day forecast of each.", - /* .expect_content = */ "Let me search that for you.", - /* .expect_tool_calls = */ {{ - /* .name = */ "get_current_weather", - /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit"})", - /* .id = */ "", - }, { - /* .name = */ "get_current_weather", - /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit"})", - /* .id = */ "", - }, { - /* .name = */ "get_forecast", - /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit", "days": 3})", - /* .id = */ "", - }, { - /* .name = */ "get_forecast", - /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3})", - /* .id = */ "", - }}, - }, + /* .name = */ "tools with tool_choice = auto and parallel_tool_calls", + /* .tools = */ create_tools(), + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_AUTO, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, + /* .json_schema = */ {}, + /* .parallel_tool_calls = */ true, + /* .thinking_forced_open = */ true, + /* .input = */ + ("I must get the weather in New York and San Francisco and a 3 day forecast of each.\nLet me " + "search that for you." + "[" + R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})" + ", " + R"({"name": "get_current_weather", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit"}})" + ", " + R"({"name": "get_forecast", "arguments": {"location": "New York City, NY", "unit": "fahrenheit", "days": 3}})" + ", " + R"({"name": "get_forecast", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3}})" + "]"), + /* .expect_reasoning = */ + "I must get the weather in New York and San Francisco and a 3 day forecast of each.", /* .expect_content = */ "Let me search that for you.", + /* .expect_tool_calls = */ + { { + /* .name = */ "get_current_weather", + /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit"})", + /* .id = */ "", + }, + { + /* .name = */ "get_current_weather", + /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit"})", + /* .id = */ "", + }, + { + /* .name = */ "get_forecast", + /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit", "days": 3})", + /* .id = */ "", + }, + { + /* .name = */ "get_forecast", + /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3})", + /* .id = */ "", + } }, + }, { - /* .name = */ "response_format with thinking_forced_open = true", - /* .tools = */ {}, - /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .json_schema = */ { - {"type", "object"}, - {"properties", { - {"invoice_number", {{"type", "string"}}}, - {"amount", {{"type", "number"}}}, - {"due_date", {{"type", "string"}}} - }}, - {"required", {"invoice_number", "amount", "due_date"}} - }, - /* .parallel_tool_calls = */ false, - /* .thinking_forced_open = */ true, - /* .input = */ ( - "I must produce the invoice in the requested format\n" - R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})" - ), - /* .expect_reasoning = */ "I must produce the invoice in the requested format", - /* .expect_content = */ R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})", - /* .expect_tool_calls = */ {}, - }, + /* .name = */ "response_format with thinking_forced_open = true", + /* .tools = */ {}, + /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE, + /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, + /* .json_schema = */ + { { "type", "object" }, + { "properties", + { { "invoice_number", { { "type", "string" } } }, + { "amount", { { "type", "number" } } }, + { "due_date", { { "type", "string" } } } } }, + { "required", { "invoice_number", "amount", "due_date" } } }, + /* .parallel_tool_calls = */ false, + /* .thinking_forced_open = */ true, + /* .input = */ + ("I must produce the invoice in the requested format\n" + R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})"), + /* .expect_reasoning = */ "I must produce the invoice in the requested format", + /* .expect_content = */ + R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})", /* .expect_tool_calls = */ {}, + }, }; for (const auto & tc : test_cases) { t.test(tc.name, [&](testing & t) { - auto parser = build_parser(tc); - auto lazy = !tc.tools.empty() && tc.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; + auto parser = build_parser(tc); + auto lazy = !tc.tools.empty() && tc.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED; auto grammar = build_grammar([&](const common_grammar_builder & builder) { - for (auto const & def : tc.tools) { - auto function = def.at("function"); + for (const auto & def : tc.tools) { + auto function = def.at("function"); auto parameters = function.at("parameters"); builder.resolve_refs(parameters); }; @@ -406,17 +357,17 @@ static void test_example_native(testing & t) { }); t.log("Grammar:"); - for (auto const & line : string_split(grammar, "\n")) { + for (const auto & line : string_split(grammar, "\n")) { t.log(line); } common_peg_parse_context ctx(tc.input, false); - auto result = parser.parse(ctx); + auto result = parser.parse(ctx); t.assert_true("success", result.success()); common_chat_msg msg; - auto mapper = common_chat_peg_native_mapper(msg); + auto mapper = common_chat_peg_mapper(msg); mapper.from_ast(ctx.ast, result); t.assert_equal("content equal", tc.expect_content, msg.content); @@ -431,16 +382,16 @@ static void test_example_native(testing & t) { } static void test_example_qwen3_coder(testing & t) { - auto tools = create_tools(); - auto parser = build_chat_peg_constructed_parser([&](common_chat_peg_constructed_builder & p) { + auto tools = create_tools(); + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { auto content = p.rule("content", p.content(p.until(""))); std::vector tool_parsers; - for (auto const & def : tools) { - auto function = def.at("function"); - std::string name = function.at("name"); - auto parameters = function.at("parameters"); - auto properties = parameters.at("properties"); + for (const auto & def : tools) { + auto function = def.at("function"); + std::string name = function.at("name"); + auto parameters = function.at("parameters"); + auto properties = parameters.at("properties"); std::set required_properties; if (function.contains("required")) { @@ -450,59 +401,36 @@ static void test_example_qwen3_coder(testing & t) { std::vector arg_parsers; for (const auto & [param_name, param_schema] : properties.items()) { bool is_required = required_properties.find(param_name) != required_properties.end(); - auto type = param_schema.value("type", "object"); + auto type = param_schema.value("type", "object"); - auto arg = p.tool_arg(p.sequence({ - p.tool_arg_open(""), - (type == "string" ? - p.tool_arg_string_value( - p.schema( - p.until_one_of({ - "\n\n" - }), - "tool-" + name + "-arg-" + param_name + "-schema", - param_schema, - true - ) - ) : p.tool_arg_json_value( - p.schema( - p.json(), - "tool-" + name + "-arg-" + param_name + "-schema", - param_schema - ) - ) - ), - p.tool_arg_close( - "\n" + - p.peek(p.literal("")) - ) - })); + auto arg = p.tool_arg( + p.sequence({ p.tool_arg_open(""), + (type == "string" ? + p.tool_arg_string_value(p.schema( + p.until_one_of({ "\n\n" }), + "tool-" + name + "-arg-" + param_name + "-schema", param_schema, true)) : + p.tool_arg_json_value(p.schema( + p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema))), + p.tool_arg_close("\n" + + p.peek(p.literal(""))) })); - arg_parsers.push_back(is_required ? - p.rule("tool-" + name + "-arg-" + param_name, arg) : - p.optional(p.rule("tool-" + name + "-arg-" + param_name, arg))); + arg_parsers.push_back(is_required ? p.rule("tool-" + name + "-arg-" + param_name, arg) : + p.optional(p.rule("tool-" + name + "-arg-" + param_name, arg))); } - tool_parsers.push_back(p.rule("tool-" + name, - p.tool_open("") - << p.sequence(arg_parsers) - << p.tool_close(p.literal("")) - )); + tool_parsers.push_back(p.rule("tool-" + name, p.tool_open("") + << p.sequence(arg_parsers) + << p.tool_close(p.literal("")))); }; - auto tool_call = p.trigger_rule("tool-call", - "" - << p.choice(tool_parsers) - << "" - ); + auto tool_call = p.trigger_rule("tool-call", "" << p.choice(tool_parsers) << ""); return content + p.zero_or_more(p.space() + tool_call) + p.end(); }); auto grammar = build_grammar([&](const common_grammar_builder & builder) { - for (auto const & def : tools) { - auto function = def.at("function"); + for (const auto & def : tools) { + auto function = def.at("function"); auto parameters = function.at("parameters"); builder.resolve_refs(parameters); }; @@ -510,11 +438,11 @@ static void test_example_qwen3_coder(testing & t) { }); t.log("Grammar:"); - for (auto const & line : string_split(grammar, "\n")) { + for (const auto & line : string_split(grammar, "\n")) { t.log(line); } - t.test("incremental parsing", [&](testing &t) { + t.test("incremental parsing", [&](testing & t) { std::string input = "Let me search the knowledge base for cat pictures." "\n" @@ -538,7 +466,7 @@ static void test_example_qwen3_coder(testing & t) { } common_chat_msg msg; - auto mapper = common_chat_peg_constructed_mapper(msg); + auto mapper = common_chat_peg_mapper(msg); mapper.from_ast(ctx.ast, result); //t.log("Input: " + input); @@ -554,7 +482,105 @@ static void test_example_qwen3_coder(testing & t) { try { // This shouldn't emit any runtime errors auto diffs = common_chat_msg_diff::compute_diffs(prev, msg); - } catch(const std::exception & e) { + } catch (const std::exception & e) { + t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end)); + t.assert_true(std::string("failed with ") + e.what(), false); + } + + prev = msg; + } + }); +} + +static void test_example_qwen3_non_coder(testing & t) { + auto tools = create_tools(); + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + // tool calling parser using standard JSON format + auto tool_call = p.standard_json_tools("", "", tools, true, false); + + return p.sequence({ p.content(p.until("")), p.optional(p.space() + tool_call), p.end() }); + }); + + auto grammar = build_grammar([&](const common_grammar_builder & builder) { + for (const auto & def : tools) { + auto function = def.at("function"); + auto parameters = function.at("parameters"); + builder.resolve_refs(parameters); + }; + parser.build_grammar(builder); + }); + + t.log("Grammar:"); + for (const auto & line : string_split(grammar, "\n")) { + t.log(line); + } + + t.test("tool call parsing", [&](testing & t) { + std::string input = + "I need to get the weather.\n" + "" + "{\"name\": \"get_current_weather\", \"arguments\": {\"location\": \"New York City, NY\", \"unit\": " + "\"fahrenheit\"}}" + ""; + + common_peg_parse_context ctx(input, false); + auto result = parser.parse(ctx); + + t.assert_true("success", result.success()); + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + t.assert_equal("content", "I need to get the weather.\n", msg.content); + t.assert_equal("reasoning", "", msg.reasoning_content); + t.assert_equal("tool calls count", 1u, msg.tool_calls.size()); + if (!msg.tool_calls.empty()) { + t.assert_equal("tool name", "get_current_weather", msg.tool_calls[0].name); + t.assert_equal("tool args", "{\"location\": \"New York City, NY\", \"unit\": \"fahrenheit\"}", + msg.tool_calls[0].arguments); + } + }); + + t.test("incremental parsing", [&](testing & t) { + std::string input = + "I need to get the weather.\n" + "" + "{\"name\": \"get_current_weather\", \"arguments\": {\"location\": \"New York City, NY\", \"unit\": " + "\"fahrenheit\"}}" + ""; + + std::vector tokens = simple_tokenize(input); + + common_chat_msg prev; + for (auto it = tokens.begin(); it != tokens.end(); it++) { + std::string in = std::accumulate(tokens.begin(), it + 1, std::string()); + + common_peg_parse_context ctx(in, it + 1 < tokens.end()); + + auto result = parser.parse(ctx); + if (!t.assert_equal("not fail", false, result.fail())) { + t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end)); + } + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + //t.log("Input: " + input); + t.log("==========================================="); + t.log("Iteration " + std::to_string(in.size())); + t.log("Reasoning: " + msg.reasoning_content); + t.log("Content : " + msg.content); + for (const auto & tc : msg.tool_calls) { + t.log("Tool name: " + tc.name); + t.log("Tool args: " + tc.arguments); + } + + try { + // This shouldn't emit any runtime errors + auto diffs = common_chat_msg_diff::compute_diffs(prev, msg); + } catch (const std::exception & e) { t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end)); t.assert_true(std::string("failed with ") + e.what(), false); } @@ -565,38 +591,37 @@ static void test_example_qwen3_coder(testing & t) { } void test_command7_parser_compare(testing & t) { - auto parser = build_chat_peg_native_parser([](common_chat_peg_native_builder & p) { - auto thinking = p.reasoning_block( - "<|START_THINKING|>" << p.reasoning(p.until("<|END_THINKING|>")) << "<|END_THINKING|>"); + auto parser = build_chat_peg_parser([](common_chat_peg_builder & p) { + auto thinking = + p.reasoning_block("<|START_THINKING|>" << p.reasoning(p.until("<|END_THINKING|>")) << "<|END_THINKING|>"); auto response = "<|START_RESPONSE|>" << p.content(p.until("<|END_RESPONSE|>")) << "<|END_RESPONSE|>"; auto tool_call_id = p.atomic("\"tool_call_id\"" << (":" << ("\"" + p.tool_id(p.json_string_content()) + "\""))); - auto tool_call_name = p.atomic("\"tool_name\"" << (":" << ("\"" + p.tool_name(p.json_string_content()) + "\""))); + auto tool_call_name = + p.atomic("\"tool_name\"" << (":" << ("\"" + p.tool_name(p.json_string_content()) + "\""))); auto tool_call_args = "\"parameters\"" << (":" << p.tool_args(p.json())); auto tool_call_fields = p.rule("tool-call-fields", tool_call_id | tool_call_name | tool_call_args); - auto tool_call = p.rule("tool-call", p.tool( - p.tool_open(p.literal("{")) - << tool_call_fields - << p.zero_or_more( p.literal(",") << tool_call_fields) - << p.tool_close(p.literal("}")) - )); + auto tool_call = + p.rule("tool-call", p.tool(p.tool_open(p.literal("{")) + << tool_call_fields << p.zero_or_more(p.literal(",") << tool_call_fields) + << p.tool_close(p.literal("}")))); - auto tool_calls = p.rule("tool-calls", - "<|START_ACTION|>" - << ("[" << tool_call << p.zero_or_more(p.literal(",") << tool_call) << "]") - << "<|END_ACTION|>"); + auto tool_calls = p.rule( + "tool-calls", "<|START_ACTION|>" << ("[" << tool_call << p.zero_or_more(p.literal(",") << tool_call) << "]") + << "<|END_ACTION|>"); return p.optional(thinking) << (tool_calls | response) + p.end(); }); - auto test_current = [&](const common_peg_arena & p, const std::string & input, bool is_partial, bool print_results) { + auto test_current = [&](const common_peg_arena & p, const std::string & input, bool is_partial, + bool print_results) { common_peg_parse_context ctx(input, is_partial); - auto result = p.parse(ctx); + auto result = p.parse(ctx); common_chat_msg msg; - auto mapper = common_chat_peg_native_mapper(msg); + auto mapper = common_chat_peg_mapper(msg); mapper.from_ast(ctx.ast, result); if (print_results) { @@ -614,79 +639,19 @@ void test_command7_parser_compare(testing & t) { } }; - auto test_legacy = [&](const std::string & input, bool need_more_input, bool print_results) { - // Original common_chat_combinator_parser taken from chat.cpp - common_chat_parser_params params; - params.format = COMMON_CHAT_FORMAT_GENERIC; - params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - params.reasoning_in_content = false; - params.thinking_forced_open = false; - common_chat_msg_parser builder( - input, - /* .is_partial = */ need_more_input, - params - ); + std::string reasoning = + "To plan an effective trip to Japan that includes both historical sites and modern attractions within a " + "budget of $4000 for a two-week stay, we need to:\n\n" + "1. Identify key historical sites and modern attractions in Japan.\n" + "2. Find affordable accommodation options that provide a balance between comfort and cost.\n" + "3. Determine the best modes of transportation for getting around Japan.\n" + "4. Create a day-by-day itinerary that ensures the user gets to see a variety of attractions without " + "overspending.\n" + "5. Provide a detailed cost breakdown that includes accommodation, transportation, meals, and entry fees " + "to attractions."; - builder.try_parse_reasoning("<|START_THINKING|>", "<|END_THINKING|>"); - - static const common_regex start_action_regex("<\\|START_ACTION\\|>"); - static const common_regex end_action_regex("<\\|END_ACTION\\|>"); - static const common_regex start_response_regex("<\\|START_RESPONSE\\|>"); - static const common_regex end_response_regex("<\\|END_RESPONSE\\|>"); - - if (auto res = builder.try_find_regex(start_action_regex)) { - // If we didn't extract thoughts, prelude includes them. - auto tool_calls = builder.consume_json_with_dumped_args({ { "parameters" } }); - for (const auto & tool_call : tool_calls.value) { - std::string name = tool_call.contains("tool_name") ? tool_call.at("tool_name") : ""; - std::string id = tool_call.contains("tool_call_id") ? tool_call.at("tool_call_id") : ""; - std::string arguments = tool_call.contains("parameters") ? tool_call.at("parameters") : ""; - if (!builder.add_tool_call(name, id, arguments) || tool_calls.is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - } - if (tool_calls.is_partial) { - throw common_chat_msg_partial_exception("incomplete tool call"); - } - builder.consume_regex(end_action_regex); - } else if (auto res = builder.try_find_regex(start_response_regex)) { - if (!builder.try_find_regex(end_response_regex)) { - builder.add_content(builder.consume_rest()); - throw common_chat_msg_partial_exception(end_response_regex.str()); - } - } else { - builder.add_content(builder.consume_rest()); - } - - if (print_results) { - std::cout << "== Parsed (legacy) ==\n"; - std::cout << "=== Reasoning ===\n"; - std::cout << builder.result().reasoning_content << "\n"; - std::cout << "\n\n=== Content ===\n"; - std::cout << builder.result().content << "\n"; - std::cout << "\n\n=== Tool Calls ===\n"; - for (const auto & tc : builder.result().tool_calls) { - std::cout << "id: " << tc.id << "\n"; - std::cout << "name: " << tc.name << "\n"; - std::cout << "args: " << tc.arguments << "\n"; - } - } - }; - - std::string reasoning = "To plan an effective trip to Japan that includes both historical sites and modern attractions within a " - "budget of $4000 for a two-week stay, we need to:\n\n" - "1. Identify key historical sites and modern attractions in Japan.\n" - "2. Find affordable accommodation options that provide a balance between comfort and cost.\n" - "3. Determine the best modes of transportation for getting around Japan.\n" - "4. Create a day-by-day itinerary that ensures the user gets to see a variety of attractions without " - "overspending.\n" - "5. Provide a detailed cost breakdown that includes accommodation, transportation, meals, and entry fees " - "to attractions."; - - std::vector> tool_calls = {{ - "call_0", - "plan_trip", - nlohmann::json::parse(R"({ + std::vector> tool_calls = { + { "call_0", "plan_trip", nlohmann::json::parse(R"({ "destination": "Japan", "duration": 14, "budget": 4000, @@ -694,8 +659,8 @@ void test_command7_parser_compare(testing & t) { "accommodation_preferences": "affordable", "transportation_preferences": "efficient", "meal_preferences": "local cuisine" - })") - }}; + })") } + }; std::vector tokens; @@ -712,10 +677,10 @@ void test_command7_parser_compare(testing & t) { auto json = nlohmann::json::array(); for (const auto & tc : tool_calls) { - auto tc_json = nlohmann::json::object(); + auto tc_json = nlohmann::json::object(); tc_json["tool_call_id"] = std::get<0>(tc); - tc_json["tool_name"] = std::get<1>(tc); - tc_json["parameters"] = std::get<2>(tc); + tc_json["tool_name"] = std::get<1>(tc); + tc_json["parameters"] = std::get<2>(tc); json.push_back(tc_json); } @@ -727,42 +692,284 @@ void test_command7_parser_compare(testing & t) { std::string input = std::accumulate(tokens.begin(), tokens.end(), std::string()); - // Run tests - t.test("legacy_parse", [&](testing & /* t */) { - test_legacy(input, false, false); + t.test("current_parse", [&](testing & /* t */) { test_current(parser, input, false, false); }); + t.bench("current_parse_benchmark complete", [&]() { test_current(parser, input, false, false); }, 100); + t.bench( + "current_parse_benchmark incremental", + [&]() { + std::string in; + for (auto i = 0u; i < tokens.size(); i++) { + in += tokens[i]; + test_current(parser, in, i + 1 < tokens.size(), false); + } + }, + 20); +} + +// Test that tool names that are proper prefixes of other tool names don't cause +// premature matching during incremental parsing. +// For example, "special_function" should not match when parsing "special_function_with_opt". +static void test_prefix_tool_names(testing & t) { + // Create tools where one name is a proper prefix of another + json tools = json::array(); + + json tool_short = { + { "type", "function" }, + { "function", + { + { "name", "special_function" }, + { "description", "A special function" }, + { "parameters", + { + { "type", "object" }, + { "properties", + { + { "arg1", { { "type", "integer" } } }, + } }, + { "required", { "arg1" } }, + } }, + } } + }; + tools.push_back(tool_short); + + json tool_long = { + { "type", "function" }, + { "function", + { + { "name", "special_function_with_opt" }, + { "description", "A special function with optional params" }, + { "parameters", + { + { "type", "object" }, + { "properties", + { + { "arg1", { { "type", "integer" } } }, + { "arg2", { { "type", "integer" } } }, + } }, + { "required", { "arg1" } }, + } }, + } } + }; + tools.push_back(tool_long); + + // Use standard_constructed_tools which had the prefix matching bug + std::map markers = { + { "tool_call_start_marker", "" }, + { "tool_call_end_marker", "" }, + { "function_opener", "" }, + { "function_name_suffix", ">" }, + { "parameter_key_prefix", "" }, + { "parameter_closer", "" }, + }; + + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + auto content = p.rule("content", p.content(p.until(""))); + auto tool_call = p.standard_constructed_tools(markers, tools, false, false); + return content + p.zero_or_more(p.space() + tool_call) + p.end(); }); - t.test("current_parse", [&](testing & /* t */) { - test_current(parser, input, false, false); + // Test parsing the long tool name - this should NOT trigger the short tool name + t.test("parse long tool name", [&](testing & t) { + std::string input = + "Let me call the function." + "" + "" + "42" + "" + ""; + + common_peg_parse_context ctx(input, false); + auto result = parser.parse(ctx); + + t.assert_true("success", result.success()); + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + t.assert_equal("content", "Let me call the function.", msg.content); + t.assert_equal("tool calls count", 1u, msg.tool_calls.size()); + if (!msg.tool_calls.empty()) { + t.assert_equal("tool name", "special_function_with_opt", msg.tool_calls[0].name); + } }); - // Run benchmarks - t.bench("legacy_parse_benchmark complete", [&]() { - test_legacy(input, false, false); - }); + // Test incremental parsing - the key test case + // This ensures that when incrementally parsing "special_function_with_opt", + // we don't prematurely emit "special_function" as a tool call + t.test("incremental parse long tool name", [&](testing & t) { + std::string input = + "Let me call the function." + "" + "" + "42" + "" + ""; - t.bench("legacy_parse_benchmark incremental", [&]() { - std::string in; - for (auto i = 0u; i < tokens.size(); i++) { - in += tokens[i]; + std::vector tokens = simple_tokenize(input); + + common_chat_msg prev; + for (auto it = tokens.begin(); it != tokens.end(); it++) { + std::string in = std::accumulate(tokens.begin(), it + 1, std::string()); + + common_peg_parse_context ctx(in, it + 1 < tokens.end()); + auto result = parser.parse(ctx); + + if (!t.assert_equal("not fail", false, result.fail())) { + t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end)); + return; + } + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + // The critical check: during incremental parsing, we should never + // see "special_function" as the tool name when parsing "special_function_with_opt" + for (const auto & tc : msg.tool_calls) { + if (!t.assert_equal("tool name should not be short prefix", false, + tc.name == "special_function")) { + t.log("Premature tool name match at input: " + in); + return; + } + } try { - test_legacy(in, i + 1 < tokens.size(), false); - } catch (common_chat_msg_partial_exception & /* e */) { - // Do nothing, this is expected + auto diffs = common_chat_msg_diff::compute_diffs(prev, msg); + } catch (const std::exception & e) { + t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end)); + t.assert_true(std::string("diff failed with ") + e.what(), false); + return; } - } - }, 20); - t.bench("current_parse_benchmark complete", [&]() { - test_current(parser, input, false, false); - }, 100); - - t.bench("current_parse_benchmark incremental", [&]() { - std::string in; - for (auto i = 0u; i < tokens.size(); i++) { - in += tokens[i]; - test_current(parser, in, i + 1 < tokens.size(), false); + prev = msg; } - }, 20); + + // Final check: the complete parse should have the correct tool name + t.assert_equal("final tool calls count", 1u, prev.tool_calls.size()); + if (!prev.tool_calls.empty()) { + t.assert_equal("final tool name", "special_function_with_opt", prev.tool_calls[0].name); + } + }); + + // Test parsing the short tool name still works + t.test("parse short tool name", [&](testing & t) { + std::string input = + "Let me call the function." + "" + "" + "42" + "" + ""; + + common_peg_parse_context ctx(input, false); + auto result = parser.parse(ctx); + + t.assert_true("success", result.success()); + + common_chat_msg msg; + auto mapper = common_chat_peg_mapper(msg); + mapper.from_ast(ctx.ast, result); + + t.assert_equal("content", "Let me call the function.", msg.content); + t.assert_equal("tool calls count", 1u, msg.tool_calls.size()); + if (!msg.tool_calls.empty()) { + t.assert_equal("tool name", "special_function", msg.tool_calls[0].name); + } + }); +} + +static void test_tagged_peg_parser(testing & t) { + t.test("basic tag extraction", [&](testing & t) { + auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) { + return p.tag("greeting", p.until(" ")) + " " + p.tag("name", p.rest()) + p.end(); + }); + + auto result = parser.parse_and_extract("Hello World"); + t.assert_true("success", result.result.success()); + t.assert_equal("greeting tag", "Hello", result.tags.at("greeting")); + t.assert_equal("name tag", "World", result.tags.at("name")); + }); + + t.test("duplicate tags overwrite", [&](testing & t) { + auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) { + return p.tag("item", p.until(",")) + "," + p.tag("item", p.rest()) + p.end(); + }); + + auto result = parser.parse_and_extract("first,second"); + t.assert_true("success", result.result.success()); + t.assert_equal("item tag", "second", result.tags.at("item")); + }); + + t.test("no tags extracted", [&](testing & t) { + auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) { + return p.rest() + p.end(); + }); + + auto result = parser.parse_and_extract("Hello"); + t.assert_true("success", result.result.success()); + t.assert_equal("empty tags", 0u, result.tags.size()); + }); + + t.test("structured extraction", [&](testing & t) { + auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) { + auto header = p.tag("header", p.until("\n")); + auto body = p.tag("body", p.rest()); + return header + "\n" + body + p.end(); + }); + + auto result = parser.parse_and_extract("Title\nBody content here"); + t.assert_true("success", result.result.success()); + t.assert_equal("header", "Title", result.tags.at("header")); + t.assert_equal("body", "Body content here", result.tags.at("body")); + }); + + t.test("partial parse", [&](testing & t) { + auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) { + return p.tag("prefix", p.until(":")) + ":" + p.tag("value", p.rest()) + p.end(); + }); + + auto result = parser.parse_and_extract("key:val", true); + t.assert_true("not fail", !result.result.fail()); + t.assert_equal("prefix tag", "key", result.tags.at("prefix")); + t.assert_equal("value tag", "val", result.tags.at("value")); + }); + + t.test("find in the middle", [&](testing & t) { + auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) { + return p.choice({ p.literal("{"), p.literal(":") }) + p.space() + p.literal("\"") + p.atomic(p.literal("fun_name")); + }); + + std::string tpl = "This is a very long jinja template string. We have tools. We will try to call them now: { \"fun_name\" : { \"arg\" : 1 }"; + auto result = parser.parse_anywhere_and_extract(tpl); + t.assert_true("success", result.result.success()); + }); + + t.test("fail find in the middle", [&](testing & t) { + auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) { + return p.choice({ p.literal("{"), p.literal(":") }) + p.space() + p.literal("\"") + p.atomic(p.literal("fun_name")); + }); + + std::string tpl = "This is a very long jinja template string. We have tools. We will try to call them now: 1"; + auto result = parser.parse_anywhere_and_extract(tpl); + t.assert_true("failure", result.result.fail()); + }); + + t.test("find function tag with name", [&](testing &t) { + std::string haystack = "\n\n\n\nXXXX\n\n\nYYYY\n\n\n\n"; + auto parser = build_tagged_peg_parser([](common_peg_parser_builder & p) { + std::string needle = "foofoo"; + return p.tag("fun_marker", p.choice({ + p.tag("fun_pre", p.literal("<") + p.until_one_of({ ">", needle })) + p.literal(needle) + + p.tag("fun_post", p.negate(p.space() + p.literal("<")) + p.until(">") + p.literal(">")) + p.space(), + p.tag("fun_pre", p.literal("[") + p.until_one_of({ "]", needle })) + p.literal(needle) + + p.tag("fun_post", p.negate(p.space() + p.literal("[") + p.until("]") + p.literal("]")) + p.space()) })); + }); + auto result = parser.parse_anywhere_and_extract(haystack); + t.assert_true("success", result.result.success()); + t.assert_equal("fun_pre should be ''", ">", result.tags["fun_post"]); + }); } diff --git a/tests/test-chat-template.cpp b/tests/test-chat-template.cpp index 27b537a036..6cc132131c 100644 --- a/tests/test-chat-template.cpp +++ b/tests/test-chat-template.cpp @@ -1,4 +1,5 @@ #include +#include #include #include #include @@ -21,17 +22,16 @@ using json = nlohmann::ordered_json; -int main_automated_tests(void); +static int main_automated_tests(void); -void run_multiple(std::string dir_path, bool stop_on_first_failure, json input, bool use_common = false); -void run_single(std::string contents, json input, bool use_common = false, const std::string & output_path = ""); +static void run_multiple(const std::string& dir_path, bool stop_on_first_failure, const json& input, bool use_common = false); +static void run_single(const std::string& contents, json input, bool use_common = false, const std::string & output_path = ""); - - -std::string HELP = R"( +static std::string HELP = R"( Usage: test-chat-template [OPTIONS] PATH_TO_TEMPLATE Options: -h, --help Show this help message and exit. + --with-tools Add a tool and a tool call to the default JSON input --json Path to the JSON input file. --stop-on-first-fail Stop testing on the first failure (default: false). --no-common Use direct Jinja engine instead of common chat templates (default: use common). @@ -41,7 +41,7 @@ If PATH_TO_TEMPLATE is a directory, runs all .jinja files in that directory. If PATH_TO_TEMPLATE is omitted, runs automated tests (default CI mode). )"; -std::string DEFAULT_JSON = R"({ +static std::string DEFAULT_JSON = R"({ "messages": [ { "role": "user", @@ -57,12 +57,65 @@ std::string DEFAULT_JSON = R"({ "add_generation_prompt": true })"; +static std::string DEFAULT_JSON_WITH_TOOLS = R"({ + "messages": [ + { + "role": "user", + "content": "Hello, how are you?" + }, + { + "role": "assistant", + "content": "I am fine, thank you!" + }, + { + "role": "user", + "content": "Call a tool!" + }, + { + "role": "assistant", + "tool_calls": [ + { + "id": "call00001", + "type": "function", + "function": { + "name": "test", + "arguments": { "arg": "hello" } + } + } + ] + } + ], + "tools": [ + { + "type": "function", + "function": { + "name": "test", + "description": "Test", + "parameters": { + "type": "object", + "properties": { + "arg": { + "type": "string" + } + } + }, + "required": ["arg"] + } + } + ], + "bos_token": "", + "eos_token": "", + "add_generation_prompt": true +})"; + + int main(int argc, char ** argv) { std::vector args(argv, argv + argc); std::string tmpl_path; std::string json_path; std::string output_path; + std::string & json_to_use = DEFAULT_JSON; bool stop_on_first_fail = false; bool use_common = true; @@ -70,9 +123,12 @@ int main(int argc, char ** argv) { if (args[i] == "--help" || args[i] == "-h") { std::cout << HELP << "\n"; return 0; - } else if (args[i] == "--json" && i + 1 < args.size()) { + } + if (args[i] == "--json" && i + 1 < args.size()) { json_path = args[i + 1]; i++; + } else if (args[i] == "--with-tools") { + json_to_use = DEFAULT_JSON_WITH_TOOLS; } else if (args[i] == "--stop-on-first-fail") { stop_on_first_fail = true; } else if (args[i] == "--output" && i + 1 < args.size()) { @@ -105,7 +161,7 @@ int main(int argc, char ** argv) { std::istreambuf_iterator()); input_json = json::parse(content); } else { - input_json = json::parse(DEFAULT_JSON); + input_json = json::parse(json_to_use); } std::filesystem::path p(tmpl_path); @@ -125,7 +181,7 @@ int main(int argc, char ** argv) { return 0; } -void run_multiple(std::string dir_path, bool stop_on_first_fail, json input, bool use_common) { +void run_multiple(const std::string& dir_path, bool stop_on_first_fail, const json& input, bool use_common) { std::vector failed_tests; // list all files in models/templates/ and run each @@ -180,7 +236,7 @@ static std::string format_using_common( common_chat_templates_inputs inputs; inputs.use_jinja = true; inputs.messages = messages; - inputs.tools = tools; + inputs.tools = std::move(tools); inputs.add_generation_prompt = true; auto output = common_chat_templates_apply(tmpls.get(), inputs).prompt; output = normalize_newlines(output); @@ -209,7 +265,7 @@ static jinja::value_string format_using_direct_engine( jinja::runtime runtime(ctx); const jinja::value results = runtime.execute(ast); - auto parts = runtime.gather_string_parts(results); + auto parts = jinja::runtime::gather_string_parts(results); std::cout << "\n=== RESULTS ===\n"; for (const auto & part : parts->as_string().parts) { @@ -220,7 +276,7 @@ static jinja::value_string format_using_direct_engine( } -void run_single(std::string contents, json input, bool use_common, const std::string & output_path) { +void run_single(const std::string& contents, json input, bool use_common, const std::string & output_path) { jinja::enable_debug(true); jinja::value_string output_parts; @@ -560,7 +616,7 @@ int main_automated_tests(void) { supported_tmpl.resize(res); res = llama_chat_builtin_templates(supported_tmpl.data(), supported_tmpl.size()); std::cout << "Built-in chat templates:\n"; - for (auto tmpl : supported_tmpl) { + for (const auto *tmpl : supported_tmpl) { std::cout << " " << tmpl << "\n"; } @@ -592,6 +648,7 @@ int main_automated_tests(void) { } std::vector messages; + messages.reserve(conversation.size()); for (const auto & msg : conversation) { messages.push_back(simple_msg(msg.role, msg.content)); } @@ -622,58 +679,6 @@ int main_automated_tests(void) { } } - // TODO: llama_chat_format_single will be deprecated, remove these tests later - - // test llama_chat_format_single for system message - std::cout << "\n\n=== llama_chat_format_single (system message) ===\n\n"; - std::vector chat2; - auto sys_msg = simple_msg("system", "You are a helpful assistant"); - - auto fmt_sys = [&](std::string tmpl_str) { - auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl_str); - auto output = common_chat_format_single(tmpls.get(), chat2, sys_msg, false, /* use_jinja= */ false); - std::cout << "fmt_sys(" << tmpl_str << ") : " << output << "\n"; - std::cout << "-------------------------\n"; - return output; - }; - assert(fmt_sys("chatml") == "<|im_start|>system\nYou are a helpful assistant<|im_end|>\n"); - assert(fmt_sys("mistral-v1") == " [INST] You are a helpful assistant\n\n"); - assert(fmt_sys("mistral-v3") == "[INST] You are a helpful assistant\n\n"); - assert(fmt_sys("mistral-v3-tekken") == "[INST]You are a helpful assistant\n\n"); - assert(fmt_sys("mistral-v7") == "[SYSTEM_PROMPT] You are a helpful assistant[/SYSTEM_PROMPT]"); - assert(fmt_sys("llama2") == "[INST] You are a helpful assistant\n"); - assert(fmt_sys("llama2-sys") == "[INST] <>\nYou are a helpful assistant\n<>\n\n"); - assert(fmt_sys("mistral") == "[INST] You are a helpful assistant\n"); // for old pre-v1 templates - assert(fmt_sys("gemma") == ""); // for gemma, system message is merged with user message - assert(fmt_sys("llama3") == "<|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant<|eot_id|>"); - assert(fmt_sys("gigachat") == "You are a helpful assistant<|message_sep|>"); - - - // test llama_chat_format_single for user message - std::cout << "\n\n=== llama_chat_format_single (user message) ===\n\n"; - chat2.push_back(simple_msg("system", "You are a helpful assistant")); - chat2.push_back(simple_msg("user", "Hello")); - chat2.push_back(simple_msg("assistant", "I am assistant")); - auto new_msg = simple_msg("user", "How are you"); - - auto fmt_single = [&](const std::string & tmpl_str) { - auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl_str.c_str()); - auto output = common_chat_format_single(tmpls.get(), chat2, new_msg, true, /* use_jinja= */ false); - std::cout << "fmt_single(" << tmpl_str << ") : " << output << "\n"; - std::cout << "-------------------------\n"; - return output; - }; - assert(fmt_single("chatml") == "\n<|im_start|>user\nHow are you<|im_end|>\n<|im_start|>assistant\n"); - assert(fmt_single("mistral-v1") == " [INST] How are you [/INST]"); - assert(fmt_single("mistral-v3") == "[INST] How are you[/INST]"); - assert(fmt_single("mistral-v3-tekken") == "[INST]How are you[/INST]"); - assert(fmt_single("mistral-v7") == "[INST] How are you[/INST]"); - assert(fmt_single("llama2") == "[INST] How are you [/INST]"); - assert(fmt_single("mistral") == "[INST] How are you [/INST]"); // for old pre-v1 templates - assert(fmt_single("gemma") == "\nuser\nHow are you\nmodel\n"); - assert(fmt_single("llama3") == "<|start_header_id|>user<|end_header_id|>\n\nHow are you<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"); - // assert(fmt_single("gigachat") == "user<|role_sep|>How are you<|message_sep|>available functions<|role_sep|>[]<|message_sep|>assistant<|role_sep|>"); - std::cout << "\nOK: All tests passed successfully.\n"; return 0; diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index 46aec8395f..fab7a3780c 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -5,18 +5,22 @@ // // cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null // +#include "../src/llama-grammar.h" +#include "../src/unicode.h" +#include "chat-auto-parser.h" #include "chat.h" - +#include "common.h" +#include "ggml.h" #include "log.h" -#include "../src/unicode.h" -#include "../src/llama-grammar.h" - -#include - +#include +#include #include -#include #include +#include +#include +#include +#include #include using json = nlohmann::ordered_json; @@ -33,6 +37,7 @@ static std::ostream & operator<<(std::ostream & os, const common_chat_msg_diff & os << "}"; return os; } + // operator<< for vector: static std::ostream & operator<<(std::ostream & os, const std::vector & diffs) { os << "[\n"; @@ -42,6 +47,7 @@ static std::ostream & operator<<(std::ostream & os, const std::vector -bool equals(const common_chat_msg & expected, const common_chat_msg & actual) { +template <> bool equals(const common_chat_msg & expected, const common_chat_msg & actual) { return normalize(expected) == normalize(actual); } template static void assert_equals(const T & expected, const T & actual) { if (!equals(expected, actual)) { - std::cerr << "Expected:```\n" << expected << "\n```" << std::endl; - std::cerr << "Actual:```\n" << actual << "\n```" << std::endl; - std::cerr << std::flush; + std::ostringstream oss_expected; + oss_expected << expected; + std::ostringstream oss_actual; + oss_actual << actual; + LOG_ERR("Expected: %s\n", oss_expected.str().c_str()); + LOG_ERR("Actual: %s\n", oss_actual.str().c_str()); + common_log_flush(common_log_main()); throw std::runtime_error("Test failed"); } } static std::string read_file(const std::string & path) { - std::cerr << "# Reading: " << path << '\n' << std::flush; std::ifstream fs(path, std::ios_base::binary); if (!fs.is_open()) { fs = std::ifstream("../" + path, std::ios_base::binary); @@ -118,6 +125,207 @@ static std::unique_ptr build_grammar(const std::string & grammar_ llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0)); } +// Helper to format a code point as a readable string +static std::string format_codepoint(uint32_t cp) { + if (cp >= 32 && cp < 127) { + return std::string("'") + static_cast(cp) + "'"; + } else if (cp == '\n') { + return "'\\n'"; + } else if (cp == '\r') { + return "'\\r'"; + } else if (cp == '\t') { + return "'\\t'"; + } else { + return "U+" + std::to_string(cp); + } +} + +// Helper to format expected element from grammar stack +static std::string format_expected_element(const llama_grammar_rules & /* rules*/, const llama_grammar_element * elem) { + if (!elem) { + return ""; + } + + switch (elem->type) { + case LLAMA_GRETYPE_END: + return ""; + case LLAMA_GRETYPE_ALT: + return ""; + case LLAMA_GRETYPE_RULE_REF: + { + // Find rule name - just show rule ID for now + return "value) + ">"; + } + case LLAMA_GRETYPE_CHAR: + { + std::string result; + const llama_grammar_element * pos = elem; + bool first = true; + + do { + if (!first) { + result += " | "; + } + first = false; + + if (pos[1].type == LLAMA_GRETYPE_CHAR_RNG_UPPER) { + // Range like [a-z] + result += "[" + format_codepoint(pos->value) + "-" + format_codepoint(pos[1].value) + "]"; + pos += 2; + } else { + result += format_codepoint(pos->value); + pos += 1; + } + } while (pos->type == LLAMA_GRETYPE_CHAR_ALT); + + return result; + } + case LLAMA_GRETYPE_CHAR_NOT: + { + std::string result = "[^"; + const llama_grammar_element * pos = elem; + bool first = true; + + do { + if (!first) { + result += " "; + } + first = false; + + if (pos[1].type == LLAMA_GRETYPE_CHAR_RNG_UPPER) { + result += format_codepoint(pos->value) + "-" + format_codepoint(pos[1].value); + pos += 2; + } else { + result += format_codepoint(pos->value); + pos += 1; + } + } while (pos->type == LLAMA_GRETYPE_CHAR_ALT); + + return result + "]"; + } + case LLAMA_GRETYPE_CHAR_ANY: + return ""; + case LLAMA_GRETYPE_TOKEN: + return "value) + ">"; + case LLAMA_GRETYPE_TOKEN_NOT: + return "value) + ">"; + default: + return ""; + } +} + +// Get description of what the grammar expects at current position +static std::string get_expected_description(const llama_grammar_rules & rules, const llama_grammar_stacks & stacks) { + if (stacks.empty()) { + return ""; + } + + std::string result; + std::set seen; + + for (const auto & stack : stacks) { + if (stack.empty()) { + if (seen.insert("").second) { + if (!result.empty()) { + result += " OR "; + } + result += ""; + } + continue; + } + + const llama_grammar_element * elem = stack.back(); + std::string desc = format_expected_element(rules, elem); + if (seen.insert(desc).second) { + if (!result.empty()) { + result += " OR "; + } + result += desc; + } + } + + return result; +} + +// Result of a detailed grammar match attempt +struct grammar_match_result { + bool success = false; // Did the string fully match the grammar? + size_t matched_bytes = 0; // Bytes successfully matched before failure + size_t matched_codepoints = 0; // Codepoints successfully matched before failure + size_t total_bytes = 0; // Total bytes in input + size_t total_codepoints = 0; // Total codepoints in input + std::string matched_prefix; // The portion that was successfully matched + std::string failing_char; // The character that caused failure (if any) + std::string expected_description; // What the grammar expected at failure point + bool incomplete = false; // True if matched all input but grammar expects more +}; + +// Detailed version of match_string that returns failure information +static grammar_match_result match_string_detailed(const std::string & input, llama_grammar * grammar) { + grammar_match_result result; + result.total_bytes = input.size(); + + const auto cpts = unicode_cpts_from_utf8(input); + result.total_codepoints = cpts.size(); + + auto & stacks_cur = llama_grammar_get_stacks(grammar); + const auto & rules = llama_grammar_get_rules(grammar); + + size_t byte_pos = 0; + + for (size_t i = 0; i < cpts.size(); i++) { + const auto & cpt = cpts[i]; + + // Get expected before accepting (for error reporting) + std::string expected_before = get_expected_description(rules, stacks_cur); + + llama_grammar_accept(grammar, cpt); + + // Calculate byte position for this codepoint + size_t cpt_bytes = 0; + if (cpt < 0x80) { + cpt_bytes = 1; + } else if (cpt < 0x800) { + cpt_bytes = 2; + } else if (cpt < 0x10000) { + cpt_bytes = 3; + } else { + cpt_bytes = 4; + } + + if (stacks_cur.empty()) { + // Grammar failed to match at this point + result.matched_bytes = byte_pos; + result.matched_codepoints = i; + result.matched_prefix = input.substr(0, byte_pos); + result.failing_char = format_codepoint(cpt); + result.expected_description = expected_before; + result.incomplete = false; + return result; + } + + byte_pos += cpt_bytes; + } + + // All input matched - check if grammar is complete + result.matched_bytes = input.size(); + result.matched_codepoints = cpts.size(); + result.matched_prefix = input; + + if (std::any_of(stacks_cur.begin(), stacks_cur.end(), [](const auto & stack) { return stack.empty(); })) { + // An empty stack means that the grammar has been completed + result.success = true; + result.incomplete = false; + } else { + // Grammar expects more input + result.success = false; + result.incomplete = true; + result.expected_description = get_expected_description(rules, stacks_cur); + } + + return result; +} + // TODO: extract to common helper (copied from test-grammar-integration.cpp) static bool match_string(const std::string & input, llama_grammar * grammar) { const auto cpts = unicode_cpts_from_utf8(input); @@ -146,11 +354,13 @@ static std::string renormalize_json(const std::string & json_str) { auto json_obj = json::parse(json_str); return json_obj.dump(); } catch (const std::exception & e) { - std::cerr << "Failed to parse JSON: " << e.what() << '\n'; - return json_str; + return ""; // ignore parial JSON contents for comparison purposes } } -static void assert_msg_equals(const common_chat_msg & expected, const common_chat_msg & actual, bool ignore_whitespace_differences = false) { + +static void assert_msg_equals(const common_chat_msg & expected, + const common_chat_msg & actual, + bool ignore_whitespace_differences = false) { assert_equals(expected.role, actual.role); if (ignore_whitespace_differences) { assert_equals(string_strip(expected.content), string_strip(actual.content)); @@ -183,7 +393,7 @@ static void assert_msg_equals(const common_chat_msg & expected, const common_cha } } -common_chat_tool special_function_tool { +static common_chat_tool special_function_tool{ /* .name = */ "special_function", /* .description = */ "I'm special", /* .parameters = */ R"({ @@ -197,7 +407,7 @@ common_chat_tool special_function_tool { "required": ["arg1"] })", }; -common_chat_tool special_function_tool_with_optional_param { +static common_chat_tool special_function_tool_with_optional_param{ /* .name = */ "special_function_with_opt", /* .description = */ "I'm special but have optional stuff", /* .parameters = */ R"({ @@ -215,7 +425,15 @@ common_chat_tool special_function_tool_with_optional_param { "required": ["arg1"] })", }; -common_chat_tool python_tool { +static common_chat_tool empty_args_tool{ + /* .name = */ "empty_args", + /* .description = */ "A tool that takes no arguments", + /* .parameters = */ R"({ + "type": "object", + "properties": {} + })", +}; +static common_chat_tool python_tool{ /* .name = */ "python", /* .description = */ "an ipython interpreter", /* .parameters = */ R"({ @@ -229,7 +447,53 @@ common_chat_tool python_tool { "required": ["code"] })", }; -common_chat_tool todo_list_tool { + +static common_chat_tool html_tool{ + /* .name = */ "html", + /* .description = */ "an html validator", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "markup": { + "type": "string", + "description": "HTML markup to validate." + } + }, + "required": ["markup"] + })", +}; + +static common_chat_tool get_time_tool{ + /* .name = */ "get_time", + /* .description = */ "Get the current time in a city", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "city": { + "type": "string", + "description": "City name" + } + }, + "required": ["city"] + })", +}; + +static common_chat_tool get_weather_tool{ + /* .name = */ "get_weather", + /* .description = */ "Get the current weather in a city", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "city": { + "type": "string", + "description": "City name" + } + }, + "required": ["city"] + })", +}; + +static common_chat_tool todo_list{ /* .name = */ "todo_list", /* .description = */ "Create or update the todo list", /* .parameters = */ R"({ @@ -243,44 +507,275 @@ common_chat_tool todo_list_tool { "required": ["todos"] })", }; -common_chat_tool code_interpreter_tool { - /* .name = */ "code_interpreter", - /* .description = */ "an ipython interpreter", + +static common_chat_tool edit_tool{ + /* .name = */ "edit", + /* .description = */ "Edit file", /* .parameters = */ R"({ "type": "object", "properties": { - "code": { + "filename": { "type": "string", - "description": "Python code to execute." + "description": "Path of file to edit" + }, + "oldString": { + "type": "string", + "description": "String to replace" + }, + "newString": { + "type": "string", + "description": "New (replacement) value" } }, - "required": ["code"] + "required": ["filename", "oldString", "newString"] })", }; -std::vector tools { special_function_tool, special_function_tool_with_optional_param, python_tool }; -std::vector llama_3_1_tools { special_function_tool, code_interpreter_tool }; + +static common_chat_tool magic_tool{ + /* .name = */ "magic", + /* .description = */ "Magic tool that takes a hash", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "ref": { + "type": "string" + } + }, + "required": ["name", "ref"] + })", +}; + +static common_chat_tool magic_int_tool{ + /* .name = */ "magic_int", + /* .description = */ "Magic tool that takes a hash", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "ref": { + "type": "integer" + }, + "name": { + "type": "string" + } + }, + "required": ["ref"] + })", +}; + +static common_chat_tool amount_tool{ + /* .name = */ "amount", + /* .description = */ "Amount converter", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "orig": { + "type": "number" + } + }, + "required": ["orig"] + })", +}; + +static common_chat_tool imaginary_number_tool{ + /* .name = */ "imaginary_number", + /* .description = */ "Imaginary number converter", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "number": { + "type": "object", + "properties": { + "real": { + "type": "number" + }, + "imaginary": { + "type": "number" + } + }, + "required": ["real", "imaginary"] + } + }, + "required": ["number"] + })", +}; + +static common_chat_tool string_param_tool{ + /* .name = */ "string_param", + /* .description = */ "Tool with string parameter for testing", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "text": { + "type": "string", + "description": "A text parameter" + } + }, + "required": [] + })", +}; + +static common_chat_tool quoted_unquoted_tool{ + /* .name = */ "quoted_unquoted", + /* .description = */ "Tool with two string parameters, one for quoted string, one for unquoted", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "quoted": { + "type": "string", + "description": "Quoted value" + }, + "unquoted": { + "type": "string", + "description": "Unquoted value" + } + }, + "required": ["quoted", "unquoted"] + })", +}; + + +static std::vector tools{ special_function_tool, special_function_tool_with_optional_param, + python_tool, html_tool, todo_list }; + +const common_chat_msg message_user{ + "user", + "Hey there!", + /* .content_parts = */ {}, + /* .tool_calls = */ {}, + /* .reasoning_content = */ "", + /* .tool_name = */ "", + /* .tool_call_id = */ "", +}; + +const common_chat_msg message_user_parts{ + "user", + /* .content = */ "", + /* .content_parts = */ + { + { "text", "Hey" }, + { "text", "there" }, + }, + /* .tool_calls = */ + { }, + /* .reasoning_content = */ + "", + /* .tool_name = */ "", + /* .tool_call_id = */ "", +}; + +static common_chat_msg simple_assist_msg(const std::string & content, + const std::string & reasoning_content = "", + const std::string & tool_name = "", + const std::string & arguments = "", + const std::string & id = "") { + common_chat_msg msg; + msg.role = "assistant"; + msg.content = content; + msg.reasoning_content = reasoning_content; + if (!tool_name.empty() || !id.empty()) { + msg.tool_calls.push_back({ tool_name, arguments, id }); + } + return msg; +} + +static common_chat_msg message_with_tool_calls(const std::string & tool_name, const std::string & arguments) { + return simple_assist_msg("", "", tool_name, arguments); +} + +static common_chat_msg message_with_tool_calls_and_reasoning(const std::string & tool_name, + const std::string & arguments, + const std::string & reasoning) { + return simple_assist_msg("", reasoning, tool_name, arguments); +} + +static common_chat_msg message_with_reasoning_content_and_multiple_tool_calls( + const std::string & reasoning, + const std::string & content, + const std::vector> & tool_calls) { + common_chat_msg msg; + msg.role = "assistant"; + msg.content = content; + msg.reasoning_content = reasoning; + for (const auto & [name, args] : tool_calls) { + msg.tool_calls.push_back({ name, args, "" }); + } + return msg; +} + +static common_chat_msg message_with_content_and_tool_call(const std::string & content, + const std::string & tool_name, + const std::string & arguments) { + return simple_assist_msg(content, "", tool_name, arguments); +} + +static common_chat_msg message_with_reasoning_and_tool_call(const std::string & reasoning, + const std::string & tool_name, + const std::string & arguments) { + return simple_assist_msg("", reasoning, tool_name, arguments); +} + +const common_chat_msg message_assist = simple_assist_msg("Hello, world!\nWhat's up?"); +const common_chat_msg message_assist_empty = simple_assist_msg(""); +const common_chat_msg message_assist_thoughts_unparsed_deepseek = + simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?"); +const common_chat_msg message_assist_thoughts_unparsed_md = + simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?\n```json\n{}```"); +const common_chat_msg message_assist_thoughts_unparsed_md_partial = + simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?\n```json\n{}"); + +const common_chat_msg message_assist_thoughts_unparsed_r7b = + simple_assist_msg("<|START_THINKING|>I'm\nthinking<|END_THINKING|>Hello, world!\nWhat's up?"); +const common_chat_msg message_assist_thoughts_unparsed_magistral = + simple_assist_msg("[THINK]raisonnement[/THINK]Réponse"); +const common_chat_msg message_assist_thoughts = simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"); +const common_chat_msg message_assist_thoughts_unopened_unparsed = + simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?"); +const common_chat_msg message_assist_thoughts_no_content = simple_assist_msg("", "I'm\nthinking"); +const common_chat_msg message_assist_call = simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"); +const common_chat_msg message_assist_call_noopt = + simple_assist_msg("", "", "special_function_with_opt", "{\"arg1\": 1}"); +const common_chat_msg message_assist_call_withopt = + simple_assist_msg("", "", "special_function_with_opt", "{\"arg1\": 1, \"arg2\": 2}"); +const common_chat_msg message_assist_call_content = + simple_assist_msg("Hello, world!\nWhat's up?", "", "special_function", "{\"arg1\":1}"); +const common_chat_msg message_assist_call_empty_args = simple_assist_msg("", "", "special_function"); +const common_chat_msg message_assist_call_cutoff_args = simple_assist_msg("", "", "special_function", "{\"arg"); +const common_chat_msg message_assist_call_thoughts = + simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\":1}"); +const common_chat_msg message_assist_call_thoughts_unparsed = + simple_assist_msg("I'm\nthinking\n\n", "", "special_function", "{\"arg1\": 1}"); +const common_chat_msg message_assist_call_thoughts_content = + simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": 1}"); +const common_chat_msg message_assist_call_id = + simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "123456789"); +const common_chat_msg message_assist_call_idx = + simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "0"); +const common_chat_msg message_assist_thoughts_call_idx = + simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}", /* id = */ "0"); +const common_chat_msg message_assist_thoughts_partial_call = + simple_assist_msg("", "I'm\nthinking", "special_function", "", /* id = */ "0"); +const common_chat_msg message_assist_call_python = simple_assist_msg("", "", "python", "{\"code\":\"print('hey')\"}"); +const common_chat_msg message_assist_call_python_lines = + simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')\"}"); +const common_chat_msg message_assist_call_python_lines_unclosed = + simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')"); +const common_chat_msg message_assist_json_content = + simple_assist_msg("{\n \"response\": \"Hello, world!\\nWhat's up?\"\n}"); struct delta_data { std::string delta; common_chat_params params; }; -static common_chat_msg simple_assist_msg(const std::string & content, const std::string & reasoning_content = "", const std::string & tool_name = "", const std::string & arguments = "", const std::string & id = "") { - common_chat_msg msg; - msg.role = "assistant"; - msg.content = content; - msg.reasoning_content = reasoning_content; - if (!tool_name.empty()) { - msg.tool_calls.push_back({ tool_name, arguments, id }); - } - return msg; -} - -static delta_data init_delta(const struct common_chat_templates * tmpls, const std::vector & end_tokens, - const common_chat_msg & user_message, - const common_chat_msg & delta_message, +static delta_data init_delta(const struct common_chat_templates * tmpls, + const std::vector & end_tokens, + const common_chat_msg & user_message, + const common_chat_msg & delta_message, const std::vector & tools, - const common_chat_tool_choice & tool_choice) { + const common_chat_tool_choice & tool_choice) { common_chat_templates_inputs inputs; inputs.parallel_tool_calls = true; inputs.messages.push_back(user_message); @@ -331,20 +826,27 @@ static delta_data init_delta(const struct common_chat_templates * tmpls, const s gets the diff, removes any end tokens and parses the result w/ the grammar, checking that the parsed message is the same as the test_message */ -static void test_templates(const struct common_chat_templates * tmpls, const std::vector & end_tokens, - const common_chat_msg & test_message, - const std::vector & tools = {}, - const std::string & expected_delta = "", - bool expect_grammar_triggered = true, - bool test_grammar_if_triggered = true, - common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE, - bool ignore_whitespace_differences = false - ) { +static void test_templates(const struct common_chat_templates * tmpls, + const std::vector & end_tokens, + const common_chat_msg & test_message, + const std::vector & tools = {}, + const std::string & expected_delta = "", + bool expect_grammar_triggered = true, + bool test_grammar_if_triggered = true, + common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE, + bool ignore_whitespace_differences = false) { common_chat_msg user_message; - user_message.role = "user"; + user_message.role = "user"; user_message.content = "Hello, world!"; - for (const auto & tool_choice : std::vector {COMMON_CHAT_TOOL_CHOICE_AUTO, COMMON_CHAT_TOOL_CHOICE_REQUIRED}) { + common_chat_templates_inputs inputs_tools; + inputs_tools.messages = { message_user }; + inputs_tools.tools = { special_function_tool }; + + common_chat_params params = common_chat_templates_apply(tmpls, inputs_tools); + + for (const auto & tool_choice : + std::vector{ COMMON_CHAT_TOOL_CHOICE_AUTO, COMMON_CHAT_TOOL_CHOICE_REQUIRED }) { auto data = init_delta(tmpls, end_tokens, user_message, test_message, tools, tool_choice); if (!expected_delta.empty()) { if (ignore_whitespace_differences) { @@ -356,10 +858,14 @@ static void test_templates(const struct common_chat_templates * tmpls, const std if (expect_grammar_triggered) { // TODO @ngxson : refactor common_chat_parse to avoid passing format/reasoning_format every time - common_chat_parser_params params; - params.format = data.params.format; - params.reasoning_format = reasoning_format; - const auto msg = common_chat_parse(data.delta, /* is_partial= */ false, params); + common_chat_parser_params parser_params; + parser_params.format = data.params.format; + parser_params.reasoning_format = reasoning_format; + if (!parser_params.parser.empty()) { + parser_params.parser = common_peg_arena(); + parser_params.parser.load(params.parser); + } + const auto msg = common_chat_parse(data.delta, /* is_partial= */ false, parser_params); assert_msg_equals(test_message, msg, ignore_whitespace_differences); } @@ -372,29 +878,306 @@ static void test_templates(const struct common_chat_templates * tmpls, const std throw std::runtime_error("Failed to build grammar"); } auto earliest_trigger_pos = std::string::npos; - auto constrained = data.delta; + auto constrained = data.delta; for (const auto & trigger : data.params.grammar_triggers) { - size_t pos = std::string::npos; + size_t pos = std::string::npos; std::smatch match; switch (trigger.type) { case COMMON_GRAMMAR_TRIGGER_TYPE_WORD: + { + const auto & word = trigger.value; + pos = constrained.find(word); + break; + } + case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN: + { + const auto & pattern = std::regex(trigger.value); + if (std::regex_search(constrained, match, pattern)) { + pos = match.position(pattern.mark_count()); + } + break; + } + case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL: + { + const auto & pattern = trigger.value; + if (std::regex_match(constrained, match, std::regex(pattern))) { + auto mpos = std::string::npos; + for (size_t i = 1; i < match.size(); ++i) { + if (match[i].length() > 0) { + mpos = match.position(i); + break; + } + } + if (mpos == std::string::npos) { + mpos = match.position(0); + } + pos = mpos; + } + break; + } + default: + throw std::runtime_error("Unknown trigger type"); + } + if (pos == std::string::npos) { + continue; + } + if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) { + earliest_trigger_pos = pos; + } + } + auto grammar_triggered = false; + if (earliest_trigger_pos != std::string::npos) { + constrained = constrained.substr(earliest_trigger_pos); + grammar_triggered = true; + } + if (data.params.grammar_lazy) { + assert_equals(expect_grammar_triggered, grammar_triggered); + } + + if (grammar_triggered && test_grammar_if_triggered && !match_string(constrained, grammar.get())) { + throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta + + "\n\nConstrained: " + constrained + "\n\nGrammar: " + data.params.grammar); + } + } + } +} + +/** + * Test if streaming=true is consistent with streaming=false for given partial parser + * Also test if there is any problem with partial message + */ +template +static void test_parser_with_streaming(const common_chat_msg & expected, const std::string & raw_message, T parse_msg) { + constexpr auto utf8_truncate_safe_len = [](const std::string_view s) -> size_t { + auto len = s.size(); + if (len == 0) { + return 0; + } + auto i = len; + for (size_t back = 0; back < 4 && i > 0; ++back) { + --i; + unsigned char c = s[i]; + if ((c & 0x80) == 0) { + return len; + } + if ((c & 0xC0) == 0xC0) { + size_t expected_len = 0; + if ((c & 0xE0) == 0xC0) { + expected_len = 2; + } else if ((c & 0xF0) == 0xE0) { + expected_len = 3; + } else if ((c & 0xF8) == 0xF0) { + expected_len = 4; + } else { + return i; + } + if (len - i >= expected_len) { + return len; + } + return i; + } + } + return len - std::min(len, size_t(3)); + }; + constexpr auto utf8_truncate_safe_view = [utf8_truncate_safe_len](const std::string_view s) { + return s.substr(0, utf8_truncate_safe_len(s)); + }; + + auto merged = simple_assist_msg(""); + auto last_msg = parse_msg(""); + for (size_t i = 1; i <= raw_message.size(); ++i) { + auto curr_msg = parse_msg(std::string(utf8_truncate_safe_view(std::string_view(raw_message).substr(0, i)))); + if (curr_msg == simple_assist_msg("")) { + continue; + } + LOG_INF("Streaming msg: %s\n", common_chat_msgs_to_json_oaicompat({ curr_msg }).dump().c_str()); + for (auto diff : common_chat_msg_diff::compute_diffs(last_msg, curr_msg)) { + LOG_INF("Streaming diff: %s\n", common_chat_msg_diff_to_json_oaicompat(diff).dump().c_str()); + if (!diff.reasoning_content_delta.empty()) { + merged.reasoning_content += diff.reasoning_content_delta; + } + if (!diff.content_delta.empty()) { + merged.content += diff.content_delta; + } + if (diff.tool_call_index != std::string::npos) { + if (!diff.tool_call_delta.name.empty()) { + merged.tool_calls.push_back({ diff.tool_call_delta.name, "", "" }); + } + if (!diff.tool_call_delta.arguments.empty()) { + GGML_ASSERT(!merged.tool_calls.empty()); + merged.tool_calls.back().arguments += diff.tool_call_delta.arguments; + } + } + LOG_INF("Streaming merged: %s\n", common_chat_msgs_to_json_oaicompat({ merged }).dump().c_str()); + } + assert_msg_equals(curr_msg, merged, true); + last_msg = curr_msg; + } + assert_msg_equals(expected, parse_msg(raw_message), true); + assert_msg_equals(expected, merged, true); +} + +// Use for PEG parser implementations +struct peg_test_case { + common_chat_templates_inputs params; + std::string input; + common_chat_msg expect; + bool is_partial = false; +}; + +struct make_peg_parser { + common_chat_params params_; + common_peg_arena arena_; + bool detailed_debug_; + + make_peg_parser(common_chat_templates * tmpls, + const common_chat_templates_inputs & inputs, + bool detailed_debug = false) { + detailed_debug_ = detailed_debug; + params_ = common_chat_templates_apply(tmpls, inputs); + arena_.load(params_.parser); + } + + common_chat_msg parse(const std::string & msg, bool is_partial) const { + common_chat_parser_params parser_params; + parser_params.format = params_.format; + parser_params.debug = detailed_debug_; + return common_chat_peg_parse(arena_, msg, is_partial, parser_params); + } +}; + +static void test_peg_parser(common_chat_templates * tmpls, + const std::function & init, + bool detailed_debug) { + // UTF-8-safe truncation helper (same as in test_parser_with_streaming) + constexpr auto utf8_truncate_safe_len = [](const std::string_view s) -> size_t { + auto len = s.size(); + if (len == 0) { + return 0; + } + auto i = len; + for (size_t back = 0; back < 4 && i > 0; ++back) { + --i; + unsigned char c = s[i]; + if ((c & 0x80) == 0) { + return len; + } + if ((c & 0xC0) == 0xC0) { + size_t expected_len = 0; + if ((c & 0xE0) == 0xC0) { + expected_len = 2; + } else if ((c & 0xF0) == 0xE0) { + expected_len = 3; + } else if ((c & 0xF8) == 0xF0) { + expected_len = 4; + } else { + return i; + } + if (len - i >= expected_len) { + return len; + } + return i; + } + } + return len - std::min(len, size_t(3)); + }; + + peg_test_case tc; + init(tc); + if (tc.params.messages.empty()) { + tc.params.messages = { message_user }; + } + if (tc.expect.role.empty()) { + tc.expect.role = "assistant"; + } + + auto parser = make_peg_parser(tmpls, tc.params, detailed_debug); + if (detailed_debug) { + LOG_DBG("Using parser: \n%s\n", parser.arena_.dump(parser.arena_.root()).c_str()); + } + + common_chat_msg msg_accum; + common_chat_msg msg_prev; + msg_accum.role = msg_prev.role = "assistant"; + + for (size_t i = 1; i <= tc.input.size(); ++i) { + auto is_partial = i < tc.input.size() || tc.is_partial; + // Use UTF-8 safe truncation to avoid corrupting multi-byte characters + size_t safe_len = utf8_truncate_safe_len(std::string_view(tc.input).substr(0, i)); + std::string prefix = tc.input.substr(0, safe_len); + common_chat_msg msg_current = parser.parse(prefix, is_partial); + + for (const auto & diff : common_chat_msg_diff::compute_diffs(msg_prev, msg_current)) { + if (!diff.reasoning_content_delta.empty()) { + msg_accum.reasoning_content += diff.reasoning_content_delta; + } + if (!diff.content_delta.empty()) { + msg_accum.content += diff.content_delta; + } + if (diff.tool_call_index != std::string::npos) { + // During partial parsing, a new tool call may appear with empty name initially + // The name gets filled in as more input is parsed + while (msg_accum.tool_calls.size() <= diff.tool_call_index) { + msg_accum.tool_calls.push_back({ "", "", "" }); + } + // Always update name and id from diff (may change during incremental parsing), but only if the delta + // actually contains them + if (!diff.tool_call_delta.name.empty()) { + msg_accum.tool_calls[diff.tool_call_index].name = diff.tool_call_delta.name; + } + if (!diff.tool_call_delta.id.empty()) { + msg_accum.tool_calls[diff.tool_call_index].id = diff.tool_call_delta.id; + } + if (!diff.tool_call_delta.arguments.empty()) { + msg_accum.tool_calls[diff.tool_call_index].arguments += diff.tool_call_delta.arguments; + } + } + } + try { + assert_msg_equals(msg_current, msg_accum, true); + } catch (std::exception & e) { + throw std::runtime_error((std::string("Error comparing accumulated message to current: ") + e.what()).c_str()); + } + + msg_prev = msg_current; + } + + if (!tc.is_partial) { + assert_msg_equals(tc.expect, parser.parse(tc.input, false), true); + } + assert_msg_equals(tc.expect, msg_accum, true); + + // Test grammar if present in params + if (!parser.params_.grammar.empty()) { + auto grammar = build_grammar(parser.params_.grammar); + if (!grammar) { + throw std::runtime_error("Failed to build grammar: " + parser.params_.grammar); + } + + // Find the earliest trigger position to determine the constrained portion + auto earliest_trigger_pos = std::string::npos; + for (const auto & trigger : parser.params_.grammar_triggers) { + size_t pos = std::string::npos; + std::smatch match; + switch (trigger.type) { + case COMMON_GRAMMAR_TRIGGER_TYPE_WORD: { const auto & word = trigger.value; - pos = constrained.find(word); + pos = tc.input.find(word); break; } - case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN: + case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN: { - const auto & pattern = trigger.value; - if (std::regex_search(constrained, match, std::regex(pattern))) { - pos = match.position(1); + const auto & pattern = std::regex(trigger.value); + if (std::regex_search(tc.input, match, pattern)) { + pos = match.position(pattern.mark_count()); } break; } - case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL: + case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL: { const auto & pattern = trigger.value; - if (std::regex_match(constrained, match, std::regex(pattern))) { + if (std::regex_match(tc.input, match, std::regex(pattern))) { auto mpos = std::string::npos; for (size_t i = 1; i < match.size(); ++i) { if (match[i].length() > 0) { @@ -409,220 +1192,168 @@ static void test_templates(const struct common_chat_templates * tmpls, const std } break; } - default: - throw std::runtime_error("Unknown trigger type"); - } - if (pos == std::string::npos) { - continue; - } + default: + throw std::runtime_error("Unknown trigger type"); + } + if (pos != std::string::npos) { if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) { earliest_trigger_pos = pos; } } - auto grammar_triggered = false; - if (earliest_trigger_pos != std::string::npos) { - constrained = constrained.substr(earliest_trigger_pos); - grammar_triggered = true; - } - if (data.params.grammar_lazy) { - assert_equals(expect_grammar_triggered, grammar_triggered); - } - - if (grammar_triggered && test_grammar_if_triggered && !match_string(constrained, grammar.get())) { - throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta + - "\n\nConstrained: " + constrained + - "\n\nGrammar: " + data.params.grammar); - } } - } -} -/** - * Test if streaming=true is consistent with streaming=false for given partial parser - * Also test if there is any problem with partial message - */ -template -static void test_parser_with_streaming(const common_chat_msg & expected, const std::string & raw_message, T parse_msg) { - constexpr auto utf8_truncate_safe_len = [](const std::string_view s) -> size_t { - auto len = s.size(); - if (len == 0) return 0; - auto i = len; - for (size_t back = 0; back < 4 && i > 0; ++back) { - --i; - unsigned char c = s[i]; - if ((c & 0x80) == 0) { - return len; - } else if ((c & 0xC0) == 0xC0) { - size_t expected_len = 0; - if ((c & 0xE0) == 0xC0) expected_len = 2; - else if ((c & 0xF0) == 0xE0) expected_len = 3; - else if ((c & 0xF8) == 0xF0) expected_len = 4; - else return i; - if (len - i >= expected_len) { - return len; + // Determine the constrained portion of input to test against grammar + std::string constrained = tc.input; + bool grammar_triggered = false; + if (earliest_trigger_pos != std::string::npos) { + constrained = tc.input.substr(earliest_trigger_pos); + grammar_triggered = true; + } else if (!parser.params_.grammar_lazy) { + // For non-lazy grammars, the entire input should match + grammar_triggered = true; + } + + // Test the constrained portion against the grammar + if (grammar_triggered && !tc.is_partial) { + auto result = match_string_detailed(constrained, grammar.get()); + if (!result.success) { + std::string error_msg; + if (result.incomplete) { + error_msg = + "Grammar matched all input but expects more:\n\n" + ">>> Input: " + tc.input + + "\n\n>>> Constrained: " + constrained + + "\n\n>>> Matched prefix (" + std::to_string(result.matched_bytes) + " bytes, " + + std::to_string(result.matched_codepoints) + " codepoints): " + + (result.matched_prefix.size() > 100 ? result.matched_prefix.substr(0, 100) + "..." : result.matched_prefix) + + "\n\n>>> Expected next: " + result.expected_description + + "\n\n>>> Grammar: " + parser.params_.grammar; } else { - return i; + error_msg = + "Grammar match failed:\n\n" + ">>> Input: " + tc.input + + "\n\n>>> Constrained: " + constrained + + "\n\n>>> Matched prefix (" + std::to_string(result.matched_bytes) + " bytes, " + + std::to_string(result.matched_codepoints) + " codepoints): " + + (result.matched_prefix.size() > 100 ? result.matched_prefix.substr(0, 100) + "..." : result.matched_prefix) + + "\n\n>>> Failing character: " + result.failing_char + + "\n\n>>> Expected: " + result.expected_description + + "\n\n>>> Grammar: " + parser.params_.grammar; } + throw std::runtime_error(error_msg); } } - return len - std::min(len, size_t(3)); - }; - constexpr auto utf8_truncate_safe_view = [utf8_truncate_safe_len](const std::string_view s) { - return s.substr(0, utf8_truncate_safe_len(s)); - }; - - auto merged = simple_assist_msg(""); - auto last_msg = parse_msg(""); - for (size_t i = 1; i <= raw_message.size(); ++i) { - auto curr_msg = parse_msg(std::string(utf8_truncate_safe_view(std::string_view(raw_message).substr(0, i)))); - if (curr_msg == simple_assist_msg("")) continue; - LOG_INF("Streaming msg: %s\n", common_chat_msgs_to_json_oaicompat({curr_msg}).dump().c_str()); - for (auto diff: common_chat_msg_diff::compute_diffs(last_msg, curr_msg)) { - LOG_INF("Streaming diff: %s\n", common_chat_msg_diff_to_json_oaicompat(diff).dump().c_str()); - if (!diff.reasoning_content_delta.empty()) { - merged.reasoning_content += diff.reasoning_content_delta; - } - if (!diff.content_delta.empty()) { - merged.content += diff.content_delta; - } - if (diff.tool_call_index != std::string::npos) { - if (!diff.tool_call_delta.name.empty()) { - merged.tool_calls.push_back({diff.tool_call_delta.name, "", ""}); - } - if (!diff.tool_call_delta.arguments.empty()) { - GGML_ASSERT(!merged.tool_calls.empty()); - merged.tool_calls.back().arguments += diff.tool_call_delta.arguments; - } - } - LOG_INF("Streaming merged: %s\n", common_chat_msgs_to_json_oaicompat({merged}).dump().c_str()); - } - assert_msg_equals(curr_msg, merged, true); - last_msg = curr_msg; } - assert_msg_equals(expected, parse_msg(raw_message), true); - assert_msg_equals(expected, merged, true); } -const common_chat_msg message_user { - "user", - "Hey there!", - /* .content_parts = */ {}, - /* .tool_calls = */ {}, - /* .reasoning_content = */ "", - /* .tool_name = */ "", - /* .tool_call_id = */ "", +// Global template filter for --template flag +static std::string g_template_filter; + +// Fluent builder for PEG parser tests +class peg_test_builder; + +class peg_tester { + common_chat_templates_ptr tmpls_; + std::string template_path_; + bool detailed_debug_; + friend class peg_test_builder; + + public: + explicit peg_tester(const std::string & template_path, const bool detailed_debug = false) : + tmpls_(read_templates(template_path)), + template_path_(template_path), + detailed_debug_(detailed_debug) {} + + const std::string & template_path() const { return template_path_; } + + peg_test_builder test(const std::string & input); }; -const common_chat_msg message_user_parts { - "user", - /* .content = */ "", - /* .content_parts = */ { - { "text", "Hey" }, - { "text", "there" }, - }, - /* .tool_calls = */ {}, - /* .reasoning_content = */ "", - /* .tool_name = */ "", - /* .tool_call_id = */ "", -}; +class peg_test_builder { + peg_tester & tester_; + peg_test_case tc_; -const common_chat_msg message_assist = simple_assist_msg("Hello, world!\nWhat's up?"); -const common_chat_msg message_assist_empty = simple_assist_msg(""); -const common_chat_msg message_assist_thoughts_unparsed_deepseek = simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?"); -const common_chat_msg message_assist_thoughts_unparsed_md = simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?\n```json\n{}```"); -const common_chat_msg message_assist_thoughts_unparsed_md_partial = simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?\n```json\n{}"); + public: + peg_test_builder(peg_tester & tester, const std::string & input) : tester_(tester) { tc_.input = input; } -const common_chat_msg message_assist_thoughts_unparsed_r7b = simple_assist_msg("<|START_THINKING|>I'm\nthinking<|END_THINKING|>Hello, world!\nWhat's up?"); -const common_chat_msg message_assist_thoughts_unparsed_magistral = simple_assist_msg("[THINK]raisonnement[/THINK]Réponse"); -const common_chat_msg message_assist_thoughts = simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"); -const common_chat_msg message_assist_thoughts_unopened_unparsed = simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?"); -const common_chat_msg message_assist_thoughts_no_content = simple_assist_msg("", "I'm\nthinking"); -const common_chat_msg message_assist_call = simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"); -const common_chat_msg message_assist_call_noopt = simple_assist_msg("", "", "special_function_with_opt", "{\"arg1\": 1}"); -const common_chat_msg message_assist_call_withopt = simple_assist_msg("", "", "special_function_with_opt", "{\"arg1\": 1, \"arg2\": 2}"); -const common_chat_msg message_assist_call_content = simple_assist_msg("Hello, world!\nWhat's up?", "", "special_function", "{\"arg1\":1}"); -const common_chat_msg message_assist_call_empty_args = simple_assist_msg("", "", "special_function"); -const common_chat_msg message_assist_call_cutoff_args = simple_assist_msg("", "", "special_function", "{\"arg"); -const common_chat_msg message_assist_call_thoughts = simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\":1}"); -const common_chat_msg message_assist_call_thoughts_unparsed = simple_assist_msg("I'm\nthinking\n\n", "", "special_function", "{\"arg1\": 1}"); -const common_chat_msg message_assist_call_thoughts_content = simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": 1}"); -const common_chat_msg message_assist_call_id = simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "123456789"); -const common_chat_msg message_assist_call_idx = simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "0"); -const common_chat_msg message_assist_thoughts_call_idx = simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}", /* id = */ "0"); -const common_chat_msg message_assist_call_python = simple_assist_msg("", "", "python", "{\"code\":\"print('hey')\"}"); -const common_chat_msg message_assist_call_python_lines = simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')\"}"); -const common_chat_msg message_assist_call_python_lines_unclosed = simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')"); -const common_chat_msg message_assist_call_code_interpreter = simple_assist_msg("", "", "code_interpreter", "{\"code\":\"print('hey')\"}"); - -// Use for PEG parser implementations -struct peg_test_case { - common_chat_templates_inputs params; - std::string input; - common_chat_msg expect; -}; - -struct make_peg_parser { - common_chat_params params_; - common_peg_arena arena_; - - make_peg_parser(common_chat_templates * tmpls, const common_chat_templates_inputs & inputs) { - params_ = common_chat_templates_apply(tmpls, inputs); - arena_.load(params_.parser); + // Parameter setters + peg_test_builder & reasoning_format(common_reasoning_format fmt) { + tc_.params.reasoning_format = fmt; + return *this; } - common_chat_msg parse(const std::string & msg, bool is_partial) { - common_chat_parser_params parser_params; - parser_params.format = params_.format; - return common_chat_peg_parse(arena_, msg, is_partial, parser_params); - } -}; - -static void test_peg_parser(common_chat_templates * tmpls, const std::function & init) { - peg_test_case tc; - init(tc); - if (tc.params.messages.empty()) { - tc.params.messages = {message_user}; - } - if (tc.expect.role.empty()) { - tc.expect.role = "assistant"; + peg_test_builder & tools(std::vector tools) { + tc_.params.tools = std::move(tools); + return *this; } - auto parser = make_peg_parser(tmpls, tc.params); + peg_test_builder & enable_thinking(bool val) { + tc_.params.enable_thinking = val; + return *this; + } - common_chat_msg msg_accum; - common_chat_msg msg_prev; - msg_accum.role = msg_prev.role = "assistant"; + peg_test_builder & parallel_tool_calls(bool val) { + tc_.params.parallel_tool_calls = val; + return *this; + } - for (size_t i = 1; i <= tc.input.size(); ++i) { - auto is_partial = i < tc.input.size(); - common_chat_msg msg_current = parser.parse(tc.input.substr(0, i), is_partial); + peg_test_builder & json_schema(const std::string & schema) { + tc_.params.json_schema = schema; + return *this; + } - for (const auto & diff : common_chat_msg_diff::compute_diffs(msg_prev, msg_current)) { - if (!diff.reasoning_content_delta.empty()) { - msg_accum.reasoning_content += diff.reasoning_content_delta; - } - if (!diff.content_delta.empty()) { - msg_accum.content += diff.content_delta; - } - if (diff.tool_call_index != std::string::npos) { - if (!diff.tool_call_delta.name.empty()) { - msg_accum.tool_calls.push_back({diff.tool_call_delta.name, "", diff.tool_call_delta.id}); - } - if (!diff.tool_call_delta.arguments.empty()) { - msg_accum.tool_calls.back().arguments += diff.tool_call_delta.arguments; - } + peg_test_builder & is_partial(bool val) { + tc_.is_partial = val; + return *this; + } + + // Expect setters + peg_test_builder & expect(const common_chat_msg & msg) { + tc_.expect = msg; + return *this; + } + + peg_test_builder & expect_content(const std::string & content) { + tc_.expect.content = content; + return *this; + } + + peg_test_builder & expect_reasoning(const std::string & reasoning) { + tc_.expect.reasoning_content = reasoning; + return *this; + } + + peg_test_builder & expect_tool_calls(std::vector calls) { + tc_.expect.tool_calls = std::move(calls); + return *this; + } + + // Execute the test + void run() { + // Check template filter + if (!g_template_filter.empty()) { + // Case-insensitive substring match + std::string template_path_lower = tester_.template_path(); + std::string filter_lower = g_template_filter; + std::transform(template_path_lower.begin(), template_path_lower.end(), template_path_lower.begin(), + ::tolower); + std::transform(filter_lower.begin(), filter_lower.end(), filter_lower.begin(), ::tolower); + if (template_path_lower.find(filter_lower) == std::string::npos) { + // Skip this test + return; } } - assert_msg_equals(msg_current, msg_accum, true); - msg_prev = msg_current; + LOG_INF("\n\x1b[38;5;126m[%s]\x1b[0m\n%s\n\n", tester_.template_path().c_str(), tc_.input.c_str()); + test_peg_parser(tester_.tmpls_.get(), [this](peg_test_case & t) { t = tc_; }, tester_.detailed_debug_); } +}; - assert_msg_equals(tc.expect, parser.parse(tc.input, false), true); - assert_msg_equals(tc.expect, msg_accum, true); +peg_test_builder peg_tester::test(const std::string & input) { + return peg_test_builder(*this, input); } static void test_msgs_oaicompat_json_conversion() { - printf("[%s]\n", __func__); + LOG_DBG("%s\n", __func__); std::vector msgs{ message_user, message_user_parts, @@ -633,54 +1364,50 @@ static void test_msgs_oaicompat_json_conversion() { message_assist_call_id, message_assist_call_idx, message_assist_call_python, - message_assist_call_code_interpreter, }; for (const auto & msg : msgs) { - auto oai_json = common_chat_msgs_to_json_oaicompat({msg}); - auto msgs2 = common_chat_msgs_parse_oaicompat(oai_json); + auto oai_json = common_chat_msgs_to_json_oaicompat({ msg }); + auto msgs2 = common_chat_msgs_parse_oaicompat(oai_json); assert_equals((size_t) 1, msgs2.size()); - auto msg2 = msgs2[0]; + const auto & msg2 = msgs2[0]; assert_msg_equals(msg, msg2); } - assert_equals( - std::string( - "[\n" - " {\n" - " \"role\": \"user\",\n" - " \"content\": [\n" - " {\n" - " \"type\": \"text\",\n" - " \"text\": \"Hey\"\n" - " },\n" - " {\n" - " \"type\": \"text\",\n" - " \"text\": \"there\"\n" - " }\n" - " ]\n" - " }\n" - "]" - ), - common_chat_msgs_to_json_oaicompat({message_user_parts}).dump(2)); + assert_equals(std::string("[\n" + " {\n" + " \"role\": \"user\",\n" + " \"content\": [\n" + " {\n" + " \"type\": \"text\",\n" + " \"text\": \"Hey\"\n" + " },\n" + " {\n" + " \"type\": \"text\",\n" + " \"text\": \"there\"\n" + " }\n" + " ]\n" + " }\n" + "]"), + common_chat_msgs_to_json_oaicompat({ message_user_parts }).dump(2)); - assert_equals( - std::string( - "[\n" - " {\n" - " \"role\": \"assistant\",\n" - " \"content\": \"\",\n" - " \"tool_calls\": [\n" - " {\n" - " \"type\": \"function\",\n" - " \"function\": {\n" - " \"name\": \"python\",\n" - " \"arguments\": \"{\\\"code\\\":\\\"print('hey')\\\"}\"\n" - " }\n" - " }\n" - " ]\n" - " }\n" - "]" - ), - common_chat_msgs_to_json_oaicompat({message_assist_call_python}).dump(2)); + // Note: content is "" instead of null due to workaround for templates that render null as "None" + assert_equals(std::string("[\n" + " {\n" + " \"role\": \"assistant\",\n" + " \"content\": \"\",\n" + " \"tool_calls\": [\n" + " {\n" + " \"type\": \"function\",\n" + " \"function\": {\n" + " \"name\": \"python\",\n" + " \"arguments\": {\n" + " \"code\": \"print('hey')\"\n" + " }\n" + " }\n" + " }\n" + " ]\n" + " }\n" + "]"), + common_chat_msgs_to_json_oaicompat({ message_assist_call_python }).dump(2)); auto res = common_chat_msgs_parse_oaicompat(json::parse("[{\"role\": \"assistant\", \"tool_calls\": []}]")); assert_equals(1, res.size()); @@ -699,16 +1426,15 @@ static void test_msgs_oaicompat_json_conversion() { } static void test_tools_oaicompat_json_conversion() { - printf("[%s]\n", __func__); + LOG_DBG("%s\n", __func__); std::vector tools{ special_function_tool, python_tool, - code_interpreter_tool, }; for (const auto & tool : tools) { - auto oai_json = common_chat_tools_to_json_oaicompat({tool}); - auto tools2 = common_chat_tools_parse_oaicompat(oai_json); + auto oai_json = common_chat_tools_to_json_oaicompat({ tool }); + auto tools2 = common_chat_tools_parse_oaicompat(oai_json); assert_equals((size_t) 1, tools2.size()); auto tool2 = tools2[0]; assert_equals(tool.name, tool2.name); @@ -716,2347 +1442,32 @@ static void test_tools_oaicompat_json_conversion() { assert_equals(json::parse(tool.parameters).dump(2), json::parse(tool2.parameters).dump(2)); } - assert_equals( - std::string( - "[\n" - " {\n" - " \"type\": \"function\",\n" - " \"function\": {\n" - " \"name\": \"special_function\",\n" - " \"description\": \"I'm special\",\n" - " \"parameters\": {\n" - " \"type\": \"object\",\n" - " \"properties\": {\n" - " \"arg1\": {\n" - " \"type\": \"integer\",\n" - " \"description\": \"The arg.\"\n" - " }\n" - " },\n" - " \"required\": [\n" - " \"arg1\"\n" - " ]\n" - " }\n" - " }\n" - " }\n" - "]" - ), - common_chat_tools_to_json_oaicompat({special_function_tool}).dump(2)); - - { - auto tools_no_params = common_chat_tools_parse_oaicompat(json::parse( - R"([{"type": "function", "function": {"name": "test_func", "description": "A test"}}])")); - assert_equals((size_t) 1, tools_no_params.size()); - assert_equals(std::string("test_func"), tools_no_params[0].name); - assert_equals(std::string("A test"), tools_no_params[0].description); - assert_equals(std::string("{}"), tools_no_params[0].parameters); - } - { - auto tools_no_desc = common_chat_tools_parse_oaicompat(json::parse( - R"([{"type": "function", "function": {"name": "test_func", "parameters": {"type": "object"}}}])")); - assert_equals((size_t) 1, tools_no_desc.size()); - assert_equals(std::string("test_func"), tools_no_desc[0].name); - assert_equals(std::string(""), tools_no_desc[0].description); - } - { - auto tools_minimal = common_chat_tools_parse_oaicompat(json::parse( - R"([{"type": "function", "function": {"name": "test_func"}}])")); - assert_equals((size_t) 1, tools_minimal.size()); - assert_equals(std::string("test_func"), tools_minimal[0].name); - assert_equals(std::string(""), tools_minimal[0].description); - assert_equals(std::string("{}"), tools_minimal[0].parameters); - } + assert_equals(std::string("[\n" + " {\n" + " \"type\": \"function\",\n" + " \"function\": {\n" + " \"name\": \"special_function\",\n" + " \"description\": \"I'm special\",\n" + " \"parameters\": {\n" + " \"type\": \"object\",\n" + " \"properties\": {\n" + " \"arg1\": {\n" + " \"type\": \"integer\",\n" + " \"description\": \"The arg.\"\n" + " }\n" + " },\n" + " \"required\": [\n" + " \"arg1\"\n" + " ]\n" + " }\n" + " }\n" + " }\n" + "]"), + common_chat_tools_to_json_oaicompat({ special_function_tool }).dump(2)); } -// for compat; ref: https://github.com/ggml-org/llama.cpp/pull/18961 -struct test_parser_params { - common_chat_format format = COMMON_CHAT_FORMAT_CONTENT_ONLY; - common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE; - bool reasoning_in_content = false; - bool thinking_forced_open = false; - bool parse_tool_calls = true; -}; - -static common_chat_msg test_chat_parse(const std::string & input, bool is_partial, const test_parser_params & syntax) { - common_chat_parser_params params; - params.format = syntax.format; - params.reasoning_format = syntax.reasoning_format; - params.reasoning_in_content = syntax.reasoning_in_content; - params.thinking_forced_open = syntax.thinking_forced_open; - params.parse_tool_calls = syntax.parse_tool_calls; - return common_chat_parse(input, is_partial, params); -} - -static void test_template_output_parsers() { - printf("[%s]\n", __func__); - - common_chat_templates_inputs inputs_no_tools; - inputs_no_tools.messages = {message_user}; - - common_chat_templates_inputs inputs_tools; - inputs_tools.messages = {message_user}; - inputs_tools.tools = {special_function_tool}; - - common_chat_templates_inputs inputs_tools_builtin; - inputs_tools_builtin.messages = {message_user}; - inputs_tools_builtin.tools = {python_tool}; - - { - // Not supported yet - auto tmpls = read_templates("models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja"); - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - } - { - auto tmpls = read_templates("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja"); - std::vector end_tokens{ "<|END_OF_TURN_TOKEN|>" }; - - for (const auto & inputs : { inputs_no_tools, inputs_tools }) { - auto params = common_chat_templates_apply(tmpls.get(), inputs); - assert_equals(COMMON_CHAT_FORMAT_COMMAND_R7B, params.format); - assert_equals(false, params.thinking_forced_open); - } - - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_COMMAND_R7B})); - assert_msg_equals(message_assist, - test_chat_parse( - "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_COMMAND_R7B})); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" - "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts_unparsed_deepseek, - test_chat_parse( - "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" - "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ true, - /* .thinking_forced_open = */ false, - })); - assert_msg_equals(message_assist_thoughts_unparsed_r7b, - test_chat_parse( - "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" - "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_COMMAND_R7B})); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" - "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts_call_idx, - test_chat_parse( - "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" - "<|START_ACTION|>[\n" - " {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n" - "]<|END_ACTION|>", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts_no_content, - test_chat_parse( - "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" - "<|START_ACTION|>[\n" - " {\"tool_call_id\": \"0\", \"tool_name\": \"special", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - test_templates(tmpls.get(), end_tokens, message_assist_call_idx, tools, - "<|START_THINKING|><|END_THINKING|>" - "<|START_ACTION|>[\n" - " {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n" - "]<|END_ACTION|>", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ true, - COMMON_REASONING_FORMAT_DEEPSEEK); - test_templates(tmpls.get(), end_tokens, message_assist, tools, - "<|START_RESPONSE|>Hello, world!\n" - "What's up?<|END_RESPONSE|>", - /* expect_grammar_triggered= */ false); - } - // TODO @ngxson : generic tool calls is too costly to maintain, consider removing it in the future - { - auto tmpls = read_templates("models/templates/google-gemma-2-2b-it.jinja"); - std::vector end_tokens{ "" }; - - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - assert_equals(COMMON_CHAT_FORMAT_GENERIC, - common_chat_templates_apply( - read_templates("models/templates/microsoft-Phi-3.5-mini-instruct.jinja").get(), - inputs_tools) - .format); - - // Generic tool calls doesn't generate / parse content-only messages symmetrically. - - assert_equals( - simple_assist_msg("{ \"tool_call\" : { \"name\" : \"t"), - test_chat_parse( - "{ \"tool_call\" : { \"name\" : \"t", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GENERIC, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ false, - })); - assert_equals( - message_assist_empty, - test_chat_parse( - "{ \"tool_call\" : { \"name\" : \"t", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_GENERIC})); - - assert_equals( - simple_assist_msg("", "", "puppeteer_screenshot", "{\"name\":\"servethehome_homepage\","), - test_chat_parse( - R"({"tool_call": {"name": "puppeteer_screenshot", "arguments": {"name": "servethehome_homepage",)", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_GENERIC})); - - assert_equals( - message_assist_call_empty_args, - test_chat_parse( - "{ \"tool_call\" : { \"name\" : \"special_function\"", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_GENERIC})); - assert_equals( - message_assist_call_cutoff_args, - test_chat_parse( - "{ \"tool_call\" : { \"name\" : \"special_function\", \"arguments\" : { \"arg", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_GENERIC})); - - assert_msg_equals(message_assist, - test_chat_parse( - "{\n" - " \"response\": \"Hello, world!\\nWhat's up?\"\n" - "}", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_GENERIC})); -#if 0 - test_templates(tmpls.get(), end_tokens, message_assist_call_id, tools, - "{\n" - " \"tool_calls\": [\n" - " {\n" - " \"name\": \"special_function\",\n" - " \"arguments\": {\n" - " \"arg1\": 1\n" - " },\n" - " \"id\": \"123456789\"\n" - " }\n" - " ],\n" - " \"content\": \"\"\n" - "}"); -#endif - } - { - auto tmpls = read_templates("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja"); - std::vector end_tokens{ "" }; - - assert_equals(COMMON_CHAT_FORMAT_MISTRAL_NEMO, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - test_templates( - tmpls.get(), end_tokens, message_assist_call_id, tools, - "[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]"); - } - { - assert_msg_equals( - simple_assist_msg("Réponse", "raisonnement"), - test_chat_parse( - message_assist_thoughts_unparsed_magistral.content, - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_MAGISTRAL, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - } - { - auto tmpls = read_templates("models/templates/Qwen-QwQ-32B.jinja"); - std::vector end_tokens{ "<|im_end|>" }; - - assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - } - { - auto tmpls = read_templates("models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja"); - std::vector end_tokens{ "<|im_end|>" }; - - assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - assert_equals( - COMMON_CHAT_FORMAT_HERMES_2_PRO, - common_chat_templates_apply( - read_templates("models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja").get(), - inputs_tools) - .format); - assert_equals( - COMMON_CHAT_FORMAT_HERMES_2_PRO, - common_chat_templates_apply( - read_templates("models/templates/Qwen-Qwen2.5-7B-Instruct.jinja").get(), - inputs_tools) - .format); - - // Test parsing - assert_msg_equals( - simple_assist_msg("", "", "python", ""), - test_chat_parse( - "```json\n" - " { \"name\" : \"python\"", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - simple_assist_msg("Let's call something\n"), - test_chat_parse( - "Let's call something\n" - "{\"name\"", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals( - simple_assist_msg("Let's call something\n"), - test_chat_parse( - "Let's call something\n" - "{\"name", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_call_thoughts, - test_chat_parse( - // QwQ-32B's template adds a trailing if add_generation_prompt - "I'm\nthinking\n" - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - })); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "\n" - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals(message_assist_call_content, - test_chat_parse( - "Hello, world!\nWhat's up?\n" - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "{\"arg1\": 1}", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "\n" - "{\"arg1\": 1}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "```xml\n" - "\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "\n" - "```", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "```xml\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "```", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "```\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "```", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "```\n" - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "```", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "```json\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "```", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "```json\n" - "\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}} \n" - " \n" - "``` ", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "\n" - " {\n" - " \"name\": \"special_function\", \"arguments\": {\"arg1\": 1}\n" - " }\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "\n" - " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals( - message_assist_call, - test_chat_parse( - "{\n \"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - - // Test multiple tool calls - common_chat_msg message_assist_multiple_calls; - message_assist_multiple_calls.role = "assistant"; - message_assist_multiple_calls.content = ""; - message_assist_multiple_calls.tool_calls.push_back({"special_function", "{\"arg1\": 1}", ""}); - message_assist_multiple_calls.tool_calls.push_back({"python", "{\"code\":\"print('hello')\"}", ""}); - - assert_msg_equals( - message_assist_multiple_calls, - test_chat_parse( - "\n" - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "\n" - "\n" - "{\"name\": \"python\", \"arguments\": {\"code\":\"print('hello')\"}}\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - - assert_msg_equals( - message_assist_multiple_calls, - test_chat_parse( - "{\"arg1\": 1}\n" - "{\"code\":\"print('hello')\"}", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - - assert_msg_equals( - simple_assist_msg( - "This is not a tool call:", - "", - "special_function", - "{\"arg1\": 1}"), - test_chat_parse( - "This is not a tool call:\n" - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - assert_msg_equals(message_assist_thoughts_unparsed_deepseek, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_HERMES_2_PRO})); - // assert_msg_equals(message_assist_thoughts_unparsed_deepseek, - // test_chat_parse( - // "I'm\nthinkingHello, world!\nWhat's up?", - // COMMON_CHAT_FORMAT_HERMES_2_PRO)); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts_unparsed_md, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?\n```json\n{}```", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ true, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ false, - })); - assert_msg_equals(message_assist_thoughts_unparsed_md_partial, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?\n```json\n{}```", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ true, - /* .thinking_forced_open = */ false, - })); - assert_msg_equals(message_assist_thoughts_unopened_unparsed, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - })); - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "\n" - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - ""); - - // Test multiple tool calls with template - common_chat_msg message_assist_multiple_calls_template; - message_assist_multiple_calls_template.role = "assistant"; - message_assist_multiple_calls_template.content = ""; - message_assist_multiple_calls_template.tool_calls.push_back({"special_function", "{\"arg1\": 1}", ""}); - message_assist_multiple_calls_template.tool_calls.push_back({"python", "{\"code\":\"print('test')\"}", ""}); - - test_templates(tmpls.get(), end_tokens, message_assist_multiple_calls_template, tools, - "\n" - "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" - "\n" - "\n" - "{\"name\": \"python\", \"arguments\": {\"code\":\"print('test')\"}}\n" - ""); - - test_templates(tmpls.get(), end_tokens, message_assist_call_python_lines, tools, - "\n" - "{\"name\": \"python\", \"arguments\": {\"code\":\"# This is a program:\\nprint('hey')\"}}\n" - ""); - assert_msg_equals( - simple_assist_msg("", /* reasoning_content= */ "nah uhg"), - test_chat_parse( - "nah uhg", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - } - { - auto tmpls = read_templates("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja"); - std::vector end_tokens{ "<|eom_id|>", "<|eot_id|>" }; - - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS, - common_chat_templates_apply(tmpls.get(), inputs_tools_builtin).format); - assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS, - common_chat_templates_apply( - read_templates("models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja").get(), - inputs_tools_builtin) - .format); - - assert_equals( - message_assist_call, - test_chat_parse( - "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LLAMA_3_X})); - - // test_templates(tmpls.get(), end_tokens, message_assist, tools, R"(?)", /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_call_code_interpreter, llama_3_1_tools, - "<|python_tag|>code_interpreter.call(code=\"print('hey')\")"); - test_templates(tmpls.get(), end_tokens, message_assist_call_python, tools, - "<|python_tag|>python.call(code=\"print('hey')\")"); - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}"); - } - { - auto tmpls = read_templates("models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja"); - std::vector end_tokens{ "<|eom_id|>", "<|eot_id|>" }; - - assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}"); - } - { - auto tmpls = read_templates("models/templates/meetkai-functionary-medium-v3.1.jinja"); - std::vector end_tokens{ "<|eom_id|>", "<|eot_id|>" }; - - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, - common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1, - common_chat_templates_apply(tmpls.get(), inputs_tools).format); - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, - common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - - for (auto is_partial : { false, true }) { - assert_equals( - message_assist_call, - test_chat_parse( - "{\"arg1\": 1}", - is_partial, - {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1})); - } - - assert_equals( - message_assist_call, - test_chat_parse( - "{\"arg1\": 1}<", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1})); - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "{\"arg1\": 1}"); - } - { - auto tmpls = read_templates("models/templates/meetkai-functionary-medium-v3.2.jinja"); - std::vector end_tokens{ "<|eom_id|>", "<|eot_id|>" }; - - assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - assert_msg_equals( - simple_assist_msg( - "Hello, world!\nnono\nWhat's up?", - "", - "special_function", - "{\"arg1\": 1}"), - test_chat_parse( - "all\n" - "Hello, world!\n" - "nono\n" - "What's up?>>>special_function\n" - "{\"arg1\": 1}\n", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2})); - assert_msg_equals(message_assist_call_python_lines, - test_chat_parse( - "python\n" - "# This is a program:\n" - "print('hey')", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2})); - assert_msg_equals(message_assist_call_python_lines_unclosed, - test_chat_parse( - "python\n" - "# This is a program:\n" - "print('hey')", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2})); - assert_msg_equals(message_assist_call, - test_chat_parse( - "special_function\n" - "{\"arg1\": 1} \n ", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2})); - assert_msg_equals(message_assist, - test_chat_parse( - "all\n" - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2})); - - test_templates(tmpls.get(), end_tokens, message_assist, {}, - "all\n" - "Hello, world!\n" - "What's up?", - /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "special_function\n" - "{\"arg1\": 1}"); - } - { - auto tmpls = read_templates("models/templates/fireworks-ai-llama-3-firefunction-v2.jinja"); - std::vector end_tokens{ "<|eot_id|>" }; - - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_FIREFUNCTION_V2, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - " functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]"); - } - { - // Original DeepSeek R1 template. Leaves <｜tool▁calls▁begin｜> and others unclosed. Our logic fixes the prompt. - auto tmpls = read_templates("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja"); - std::vector end_tokens{ "<｜end▁of▁sentence｜>" }; - - for (const auto & inputs : { inputs_no_tools, inputs_tools }) { - auto params = common_chat_templates_apply(tmpls.get(), inputs); - assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, params.format); - assert_equals(true, params.thinking_forced_open); - } - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_thoughts, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - assert_msg_equals( - simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"), - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - })); - assert_msg_equals( - simple_assist_msg("", "I need to remember the correct syntax. It starts with <｜tool▁calls▁begin｜> and ends with"), - test_chat_parse( - "I need to remember the correct syntax. It starts with <｜tool▁calls▁begin｜> and ends with", - /* is_partial= */ true, - { - COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - })); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts_unopened_unparsed, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - })); - assert_msg_equals(message_assist_thoughts, - // Latest template update (ast of 20250209) adds a trailing \n if add_generation_prompt is true. - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - })); - // test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - // "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" - // "```json\n" - // "{\"arg1\": 1}\n" - // // Look what's not here: <｜tool▁calls▁end｜> (also missing the <｜end▁of▁sentence｜>, but that is removed lazily by the test's delta logic) - // "```<｜tool▁call▁end｜>", - // /* expect_grammar_triggered= */ true, - // /* test_grammar_if_triggered= */ false); - } - { - // Replacement DeepSeek R1 template. Makes the Distill Qwen 7B/32B models happy to call tools and all. - auto tmpls = read_templates("models/templates/llama-cpp-deepseek-r1.jinja"); - std::vector end_tokens{ "<｜end▁of▁sentence｜>" }; - - assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_thoughts, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - assert_msg_equals(message_assist_thoughts_unparsed_deepseek, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_DEEPSEEK_R1})); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - })); - - assert_msg_equals(message_assist_call_thoughts_unparsed, - test_chat_parse( - "I'm\nthinking\n\n" - "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" - "```json\n" - "{\"arg1\": 1}\n" - "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_DEEPSEEK_R1})); - assert_msg_equals(message_assist_call, - test_chat_parse( - "<｜tool▁calls｜>function<｜tool▁sep｜>special_function\n" - "```json\n" - "{\"arg1\": 1}\n" - "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_DEEPSEEK_R1})); - - assert_msg_equals(message_assist_call_thoughts, - test_chat_parse( - "I'm\nthinking\n\n" - "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" - "```json\n" - "{\"arg1\": 1}\n" - "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" - "```json\n" - "{\"arg1\": 1}\n" - "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>"); - } - { - auto tmpls = read_templates("models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja"); - std::vector end_tokens{ "<|end_of_text|>" }; - - assert_equals(COMMON_CHAT_FORMAT_GRANITE, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - - assert_equals(COMMON_CHAT_FORMAT_GRANITE, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - // Test parsing regular content - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_GRANITE})); - assert_msg_equals( - message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_GRANITE})); - - // Test parsing content with thinking - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GRANITE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts_unparsed_deepseek, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_GRANITE})); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GRANITE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GRANITE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals(simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?"), - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_GRANITE})); - assert_msg_equals(message_assist_empty, - test_chat_parse( - "I'm\nthinking", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GRANITE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - assert_msg_equals( - message_assist_empty, - test_chat_parse( - "I'm\nthinking[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_GRANITE})); - assert_msg_equals( - message_assist_call_empty_args, - test_chat_parse( - "<|tool_call|>[{\"name\": \"special_function\"", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_GRANITE})); - assert_msg_equals( - message_assist_call_cutoff_args, - test_chat_parse( - "<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_GRANITE})); - assert_msg_equals( - message_assist_call_cutoff_args, - test_chat_parse( - "<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GRANITE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test parsing tool calls with thinking - assert_msg_equals( - message_assist_call_thoughts, - test_chat_parse( - "I'm\nthinking<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, {", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GRANITE, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test template generation for regular content - test_templates(tmpls.get(), end_tokens, message_assist, tools, - "Hello, world!\nWhat's up?", - /* expect_grammar_triggered= */ false); - // TODO @ngxson : generic tool call should be removed in the future -#if 0 - // Test template generation for tool calls - test_templates(tmpls.get(), end_tokens, message_assist_call_id, tools, - "{\n" - " \"tool_calls\": [\n" - " {\n" - " \"name\": \"special_function\",\n" - " \"arguments\": {\n" - " \"arg1\": 1\n" - " },\n" - " \"id\": \"123456789\"\n" - " }\n" - " ],\n" - " \"content\": \"\"\n" - "}", - /* expect_grammar_triggered= */ false - ); -#endif - } - { - auto tmpls = read_templates("models/templates/openai-gpt-oss-120b.jinja"); - std::vector end_tokens{ "<|return|>", "<|call|>" }; - - assert_equals(COMMON_CHAT_FORMAT_GPT_OSS, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_GPT_OSS, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - assert_msg_equals(simple_assist_msg("", "I'm\nthink"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthink", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("", "I'm\nthinking"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>commentary to=functions.special_function<|message|>{\"arg1", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>analysis to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>commentary<|message|>Hello, world!\nWhat's up?", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": 1}"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>commentary<|message|>Hello, world!\nWhat's up?<|end|>" - "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - - // Test parse_tool_calls == false - assert_msg_equals( - simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ false, - })); - assert_msg_equals( - simple_assist_msg("", "I'm\nthinking"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>commentary to=functions.special_function<|message|>{\"arg1", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ false, - })); - assert_msg_equals( - simple_assist_msg("", "I'm\nthinking"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ false, - })); - - // Test reasoning formats - assert_msg_equals( - simple_assist_msg( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, - })); - - assert_msg_equals( - simple_assist_msg( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .reasoning_in_content = */ true, - })); - - // Test tool calling in role header - assert_msg_equals(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"), - test_chat_parse( - " to=functions.special_function<|channel|>commentary <|constrain|>json<|message|>{\"arg1\": 1}", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"), - test_chat_parse( - " to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"), - test_chat_parse( - "<|channel|>analysis<|message|>I'm\nthinking<|end|>" - "<|start|>assistant to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - })); - } - { - // Seed-OSS format tests - auto tmpls = read_templates("models/templates/ByteDance-Seed-OSS.jinja"); - std::vector end_tokens{ "" }; - - assert_equals(COMMON_CHAT_FORMAT_SEED_OSS, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_SEED_OSS, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - - // Test simple reasoning content - assert_msg_equals( - simple_assist_msg("Hello, world!", "I'm thinking about the answer"), - test_chat_parse( - "I'm thinking about the answerHello, world!", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_SEED_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test budget reflection tags - common_chat_msg msg_budget_reflect; - msg_budget_reflect.role = "assistant"; - msg_budget_reflect.content = "Token usage: 45/1000\nI should continue thinking to find the best solution.I need to calculate this step by step."; - msg_budget_reflect.reasoning_content = "Token usage: 45/1000\nI should continue thinking to find the best solution."; - assert_msg_equals( - msg_budget_reflect, - test_chat_parse( - "Token usage: 45/1000\nI should continue thinking to find the best solution." - "Token usage: 45/1000\nI should continue thinking to find the best solution." - "I need to calculate this step by step.", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_SEED_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test tool calls with Seed-OSS format - common_chat_msg msg_tool_call; - msg_tool_call.role = "assistant"; - msg_tool_call.tool_calls.push_back({"calculate_sum", "{\"numbers\": [1, 2, 3]}", ""}); - assert_msg_equals( - msg_tool_call, - test_chat_parse( - "\n" - "\n" - "[1, 2, 3]\n" - "\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_SEED_OSS})); - - // Test reasoning + tool call combination - common_chat_msg msg_reasoning_tool; - msg_reasoning_tool.role = "assistant"; - msg_reasoning_tool.content = ""; - msg_reasoning_tool.reasoning_content = "I need to calculate the sum of these numbers"; - msg_reasoning_tool.tool_calls.push_back({"calculate_sum", "{\"numbers\": [1, 2, 3]}", ""}); - assert_msg_equals( - msg_reasoning_tool, - test_chat_parse( - "I need to calculate the sum of these numbers" - "\n" - "\n" - "[1, 2, 3]\n" - "\n" - "", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_SEED_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test deltas: the number of tool calls in partial parses should never decrease - std::string tool_msg = "\n" - "\n" - "[1, 2, 3]\n" - ""; - std::size_t previousToolCalls = 0; - for (std::size_t i = std::string("").length(); i < tool_msg.length() - 1; i++) { - auto partial = tool_msg.substr(0, i); - auto partial_res = test_chat_parse(partial, true, { COMMON_CHAT_FORMAT_SEED_OSS, COMMON_REASONING_FORMAT_DEEPSEEK }); - if (partial_res.tool_calls.size() < previousToolCalls) { - throw std::runtime_error("Tool call size decreased on partial: " + partial + " from " + std::to_string(previousToolCalls) + " to " + std::to_string(partial_res.tool_calls.size())); - } - previousToolCalls = partial_res.tool_calls.size(); - } - - // Test multiple parameters in tool call - common_chat_msg msg_multi_param; - msg_multi_param.role = "assistant"; - msg_multi_param.tool_calls.push_back({"process_data", "{\"input\": \"test\", \"format\": \"json\"}", ""}); - assert_msg_equals( - msg_multi_param, - test_chat_parse( - "\n" - "\n" - "test\n" - "json\n" - "\n" - "", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_SEED_OSS})); - - // Test partial parsing for incomplete tool call - don't actually add the call until parsing parameters is done - assert_msg_equals( - simple_assist_msg("", "", "calculate_sum", "{\"numbers\":"), - test_chat_parse( - "\n" - "\n" - "[1,\n", - /* is_partial= */ true, - {COMMON_CHAT_FORMAT_SEED_OSS})); - - // Test incomplete reasoning tag - assert_msg_equals( - simple_assist_msg("", "I was thinking"), - test_chat_parse( - "I was thinking", - /* is_partial= */ true, - { - /* .format = */ COMMON_CHAT_FORMAT_SEED_OSS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test content without reasoning - assert_msg_equals( - simple_assist_msg("This is a simple response without reasoning."), - test_chat_parse( - "This is a simple response without reasoning.", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_SEED_OSS})); - } - { - auto tmpls = read_templates("models/templates/NVIDIA-Nemotron-Nano-v2.jinja"); - std::vector end_tokens{ "" }; - - assert_equals(COMMON_CHAT_FORMAT_NEMOTRON_V2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_NEMOTRON_V2, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - // Test parsing regular content - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_NEMOTRON_V2})); - - // Test parsing content with thinking - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_NEMOTRON_V2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test parsing tool calls - assert_msg_equals(message_assist_call, - test_chat_parse( - "[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_NEMOTRON_V2})); - - // Test parsing tool calls with thinking - assert_msg_equals(message_assist_call_thoughts, - test_chat_parse( - "I'm\nthinking[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_NEMOTRON_V2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - })); - - // Test tool calls with extra content - assert_msg_equals(message_assist_call_content, - test_chat_parse( - "[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_NEMOTRON_V2} - )); - - // Test tool calls with extra content AND thinking - assert_msg_equals(message_assist_call_thoughts_content, - test_chat_parse( - "I'm\nthinking[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]Hello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_NEMOTRON_V2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - })); - - // Test template generation for regular content - test_templates(tmpls.get(), end_tokens, message_assist, tools, - "Hello, world!\nWhat's up?\n", - /* expect_grammar_triggered= */ false); - - // Test template generation for tool calls - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]", - /* expect_grammar_triggered= */ true - ); - } - { - auto tmpls = read_templates("models/templates/deepseek-ai-DeepSeek-V3.1.jinja"); - std::vector end_tokens{ "<｜end▁of▁sentence｜>" }; - - for (const auto & inputs : { inputs_no_tools, inputs_tools }) { - auto params = common_chat_templates_apply(tmpls.get(), inputs); - assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, params.format); - assert_equals(true, params.thinking_forced_open); - } - - test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - test_templates(tmpls.get(), end_tokens, message_assist_thoughts, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); - assert_msg_equals( - simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"), - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - })); - // variant: thinking forced open, reasoning_format none - assert_msg_equals( - simple_assist_msg("REASONINGok", ""), - test_chat_parse( - "REASONINGok", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - })); - // variant: happy path for when it works as the model card says it should - assert_msg_equals( - simple_assist_msg("", "", "get_time", "{\"city\":\"Tokyo\"}"), - test_chat_parse( - "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ true, - })); - // variant: simple + thinking open - assert_msg_equals( - simple_assist_msg("", "REASONING", "get_time", "{\"city\":\"Tokyo\"}"), - test_chat_parse( - "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - })); - // variant: simple + multiple tool calls - common_chat_msg message_assist_multiple_calls; - message_assist_multiple_calls.role = "assistant"; - message_assist_multiple_calls.content = "CONTENT"; - message_assist_multiple_calls.tool_calls.push_back({"get_time", "{\"city\":\"Paris\"}", ""}); - message_assist_multiple_calls.tool_calls.push_back({"get_weather", "{\"city\":\"Paris\"}", ""}); - assert_msg_equals( - message_assist_multiple_calls, - test_chat_parse( - "CONTENT<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Paris\"}<｜tool▁call▁end｜><｜tool▁call▁begin｜>get_weather<｜tool▁sep｜>{\"city\": \"Paris\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ true, - })); - // variant: thinking forced open + tool call in reasoning content - assert_msg_equals( - simple_assist_msg("", "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time2<｜tool▁sep｜>{\"city\": \"Tokyo2\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>REASONING", "get_time", "{\"city\":\"Tokyo\"}"), - test_chat_parse( - "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time2<｜tool▁sep｜>{\"city\": \"Tokyo2\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - })); - // variant: thinking forced open + tool call in reasoning content + no closing think + not partial - // This is a bit of a fine tuning issue on the model's part IMO. It really should not be attempting - // to make tool calls in reasoning content according to the model card, but it does sometimes, so - // add the reasoning content as regular content and parse the tool calls. - assert_msg_equals( - simple_assist_msg("REASONING", "", "get_time", "{\"city\":\"Tokyo\"}"), - test_chat_parse( - "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - })); - // variant: thinking forced open + tool call in reasoning content + no closing think + partial - assert_msg_equals( - simple_assist_msg("", "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", "", ""), - test_chat_parse( - "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", - /* is_partial= */ true, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - })); - // variant: thinking not forced open + missing reasoning + no tool calls - assert_msg_equals( - simple_assist_msg("CONTENT", ""), - test_chat_parse( - "CONTENT", - /* is_partial= */ false, - { - COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ true, - })); - } - { - auto tmpls = read_templates("models/templates/Apertus-8B-Instruct.jinja"); - std::vector end_tokens{ "<|assistant_end|>" }; - - assert_equals(COMMON_CHAT_FORMAT_APERTUS, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_APERTUS, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - // Test parsing regular content - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_APERTUS})); - - // Test parsing content with thinking - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "<|inner_prefix|>I'm\nthinking<|inner_suffix|>Hello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_APERTUS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test parsing tool calls - assert_msg_equals(message_assist_call, - test_chat_parse( - "<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_APERTUS})); - - // Test parsing tool calls with thinking - assert_msg_equals(message_assist_call_thoughts, - test_chat_parse( - "<|inner_prefix|>I'm\nthinking<|inner_suffix|><|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_APERTUS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - })); - - // Test tool calls with extra content - assert_msg_equals(message_assist_call_content, - test_chat_parse( - "<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_APERTUS} - )); - - // Test tool calls with extra content AND thinking - assert_msg_equals(message_assist_call_thoughts_content, - test_chat_parse( - "<|inner_prefix|>I'm\nthinking<|inner_suffix|><|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>Hello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_APERTUS, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - })); - - // Test template generation for regular content - test_templates(tmpls.get(), end_tokens, message_assist, tools, - "Hello, world!\nWhat's up?", - /* expect_grammar_triggered= */ false); - - // Test template generation for tool calls - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>", - /* expect_grammar_triggered= */ true - ); - - // TODO @ngxson : not sure why this fails, but not very important for now - // assert_equals(true, common_chat_templates_support_enable_thinking(tmpls.get())); - } - { - // LFM2 format tests - auto tmpls = read_templates("models/templates/llama-cpp-lfm2.jinja"); - std::vector end_tokens{ "<|im_end|>" }; - - auto inputs_tools_forced_json_schema = std::invoke([&]() -> common_chat_templates_inputs { - common_chat_templates_inputs inputs; - inputs.messages = { - std::invoke([&]() -> common_chat_msg { - common_chat_msg msg; - msg.role = "system"; - msg.content = "force json schema.\n"; - return msg; - }), - message_user, - }; - inputs.tools = {special_function_tool}; - return inputs; - }); - - { - auto params = common_chat_templates_apply(tmpls.get(), inputs_no_tools); - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, params.format); - assert_equals(false, params.grammar_lazy); - assert_equals(std::string(R"(<|im_start|>user -Hey there!<|im_end|> -<|im_start|>assistant -)"), params.prompt); - } - - { - auto params = common_chat_templates_apply(tmpls.get(), inputs_tools); - assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, params.format); - assert_equals(false, params.grammar_lazy); - assert_equals(std::string(R"(<|im_start|>system -List of tools: <|tool_list_start|>[{"type": "function", "function": {"name": "special_function", "description": "I'm special", "parameters": {"type": "object", "properties": {"arg1": {"type": "integer", "description": "The arg."}}, "required": ["arg1"]}}}]<|tool_list_end|><|im_end|> -<|im_start|>user -Hey there!<|im_end|> -<|im_start|>assistant -)"), params.prompt); - assert_equals(true, params.grammar.empty()); - } - - { - auto params = common_chat_templates_apply(tmpls.get(), inputs_tools_forced_json_schema); - assert_equals(COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS, params.format); - assert_equals(true, params.grammar_lazy); - assert_equals(std::string(R"(<|im_start|>system -List of tools: <|tool_list_start|>[{"type": "function", "function": {"name": "special_function", "description": "I'm special", "parameters": {"type": "object", "properties": {"arg1": {"type": "integer", "description": "The arg."}}, "required": ["arg1"]}}}]<|tool_list_end|><|im_end|> -<|im_start|>user -Hey there!<|im_end|> -<|im_start|>assistant -)"), params.prompt); - assert_equals(false, params.grammar.empty()); - } - - // Test parsing regular content - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); - - // Test single tool call with JSON format - common_chat_msg msg_single_tool_call; - msg_single_tool_call.role = "assistant"; - msg_single_tool_call.tool_calls.push_back({"special_function", "{\"arg1\":1}", ""}); - assert_msg_equals( - msg_single_tool_call, - test_chat_parse( - "<|tool_call_start|>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]<|tool_call_end|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); - - // Test tool call with string argument - common_chat_msg msg_tool_call_string; - msg_tool_call_string.role = "assistant"; - msg_tool_call_string.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""}); - assert_msg_equals( - msg_tool_call_string, - test_chat_parse( - "<|tool_call_start|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"Paris\"}}]<|tool_call_end|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); - - // Test tool call with multiple arguments - common_chat_msg msg_multi_args; - msg_multi_args.role = "assistant"; - msg_multi_args.tool_calls.push_back({"calculate", "{\"x\":10,\"y\":20,\"operation\":\"add\"}", ""}); - assert_msg_equals( - msg_multi_args, - test_chat_parse( - "<|tool_call_start|>[{\"name\": \"calculate\", \"arguments\": {\"x\": 10, \"y\": 20, \"operation\": \"add\"}}]<|tool_call_end|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); - - // Test multiple tool calls in single array - common_chat_msg msg_multiple_tools; - msg_multiple_tools.role = "assistant"; - msg_multiple_tools.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""}); - msg_multiple_tools.tool_calls.push_back({"get_time", "{\"timezone\":\"UTC\"}", ""}); - assert_msg_equals( - msg_multiple_tools, - test_chat_parse( - "<|tool_call_start|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"Paris\"}}, {\"name\": \"get_time\", \"arguments\": {\"timezone\": \"UTC\"}}]<|tool_call_end|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); - - // Test tool call with content before - common_chat_msg msg_content_before_tool; - msg_content_before_tool.role = "assistant"; - msg_content_before_tool.content = "Let me check the weather for you."; - msg_content_before_tool.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""}); - assert_msg_equals( - msg_content_before_tool, - test_chat_parse( - "Let me check the weather for you.<|tool_call_start|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"Paris\"}}]<|tool_call_end|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); - - // Test tool call with content after - common_chat_msg msg_content_after_tool; - msg_content_after_tool.role = "assistant"; - msg_content_after_tool.content = "Here's the result."; - msg_content_after_tool.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""}); - assert_msg_equals( - msg_content_after_tool, - test_chat_parse( - "<|tool_call_start|>[{\"name\": \"get_weather\", \"arguments\": {\"location\": \"Paris\"}}]<|tool_call_end|>Here's the result.", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); - - // Test tool call with newlines (common in LLM output) - common_chat_msg msg_tool_call_newlines; - msg_tool_call_newlines.role = "assistant"; - msg_tool_call_newlines.tool_calls.push_back({"get_current_time", "{\"location\":\"Paris\"}", ""}); - assert_msg_equals( - msg_tool_call_newlines, - test_chat_parse( - "<|tool_call_start|>[{\n \"name\": \"get_current_time\",\n \"arguments\": {\n \"location\": \"Paris\"\n }\n}]<|tool_call_end|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); - - // Note: LFM2 uses JSON format for tool calls: [{"name": "...", "arguments": {...}}] - // Unlike other formats, LFM2 template does not render tool calls in conversation history, - // so we don't use test_templates() for tool call generation. Instead, the parsing tests - // above verify edge cases and format variations for the tool call output format. - } - - { - auto tmpls = read_templates("models/templates/MiniMax-M2.jinja"); - std::vector end_tokens{ "[e~[" }; - - assert_equals(COMMON_CHAT_FORMAT_MINIMAX_M2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_MINIMAX_M2, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - // Test parsing regular content - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_MINIMAX_M2})); - - // Test parsing content with thinking - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test parsing tool calls - assert_msg_equals(message_assist_call, - test_chat_parse( - "1", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_MINIMAX_M2})); - - // Test parsing tool calls with thinking - assert_msg_equals(message_assist_call_thoughts, - test_chat_parse( - "I'm\nthinking1", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - })); - - // Test tool calls with extra content - assert_msg_equals(message_assist_call_content, - test_chat_parse( - "1Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_MINIMAX_M2} - )); - - // Test tool calls with extra content AND thinking - assert_msg_equals(message_assist_call_thoughts_content, - test_chat_parse( - "I'm\nthinking1Hello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - })); - - // Test streaming - test_parser_with_streaming(message_assist_call_thoughts_content, - "I'm\nthinking\nHello, world!\nWhat's up?\n1", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming(message_assist_call_thoughts_unparsed, - "I'm\nthinking\n\n1", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE - }); }); - test_parser_with_streaming(message_assist_call_thoughts_content, - "I'm\nthinking\n\n\nHello, world!\nWhat's up?\n\n\n\n1\n\n\n", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming(message_assist_call_withopt, - "\n\n1\n2\n\n", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE - }); }); - - // Test template generation for regular content - test_templates(tmpls.get(), end_tokens, message_assist, tools, - "Hello, world!\nWhat's up?", - /* expect_grammar_triggered= */ false); - - // Test template generation for tool calls - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "\n\n1\n\n", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ true, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_NONE, - /* ignore_whitespace_differences= */ true - ); - - // Test template generation for tools with optional parameters - test_templates(tmpls.get(), end_tokens, message_assist_call_noopt, tools, - "\n\n1\n\n", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ true, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_NONE, - /* ignore_whitespace_differences= */ true - ); - test_templates(tmpls.get(), end_tokens, message_assist_call_withopt, tools, - "\n\n1\n2\n\n", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ true, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_NONE, - /* ignore_whitespace_differences= */ true - ); - } - - { - auto tmpls = read_templates("models/templates/GLM-4.6.jinja"); - std::vector end_tokens{ "<|assistant|>", "<|observation|>" }; - - assert_equals(COMMON_CHAT_FORMAT_GLM_4_5, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_GLM_4_5, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - // Test parsing regular content - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_GLM_4_5})); - - // Test parsing content with thinking - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "\nI'm\nthinking\nHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - }), true); - - // Test parsing tool calls - assert_msg_equals(message_assist_call, - test_chat_parse( - "\nspecial_function\narg1\n1\n", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_GLM_4_5}), true); - - // Test parsing tool calls with thinking - assert_msg_equals(message_assist_call_thoughts, - test_chat_parse( - "\nI'm\nthinking\nspecial_function\narg1\n1\n", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }), true); - - // Test tool calls with extra content - assert_msg_equals(message_assist_call_content, - test_chat_parse( - "\nspecial_function\narg1\n1\nHello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_GLM_4_5} - ), true); - - // Test tool calls with extra content AND thinking - assert_msg_equals(message_assist_call_thoughts_content, - test_chat_parse( - "\nI'm\nthinkingHello, world!\nWhat's up?\nspecial_function\narg1\n1\n", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }), true); - - // Test streaming - test_parser_with_streaming(message_assist_call_thoughts_content, - "\nI'm\nthinkingHello, world!\nWhat's up?\nspecial_function\narg1\n1\n", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming(message_assist_call_thoughts_unparsed, - "\nI'm\nthinking\n\nspecial_function\narg1\n1\n", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE - }); }); - test_parser_with_streaming(message_assist_call_withopt, - "\n\nspecial_function_with_opt\narg1\n1\narg2\n2\n\n", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming( - simple_assist_msg("", "", "complex_function", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"), - "complex_function\n" - "name\n" - "John Doe\n" - "age\n" - "30\n" - "active\n" - "true\n" - "score\n" - "95.5\n" - "", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_GLM_4_5}); }); - test_parser_with_streaming( - simple_assist_msg("", "", "web_search", "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}"), - "web_search\n" - "query\n" - "\"From Zero\" Linkin Park album tracklist complete songs\n" - "limit\n" - "3\n" - "type\n" - "text\n" - "", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_GLM_4_5}); }); - - // Test interleaved thinking - test_parser_with_streaming(simple_assist_msg("Hello, world!\n\nWhat's up?", "I'm\nthinkingThinking2", "special_function", "{\"arg1\": 1}"), - "\nI'm\nthinkingHello, world!\nThinking2What's up?\nspecial_function\narg1\n1\n", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming(simple_assist_msg("\nI'm\nthinkingHello, world!\nThinking2What's up?", "", "special_function", "{\"arg1\": 1}"), - "\nI'm\nthinkingHello, world!\nThinking2What's up?\nspecial_function\narg1\n1\n", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_GLM_4_5, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE - }); }); - - // Test template generation for regular content - test_templates(tmpls.get(), end_tokens, message_assist, tools, - "\n\nHello, world!\nWhat's up?", - /* expect_grammar_triggered= */ false); - - // Test template generation for tool calls - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "\n\nspecial_function\narg1\n1\n\n", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ false, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* ignore_whitespace_differences= */ true - ); - - // Test template generation for tools with optional parameters - test_templates(tmpls.get(), end_tokens, message_assist_call_noopt, tools, - "\n\nspecial_function_with_opt\narg1\n1\n\n", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ false, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* ignore_whitespace_differences= */ true - ); - test_templates(tmpls.get(), end_tokens, message_assist_call_withopt, tools, - "\n\nspecial_function_with_opt\narg1\n1\narg2\n2\n\n", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ false, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* ignore_whitespace_differences= */ true - ); - } - - { - auto tmpls = read_templates("models/templates/Kimi-K2-Thinking.jinja"); - std::vector end_tokens{ "<|im_end|>" }; - - assert_equals(COMMON_CHAT_FORMAT_KIMI_K2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format); - assert_equals(COMMON_CHAT_FORMAT_KIMI_K2, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - // Test parsing regular content - assert_msg_equals(message_assist, - test_chat_parse( - "Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_KIMI_K2})); - - // Test parsing content with thinking - assert_msg_equals(message_assist_thoughts, - test_chat_parse( - "I'm\nthinkingHello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - })); - - // Test parsing tool calls - assert_msg_equals(message_assist_call, - test_chat_parse( - "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_KIMI_K2})); - - // Test parsing tool calls with thinking - assert_msg_equals(message_assist_call_thoughts, - test_chat_parse( - "I'm\nthinking<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - })); - - // Test tool calls with extra content - assert_msg_equals(message_assist_call_content, - test_chat_parse( - "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>Hello, world!\nWhat's up?", - /* is_partial= */ false, - {COMMON_CHAT_FORMAT_KIMI_K2} - )); - - // Test tool calls with extra content AND thinking - assert_msg_equals(message_assist_call_thoughts_content, - test_chat_parse( - "I'm\nthinking<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>Hello, world!\nWhat's up?", - /* is_partial= */ false, - { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - })); - - // Test streaming - test_parser_with_streaming(message_assist_call_thoughts_content, - "I'm\nthinking\nHello, world!\nWhat's up?\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming(message_assist_call_thoughts_unparsed, - "I'm\nthinking\n\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE - }); }); - test_parser_with_streaming(message_assist_call_thoughts_content, - "I'm\nthinking\n\n\nHello, world!\nWhat's up?\n\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>\n", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming(message_assist_call_withopt, - "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function_with_opt:0<|tool_call_argument_begin|>{\"arg1\": 1, \"arg2\": 2}<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE - }); }); - test_parser_with_streaming(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": \"123456\"}"), - "I'm\nthinkingHello, world!\nWhat's up?\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": \"123456\"}<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": [1, 2, \"345\", 6]}"), - "I'm\nthinkingHello, world!\nWhat's up?\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": [1, 2, \"345\", 6]}<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": {\"12\": 34, \"5\": [67, 8], \"9\": \"10\"}}"), - "I'm\nthinkingHello, world!\nWhat's up?\n<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": {\"12\": 34, \"5\": [67, 8], \"9\": \"10\"}}<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming( - simple_assist_msg("", "", "complex_function", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"), - "<|tool_calls_section_begin|><|tool_call_begin|>functions.complex_function:0<|tool_call_argument_begin|>" - "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}" - "<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); }); - test_parser_with_streaming( - simple_assist_msg("", "", "web_search", "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}"), - "<|tool_calls_section_begin|><|tool_call_begin|>functions.web_search:0<|tool_call_argument_begin|>" - "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}" - "<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); }); - test_parser_with_streaming( - simple_assist_msg("", "", "read_file", "{\"args\": [{\"path\": \"src/providers/ThemeProvider.tsx\"}, {\"path\": \"src/components/Header.tsx\"}, {\"path\": \"src/components/ThemeToggle.tsx\"}, {\"path\": \"src/app/globals.css\"}, {\"path\": \"src/app/layout.tsx\"}]}"), - "<|tool_calls_section_begin|><|tool_call_begin|>functions.read_file:0<|tool_call_argument_begin|>" - "{\"args\": [{\"path\": \"src/providers/ThemeProvider.tsx\"}, {\"path\": \"src/components/Header.tsx\"}, {\"path\": \"src/components/ThemeToggle.tsx\"}, {\"path\": \"src/app/globals.css\"}, {\"path\": \"src/app/layout.tsx\"}]}" - "<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); }); - test_parser_with_streaming( - simple_assist_msg( - "Let me start by examining the relevant files to understand the current implementation.", "", - "read_file", - "{\"files\": [{\"path\": \"src/app/Partners.tsx\", \"line_ranges\": [\"1-100\"]}]}"), - "Let me start by examining the relevant files to understand the current implementation." - "<|tool_calls_section_begin|><|tool_call_begin|>functions.read_file:0<|tool_call_argument_begin|>" - "{\"files\":[{\"path\":\"src/app/Partners.tsx\",\"line_ranges\":[\"1-100\"]}]}" - "<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); }); - auto multi_tool_msg = simple_assist_msg("Let me call multiple tools.", "I'm thinking."); - multi_tool_msg.tool_calls.push_back({ "read_file", "{\"files\": [{\"path\": \"src/app/Partners.tsx\", \"line_ranges\": [\"1-100\"]}]}", "" }); - multi_tool_msg.tool_calls.push_back({ "web_search", "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}", "" }); - multi_tool_msg.tool_calls.push_back({ "complex_function", "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}", "" }); - multi_tool_msg.tool_calls.push_back({ "emoji_function", "{\"message\":\"Hello! 👋 🌟 🚀 Testing emojis: 😀😃😄😁 and symbols: ∑∏∆∇\"}", "" }); - test_parser_with_streaming(multi_tool_msg, - "I'm thinking.Let me call multiple tools." - "<|tool_calls_section_begin|>" - "<|tool_call_begin|>functions.read_file:0<|tool_call_argument_begin|>" - "{\"files\":[{\"path\":\"src/app/Partners.tsx\",\"line_ranges\":[\"1-100\"]}]}" - "<|tool_call_end|>" - "<|tool_call_begin|>functions.web_search:1<|tool_call_argument_begin|>" - "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}" - "<|tool_call_end|>" - "<|tool_call_begin|>functions.complex_function:2<|tool_call_argument_begin|>" - "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}" - "<|tool_call_end|>" - "<|tool_call_begin|>functions.emoji_function:3<|tool_call_argument_begin|>" - "{\"message\":\"Hello! 👋 🌟 🚀 Testing emojis: 😀😃😄😁 and symbols: ∑∏∆∇\"}" - "<|tool_call_end|>" - "<|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - COMMON_CHAT_FORMAT_KIMI_K2, - COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming( - simple_assist_msg("", "I'm thinking", "complex_function_in_think", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"), - "I'm thinking<|tool_calls_section_begin|><|tool_call_begin|>functions.complex_function_in_think:0<|tool_call_argument_begin|>" - "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}" - "<|tool_call_end|><|tool_calls_section_end|>", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - COMMON_CHAT_FORMAT_KIMI_K2, - COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - test_parser_with_streaming( - simple_assist_msg("Hello", "I'm thinkingI'm still thinking", "complex_function_in_think", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}"), - "I'm thinking<|tool_calls_section_begin|><|tool_call_begin|>functions.complex_function_in_think:0<|tool_call_argument_begin|>" - "{\"name\": \"John Doe\", \"age\": 30, \"active\": true, \"score\": 95.5}" - "<|tool_call_end|><|tool_calls_section_end|>I'm still thinkingHello", - [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { - COMMON_CHAT_FORMAT_KIMI_K2, - COMMON_REASONING_FORMAT_DEEPSEEK - }); }); - - // Test template rendering - common_chat_templates_inputs conversation_with_tools = inputs_tools; - conversation_with_tools.messages.push_back(simple_assist_msg("Let's do it", "Think first", "complex_function", "{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}")); - conversation_with_tools.messages.push_back({ - "tool", - "Tool response 1", - /* .content_parts = */ {}, - /* .tool_calls = */ {}, - /* .reasoning_content = */ "", - /* .tool_name = */ "complex_function", - /* .tool_call_id = */ "", - }); - conversation_with_tools.messages.push_back(simple_assist_msg("Continue", "Think next", "web_search", "{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}")); - conversation_with_tools.messages.push_back({ - "tool", - "Tool response 2", - /* .content_parts = */ {}, - /* .tool_calls = */ {}, - /* .reasoning_content = */ "", - /* .tool_name = */ "web_search", - /* .tool_call_id = */ "", - }); - conversation_with_tools.messages.push_back(simple_assist_msg("CC", "Think last", "read_file", "{\"args\": [{\"path\": \"src/providers/ThemeProvider.tsx\"}, {\"path\": \"src/components/Header.tsx\"}, {\"path\": \"src/components/ThemeToggle.tsx\"}, {\"path\": \"src/app/globals.css\"}, {\"path\": \"src/app/layout.tsx\"}]}")); - conversation_with_tools.messages.push_back({ - "tool", - "Tool response 3", - /* .content_parts = */ {}, - /* .tool_calls = */ {}, - /* .reasoning_content = */ "", - /* .tool_name = */ "read_file", - /* .tool_call_id = */ "", - }); - assert_equals(common_chat_templates_apply(tmpls.get(), conversation_with_tools).prompt, std::string("<|im_system|>tool_declare<|im_middle|>[{\"type\": \"function\", \"function\": {\"name\": \"special_function\", \"description\": \"I'm special\", \"parameters\": {\"type\": \"object\", \"properties\": {\"arg1\": {\"type\": \"integer\", \"description\": \"The arg.\"}}, \"required\": [\"arg1\"]}}}]<|im_end|><|im_system|>system<|im_middle|>You are Kimi, an AI assistant created by Moonshot AI.<|im_end|><|im_user|>user<|im_middle|>Hey there!<|im_end|><|im_assistant|>assistant<|im_middle|>Think firstLet's do it<|tool_calls_section_begin|><|tool_call_begin|>functions.complex_function:0<|tool_call_argument_begin|>{\"name\":\"John Doe\",\"age\":30,\"active\":true,\"score\":95.5}<|tool_call_end|><|tool_calls_section_end|><|im_end|><|im_system|>complex_function<|im_middle|>## Return of functions.complex_function:0\nTool response 1<|im_end|><|im_assistant|>assistant<|im_middle|>Think nextContinue<|tool_calls_section_begin|><|tool_call_begin|>functions.web_search:1<|tool_call_argument_begin|>{\"query\":\"\\\"From Zero\\\" Linkin Park album tracklist complete songs\",\"limit\":3,\"type\":\"text\"}<|tool_call_end|><|tool_calls_section_end|><|im_end|><|im_system|>web_search<|im_middle|>## Return of functions.web_search:1\nTool response 2<|im_end|><|im_assistant|>assistant<|im_middle|>Think lastCC<|tool_calls_section_begin|><|tool_call_begin|>functions.read_file:2<|tool_call_argument_begin|>{\"args\": [{\"path\": \"src/providers/ThemeProvider.tsx\"}, {\"path\": \"src/components/Header.tsx\"}, {\"path\": \"src/components/ThemeToggle.tsx\"}, {\"path\": \"src/app/globals.css\"}, {\"path\": \"src/app/layout.tsx\"}]}<|tool_call_end|><|tool_calls_section_end|><|im_end|><|im_system|>read_file<|im_middle|>## Return of functions.read_file:2\nTool response 3<|im_end|><|im_assistant|>assistant<|im_middle|>")); - - // Test template generation for regular content - test_templates(tmpls.get(), end_tokens, message_assist, tools, - "Hello, world!\nWhat's up?", - /* expect_grammar_triggered= */ false); - - // Test template generation for tool calls - test_templates(tmpls.get(), end_tokens, message_assist_call, tools, - "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ true, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* ignore_whitespace_differences= */ true - ); - - // Test template generation for tools with optional parameters - test_templates(tmpls.get(), end_tokens, message_assist_call_noopt, tools, - "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function_with_opt:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ true, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* ignore_whitespace_differences= */ true - ); - test_templates(tmpls.get(), end_tokens, message_assist_call_withopt, tools, - "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function_with_opt:0<|tool_call_argument_begin|>{\"arg1\": 1, \"arg2\": 2}<|tool_call_end|><|tool_calls_section_end|>", - /* expect_grammar_triggered= */ true, - /* test_grammar_if_triggered= */ true, - /* common_reasoning_format= */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* ignore_whitespace_differences= */ true - ); - } - - { - // Step-3.5-Flash template: uses same XML output format as Qwen3-Coder and Nemotron v3, - // but with support. Routes to the Nemotron v3 PEG parser for streaming and - // schema-aware parameter parsing. - auto tmpls = read_templates("models/templates/stepfun-ai-Step-3.5-Flash.jinja"); - assert_equals(COMMON_CHAT_FORMAT_PEG_CONSTRUCTED, common_chat_templates_apply(tmpls.get(), inputs_tools).format); - - // Grammar and PEG parser should be generated with thinking_forced_open - { - common_chat_templates_inputs inputs; - inputs.messages = { message_user }; - inputs.tools = { special_function_tool }; - auto params = common_chat_templates_apply(tmpls.get(), inputs); - assert_equals(COMMON_CHAT_FORMAT_PEG_CONSTRUCTED, params.format); - assert_equals(true, params.thinking_forced_open); - assert_equals(false, params.grammar.empty()); - assert_equals(false, params.parser.empty()); - auto grammar = build_grammar(params.grammar); - GGML_ASSERT(grammar && "Failed to build Step-3.5-Flash grammar"); - } - } -} - -static void test_template_output_peg_parsers() { - printf("[%s]\n", __func__); +static void test_template_output_peg_parsers(bool detailed_debug) { + LOG_DBG("%s\n", __func__); // JSON schemas const char * invoice_schema = R"({ @@ -3069,687 +1480,1390 @@ static void test_template_output_peg_parsers() { { // Ministral-3-14B-Reasoning-2512 - auto tmpls = read_templates("models/templates/mistralai-Ministral-3-14B-Reasoning-2512.jinja"); + auto tst = peg_tester("models/templates/mistralai-Ministral-3-14B-Reasoning-2512.jinja", detailed_debug); - // Test basic message - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "Hello, world!\nWhat's up?"; - t.expect = message_assist; - }); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); - // Test basic message and reasoning with reasoning_format = none - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?"; - t.expect.content = "[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?"; - }); + tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?") + .expect_content("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?") + .run(); - // Test basic message and reasoning with reasoning_format = auto - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; + tst.test("[THINK]I'm\nthinking[/THINK]Hello, world!\nWhat's up?") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .expect(message_assist_thoughts) + .run(); - t.expect = message_assist_thoughts; - }); + tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); - // Test tool call - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {special_function_tool}; + tst.test( + "[THINK]I'm\nthinking[/THINK]" + R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call_thoughts) + .run(); - t.expect = message_assist_call; - }); + tst.test(R"([TOOL_CALLS]special_function[ARGS]{"arg1": 1})" + R"([TOOL_CALLS]special_function_with_opt[ARGS]{"arg1": 1, "arg2": 2})") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", {} }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, + }) + .run(); - // Test tool call with reasoning - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "[THINK]I'm\nthinking[/THINK]" - R"([TOOL_CALLS]special_function[ARGS]{"arg1":1})"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {special_function_tool}; - - t.expect = message_assist_call_thoughts; - }); - - // Test parallel tool calls - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = R"([TOOL_CALLS]special_function[ARGS]{"arg1": 1})" - R"([TOOL_CALLS]special_function_with_opt[ARGS]{"arg1": 1, "arg2": 2})"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.parallel_tool_calls = true; - t.params.tools = {special_function_tool, special_function_tool_with_optional_param}; - - t.expect.tool_calls = {{ - /* .name = */ "special_function", - /* .arguments = */ R"({"arg1": 1})", - /* .id = */ {}, - }, { - /* .name = */ "special_function_with_opt", - /* .arguments = */ R"({"arg1": 1, "arg2": 2})", - /* .id = */ {}, - }}; - }); - - // Test response format - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "[THINK]I need to output the invoice details in JSON[/THINK]" - "```json\n" - R"({"amount": 123.45, "date": "2025-12-03"})" - "\n```"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.json_schema = invoice_schema; - - t.expect.reasoning_content = "I need to output the invoice details in JSON"; - t.expect.content =R"({"amount": 123.45, "date": "2025-12-03"})"; - }); - } - - { - // Qwen3-Coder - auto tmpls = read_templates("models/templates/Qwen3-Coder.jinja"); - - // Test basic message - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "Hello, world!\nWhat's up?"; - t.expect = message_assist; - }); - - // Test tool call - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - ""; - t.params.tools = {special_function_tool}; - t.expect = message_assist_call; - }); - - // Test parallel tool calls - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - "\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - "2\n" - "\n" - "\n" - ""; - t.params.parallel_tool_calls = true; - t.params.tools = {special_function_tool, special_function_tool_with_optional_param}; - - t.expect.tool_calls = {{ - /* .name = */ "special_function", - /* .arguments = */ R"({"arg1": 1})", - /* .id = */ {}, - }, { - /* .name = */ "special_function_with_opt", - /* .arguments = */ R"({"arg1": 1, "arg2": 2})", - /* .id = */ {}, - }}; - }); - - // Test tool call with string parameter - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "def hello():\n" - " print(\"Hello, world!\")\n" - "\n" - "hello()\n" - "\n" - "\n" - ""; - t.params.tools = {python_tool}; - - t.expect.tool_calls = {{ - /* .name = */ "python", - /* .arguments = */ "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", - /* .id = */ {}, - }}; - }); - - // Test tool call with JSON parameter - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "[{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]\n" - "\n" - "\n" - ""; - t.params.tools = {todo_list_tool}; - - t.expect.tool_calls = {{ - /* .name = */ "todo_list", - /* .arguments = */ "{\"todos\": [{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]}", - /* .id = */ {}, - }}; - }); - - // Test tool call with string parameter and no closing tag - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "def hello():\n" - " print(\"Hello, world!\")\n" - "\n" - "hello()\n" - "\n" - ""; - t.params.tools = {python_tool}; - - t.expect.tool_calls = {{ - /* .name = */ "python", - /* .arguments = */ "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", - /* .id = */ {}, - }}; - }); - - // Test response format - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = R"({"amount": 123.45, "date": "2025-12-03"})"; - t.params.json_schema = invoice_schema; - - t.expect.content = R"({"amount": 123.45, "date": "2025-12-03"})"; - }); + tst.test( + "[THINK]I need to output the invoice details in JSON[/THINK]" + "```json\n" + R"({"amount": 123.45, "date": "2025-12-03"})" + "\n```") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .json_schema(invoice_schema) + .expect_reasoning("I need to output the invoice details in JSON") + .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})") + .run(); } { // NVIDIA Nemotron-3 Nano - auto tmpls = read_templates("models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja"); + auto tst = peg_tester("models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja", detailed_debug); - // Test basic message - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "Hello, world!\nWhat's up?"; - t.expect = message_assist; - }); + tst.test("Hello, world!\nWhat's up?").enable_thinking(false).expect(message_assist).run(); - // Test basic message and reasoning with reasoning_format = none - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "I'm\nthinking\n\nHello, world!\nWhat's up?"; - t.expect.content = "I'm\nthinking\n\nHello, world!\nWhat's up?"; - }); + tst.test("I'm\nthinking\n\nHello, world!\nWhat's up?") + .enable_thinking(false) + .reasoning_format(COMMON_REASONING_FORMAT_NONE) + .expect_content("I'm\nthinking\n\nHello, world!\nWhat's up?") + .run(); - // Test basic message and reasoning with reasoning_format = auto - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "I'm\nthinking\n\nHello, world!\nWhat's up?"; - t.params.enable_thinking = true; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; + tst.test("I'm\nthinking\n\nHello, world!\nWhat's up?") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .expect(message_assist_thoughts) + .run(); - t.expect = message_assist_thoughts; - }); + tst.test( + "\n" + "\n" + "\n1\n\n" + "\n" + "") + .enable_thinking(false) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); - // Test tool call - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - ""; - t.params.enable_thinking = false; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {special_function_tool}; + tst.test( + "I'm\nthinking\n\n" + "\n" + "\n" + "\n1\n\n" + "\n" + "") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call_thoughts) + .run(); - t.expect = message_assist_call; - }); + tst.test( + "\n" + "\n" + "\n1\n\n" + "\n" + "\n" + "\n" + "\n" + "\n1\n\n" + "\n2\n\n" + "\n" + "") + .enable_thinking(false) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", {} }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, + }) + .run(); - // Test tool call with reasoning - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "I'm\nthinking\n\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - ""; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {special_function_tool}; + tst.test( + "\n" + "\n" + "\n" + "def hello():\n" + " print(\"Hello, world!\")\n" + "\n" + "hello()\n" + "\n" + "\n" + "") + .enable_thinking(false) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ + python_tool + }) + .expect_tool_calls({ + { "python", "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} }, + }) + .run(); - t.expect = message_assist_call_thoughts; - }); - - // Test parallel tool calls - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - "\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - "2\n" - "\n" - "\n" - ""; - t.params.enable_thinking = false; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.parallel_tool_calls = true; - t.params.tools = {special_function_tool, special_function_tool_with_optional_param}; - - t.expect.tool_calls = {{ - /* .name = */ "special_function", - /* .arguments = */ R"({"arg1": 1})", - /* .id = */ {}, - }, { - /* .name = */ "special_function_with_opt", - /* .arguments = */ R"({"arg1": 1, "arg2": 2})", - /* .id = */ {}, - }}; - }); - - // Test tool call with string parameter - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "def hello():\n" - " print(\"Hello, world!\")\n" - "\n" - "hello()\n" - "\n" - "\n" - ""; - t.params.enable_thinking = false; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {python_tool}; - - t.expect.tool_calls = {{ - /* .name = */ "python", - /* .arguments = */ "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", - /* .id = */ {}, - }}; - }); - - // Test tool call with string parameter and no closing tag - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "def hello():\n" - " print(\"Hello, world!\")\n" - "\n" - "hello()\n" - "\n" - ""; - t.params.enable_thinking = false; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {python_tool}; - - t.expect.tool_calls = {{ - /* .name = */ "python", - /* .arguments = */ "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", - /* .id = */ {}, - }}; - }); - - // Test response format - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "I need to output the invoice details in JSON\n" - "\n" - R"({"amount": 123.45, "date": "2025-12-03"})"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.json_schema = invoice_schema; - - t.expect.reasoning_content = "I need to output the invoice details in JSON"; - t.expect.content = R"({"amount": 123.45, "date": "2025-12-03"})"; - }); + tst.test( + "I need to output the invoice details in JSON\n" + "\n" + R"({"amount": 123.45, "date": "2025-12-03"})") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .enable_thinking(true) + .json_schema(invoice_schema) + .expect_reasoning("I need to output the invoice details in JSON") + .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})") + .run(); } { - // Step-3.5-Flash (uses Nemotron v3 PEG parser with thinking_forced_open) - // Unlike Nemotron, Step-3.5-Flash always emits regardless of enable_thinking, - // so all inputs must include a delimiter. - auto tmpls = read_templates("models/templates/stepfun-ai-Step-3.5-Flash.jinja"); + // CohereForAI Command-R 7B (2024-tool_use) + auto tst = peg_tester("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja", detailed_debug); - // Test basic message with reasoning - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "I'm\nthinking\n\nHello, world!\nWhat's up?"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; + tst.test("<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>").expect(message_assist).run(); - t.expect = message_assist_thoughts; - }); + tst.test( + "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" + "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .expect(message_assist_thoughts) + .run(); - // Test basic message without thinking content - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "\nHello, world!\nWhat's up?"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; + tst.test( + "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" + "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>") + .expect(message_assist_thoughts_unparsed_r7b) + .run(); - t.expect = message_assist; - }); + tst.test( + "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" + "<|START_ACTION|>[\n" + " {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n" + "]<|END_ACTION|>") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ special_function_tool }) + .expect(message_assist_thoughts_call_idx) + .run(); - // Test tool call without thinking content - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - ""; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {special_function_tool}; + tst.test( + "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" + "<|START_ACTION|>[\n" + " {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", ") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ special_function_tool }) + .is_partial(true) + .expect(message_assist_thoughts_partial_call) + .run(); - t.expect = message_assist_call; - }); - - // Test tool call with thinking - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "I'm\nthinking\n\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - ""; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {special_function_tool}; - - t.expect = message_assist_call_thoughts; - }); - - // Test parallel tool calls with thinking - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "I'm\nthinking\n\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - "\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - "2\n" - "\n" - "\n" - ""; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.parallel_tool_calls = true; - t.params.tools = {special_function_tool, special_function_tool_with_optional_param}; - - t.expect.reasoning_content = "I'm\nthinking"; - t.expect.tool_calls = {{ - /* .name = */ "special_function", - /* .arguments = */ R"({"arg1": 1})", - /* .id = */ {}, - }, { - /* .name = */ "special_function_with_opt", - /* .arguments = */ R"({"arg1": 1, "arg2": 2})", - /* .id = */ {}, - }}; - }); - - // Test parallel tool calls without thinking content - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - "\n" - "\n" - "\n" - "\n" - "1\n" - "\n" - "\n" - "2\n" - "\n" - "\n" - ""; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.parallel_tool_calls = true; - t.params.tools = {special_function_tool, special_function_tool_with_optional_param}; - - t.expect.tool_calls = {{ - /* .name = */ "special_function", - /* .arguments = */ R"({"arg1": 1})", - /* .id = */ {}, - }, { - /* .name = */ "special_function_with_opt", - /* .arguments = */ R"({"arg1": 1, "arg2": 2})", - /* .id = */ {}, - }}; - }); - - // Test tool call with code string parameter - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "\n" - "def hello():\n" - " print(\"Hello, world!\")\n" - "\n" - "hello()\n" - "\n" - "\n" - ""; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {python_tool}; - - t.expect.tool_calls = {{ - /* .name = */ "python", - /* .arguments = */ "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", - /* .id = */ {}, - }}; - }); - - // Test tool call with string parameter and no closing tag - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "\n" - "\n" - "\n" - "\n" - "def hello():\n" - " print(\"Hello, world!\")\n" - "\n" - "hello()\n" - "\n" - ""; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.tools = {python_tool}; - - t.expect.tool_calls = {{ - /* .name = */ "python", - /* .arguments = */ "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", - /* .id = */ {}, - }}; - }); - - // Test response format (JSON schema with thinking) - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = - "I need to output the invoice details in JSON\n" - "\n" - R"({"amount": 123.45, "date": "2025-12-03"})"; - t.params.reasoning_format = COMMON_REASONING_FORMAT_AUTO; - t.params.json_schema = invoice_schema; - - t.expect.reasoning_content = "I need to output the invoice details in JSON"; - t.expect.content = R"({"amount": 123.45, "date": "2025-12-03"})"; - }); + tst.test( + "<|START_THINKING|><|END_THINKING|>" + "<|START_ACTION|>[\n" + " {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n" + "]<|END_ACTION|>") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ special_function_tool }) + .expect(message_assist_call_idx) + .run(); } { - // Solar-Open-100B - auto tmpls = read_templates("models/templates/upstage-Solar-Open-100B.jinja"); + // Google Gemma 2 2B - does not support tool calling + auto tst = peg_tester("models/templates/google-gemma-2-2b-it.jinja"); - // Test basic message - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|content|>Hello, world!\nWhat's up?"; - t.expect = message_assist; - }); + tst.test("Hello, world!").expect(simple_assist_msg("Hello, world!")).run(); - // Test basic message and reasoning - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|think|>I'm\nthinking<|end|><|begin|>assistant<|content|>Hello, world!\nWhat's up?"; - t.expect = message_assist_thoughts; - }); + tst.test("Line 1\nLine 2\nLine 3").expect(simple_assist_msg("Line 1\nLine 2\nLine 3")).run(); + } - // Test basic message and reasoning_effort = low - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|content|>Hello, world!\nWhat's up?"; - t.params.chat_template_kwargs["reasoning_effort"] = "\"low\""; - t.expect = message_assist; - }); + { + // Qwen-QwQ-32B (reasoning model) + auto tst = peg_tester("models/templates/Qwen-QwQ-32B.jinja"); - // Test tool call - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|tool_calls|>" - "<|tool_call:begin|>123456789" - "<|tool_call:name|>special_function" - "<|tool_call:args|>{\"arg1\":1}" - "<|tool_call:end|>"; + // QwQ always has thinking forced open - input starts after the \n in the prompt + tst.test("Let me think about this...\n\nThe answer is 42.") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .expect(simple_assist_msg("The answer is 42.", "Let me think about this...")) + .run(); - t.params.chat_template_kwargs["reasoning_effort"] = "\"low\""; - t.params.tools = {special_function_tool}; - t.expect = message_assist_call_id; - }); + tst.test("Hello, world!").expect(simple_assist_msg("Hello, world!")).run(); + } + { + // NousResearch-Hermes-2-Pro and Hermes-3 (tool calling models) + auto tst = peg_tester("models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja", detailed_debug); - // Test tool call with reasoning - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|think|>I'm\nthinking<|end|>" - "<|begin|>assistant<|tool_calls|>" - "<|tool_call:begin|>0" - "<|tool_call:name|>special_function" - "<|tool_call:args|>{\"arg1\":1}" - "<|tool_call:end|>"; + tst.test( + "\n" + "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" + "") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); - t.params.tools = {special_function_tool}; - t.expect = message_assist_thoughts_call_idx; - }); + tst.test( + "Hello, world!\nWhat's up?\n" + "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" + "") + .tools({ special_function_tool }) + .expect(message_assist_call_content) + .run(); - // Test tool call with reasoning and tool_choice = required - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|think|>I'm\nthinking<|end|>" - "<|begin|>assistant<|tool_calls|>" - "<|tool_call:begin|>0" - "<|tool_call:name|>special_function" - "<|tool_call:args|>{\"arg1\":1}" - "<|tool_call:end|>"; + // Note: Hermes template doesn't support thinking/reasoning natively + // Note: We only support one tool calling format per template, no alternate formats + } + { + // Test simple content-only template + auto tst = peg_tester("models/templates/google-gemma-2-2b-it.jinja", detailed_debug); - t.params.tools = {special_function_tool}; - t.params.tool_choice = COMMON_CHAT_TOOL_CHOICE_REQUIRED; - t.expect = message_assist_thoughts_call_idx; - }); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + } + { + // IBM Granite (reasoning and tool calling model) + auto tst = peg_tester("models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja", detailed_debug); - // Test tool call without reasoning and tool_choice = required - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|tool_calls|>" - "<|tool_call:begin|>0" - "<|tool_call:name|>special_function" - "<|tool_call:args|>{\"arg1\":1}" - "<|tool_call:end|>"; + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); - t.params.tools = {special_function_tool}; - t.params.tool_choice = COMMON_CHAT_TOOL_CHOICE_REQUIRED; - t.params.chat_template_kwargs["reasoning_effort"] = "\"low\""; - t.expect = message_assist_call_idx; - }); + tst.test("I'm\nthinkingHello, world!\nWhat's up?") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .expect(message_assist_thoughts) + .run(); - // Test parallel tool calls - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|think|>I'm\nthinking<|end|>" - "<|begin|>assistant<|tool_calls|>" - "<|tool_call:begin|>0" - "<|tool_call:name|>special_function" - "<|tool_call:args|>{\"arg1\":1}" - "<|tool_call:end|>" - "<|tool_call:begin|>1" - "<|tool_call:name|>special_function_with_opt" - "<|tool_call:args|>{\"arg1\": 1, \"arg2\": 2}" - "<|tool_call:end|>"; + // TODO: pending support for WRAPPED_WITH_REASONING + // tst.test("I'm\nthinkingHello, world!\nWhat's up?") + // .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + // .expect(message_assist_thoughts) + // .run(); + } - t.params.parallel_tool_calls = true; - t.params.tools = {special_function_tool, special_function_tool_with_optional_param}; + { + // ByteDance-Seed-OSS (reasoning and tool calling model) + auto tst = peg_tester("models/templates/ByteDance-Seed-OSS.jinja", detailed_debug); - t.expect.reasoning_content = "I'm\nthinking"; - t.expect.tool_calls = {{ - /* .name = */ "special_function", - /* .arguments = */ R"({"arg1": 1})", - /* .id = */ "0", - }, { - /* .name = */ "special_function_with_opt", - /* .arguments = */ R"({"arg1": 1, "arg2": 2})", - /* .id = */ "1", - }}; - }); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); - // Test response format - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|think|>I need to output the invoice details in JSON<|end|>" - "<|begin|>assistant<|content|>" - R"({"amount": 123.45, "date": "2025-12-03"})"; + tst.test("I'm thinking about the answer\nHello, world!") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .expect(simple_assist_msg("Hello, world!", "I'm thinking about the answer")) + .run(); - t.params.json_schema = invoice_schema; + tst.test( + "\n" + "\n" + "1\n" + "\n" + "") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); - t.expect.reasoning_content = "I need to output the invoice details in JSON"; - t.expect.content =R"({"amount": 123.45, "date": "2025-12-03"})"; - }); + tst.test( + "\n" + "\n" + "1\n" + "\n" + "\n" + "\n" + "\n" + "1\n" + "2\n" + "\n" + "") + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", {} }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, + }) + .run(); - // Test response format no reasoning - test_peg_parser(tmpls.get(), [&](auto & t) { - t.input = "<|content|>" - R"({"amount": 123.45, "date": "2025-12-03"})"; + tst.test( + "\n" + "\n" + "[{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]\n" + "\n" + "") + .tools({ + todo_list + }) + .expect_tool_calls({ + { "todo_list", "{\"todos\": [{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]}", {} }, + }) + .run(); - t.params.chat_template_kwargs["reasoning_effort"] = "\"low\""; - t.params.json_schema = invoice_schema; + // tool call with inside quotes + tst.test( + "\n" + "\n" + "\n" + "foo.cpp\n" + "\n" + "" + "def foo(arg = \"14\"):\n" + " return arg + \"bar\"\n" + "\n" + "\n" + "" + "def foo(arg = \"15\"):\n" + " pass\n" + "\n" + "\n" + "\n" + "") + .tools({ + edit_tool + }) + .expect_tool_calls({ + { "edit", "{\"filename\": \"foo.cpp\", " + "\"oldString\": \"def foo(arg = \\\"14\\\"):\\n return arg + \\\"bar\\\"\\n\", " + "\"newString\": \"def foo(arg = \\\"15\\\"):\\n pass\\n\"}", {} + } + }) + .run(); + } + + { + // Qwen3-Coder (tool calling with XML-style format) + auto tst = peg_tester("models/templates/Qwen3-Coder.jinja", detailed_debug); + + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + + tst.test( + "\n" + "\n" + "\n" + "1\n" + "\n" + "\n" + "") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + tst.test( + "\n" + "\n" + "\n" + "1\n" + "\n" + "\n" + "\n" + "\n" + "\n" + "\n" + "1\n" + "\n" + "\n" + "2\n" + "\n" + "\n" + "") + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", {} }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, + }) + .run(); + + // Test with code content (multiline) + tst.test( + "\n" + "\n" + "\n" + "def hello():\n" + " print(\"Hello, world!\")\n" + "\n" + "hello()\n" + "\n" + "\n" + "") + .tools({ + python_tool + }) + .expect_tool_calls({ + { "python", "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} }, + }) + .run(); + + // Test with code content (asian unicode chars) + tst.test( + "\n" + "\n" + "\n" + "格\n" + "\n" + "\n" + "") + .tools({ + python_tool + }) + .expect_tool_calls({ + { "python", "{\"code\": \"格\"}", {} }, + }) + .run(); + + // Test with HTML tag content + tst.test( + "\n" + "\n" + "\n" + "\n" + " \n" + " Hello!\n" + " \n" + "\n" + "\n" + "\n" + "") + .tools({ + html_tool + }) + .expect_tool_calls({ + { "html", "{\"markup\": \"\\n \\n Hello!\\n \\n\"}", {} }, + }) + .run(); + + // Test with TODO list (array of objects) + tst.test( + "\n" + "\n" + "\n" + "[{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]\n" + "\n" + "\n" + "") + .tools({ + todo_list + }) + .expect_tool_calls({ + { "todo_list", "{\"todos\": [{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]}", {} }, + }) + .run(); + } + { + auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug); + tst.test( + "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": " + "\"XYZCITY\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>") + .tools({ get_time_tool }) + .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}")) + .run(); + } + + { + auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug); + tst.test( + "REASONING<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": " + "\"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ get_time_tool }) + .expect(message_with_tool_calls_and_reasoning("get_time", "{\"city\":\"Tokyo\"}", "REASONING")) + .run(); + } + + { + auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug); + tst.test( + "REASONINGCONTENT<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": " + "\"Paris\"}<｜tool▁call▁end｜><｜tool▁call▁begin｜>get_weather<｜tool▁sep｜>{\"city\": " + "\"Paris\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>") + .tools({ + get_time_tool, get_weather_tool + }) + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .parallel_tool_calls(true) + .expect(message_with_reasoning_content_and_multiple_tool_calls( + "REASONING", "CONTENT", + { { "get_time", "{\"city\":\"Paris\"}" }, { "get_weather", "{\"city\":\"Paris\"}" } })) + .run(); + } + + { + auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug); + tst.test("REASONING\nCONTENT") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .expect(simple_assist_msg("CONTENT", "REASONING\n")) + .run(); + } + + { + auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug); + tst.test("CONTENT").expect(simple_assist_msg("CONTENT", "")).run(); + } + + // GLM-4.6 tests - format: function_name\n...\n...\n + { + auto tst = peg_tester("models/templates/GLM-4.6.jinja", detailed_debug); + tst.test( + "special_function\n" + "arg1\n1\n" + "") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // GLM-4.7-Flash tests - format: function_name...... + // Note: Template uses forced-open thinking mode (prompt ends with ) + { + auto tst = peg_tester("models/templates/GLM-4.7-Flash.jinja", detailed_debug); + + // Pure content (no reasoning) + tst.test("Hello, world!\nWhat's up?") + .enable_thinking(false) + .expect(message_assist) + .run(); + + // Reasoning with content (forced-open mode - input starts after ) + tst.test("I'm\nthinkingHello, world!\nWhat's up?") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .expect(message_assist_thoughts) + .run(); + + // Tool call without reasoning + tst.test( + "special_function" + "arg11" + "") + .enable_thinking(false) + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + // Tool call with reasoning (forced-open mode) + tst.test( + "I'm\nthinking" + "special_function" + "arg11" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ special_function_tool }) + .expect(message_assist_call_thoughts) + .run(); + + tst.test( + "special_function" + "arg11" + "" + "special_function_with_opt" + "arg11" + "arg22" + "") + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", {} }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, + }) + .run(); + } + + // Kimi-K2-Thinking tests - custom parser + // Unique feature: tool call ID embeds function name as functions.: + { + auto tst = peg_tester("models/templates/Kimi-K2-Thinking.jinja", detailed_debug); + + // Basic content only + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + + // Single tool call + tst.test( + "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>" + "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>") + .tools({ special_function_tool }) + .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}", "functions.special_function:0")) + .run(); + + // Single tool call with reasoning + tst.test( + "I'm thinking about this" + "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>" + "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(simple_assist_msg("", "I'm thinking about this", "special_function", "{\"arg1\": 1}", "functions.special_function:0")) + .run(); + + // Tool call with content + tst.test( + "Hello, world!\nWhat's up?" + "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>" + "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>") + .tools({ special_function_tool }) + .expect(simple_assist_msg("Hello, world!\nWhat's up?", "", "special_function", "{\"arg1\": 1}", "functions.special_function:0")) + .run(); + + // Multiple tool calls (parallel) - tests the indexing behavior + tst.test( + "<|tool_calls_section_begin|>" + "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|>" + "<|tool_call_begin|>functions.special_function_with_opt:1<|tool_call_argument_begin|>{\"arg1\": 1, \"arg2\": 2}<|tool_call_end|>" + "<|tool_calls_section_end|>") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", "functions.special_function:0" }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", "functions.special_function_with_opt:1" }, + }) + .run(); + + // Multiple tool calls with reasoning + tst.test( + "I need to call two functions" + "<|tool_calls_section_begin|>" + "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|>" + "<|tool_call_begin|>functions.python:1<|tool_call_argument_begin|>{\"code\": \"print('hey')\"}<|tool_call_end|>" + "<|tool_calls_section_end|>") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .parallel_tool_calls(true) + .tools({ + special_function_tool, python_tool + }) + .expect_reasoning("I need to call two functions") + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", "functions.special_function:0" }, + { "python", "{\"code\": \"print('hey')\"}", "functions.python:1" }, + }) + .run(); + + // Python tool with multiline code + tst.test( + "<|tool_calls_section_begin|><|tool_call_begin|>functions.python:0<|tool_call_argument_begin|>" + "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}<|tool_call_end|><|tool_calls_section_end|>") + .tools({ python_tool }) + .expect_tool_calls({ + { "python", "{\"code\": \"def hello():\\n print(\\\"Hello, world!\\\")\\n\\nhello()\"}", "functions.python:0" }, + }) + .run(); + + // Tool call with empty arguments + tst.test( + "<|tool_calls_section_begin|><|tool_call_begin|>functions.empty_args:0<|tool_call_argument_begin|>" + "{}<|tool_call_end|><|tool_calls_section_end|>") + .tools({ empty_args_tool }) + .expect(simple_assist_msg("", "", "empty_args", "{}", "functions.empty_args:0")) + .run(); + + // Partial tool call (streaming) + tst.test( + "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>" + "{\"arg1\": ") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .is_partial(true) + .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": ", "functions.special_function:0")) + .run(); + + // Three tool calls to verify counter continues incrementing + tst.test( + "<|tool_calls_section_begin|>" + "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|>" + "<|tool_call_begin|>functions.python:1<|tool_call_argument_begin|>{\"code\": \"print(1)\"}<|tool_call_end|>" + "<|tool_call_begin|>functions.html:2<|tool_call_argument_begin|>{\"markup\": \"

test

\"}<|tool_call_end|>" + "<|tool_calls_section_end|>") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .parallel_tool_calls(true) + .tools({ + special_function_tool, python_tool, html_tool + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", "functions.special_function:0" }, + { "python", "{\"code\": \"print(1)\"}", "functions.python:1" }, + { "html", "{\"markup\": \"

test

\"}", "functions.html:2" }, + }) + .run(); + + // Multiple tool calls with reasoning, call *inside thinking block* + tst.test( + "I need to call two functions" + "<|tool_calls_section_begin|>" + "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}<|tool_call_end|>" + "<|tool_call_begin|>functions.python:1<|tool_call_argument_begin|>{\"code\": \"print('hey')\"}<|tool_call_end|>" + "<|tool_calls_section_end|>") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .parallel_tool_calls(true) + .tools({ + special_function_tool, python_tool + }) + .expect_reasoning("I need to call two functions") + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", "functions.special_function:0" }, + { "python", "{\"code\": \"print('hey')\"}", "functions.python:1" }, + }) + .run(); + + // Multiple tool calls with reasoning, call *inside thinking block* and *without section markers or end markers + tst.test( + "I need to call two functions" + "<|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>{\"arg1\": 1}" + "<|tool_call_begin|>functions.python:1<|tool_call_argument_begin|>{\"code\": \"print('hey')\"}") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .parallel_tool_calls(true) + .tools({ + special_function_tool, python_tool + }) + .expect_reasoning("I need to call two functions") + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", "functions.special_function:0" }, + { "python", "{\"code\": \"print('hey')\"}", "functions.python:1" }, + }) + .run(); + + // Real life test - execute_command + tst.test("<|tool_call_begin|>functions.execute_command:0<|tool_call_argument_begin|>{\"command\": \"ls -lah\"" + ", \"cwd\": \"/home/jarvis/development/exllamav3\", \"timeout\": 10}") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .parallel_tool_calls(true) + .tools({ + { + /* .name = */ "execute_command", + /* .description = */ "Execute shell command", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "Shell command to execute" + }, + "cwd": { + "type": "string", + "description": "Working directory" + }, + "timeout": { + "type": "integer", + "description": "The timeout in seconds" + } + }, + "required": ["command"] + })" + } + }). + expect_tool_calls({ + { + "execute_command", + R"({"command": "ls -lah", "cwd": "/home/jarvis/development/exllamav3", "timeout": 10})", + "functions.execute_command:0" + } + }) + .run(); + } + + { + auto kimi_id_special_func_tool_call = + simple_assist_msg("", "", "special_function", "{\"arg1\": 1}", "functions.special_function:0"); + + // Kimi-K2 old template + auto tst = peg_tester("models/templates/moonshotai-Kimi-K2.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test( + "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>" + "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>") + .tools({ special_function_tool }) + .expect(kimi_id_special_func_tool_call) + .run(); + + // Kimi-K2-Instruct + auto tst2 = peg_tester("models/templates/Kimi-K2-Instruct.jinja", detailed_debug); + tst2.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst2.test( + "<|tool_calls_section_begin|><|tool_call_begin|>functions.special_function:0<|tool_call_argument_begin|>" + "{\"arg1\": 1}<|tool_call_end|><|tool_calls_section_end|>") + .tools({ special_function_tool }) + .expect(kimi_id_special_func_tool_call) + .run(); + } + + // Apertus-8B-Instruct tests - FUNC_NAME_AS_KEY format + // Format: <|tools_prefix|>[{"function_name": {...arguments...}}]<|tools_suffix|> + { + auto tst = peg_tester("models/templates/Apertus-8B-Instruct.jinja", detailed_debug); + tst.test("<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // MiniMax-M2 tests - XML invoke format with parameter tags + // Format: value + { + auto tst = peg_tester("models/templates/MiniMax-M2.jinja", detailed_debug); + tst.test( + "\n\n1\n\n") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // NVIDIA-Nemotron-Nano-v2 tests - ... format + // Format: [{"name": "func", "arguments": {...}}] + { + auto tst = peg_tester("models/templates/NVIDIA-Nemotron-Nano-v2.jinja", detailed_debug); + tst.test("[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // CohereForAI-c4ai-command-r7b (uses START_RESPONSE/END_RESPONSE, START_THINKING/END_THINKING, START_ACTION/END_ACTION) + { + auto tst = peg_tester("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja", detailed_debug); + tst.test("<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>").expect(message_assist).run(); + tst.test( + "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" + "<|START_ACTION|>[\n" + " {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n" + "]<|END_ACTION|>") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ special_function_tool }) + .expect(message_assist_thoughts_call_idx) + .run(); + } + // CohereForAI-c4ai-command-r-plus (uses markdown code block format) + { + auto tst = peg_tester("models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja", detailed_debug); + tst.test("<|CHATBOT_TOKEN|>Hello, world!\nWhat's up?<|END_OF_TURN_TOKEN|>").expect(message_assist).run(); + // Tool calls: Action: followed by JSON code block + tst.test( + "Action:\n" + "```json\n" + "[{\"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}]\n" + "```") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // mistralai-Mistral-Nemo-Instruct-2407.jinja + { + auto tst = peg_tester("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]") + .tools({ special_function_tool }) + .expect(message_assist_call_id) + .run(); + } + { + auto tst = peg_tester("models/templates/meetkai-functionary-medium-v3.1.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + // Functionary v3.2 - recipient-based format: >>>recipient\n{content} + { + auto tst = peg_tester("models/templates/meetkai-functionary-medium-v3.2.jinja", detailed_debug); + tst.test(">>>all\nHello, world!\nWhat's up?").expect(message_assist).run(); + tst.test(">>>special_function\n{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // FireFunction + { + auto tst = peg_tester("models/templates/fireworks-ai-llama-3-firefunction-v2.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test(" functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // DeepSeek R1 Distill Llama 8B - reasoning tests only (forced open thinking) + // Note: Template uses forced-open mode (prompt ends with ), so input shouldn't include opening tag + { + auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?") + .enable_thinking(true) // Forced open + .expect(message_assist) + .run(); + tst.test("I'm\nthinkingHello, world!\nWhat's up?") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .expect(message_assist_thoughts) + .run(); + } + // llama-cpp DeepSeek R1 template (always forced-open thinking) + { + auto tst = peg_tester("models/templates/llama-cpp-deepseek-r1.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("I'm\nthinkingHello, world!\nWhat's up?") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .expect(message_assist_thoughts) + .run(); + tst.test( + "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" + "```json\n{\"arg1\": 1}```<｜tool▁call▁end｜><｜tool▁calls▁end｜>") + .tools({ special_function_tool }) + .parallel_tool_calls(true) + .expect(message_assist_call) + .run(); + } + // DeepSeek R1 Distill Qwen 32B - reasoning tests only (forced open thinking) + // Note: Template uses forced-open mode (prompt ends with ), so input shouldn't include opening tag + { + auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").enable_thinking(true).expect(message_assist).run(); + tst.test("I'm\nthinkingHello, world!\nWhat's up?") + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .expect(message_assist_thoughts) + .run(); + tst.test( + "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" + "```json\n{\"arg1\": 1}```<｜tool▁call▁end｜><｜tool▁calls▁end｜>") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // MiMo-VL / Hermes 3 / Qwen 2.5 (Common JSON format) + for (const auto & path : + { "models/templates/MiMo-VL.jinja", "models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja", + "models/templates/Qwen-Qwen2.5-7B-Instruct.jinja" }) { + auto tst = peg_tester(path, detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // Apriel 1.5 + { + auto tst = peg_tester("models/templates/unsloth-Apriel-1.5.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + } + + // Apriel 1.6 Thinker (reasoning-only support) + { + auto tst = peg_tester("models/templates/Apriel-1.6-15b-Thinker-fixed.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + + // Implicit reasoning start (forced open) + tst.test("I'm\nthinking\n[BEGIN FINAL RESPONSE]\nHello, world!\nWhat's up?") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .expect(message_assist_thoughts) + .run(); + + // Reasoning + Tool calls + tst.test( + "I'm\nthinking\n[BEGIN FINAL RESPONSE]\n[{\"name\": \"special_function\", \"arguments\": " + "{\"arg1\": 1}}]") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call_thoughts) + .run(); + } + + // Mistral Small 3.2 - FUNC_BRACKET_TAG format: [TOOL_CALLS]func_name[CALL_ID]id[ARGS]{...} + { + auto tst = peg_tester("models/templates/Mistral-Small-3.2-24B-Instruct-2506.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("[TOOL_CALLS]special_function[CALL_ID]123456789[ARGS]{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call_id) + .run(); + } + // Devstral + { + auto tst = peg_tester("models/templates/unsloth-mistral-Devstral-Small-2507.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + tst.test("[TOOL_CALLS]special_function[ARGS]{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + tst.test("Hello, world!\nWhat's up?[TOOL_CALLS]special_function[ARGS]{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call_content) + .run(); + } + + { + // Llama 3.1 + auto tst = peg_tester("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).run(); + } + + { + // Llama 3.2 + auto tst = peg_tester("models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).run(); + } + + { + // Llama 3.3 + auto tst = peg_tester("models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja", detailed_debug); + tst.test("Hello, world!\nWhat's up?").tools({ python_tool }).expect(message_assist).run(); + } + + // GPT-OSS format tests + { + auto tst = peg_tester("models/templates/openai-gpt-oss-120b.jinja", detailed_debug); + + // Basic content only - final channel + tst.test("<|channel|>final<|message|>Hello, world!\nWhat's up?").expect(message_assist).run(); + + // Basic content only - commentary channel + tst.test("<|channel|>commentary<|message|>Hello, world!\nWhat's up?").expect(message_assist).run(); + + // Analysis channel (reasoning) with final channel (content) + tst.test( + "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n<|channel|>final<|message|>Hello, world!\nWhat's " + "up?") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .expect(message_assist_thoughts) + .run(); + + // Analysis channel only (partial) - still works when reasoning format is set + tst.test("<|channel|>analysis<|message|>I'm\nthinking") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .is_partial(true) + .expect_reasoning("I'm\nthinking") + .run(); + + // Reasoning format none - reasoning stays in content + tst.test( + "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n<|channel|>final<|message|>Hello, world!\nWhat's " + "up?") + .reasoning_format(COMMON_REASONING_FORMAT_NONE) + .expect_content( + "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?") + .run(); + + // Tool call with recipient in role header: " to=functions.NAME<|channel|>analysis<|message|>JSON" + tst.test(" to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + // Tool call with recipient in channel header: "<|channel|>analysis to=functions.NAME<|message|>JSON" + tst.test("<|channel|>analysis to=functions.special_function<|message|>{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + // Tool call with constraint: " to=functions.NAME<|channel|>analysis <|constrain|>json<|message|>JSON" + tst.test(" to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + // Tool call in commentary channel (channel header variant) + tst.test("<|channel|>commentary to=functions.special_function<|message|>{\"arg1\": 1}") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + // Tool call with reasoning + content (analysis first, then tool call) + tst.test( + "<|channel|>analysis<|message|>I'm\nthinking<|end|>\n" + "<|start|>assistant to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call_thoughts) + .run(); + + // Tool calling with extra channel before + tst.test( + "<|channel|>analysis<|message|>I'm\nthinking<|end|><|start|>assistant<|channel|>commentary" + " to=functions.special_function <|message|>{\"arg1\": 1}") + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call_thoughts) + .run(); + + // Reasoning after final channel + // Tool calling after final channel + tst.test( + "<|channel|>final<|message|><|end|>" + "<|start|>assistant<|channel|>analysis<|message|>Thinking about edit..." + ) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .expect_reasoning("Thinking about edit...") + .expect_content("") + .run(); + + // Tool calling after final channel + tst.test( + "<|channel|>final<|message|><|end|>" + "<|start|>assistant<|channel|>analysis<|message|>Thinking about edit...<|end|>" + "<|start|>assistant<|channel|>commentary to=functions.edit <|constrain|>json" + "<|message|>{\"oldString\": \"if (part < railCount - 1) {\", \"newString\": \"if (part < 4) {\", \"replaceAll\": false}" + ) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ + { + /* .name = */ "edit", + /* .description = */ "Edit a file", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "oldString": { + "type": "string", + "description": "Old string to replace." + }, + "newString": { + "type": "string", + "description": "New replacement string." + }, + "replaceAll": { + "type": "boolean", + "description": "Whether to replace all occurences." + } + }, + "required": ["oldString", "newString"] + })", + } + }) + .expect_reasoning("Thinking about edit...") + .expect_tool_calls({ + { "edit", R"({"oldString": "if (part < railCount - 1) {", "newString": "if (part < 4) {", "replaceAll": false})", {} } + }) + .run(); + + // Parallel tool calls + tst.test( + " to=functions.special_function<|channel|>analysis<|message|>{\"arg1\": 1}\n" + "<|start|>assistant to=functions.special_function_with_opt<|channel|>analysis<|message|>{\"arg1\": 1, " + "\"arg2\": 2}") + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", {} }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, + }) + .run(); + } + + { + auto tst = peg_tester("models/templates/StepFun3.5-Flash.jinja", detailed_debug); + tst.test("I was thinking\nNow I'm not."). + enable_thinking(true). + reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK). + expect_reasoning("I was thinking"). + expect_content("Now I'm not.") + .run(); + + // Test that numeric-looking string values are coerced to strings per the schema + tst.test( + "Let me call the magic tool\n" + "\n" + "\n" + "\n" + "\nfooBar\n\n" + "\n5123123\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ magic_tool }) + .expect_reasoning("Let me call the magic tool") + .expect_tool_calls({ + { "magic", R"({"name": "fooBar", "ref": "5123123"})", {} }, + }) + .run(); + + // Test that numeric values are correctly interpreted as numbers when schema calls for number + tst.test( + "Let me call the special function\n" + "\n" + "\n" + "\n" + "\n42555916\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ special_function_tool }) + .expect_reasoning("Let me call the special function") + .expect_tool_calls({ + { "special_function", R"({"arg1": 42555916})", {} }, + }) + .run(); + + tst.test( + "Let me call the special function with opt\n" + "\n" + "\n" + "\n" + "\n42555916\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ special_function_tool_with_optional_param }) + .expect_reasoning("Let me call the special function with opt") + .expect_tool_calls({ + { "special_function_with_opt", R"({"arg1": 42555916})", {} }, + }) + .run(); + + tst.test( + "Let me call the magic_int function\n" + "\n" + "\n" + "\n" + "\n42555916\n\n" + "\nbaz\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ magic_int_tool }) + .expect_reasoning("Let me call the magic_int function") + .expect_tool_calls({ + { "magic_int", R"({"ref": 42555916, "name": "baz"})", {} }, + }) + .run(); + + tst.test( + "Call string_param with empty text\n" + "\n" + "\n" + "\n" + "\n\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ string_param_tool }) + .expect_reasoning("Call string_param with empty text") + .expect_tool_calls({ + { "string_param", R"({"text": ""})", {} }, + }) + .run(); + + tst.test( + "Test simple quoted unquoted\n" + "\n" + "\n" + "\n" + "\n\"foo\"\n\n" + "\nfoo\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ quoted_unquoted_tool }) + .expect_reasoning("Test simple quoted unquoted") + .expect_tool_calls({ + { "quoted_unquoted", R"({"quoted": "\"foo\"", "unquoted": "foo"})", {} }, + }) + .run(); + + tst.test( + "Test complex quoted unquoted\n" + "\n" + "\n" + "\n" + "\n\"printf(\\\"foo\\\");\"\n\n" + "\nprintf(\"foo\");\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ quoted_unquoted_tool }) + .expect_reasoning("Test complex quoted unquoted") + .expect_tool_calls({ + { "quoted_unquoted", R"({ "quoted" : "\"printf(\\\"foo\\\");\"", "unquoted": "printf(\"foo\");" })", {} } + }) + .run(); + + tst.test( + "Test negative number\n" + "\n" + "\n" + "\n" + "\n-14\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ magic_int_tool }) + .expect_reasoning("Test negative number") + .expect_tool_calls({ + { "magic_int", R"({ "ref" : -14 })", {} } + }) + .run(); + + tst.test( + "Test decimal number\n" + "\n" + "\n" + "\n" + "\n3.14\n\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ amount_tool }) + .expect_reasoning("Test decimal number") + .expect_tool_calls({ + { "amount", R"({ "orig" : 3.14 })", {} } + }) + .run(); + + tst.test( + "Test imaginary number\n" + "\n" + "\n" + "\n" + "\n" + "{ \"real\": 3.14, \"imaginary\": 2.71 }\n" + "\n" + "\n" + "") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK) + .tools({ imaginary_number_tool }) + .expect_reasoning("Test imaginary number") + .expect_tool_calls({ + { "imaginary_number", R"({ "number" : {"real":3.14,"imaginary":2.71 } })", {} } + }) + .run(); - t.expect.content =R"({"amount": 123.45, "date": "2025-12-03"})"; - }); } } static void test_msg_diffs_compute() { - printf("[%s]\n", __func__); + LOG_DBG("%s\n", __func__); { common_chat_msg msg1; @@ -3759,9 +2873,7 @@ static void test_msg_diffs_compute() { common_chat_msg_diff diff; diff.content_delta = "Hello, world!"; - assert_equals( - {diff}, - common_chat_msg_diff::compute_diffs(msg1, msg2)); + assert_equals({ diff }, common_chat_msg_diff::compute_diffs(msg1, msg2)); } { common_chat_msg msg1; @@ -3773,37 +2885,35 @@ static void test_msg_diffs_compute() { common_chat_msg_diff diff; diff.content_delta = " world!"; - assert_equals( - {diff}, - common_chat_msg_diff::compute_diffs(msg1, msg2)); + assert_equals({ diff }, common_chat_msg_diff::compute_diffs(msg1, msg2)); } { common_chat_msg msg0; common_chat_msg msg1; - msg1.tool_calls = { { "special_function", "{\"ar", /* .id = */ "123" } }; + msg1.tool_calls = { + { "special_function", "{\"ar", /* .id = */ "123" } + }; common_chat_msg msg2; - msg2.tool_calls = { { "special_function", "{\"arg1\": 1}", /* .id = */ "123" } }; + msg2.tool_calls = { + { "special_function", "{\"arg1\": 1}", /* .id = */ "123" } + }; common_chat_msg_diff diff01; - diff01.tool_call_index = 0; - diff01.tool_call_delta.name = "special_function"; - diff01.tool_call_delta.id = "123"; + diff01.tool_call_index = 0; + diff01.tool_call_delta.name = "special_function"; + diff01.tool_call_delta.id = "123"; diff01.tool_call_delta.arguments = "{\"ar"; - assert_equals( - {diff01}, - common_chat_msg_diff::compute_diffs(msg0, msg1)); + assert_equals({ diff01 }, common_chat_msg_diff::compute_diffs(msg0, msg1)); common_chat_msg_diff diff12; - diff12.tool_call_index = 0; + diff12.tool_call_index = 0; // Note: neither id nor name change here. diff12.tool_call_delta.arguments = "g1\": 1}"; - assert_equals( - {diff12}, - common_chat_msg_diff::compute_diffs(msg1, msg2)); + assert_equals({ diff12 }, common_chat_msg_diff::compute_diffs(msg1, msg2)); } { common_chat_msg msg0; @@ -3815,68 +2925,81 @@ static void test_msg_diffs_compute() { }; common_chat_msg_diff diff1; - diff1.tool_call_index = 0; - diff1.tool_call_delta.name = "f1"; - diff1.tool_call_delta.id = "123"; + diff1.tool_call_index = 0; + diff1.tool_call_delta.name = "f1"; + diff1.tool_call_delta.id = "123"; diff1.tool_call_delta.arguments = "{\"arg1\": 1}"; common_chat_msg_diff diff2; - diff2.tool_call_index = 1; - diff2.tool_call_delta.name = "f2"; - diff2.tool_call_delta.id = "222"; + diff2.tool_call_index = 1; + diff2.tool_call_delta.name = "f2"; + diff2.tool_call_delta.id = "222"; diff2.tool_call_delta.arguments = "{\"arg2\": 2}"; - assert_equals( - {diff1, diff2}, - common_chat_msg_diff::compute_diffs(msg0, msg2)); + assert_equals({ diff1, diff2 }, common_chat_msg_diff::compute_diffs(msg0, msg2)); } } int main(int argc, char ** argv) { - common_log_set_verbosity_thold(999); + bool detailed_debug = false; + bool only_run_filtered = false; - // try { -#ifndef _WIN32 - if (argc > 1) { - common_chat_templates_inputs inputs; - common_chat_msg msg; - msg.role = "user"; - msg.content = "Hey"; - inputs.messages = {msg}; - inputs.tools = { special_function_tool }; - - std::cout << "| Template | Format |\n"; - std::cout << "|----------|--------|\n"; - - for (int i = 1; i < argc; i++) { - try { - std::string path = argv[i]; - if (path.rfind(".jinja") != path.size() - 6) { - std::cerr << "Skipping non-jinja file: " << path << '\n'; - continue; - } - auto tmpls = read_templates(path); - auto parts = string_split(path, "/"); - auto name = parts[parts.size() - 1]; - auto format = common_chat_format_name(common_chat_templates_apply(tmpls.get(), inputs).format); - std::cout << "| " << name << " | " << format << " |\n"; - } catch (const std::exception & e) { - std::cerr << "Failed to process " << argv[i] << ": " << e.what() << '\n'; - } - } - } else -#endif - { - test_msg_diffs_compute(); - test_msgs_oaicompat_json_conversion(); - test_tools_oaicompat_json_conversion(); - test_template_output_parsers(); - test_template_output_peg_parsers(); - std::cout << "\n[chat] All tests passed!" << '\n'; + // Check for --template flag + for (int i = 1; i < argc; i++) { + std::string arg = argv[i]; + if (arg == "--template" && i + 1 < argc) { + g_template_filter = argv[++i]; + // Only run PEG parser tests with the filter + only_run_filtered = true; } + if (arg == "--detailed") { + detailed_debug = true; + common_log_set_verbosity_thold(999); + } + } + + if (only_run_filtered) { + test_template_output_peg_parsers(detailed_debug); + std::cout << "\n[chat] All template tests passed!" << '\n'; return 0; - // } catch (const std::exception & e) { - // std::cerr << "Error: " << e.what() << '\n'; - // return 1; - // } + } + +#ifndef _WIN32 + if (argc > 1) { + common_chat_templates_inputs inputs; + common_chat_msg msg; + msg.role = "user"; + msg.content = "Hey"; + inputs.messages = { msg }; + inputs.tools = { special_function_tool }; + + std::cout << "| Template | Format |\n"; + std::cout << "|----------|--------|\n"; + + for (int i = 1; i < argc; i++) { + try { + std::string path = argv[i]; + if (path.rfind(".jinja") != path.size() - 6) { + std::cerr << "Skipping non-jinja file: " << path << '\n'; + continue; + } + auto tmpls = read_templates(path); + auto parts = string_split(path, "/"); + const auto & name = parts[parts.size() - 1]; + const auto * format = common_chat_format_name(common_chat_templates_apply(tmpls.get(), inputs).format); + std::cout << "| " << name << " | " << format << " |\n"; + } catch (const std::exception & e) { + std::cerr << "Failed to process " << argv[i] << ": " << e.what() << '\n'; + } + } + } else +#endif + { + test_msg_diffs_compute(); + test_msgs_oaicompat_json_conversion(); + test_tools_oaicompat_json_conversion(); + test_template_output_peg_parsers(detailed_debug); + std::cout << "\n[chat] All tests passed!" << '\n'; + } + return 0; } diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp index a8e9ff33a4..eb33804c9a 100755 --- a/tests/test-json-schema-to-grammar.cpp +++ b/tests/test-json-schema-to-grammar.cpp @@ -1340,6 +1340,26 @@ static void test_all(const std::string & lang, std::function +#include +#include +#include + +#include "nlohmann/json.hpp" +#include "peg-parser.h" + +using json = nlohmann::ordered_json; + +enum class output_mode { + ANALYSIS, // Only output analysis results (default) + TEMPLATE, // Only output rendered template + BOTH // Output both +}; + +enum class input_message_type { + NONE, // Don't render any message scenarios (only analysis) + CONTENT_ONLY, // Simple assistant message with content + REASONING_CONTENT, // Message with reasoning_content + content + TOOL_CALL_ONLY, // Message with tool_calls only + CONTENT_TOOL_CALL, // Message with content + tool_calls + REASONING_TOOL_CALL, // Message with reasoning_content + tool_calls + CONTENT_FAKE_TOOL_CALL, // Message with content but no actual tool_calls (for testing) + ALL // Render all scenarios +}; + +struct debug_options { + std::string template_path; + bool with_tools = true; + bool generation_prompt = true; + bool enable_reasoning = true; + bool debug_jinja = false; + bool force_tool_call = false; + output_mode mode = output_mode::BOTH; + input_message_type input_message = input_message_type::NONE; +}; + +static std::string read_file(const std::string & path) { + std::ifstream fin(path, std::ios::binary); + if (!fin.is_open()) { + throw std::runtime_error("Could not open file: " + path); + } + std::ostringstream buf; + buf << fin.rdbuf(); + return buf.str(); +} + +static std::string read_gguf_chat_template(const std::string & path) { + struct gguf_init_params params = { /*no_alloc =*/true, // We only need metadata, not tensor data + /*ctx=*/nullptr }; + + struct gguf_context * ctx = gguf_init_from_file(path.c_str(), params); + if (ctx == nullptr) { + throw std::runtime_error("Could not open GGUF file: " + path); + } + + const char * key = "tokenizer.chat_template"; + int64_t key_id = gguf_find_key(ctx, key); + + if (key_id == -1) { + gguf_free(ctx); + throw std::runtime_error("GGUF file does not contain chat template key: " + std::string(key)); + } + + const char * template_str = gguf_get_val_str(ctx, key_id); + if (template_str == nullptr) { + gguf_free(ctx); + throw std::runtime_error("GGUF file contains chat template key but value is null"); + } + + std::string result = template_str; + gguf_free(ctx); + return result; +} + +static void print_usage(const char * program_name) { + LOG_ERR("Usage: %s [options]\n", program_name); + LOG_ERR("\nOptions:\n"); + LOG_ERR(" --no-tools Disable tool definitions\n"); + LOG_ERR(" --force-tool-call Set tool calls to forced\n"); + LOG_ERR(" --generation-prompt=0|1 Set add_generation_prompt (default: 1)\n"); + LOG_ERR(" --enable-reasoning=0|1 Enable reasoning parsing (default: 1)\n"); + LOG_ERR(" --output=MODE Output mode: analysis, template, both (default: both)\n"); + LOG_ERR(" --debug-jinja Enable Jinja fine-grained debug\n"); + LOG_ERR(" --input-message=TYPE Message type to render:\n"); + LOG_ERR(" content_only, reasoning_content, tool_call_only,\n"); + LOG_ERR(" content_tool_call, reasoning_tool_call,\n"); + LOG_ERR(" content_fake_tool_call, all\n"); + LOG_ERR("\nExamples:\n"); + LOG_ERR(" %s template.jinja --input-message=all --generation-prompt=1\n", program_name); + LOG_ERR(" %s template.jinja --output=template --input-message=tool_call_only\n", program_name); +} + +static bool parse_bool_option(const std::string & value) { + return value == "1" || value == "true" || value == "yes"; +} + +static bool parse_options(int argc, char ** argv, debug_options & opts) { + if (argc < 2) { + print_usage(argv[0]); + return false; + } + + opts.template_path = argv[1]; + + for (int i = 2; i < argc; ++i) { + std::string arg = argv[i]; + + if (arg == "--force-tool-call") { + opts.force_tool_call = true; + } else if (arg == "--debug-jinja") { + opts.debug_jinja = true; + } else if (arg == "--no-tools") { + opts.with_tools = false; + } else if (arg.rfind("--generation-prompt=", 0) == 0) { + opts.generation_prompt = parse_bool_option(arg.substr(20)); + } else if (arg.rfind("--enable-reasoning=", 0) == 0) { + opts.enable_reasoning = parse_bool_option(arg.substr(19)); + } else if (arg.rfind("--output=", 0) == 0) { + std::string mode = arg.substr(9); + if (mode == "analysis") { + opts.mode = output_mode::ANALYSIS; + } else if (mode == "template") { + opts.mode = output_mode::TEMPLATE; + } else if (mode == "both") { + opts.mode = output_mode::BOTH; + } else { + LOG_ERR("Unknown output mode: %s\n", mode.c_str()); + return false; + } + } else if (arg.rfind("--input-message=", 0) == 0) { + std::string type = arg.substr(16); + if (type == "content_only") { + opts.input_message = input_message_type::CONTENT_ONLY; + } else if (type == "reasoning_content") { + opts.input_message = input_message_type::REASONING_CONTENT; + } else if (type == "tool_call_only") { + opts.input_message = input_message_type::TOOL_CALL_ONLY; + } else if (type == "content_tool_call") { + opts.input_message = input_message_type::CONTENT_TOOL_CALL; + } else if (type == "reasoning_tool_call") { + opts.input_message = input_message_type::REASONING_TOOL_CALL; + } else if (type == "content_fake_tool_call") { + opts.input_message = input_message_type::CONTENT_FAKE_TOOL_CALL; + } else if (type == "all") { + opts.input_message = input_message_type::ALL; + } else { + LOG_ERR("Unknown input message type: %s\n", type.c_str()); + return false; + } + } else { + LOG_ERR("Unknown option: %s\n", arg.c_str()); + print_usage(argv[0]); + return false; + } + } + + return true; +} + +static json build_user_message() { + return json{ + { "role", "user" }, + { "content", "Hello, please help me with a task." } + }; +} + +static json build_content_only_message() { + return json{ + { "role", "assistant" }, + { "content", "Hello! I'm here to help you with your task." } + }; +} + +static json build_reasoning_content_message() { + return json{ + { "role", "assistant" }, + { "content", "Hello! I'm here to help you with your task." }, + { "reasoning_content", "The user is greeting me and asking for help. I should respond politely." } + }; +} + +static json build_tool_call_only_message() { + return json{ + { "role", "assistant" }, + { "content", nullptr }, + { "tool_calls", + json::array({ json{ + { "type", "function" }, + { "function", json{ { "name", "test_function_name" }, + { "arguments", json::object({ { "param1", "value1" }, { "param2", "value2" } }) } } }, + { "id", "123456789" } } }) } + }; +} + +static json build_content_tool_call_message() { + return json{ + { "role", "assistant" }, + { "content", "I'll help you by calling a function." }, + { "tool_calls", + json::array({ json{ + { "type", "function" }, + { "function", + json{ { "name", "test_function_name" }, + { "arguments", json::object({ { "param1", "value1" }, { "param2", "value2" } }) } } } } }) } + }; +} + +static json build_reasoning_tool_call_message() { + return json{ + { "role", "assistant" }, + { "content", nullptr }, + { "reasoning_content", "I need to call a function to help with this task." }, + { "tool_calls", + json::array({ json{ + { "type", "function" }, + { "function", + json{ { "name", "test_function_name" }, + { "arguments", json::object({ { "param1", "value1" }, { "param2", "value2" } }) } } } } }) } + }; +} + +static json build_content_fake_tool_call_message() { + // This message has content but NO tool_calls field + // It's used to test if a template renders tool definitions but not tool calls + return json{ + { "role", "assistant" }, + { "content", "I'll help you by calling a function." } + }; +} + +static json build_tools_definition() { + json parameters_schema = json::object(); + parameters_schema["type"] = "object"; + parameters_schema["properties"] = json::object(); + parameters_schema["properties"]["param1"] = json::object({ + { "type", "string" }, + { "description", "First parameter" } + }); + parameters_schema["properties"]["param2"] = json::object({ + { "type", "string" }, + { "description", "Second parameter" } + }); + parameters_schema["required"] = json::array({ "param1" }); + + return json::array({ + json{ { "type", "function" }, + { "function", json{ { "name", "test_function_name" }, + { "description", "A test function for debugging" }, + { "parameters", parameters_schema } } } } + }); +} + +static void render_scenario(const common_chat_template & tmpl, + const std::string & scenario_name, + const json & messages, + const json & tools, + bool add_generation_prompt, + bool enable_thinking) { + LOG_ERR("\n=== Scenario: %s ===\n", scenario_name.c_str()); + LOG_ERR("add_generation_prompt: %s, enable_thinking: %s\n", add_generation_prompt ? "true" : "false", + enable_thinking ? "true" : "false"); + + // When add_generation_prompt is true, add a trailing user message to trigger the prompt + json final_messages = messages; + if (add_generation_prompt && !messages.empty() && messages.back().value("role", "") == "assistant") { + final_messages.push_back(json{ + { "role", "user" }, + { "content", "Now please continue with another response." } + }); + } + + LOG_ERR("Messages:\n%s\n", final_messages.dump(2).c_str()); + + try { + autoparser::templates_params inputs; + inputs.messages = final_messages; + inputs.add_generation_prompt = add_generation_prompt; + inputs.extra_context["enable_thinking"] = enable_thinking; + + if (!tools.is_null() && tools.is_array() && !tools.empty()) { + inputs.tools = tools; + } + + std::string output = common_chat_template_direct_apply(tmpl, inputs); + + LOG_ERR("\n--- Rendered Output ---\n"); + LOG_ERR("%s\n", output.c_str()); + LOG_ERR("--- End Output (length: %zu) ---\n", output.length()); + } catch (const std::exception & e) { + LOG_ERR("Rendering failed: %s\n", e.what()); + } +} + +static void render_all_scenarios(const common_chat_template & tmpl, + const json & tools, + bool add_generation_prompt, + bool enable_thinking, + input_message_type message_type) { + json user_msg = build_user_message(); + + auto render_if = [&](input_message_type type, const std::string & name, const json & assistant_msg) { + if (message_type == input_message_type::ALL || message_type == type) { + json messages = json::array({ user_msg, assistant_msg }); + render_scenario(tmpl, name, messages, tools, add_generation_prompt, enable_thinking); + } + }; + + render_if(input_message_type::CONTENT_ONLY, "content_only", build_content_only_message()); + render_if(input_message_type::REASONING_CONTENT, "reasoning_content", build_reasoning_content_message()); + render_if(input_message_type::TOOL_CALL_ONLY, "tool_call_only", build_tool_call_only_message()); + render_if(input_message_type::CONTENT_TOOL_CALL, "content_tool_call", build_content_tool_call_message()); + render_if(input_message_type::REASONING_TOOL_CALL, "reasoning_tool_call", build_reasoning_tool_call_message()); + render_if(input_message_type::CONTENT_FAKE_TOOL_CALL, "content_fake_tool_call", + build_content_fake_tool_call_message()); + + // Also render with add_generation_prompt=true to show the prompt ending + if (message_type == input_message_type::ALL) { + LOG_ERR("\n\n=== Generation Prompt Scenarios (add_generation_prompt=true) ===\n"); + + json prompt_messages = json::array({ user_msg }); + render_scenario(tmpl, "generation_prompt_only", prompt_messages, tools, true, enable_thinking); + + // With enable_thinking toggled + render_scenario(tmpl, "generation_prompt_thinking_disabled", prompt_messages, tools, true, false); + } +} + +int main(int argc, char ** argv) { + // Set log level to most verbose to capture all debug output + common_log_set_verbosity_thold(99); + + debug_options opts; + if (!parse_options(argc, argv, opts)) { + return 1; + } + + if (opts.debug_jinja || std::getenv("LLAMA_DEBUG_JINJA") != nullptr) { + jinja::enable_debug(true); + } + + std::string template_source; + try { + // Check if the file is a GGUF file + if (opts.template_path.size() >= 5 && + opts.template_path.compare(opts.template_path.size() - 5, 5, ".gguf") == 0) { + template_source = read_gguf_chat_template(opts.template_path); + } else { + template_source = read_file(opts.template_path); + } + } catch (const std::exception & e) { + LOG_ERR("Error reading template: %s\n", e.what()); + return 1; + } + + LOG_ERR("Analyzing template: %s\n", opts.template_path.c_str()); + LOG_ERR("Options: with_tools=%s, generation_prompt=%s, enable_reasoning=%s\n", opts.with_tools ? "true" : "false", + opts.generation_prompt ? "true" : "false", opts.enable_reasoning ? "true" : "false"); + + try { + common_chat_template chat_template(template_source, "", ""); + + // Build tools definition + json tools = opts.with_tools ? build_tools_definition() : json(); + + // Render template scenarios if requested + if (opts.input_message != input_message_type::NONE && + (opts.mode == output_mode::TEMPLATE || opts.mode == output_mode::BOTH)) { + LOG_ERR("\n"); + LOG_ERR("================================================================================\n"); + LOG_ERR(" TEMPLATE RENDERING OUTPUT\n"); + LOG_ERR("================================================================================\n"); + + render_all_scenarios(chat_template, tools, opts.generation_prompt, opts.enable_reasoning, + opts.input_message); + } + + // Output analysis if requested + if (opts.mode == output_mode::ANALYSIS || opts.mode == output_mode::BOTH) { + LOG_ERR("\n"); + LOG_ERR("================================================================================\n"); + LOG_ERR(" TEMPLATE ANALYSIS\n"); + LOG_ERR("================================================================================\n"); + + autoparser::autoparser analysis; + analysis.analyze_template(chat_template); + + // Generate Parser + autoparser::templates_params params; + params.messages = json::array({ build_user_message() }); + params.reasoning_format = + opts.enable_reasoning ? COMMON_REASONING_FORMAT_DEEPSEEK : COMMON_REASONING_FORMAT_NONE; + params.enable_thinking = opts.enable_reasoning; + params.add_generation_prompt = opts.generation_prompt; + + if (opts.with_tools) { + params.tools = tools; + params.tool_choice = opts.force_tool_call ? COMMON_CHAT_TOOL_CHOICE_REQUIRED : COMMON_CHAT_TOOL_CHOICE_AUTO; + } else { + params.tools = json(); + params.tool_choice = COMMON_CHAT_TOOL_CHOICE_NONE; + } + params.parallel_tool_calls = false; + + auto parser_data = autoparser::peg_generator::generate_parser(chat_template, params, analysis); + + LOG_ERR("\n=== Generated Parser ===\n"); + common_peg_arena arena; + arena.load(parser_data.parser); + LOG_ERR("%s\n", arena.dump(arena.root()).c_str()); + + LOG_ERR("\n=== Generated Grammar ===\n"); + LOG_ERR("%s\n", parser_data.grammar.c_str()); + + LOG_ERR("\n=== Generated Lazy Grammar ===\n"); + LOG_ERR("%d\n", parser_data.grammar_lazy); + + LOG_ERR("\n=== Generated Grammar Triggers ===\n"); + for (const common_grammar_trigger & cgt : parser_data.grammar_triggers) { + LOG_ERR("Token: %d | Type: %d | Value: %s\n", cgt.token, cgt.type, cgt.value.c_str()); + } + + LOG_ERR("\n=== Preserved Tokens ===\n"); + for (const std::string & token : parser_data.preserved_tokens) { + LOG_ERR(" '%s'\n", token.c_str()); + } + + if (!parser_data.grammar.empty()) { + LOG_ERR("\n=== Verifying created grammar ===\n"); + auto * grammar = llama_grammar_init_impl(nullptr, parser_data.grammar.c_str(), "root", + parser_data.grammar_lazy, nullptr, 0, nullptr, 0); + if (grammar != nullptr) { + LOG_ERR("\n=== Grammar successfully created ===\n"); + } + } + } + } catch (const std::exception & e) { + LOG_ERR("Analysis failed: %s\n", e.what()); + return 1; + } + + return 0; +} diff --git a/tools/parser/template-analysis.cpp b/tools/parser/template-analysis.cpp new file mode 100644 index 0000000000..a92e104ac0 --- /dev/null +++ b/tools/parser/template-analysis.cpp @@ -0,0 +1,611 @@ +#include "chat-auto-parser.h" +#include "chat-auto-parser-helpers.h" +#include "chat.h" +#include "log.h" +#include "jinja/caps.h" +#include "jinja/runtime.h" + +#include +#include +#include +#include +#include + +#include "nlohmann/json.hpp" + +using json = nlohmann::ordered_json; + +// ANSI color codes - using 256-color palette for brighter colors (all bold) +#define ANSI_RESET "\033[0m" +#define ANSI_PURPLE "\033[1m\x1b[38;5;126m" // Bold bright purple for main headers +#define ANSI_CYAN "\033[1m\x1b[38;5;81m" // Bold bright cyan for section headers +#define ANSI_BLUE "\033[1m\x1b[38;5;12m" // Bold bright blue for labels +#define ANSI_ORANGE "\033[1m\x1b[38;5;209m" // Bold orange for right differences +#define ANSI_GREEN "\033[1m\x1b[38;5;83m" // Bold bright green for left differences +#define ANSI_GRAY "\033[1m\x1b[38;5;240m" // Bold gray (used for "no variables" message) +#define ANSI_BOLD "\033[1m" // Standalone bold +#define ANSI_PREFIX "\033[1m\x1b[38;5;176m" // Bold color for common prefix +#define ANSI_SUFFIX "\033[1m\x1b[38;5;61m" // Bold color for common suffix + +// All template paths extracted from tests/test-chat.cpp +static const std::vector ALL_TEMPLATE_PATHS = { + "models/templates/Apertus-8B-Instruct.jinja", + "models/templates/Apriel-1.6-15b-Thinker-fixed.jinja", + "models/templates/ByteDance-Seed-OSS.jinja", + "models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja", + "models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja", + "models/templates/GLM-4.6.jinja", + "models/templates/GLM-4.7-Flash.jinja", + "models/templates/Kimi-K2-Instruct.jinja", + "models/templates/Kimi-K2-Thinking.jinja", + "models/templates/MiMo-VL.jinja", + "models/templates/MiniMax-M2.jinja", + "models/templates/Mistral-Small-3.2-24B-Instruct-2506.jinja", + "models/templates/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16.jinja", + "models/templates/NVIDIA-Nemotron-Nano-v2.jinja", + "models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja", + "models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja", + "models/templates/Qwen-QwQ-32B.jinja", + "models/templates/Qwen-Qwen2.5-7B-Instruct.jinja", + "models/templates/Qwen3-Coder.jinja", + "models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja", + "models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja", + "models/templates/deepseek-ai-DeepSeek-V3.1.jinja", + "models/templates/fireworks-ai-llama-3-firefunction-v2.jinja", + "models/templates/google-gemma-2-2b-it.jinja", + "models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja", + "models/templates/llama-cpp-deepseek-r1.jinja", + "models/templates/meetkai-functionary-medium-v3.1.jinja", + "models/templates/meetkai-functionary-medium-v3.2.jinja", + "models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja", + "models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja", + "models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja", + "models/templates/mistralai-Ministral-3-14B-Reasoning-2512.jinja", + "models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja", + "models/templates/moonshotai-Kimi-K2.jinja", + "models/templates/openai-gpt-oss-120b.jinja", + "models/templates/unsloth-Apriel-1.5.jinja", + "models/templates/unsloth-mistral-Devstral-Small-2507.jinja", +}; + +struct analysis_options { + std::vector template_paths; + bool analyze_all = false; +}; + +static std::string read_file(const std::string & path) { + std::ifstream fin(path, std::ios::binary); + if (!fin.is_open()) { + throw std::runtime_error("Could not open file: " + path); + } + std::ostringstream buf; + buf << fin.rdbuf(); + return buf.str(); +} + +static void print_usage(const char * program_name) { + LOG_ERR("Usage: %s [options]\n", program_name); + LOG_ERR("\nOptions:\n"); + LOG_ERR(" --template Analyze specific template from test suite (e.g., 'deepseek' or 'DeepSeek-V3.1')\n"); + LOG_ERR(" --template-file Analyze custom template file\n"); + LOG_ERR(" --all Analyze all templates from test suite\n"); + LOG_ERR("\nExamples:\n"); + LOG_ERR(" %s --all\n", program_name); + LOG_ERR(" %s --template deepseek\n", program_name); + LOG_ERR(" %s --template-file my-template.jinja\n", program_name); +} + +static bool parse_options(int argc, char ** argv, analysis_options & opts) { + if (argc < 2) { + print_usage(argv[0]); + return false; + } + + for (int i = 1; i < argc; ++i) { + std::string arg = argv[i]; + + if (arg == "--all") { + opts.analyze_all = true; + } else if (arg == "--template") { + if (i + 1 >= argc) { + LOG_ERR("--template requires an argument\n"); + return false; + } + std::string pattern = argv[++i]; + std::transform(pattern.begin(), pattern.end(), pattern.begin(), ::tolower); + + // Find matching templates + bool found = false; + for (const auto & path : ALL_TEMPLATE_PATHS) { + std::string path_lower = path; + std::transform(path_lower.begin(), path_lower.end(), path_lower.begin(), ::tolower); + if (path_lower.find(pattern) != std::string::npos) { + opts.template_paths.push_back(path); + found = true; + } + } + + if (!found) { + LOG_ERR("No templates found matching: %s\n", pattern.c_str()); + return false; + } + } else if (arg == "--template-file") { + if (i + 1 >= argc) { + LOG_ERR("--template-file requires an argument\n"); + return false; + } + opts.template_paths.push_back(argv[++i]); + } else { + LOG_ERR("Unknown option: %s\n", arg.c_str()); + print_usage(argv[0]); + return false; + } + } + + if (opts.analyze_all) { + opts.template_paths = ALL_TEMPLATE_PATHS; + } + + if (opts.template_paths.empty()) { + LOG_ERR("No templates specified\n"); + print_usage(argv[0]); + return false; + } + + return true; +} + +static json build_tools_definition() { + json parameters_schema = json::object(); + parameters_schema["type"] = "object"; + parameters_schema["properties"] = json::object(); + parameters_schema["properties"]["param1"] = json::object({ + { "type", "string" }, + { "description", "First parameter" } + }); + parameters_schema["properties"]["param2"] = json::object({ + { "type", "string" }, + { "description", "Second parameter" } + }); + parameters_schema["required"] = json::array({ "param1", "param2" }); + + return json::array({ + json{ { "type", "function" }, + { "function", json{ { "name", "test_function_name" }, + { "description", "A test function for debugging" }, + { "parameters", parameters_schema } } } } + }); +} + +// Helper to create a tool call with arguments as JSON object +static json build_tool_call(const std::string & name, const json & args_object, const std::string & id = "call_001") { + return json{ + {"id", id}, + {"type", "function"}, + {"function", json{ + {"name", name}, + {"arguments", args_object} // Pass as JSON object, not serialized string + }} + }; +} + +// Helper functions to create repeating message definitions +static json make_user_msg() { + return json{ + {"role", "user"}, + {"content", "Hello, please help me."} + }; +} + +static json make_user_msg2() { + return json{ + {"role", "user"}, + {"content", "Thank you."} + }; +} + +static json make_user_msg2_continue() { + return json{ + {"role", "user"}, + {"content", "Continue."} + }; +} + +static json make_assistant_no_tool() { + return json{ + {"role", "assistant"}, + {"content", "Let me help you."} + }; +} + +static json make_assistant_one_tool() { + return json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})) + })} + }; +} + +static json make_assistant_two_tools() { + return json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})), + build_tool_call("test_function_name", json::object({{"param1", "value3"}, {"param2", "value4"}}), "call_002") + })} + }; +} + +static json make_assistant_no_reasoning() { + return json{ + {"role", "assistant"}, + {"content", "I can help you with that."} + }; +} + +static json make_assistant_with_reasoning() { + return json{ + {"role", "assistant"}, + {"content", "I can help you with that."}, + {"reasoning_content", "The user is asking for help. I should respond positively."} + }; +} + +static json make_assistant_one_tool_with_reasoning() { + return json{ + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + build_tool_call("test_function_name", json::object({{"param1", "value1"}, {"param2", "value2"}})) + })}, + {"reasoning_content", "I need to call the tool first."} + }; +} + +static void print_diff_split(const std::string & title, const diff_split & diff) { + LOG_ERR("\n%s=== %s ===%s\n", ANSI_CYAN, title.c_str(), ANSI_RESET); + LOG_ERR("%sCommon Prefix:%s '%s'\n", ANSI_PREFIX, ANSI_RESET, diff.prefix.c_str()); + LOG_ERR("%sCommon Suffix:%s '%s'\n", ANSI_SUFFIX, ANSI_RESET, diff.suffix.c_str()); + LOG_ERR("%sLeft (difference):%s '%s'\n", ANSI_GREEN, ANSI_RESET, diff.left.c_str()); + LOG_ERR("%sRight (difference):%s '%s'\n", ANSI_ORANGE, ANSI_RESET, diff.right.c_str()); +} + +static void check_reasoning_variables(const common_chat_template & tmpl) { + LOG_ERR("\n%s=== Checking Reasoning Variables ===%s\n", ANSI_CYAN, ANSI_RESET); + + try { + // Create a list of candidate reasoning/thinking variable names to probe + std::vector candidate_vars = { + "enable_reasoning", + "use_reasoning", + "reasoning_enabled", + "has_reasoning", + "reasoning_mode", + "reasoning_format", + "reasoning_active", + "with_reasoning", + "use_thinking", + "thinking_enabled", + "has_thinking", + "thinking_mode", + "thinking_format", + "thinking_active", + "with_thinking", + "enable_reason", + "reason_enabled", + "enable_think", + "think_enabled", + }; + + jinja::context ctx; + ctx.is_get_stats = true; + + json messages = json::array({ + json{ + {"role", "user"}, + {"content", "Test message"} + }, + json{ + {"role", "assistant"}, + {"content", "Response"}, + {"reasoning_content", "Some reasoning"} + } + }); + + // Set up base context + jinja::global_from_json(ctx, json{ + {"messages", messages}, + {"tools", json::array()}, + {"bos_token", ""}, + {"eos_token", ""}, + {"add_generation_prompt", false}, + {"enable_thinking", true} // Already passed, so we'll exclude this from results + }, true); + + // Add candidate variables as undefined to probe which ones are accessed + for (const auto & var_name : candidate_vars) { + ctx.set_val(var_name, jinja::mk_val(var_name)); + } + + try { + jinja::runtime runtime(ctx); + runtime.execute(tmpl.prog); + } catch (const std::exception & e) { + // Execution may fail, that's okay - we just want to see what variables were accessed + } + + // Check which candidate variables were accessed (stats.used = true) + std::vector accessed_vars; + for (const auto & var_name : candidate_vars) { + auto val = ctx.get_val(var_name); + if (!val->is_undefined()) { + // Variable was overwritten, skip it + continue; + } + if (val->stats.used) { + accessed_vars.push_back(var_name); + } + } + + if (accessed_vars.empty()) { + LOG_ERR("%sNo reasoning/thinking-related variables were queried by the template%s\n", ANSI_GRAY, ANSI_RESET); + } else { + LOG_ERR("Template queries the following reasoning/thinking-related variables:\n"); + for (const auto & var : accessed_vars) { + LOG_ERR(" %s- %s%s\n", ANSI_ORANGE, var.c_str(), ANSI_RESET); + } + } + + } catch (const std::exception & e) { + LOG_ERR("Error checking reasoning variables: %s\n", e.what()); + } +} + +static void analyze_template(const std::string & template_path) { + LOG_ERR("\n"); + LOG_ERR("%s", ANSI_PURPLE); + LOG_ERR("================================================================================\n"); + LOG_ERR(" ANALYZING TEMPLATE: %s\n", template_path.c_str()); + LOG_ERR("================================================================================\n"); + LOG_ERR("%s", ANSI_RESET); + + std::string template_source; + try { + template_source = read_file(template_path); + } catch (const std::exception & e) { + LOG_ERR("Error reading template: %s\n", e.what()); + return; + } + + try { + common_chat_template chat_template(template_source, "", ""); + json tools = build_tools_definition(); + + // ===== CAPABILITIES ANALYSIS ===== + LOG_ERR("\n%s=== Template Capabilities (from jinja::caps) ===%s\n", ANSI_CYAN, ANSI_RESET); + auto caps = chat_template.original_caps(); + LOG_ERR("%ssupports_tools:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_tools ? "true" : "false"); + LOG_ERR("%ssupports_tool_calls:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_tool_calls ? "true" : "false"); + LOG_ERR("%ssupports_system_role:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_system_role ? "true" : "false"); + LOG_ERR("%ssupports_parallel_tool_calls:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_parallel_tool_calls ? "true" : "false"); + LOG_ERR("%ssupports_typed_content:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_typed_content ? "true" : "false"); + LOG_ERR("%ssupports_string_content:%s %s\n", ANSI_BLUE, ANSI_RESET, caps.supports_string_content ? "true" : "false"); + + // ===== DIFFERENTIAL ANALYSIS ===== + + // Test 1: With and without tools (single user message) + { + json user_msg = make_user_msg(); + + autoparser::templates_params params_no_tools; + params_no_tools.messages = json::array({ user_msg }); + params_no_tools.add_generation_prompt = false; + params_no_tools.tools = json::array(); + + autoparser::templates_params params_with_tools = params_no_tools; + params_with_tools.tools = tools; + + std::string output_no_tools = common_chat_template_direct_apply(chat_template, params_no_tools); + std::string output_with_tools = common_chat_template_direct_apply(chat_template, params_with_tools); + + auto diff = calculate_diff_split(output_no_tools, output_with_tools); + print_diff_split("Diff: With vs Without Tools (single user message)", diff); + } + + // Test 2: With and without add_generation_prompt (single user message) + { + json user_msg = make_user_msg(); + + autoparser::templates_params params_no_prompt; + params_no_prompt.messages = json::array({ user_msg }); + params_no_prompt.add_generation_prompt = false; + params_no_prompt.tools = json::array(); + + autoparser::templates_params params_with_prompt = params_no_prompt; + params_with_prompt.add_generation_prompt = true; + + std::string output_no_prompt = common_chat_template_direct_apply(chat_template, params_no_prompt); + std::string output_with_prompt = common_chat_template_direct_apply(chat_template, params_with_prompt); + + auto diff = calculate_diff_split(output_no_prompt, output_with_prompt); + print_diff_split("Diff: With vs Without add_generation_prompt (single user message)", diff); + } + + // Test 3: Assistant with reasoning_content (user, assistant) + { + json user_msg = make_user_msg(); + + autoparser::templates_params params_no_reasoning; + params_no_reasoning.messages = json::array({ user_msg, make_assistant_no_reasoning() }); + params_no_reasoning.add_generation_prompt = false; + params_no_reasoning.enable_thinking = true; + + autoparser::templates_params params_with_reasoning = params_no_reasoning; + params_with_reasoning.messages = json::array({ user_msg, make_assistant_with_reasoning() }); + + std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning); + std::string output_with_reasoning = common_chat_template_direct_apply(chat_template, params_with_reasoning); + + auto diff = calculate_diff_split(output_no_reasoning, output_with_reasoning); + print_diff_split("Diff: With vs Without reasoning_content (user, assistant)", diff); + } + + // Test 4: Assistant with reasoning_content (user, assistant, user) + { + json user_msg = make_user_msg(); + json user_msg2 = make_user_msg2(); + + autoparser::templates_params params_no_reasoning; + params_no_reasoning.messages = json::array({ user_msg, make_assistant_no_reasoning(), user_msg2 }); + params_no_reasoning.add_generation_prompt = false; + params_no_reasoning.enable_thinking = true; + + autoparser::templates_params params_with_reasoning = params_no_reasoning; + params_with_reasoning.messages = json::array({ user_msg, make_assistant_with_reasoning(), user_msg2 }); + + std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning); + std::string output_with_reasoning = common_chat_template_direct_apply(chat_template, params_with_reasoning); + + auto diff = calculate_diff_split(output_no_reasoning, output_with_reasoning); + print_diff_split("Diff: With vs Without reasoning_content (user, assistant, user)", diff); + } + + // Test 5: Tool call in last assistant message (user, assistant) + { + json user_msg = make_user_msg(); + + autoparser::templates_params params_no_tool; + params_no_tool.messages = json::array({ user_msg, make_assistant_no_tool() }); + params_no_tool.add_generation_prompt = false; + params_no_tool.tools = tools; + + autoparser::templates_params params_with_tool = params_no_tool; + params_with_tool.messages = json::array({ user_msg, make_assistant_one_tool() }); + + std::string output_no_tool = common_chat_template_direct_apply(chat_template, params_no_tool); + std::string output_with_tool = common_chat_template_direct_apply(chat_template, params_with_tool); + + auto diff = calculate_diff_split(output_no_tool, output_with_tool); + print_diff_split("Diff: With vs Without tool call (user, assistant)", diff); + } + + // Test 6: Tool call in last assistant message (user, assistant, user) + { + json user_msg = make_user_msg(); + json user_msg2 = make_user_msg2_continue(); + + autoparser::templates_params params_no_tool; + params_no_tool.messages = json::array({ user_msg, make_assistant_no_tool(), user_msg2 }); + params_no_tool.add_generation_prompt = false; + params_no_tool.tools = tools; + + autoparser::templates_params params_with_tool = params_no_tool; + params_with_tool.messages = json::array({ user_msg, make_assistant_one_tool(), user_msg2 }); + + std::string output_no_tool = common_chat_template_direct_apply(chat_template, params_no_tool); + std::string output_with_tool = common_chat_template_direct_apply(chat_template, params_with_tool); + + auto diff = calculate_diff_split(output_no_tool, output_with_tool); + print_diff_split("Diff: With vs Without tool call (user, assistant, user)", diff); + } + + // Test 7: One vs two tool calls (user, assistant) + { + json user_msg = make_user_msg(); + + autoparser::templates_params params_one_tool; + params_one_tool.messages = json::array({ user_msg, make_assistant_one_tool() }); + params_one_tool.add_generation_prompt = false; + params_one_tool.tools = tools; + + autoparser::templates_params params_two_tools = params_one_tool; + params_two_tools.messages = json::array({ user_msg, make_assistant_two_tools() }); + + std::string output_one_tool = common_chat_template_direct_apply(chat_template, params_one_tool); + std::string output_two_tools = common_chat_template_direct_apply(chat_template, params_two_tools); + + auto diff = calculate_diff_split(output_one_tool, output_two_tools); + print_diff_split("Diff: One vs Two tool calls (user, assistant)", diff); + } + + // Test 8: One vs two tool calls (user, assistant, user) + { + json user_msg = make_user_msg(); + json user_msg2 = make_user_msg2_continue(); + + autoparser::templates_params params_one_tool; + params_one_tool.messages = json::array({ user_msg, make_assistant_one_tool(), user_msg2 }); + params_one_tool.add_generation_prompt = false; + params_one_tool.tools = tools; + + autoparser::templates_params params_two_tools = params_one_tool; + params_two_tools.messages = json::array({ user_msg, make_assistant_two_tools(), user_msg2 }); + + std::string output_one_tool = common_chat_template_direct_apply(chat_template, params_one_tool); + std::string output_two_tools = common_chat_template_direct_apply(chat_template, params_two_tools); + + auto diff = calculate_diff_split(output_one_tool, output_two_tools); + print_diff_split("Diff: One vs Two tool calls (user, assistant, user)", diff); + } + + // Test 9: Tool call with vs without reasoning_content (user, assistant) + { + json user_msg = make_user_msg(); + + autoparser::templates_params params_no_reasoning; + params_no_reasoning.messages = json::array({ user_msg, make_assistant_one_tool() }); + params_no_reasoning.add_generation_prompt = false; + params_no_reasoning.tools = tools; + params_no_reasoning.enable_thinking = true; + + autoparser::templates_params params_with_reasoning = params_no_reasoning; + params_with_reasoning.messages = json::array({ user_msg, make_assistant_one_tool_with_reasoning() }); + + std::string output_no_reasoning = common_chat_template_direct_apply(chat_template, params_no_reasoning); + std::string output_with_reasoning = common_chat_template_direct_apply(chat_template, params_with_reasoning); + + auto diff = calculate_diff_split(output_no_reasoning, output_with_reasoning); + print_diff_split("Diff: Tool call with vs without reasoning_content (user, assistant)", diff); + } + + // Check reasoning variables + check_reasoning_variables(chat_template); + + } catch (const std::exception & e) { + LOG_ERR("Analysis failed: %s\n", e.what()); + } +} + +int main(int argc, char ** argv) { + // Set log level to capture all output + common_log_set_verbosity_thold(99); + + analysis_options opts; + if (!parse_options(argc, argv, opts)) { + return 1; + } + + LOG_ERR("\n"); + LOG_ERR("%s", ANSI_PURPLE); + LOG_ERR("================================================================================\n"); + LOG_ERR(" TEMPLATE ANALYSIS TOOL\n"); + LOG_ERR("================================================================================\n"); + LOG_ERR("%s", ANSI_RESET); + LOG_ERR("Analyzing %s%zu%s template(s)\n", ANSI_CYAN, opts.template_paths.size(), ANSI_RESET); + + for (const auto & path : opts.template_paths) { + analyze_template(path); + } + + LOG_ERR("\n"); + LOG_ERR("%s", ANSI_GREEN); + LOG_ERR("================================================================================\n"); + LOG_ERR(" ANALYSIS COMPLETE\n"); + LOG_ERR("================================================================================\n"); + LOG_ERR("%s", ANSI_RESET); + + return 0; +} diff --git a/tools/server/public_legacy/json-schema-to-grammar.mjs b/tools/server/public_legacy/json-schema-to-grammar.mjs index 38576c45fa..bb25887a14 100644 --- a/tools/server/public_legacy/json-schema-to-grammar.mjs +++ b/tools/server/public_legacy/json-schema-to-grammar.mjs @@ -729,6 +729,10 @@ export class SchemaConverter { return this._addRule(ruleName, out.join('')); } else if ((schemaType === 'object') || (Object.keys(schema).length === 0)) { return this._addRule(ruleName, this._addPrimitive('object', PRIMITIVE_RULES['object'])); + } else if (schemaType === undefined && typeof schema === 'object' && !Array.isArray(schema) && schema !== null) { + // No type constraint and no recognized structural keywords (e.g. {"description": "..."}). + // Per JSON Schema semantics this is equivalent to {} and accepts any value. + return this._addRule(ruleName, this._addPrimitive('value', PRIMITIVE_RULES['value'])); } else { if (!(schemaType in PRIMITIVE_RULES)) { throw new Error(`Unrecognized schema: ${JSON.stringify(schema)}`); diff --git a/tools/server/server-task.cpp b/tools/server/server-task.cpp index d3aba18489..32c0d8f481 100644 --- a/tools/server/server-task.cpp +++ b/tools/server/server-task.cpp @@ -1,12 +1,12 @@ -#include "server-common.h" #include "server-task.h" -#include "common.h" -#include "llama.h" #include "chat.h" +#include "common.h" +#include "json-schema-to-grammar.h" +#include "llama.h" #include "sampling.h" #include "speculative.h" -#include "json-schema-to-grammar.h" +#include "server-common.h" using json = nlohmann::ordered_json; @@ -157,7 +157,8 @@ json task_params::to_json(bool only_metrics) const { common_chat_msg task_result_state::update_chat_msg( const std::string & text_added, bool is_partial, - std::vector & diffs) { + std::vector & diffs, + bool filter_tool_calls) { generated_text += text_added; auto msg_prv_copy = chat_msg; SRV_DBG("Parsing chat message: %s\n", generated_text.c_str()); @@ -168,7 +169,64 @@ common_chat_msg task_result_state::update_chat_msg( if (!new_msg.empty()) { new_msg.set_tool_call_ids(generated_tool_call_ids, gen_tool_call_id); chat_msg = new_msg; - diffs = common_chat_msg_diff::compute_diffs(msg_prv_copy, new_msg.empty() ? msg_prv_copy : new_msg); + auto all_diffs = common_chat_msg_diff::compute_diffs(msg_prv_copy, chat_msg); + + if (!filter_tool_calls) { + diffs = std::move(all_diffs); + } else { + for (auto & d : all_diffs) { + // If this is a new type of delta, flush all currently pending tool call names + for (size_t i = 0; i < chat_msg.tool_calls.size(); ++i) { + if (sent_tool_call_names.count(i) || chat_msg.tool_calls[i].name.empty()) { + continue; + } + if (d.tool_call_index != i || !d.tool_call_delta.arguments.empty()) { + common_chat_msg_diff header; + header.tool_call_index = i; + header.tool_call_delta.id = chat_msg.tool_calls[i].id; + header.tool_call_delta.name = chat_msg.tool_calls[i].name; + diffs.push_back(std::move(header)); + sent_tool_call_names.insert(i); + } + } + + if (d.tool_call_index == std::string::npos) { + diffs.push_back(std::move(d)); + } else { + size_t i = d.tool_call_index; + if (sent_tool_call_names.count(i)) { + if (!d.tool_call_delta.arguments.empty()) { + d.tool_call_delta.name = ""; + d.tool_call_delta.id = ""; + diffs.push_back(std::move(d)); + } + } else { + // Not sent yet. + if (!d.tool_call_delta.arguments.empty() || !is_partial) { + d.tool_call_delta.name = chat_msg.tool_calls[i].name; + d.tool_call_delta.id = chat_msg.tool_calls[i].id; + diffs.push_back(std::move(d)); + sent_tool_call_names.insert(i); + } else { + // Suppress + } + } + } + } + // Final check at EOF + if (!is_partial) { + for (size_t i = 0; i < chat_msg.tool_calls.size(); ++i) { + if (!sent_tool_call_names.count(i) && !chat_msg.tool_calls[i].name.empty()) { + common_chat_msg_diff header; + header.tool_call_index = i; + header.tool_call_delta.id = chat_msg.tool_calls[i].id; + header.tool_call_delta.name = chat_msg.tool_calls[i].name; + diffs.push_back(std::move(header)); + sent_tool_call_names.insert(i); + } + } + } + } } return chat_msg; } diff --git a/tools/server/server-task.h b/tools/server/server-task.h index e2e3e5a582..1e342531d8 100644 --- a/tools/server/server-task.h +++ b/tools/server/server-task.h @@ -98,6 +98,7 @@ struct task_result_state { common_chat_msg chat_msg; std::string generated_text; // append new chunks of generated text here std::vector generated_tool_call_ids; + std::unordered_set sent_tool_call_names; // for OpenAI Responses and Anthropic streaming API: // track output item / content block state across chunks @@ -120,7 +121,8 @@ struct task_result_state { common_chat_msg update_chat_msg( const std::string & text_added, bool is_partial, - std::vector & diffs); + std::vector & diffs, + bool filter_tool_calls = false); }; struct server_task { diff --git a/tools/server/tests/unit/test_tool_call.py b/tools/server/tests/unit/test_tool_call.py index b8f0f10863..ba41cd44ea 100755 --- a/tools/server/tests/unit/test_tool_call.py +++ b/tools/server/tests/unit/test_tool_call.py @@ -100,18 +100,19 @@ def do_test_completion_with_required_tool_tiny(server: ServerProcess, tool: dict assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}' # assert len(tool_call.get("id", "")) > 0, f'Expected non empty tool call id in {tool_call}' expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"] - assert expected_function_name == tool_call["function"]["name"] + assert expected_function_name == tool_call["function"]["name"], f'Expected tool name to be {tool_call["function"]["name"]} in {choice["message"]}' actual_arguments = tool_call["function"]["arguments"] - assert isinstance(actual_arguments, str) + assert isinstance(actual_arguments, dict) or isinstance(actual_arguments, str), f'Expected arguments to be a dict or str, got: {actual_arguments}' if argument_key is not None: - actual_arguments = json.loads(actual_arguments) - assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}" + if (isinstance(actual_arguments, str)): + actual_arguments = json.loads(actual_arguments) + assert argument_key in actual_arguments, f"tool arguments: {actual_arguments}, expected: {argument_key}" @pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED]) @pytest.mark.parametrize("template_name,tool,argument_key", [ - ("google-gemma-2-2b-it", TEST_TOOL, "success"), - ("google-gemma-2-2b-it", TEST_TOOL, "success"), + ("Qwen3-Coder", TEST_TOOL, "success"), + ("Qwen3-Coder", TEST_TOOL, "success"), ("meta-llama-Llama-3.3-70B-Instruct", TEST_TOOL, "success"), ("meta-llama-Llama-3.3-70B-Instruct", TEST_TOOL, "success"), ("meta-llama-Llama-3.3-70B-Instruct", PYTHON_TOOL, "code"), From 746368716193bbbfa75abb6da81284bfce99539e Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Fri, 6 Mar 2026 21:25:41 +0100 Subject: [PATCH 04/37] Add @pwilkin to CODEOWNERS for autoparser code (#20174) --- CODEOWNERS | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/CODEOWNERS b/CODEOWNERS index 9d252c9b8d..675c27b252 100644 --- a/CODEOWNERS +++ b/CODEOWNERS @@ -11,6 +11,8 @@ /common/base64.hpp.* @ggerganov /common/build-info.* @ggerganov /common/chat.* @pwilkin +/common/chat-auto*.* @pwilkin +/common/chat-diff-analyzer.* @pwilkin /common/chat-peg-parser.* @aldehir /common/common.* @ggerganov /common/console.* @ggerganov @@ -89,12 +91,13 @@ /src/llama-vocab.* @CISC /src/models/ @CISC /tests/ @ggerganov -/tests/test-chat-.* @pwilkin +/tests/test-chat.* @pwilkin /tools/batched-bench/ @ggerganov /tools/cli/ @ngxson /tools/completion/ @ggerganov /tools/mtmd/ @ngxson /tools/perplexity/ @ggerganov +/tools/parser/ @pwilkin /tools/quantize/ @ggerganov /tools/rpc/ @rgerganov /tools/server/* @ngxson @ggerganov # no subdir From 649f06481e363fa02a53b89af9659645730c367b Mon Sep 17 00:00:00 2001 From: Bartowski <3266127+bartowski1182@users.noreply.github.com> Date: Fri, 6 Mar 2026 16:06:56 -0500 Subject: [PATCH 05/37] quants : Add memsets and other fixes for IQ quants (#19861) * Add memsets and other fixes for IQ quants * Make memset unconditional, change Laux back to L * Move another memset --- ggml/src/ggml-quants.c | 27 +++++++++++++++++++++++---- 1 file changed, 23 insertions(+), 4 deletions(-) diff --git a/ggml/src/ggml-quants.c b/ggml/src/ggml-quants.c index de5cbd75e8..e8e25633fb 100644 --- a/ggml/src/ggml-quants.c +++ b/ggml/src/ggml-quants.c @@ -3104,6 +3104,11 @@ static void quantize_row_iq2_xxs_impl(const float * GGML_RESTRICT x, void * GGML } float scale = make_qp_quants(32, kMaxQ+1, xval, (uint8_t*)L, weight); float eff_max = scale*kMaxQ; + if (eff_max <= 0) { + scales[ib] = 0; + memset(L, 0, 32); + continue; + } float best = 0; for (int is = -6; is <= 6; ++is) { float id = (2*kMaxQ-1+is*0.1f)/eff_max; @@ -3273,9 +3278,9 @@ static void quantize_row_iq2_xs_impl(const float * GGML_RESTRICT x, void * GGML_ } float max = xval[0]; for (int i = 1; i < 16; ++i) max = MAX(max, xval[i]); + memset(L, 0, 16); if (max < GROUP_MAX_EPS) { scales[ib] = 0; - memset(L, 0, 16); continue; } float best = 0; @@ -3714,9 +3719,9 @@ static void quantize_row_iq3_xxs_impl(int grid_size, const float * GGML_RESTRICT } float max = xval[0]; for (int i = 1; i < 32; ++i) max = MAX(max, xval[i]); + memset(L, 0, 32); if (max < GROUP_MAX_EPS_IQ3_XXS) { scales[ib] = 0; - memset(L, 0, 32); continue; } float best = 0; @@ -3922,6 +3927,7 @@ static void quantize_row_iq3_s_impl(int block_size, const float * GGML_RESTRICT } float max = xval[0]; for (int i = 1; i < block_size; ++i) max = MAX(max, xval[i]); + memset(L, 0, block_size); if (!max) { scales[ib] = 0; continue; @@ -4245,6 +4251,7 @@ static void quantize_row_iq1_s_impl(const float * GGML_RESTRICT x, void * GGML_R for (int i = 1; i < block_size; ++i) max = MAX(max, fabsf(xb[i])); if (max < GROUP_MAX_EPS_IQ1_S) { scales[ib] = 0; + shifts[ib] = 1; memset(L, 1, block_size); continue; } @@ -4285,7 +4292,12 @@ static void quantize_row_iq1_s_impl(const float * GGML_RESTRICT x, void * GGML_R } } } - GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_shift != 0); + if (besti1 < 0 || besti2 < 0 || best_shift == 0) { + scales[ib] = 0; + shifts[ib] = 1; + memset(L, 1, block_size); + continue; + } for (int j = 0; j < besti1; ++j) L[idx[2*j]] = 0; for (int j = besti1; j < besti2; ++j) L[idx[2*j]] = 1; for (int j = besti2; j < block_size; ++j) L[idx[2*j]] = 2; @@ -4429,6 +4441,7 @@ static void quantize_row_iq1_m_impl(const float * GGML_RESTRICT x, void * GGML_R for (int i = 1; i < block_size; ++i) max = MAX(max, fabsf(xb[i])); if (max < GROUP_MAX_EPS_IQ1_M) { scales[ib] = 0; + shifts[ib] = 0; memset(L, 1, block_size); continue; } @@ -4527,7 +4540,12 @@ static void quantize_row_iq1_m_impl(const float * GGML_RESTRICT x, void * GGML_R } } } - GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_k >= 0); + if (besti1 < 0 || besti2 < 0 || best_k < 0) { + scales[ib] = 0; + shifts[ib] = 0; + memset(L, 1, block_size); + continue; + } for (int j = 0; j < besti1; ++j) L[idx[2*j]] = 0; for (int j = besti1; j < besti2; ++j) L[idx[2*j]] = 1; for (int j = besti2; j < block_size; ++j) L[idx[2*j]] = 2; @@ -4874,6 +4892,7 @@ static void quantize_row_iq2_s_impl(const float * GGML_RESTRICT x, void * GGML_R } float max = xval[0]; for (int i = 1; i < 16; ++i) max = MAX(max, xval[i]); + memset(L, 0, 16); if (max < GROUP_MAX_EPS_IQ2_S) { scales[ib] = 0; continue; From 2f2923f89526d102bd3c29188db628a8dbf507b6 Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Fri, 6 Mar 2026 22:34:15 +0100 Subject: [PATCH 06/37] Autoparser: add optional argument reshuffle capability (#20171) * Allow reshuffled arguments in tagged argument parser format tool calls. * Remove shuffle just keep the optional parsers in any order * Remove unnecessary import --- common/chat-auto-parser-generator.cpp | 25 +++++--- tests/test-chat.cpp | 87 +++++++++++++++++++++++++++ 2 files changed, 105 insertions(+), 7 deletions(-) diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp index 080bce5002..9a936f892b 100644 --- a/common/chat-auto-parser-generator.cpp +++ b/common/chat-auto-parser-generator.cpp @@ -302,8 +302,9 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte params.at("required").get_to(required); } - // Build parser for each argument - std::vector arg_parsers; + // Build parser for each argument, separating required and optional + std::vector required_parsers; + std::vector optional_parsers; for (const auto & [param_name, param_schema] : properties.items()) { bool is_required = required.find(param_name) != required.end(); std::string type = "object"; @@ -328,20 +329,30 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte p.space()) + p.tool_arg_close(p.literal(arguments.value_suffix))); + auto named_arg = p.rule("tool-" + name + "-arg-" + param_name, arg); if (is_required) { - arg_parsers.push_back(p.rule("tool-" + name + "-arg-" + param_name, arg)); + required_parsers.push_back(named_arg); } else { - arg_parsers.push_back(p.optional(p.rule("tool-" + name + "-arg-" + param_name, arg))); + optional_parsers.push_back(named_arg); } } - // Build arg sequence with space() between consecutive args + // Build required arg sequence in definition order common_peg_parser args_seq = p.eps(); - for (size_t i = 0; i < arg_parsers.size(); i++) { + for (size_t i = 0; i < required_parsers.size(); i++) { if (i > 0) { args_seq = args_seq + p.space(); } - args_seq = args_seq + arg_parsers[i]; + args_seq = args_seq + required_parsers[i]; + } + + // Build optional args with flexible ordering + if (!optional_parsers.empty()) { + common_peg_parser any_opt = p.choice(); + for (const auto & opt : optional_parsers) { + any_opt |= opt; + } + args_seq = args_seq + p.repeat(p.space() + any_opt, 0, (int) optional_parsers.size()); } // Build call_id parser based on position (if supported) diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index fab7a3780c..0bd95af5d4 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -637,6 +637,41 @@ static common_chat_tool quoted_unquoted_tool{ }; +static common_chat_tool tool_2req_4opt{ + /* .name = */ "tool_2req_4opt", + /* .description = */ "Tool with 2 required and 4 optional params", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "req1": { "type": "string", "description": "Required string" }, + "req2": { "type": "integer", "description": "Required int" }, + "opt1": { "type": "string", "description": "Optional string 1" }, + "opt2": { "type": "integer", "description": "Optional int 1" }, + "opt3": { "type": "string", "description": "Optional string 2" }, + "opt4": { "type": "integer", "description": "Optional int 2" } + }, + "required": ["req1", "req2"] + })", +}; + +static common_chat_tool tool_2req_5opt{ + /* .name = */ "tool_2req_5opt", + /* .description = */ "Tool with 2 required and 5 optional params", + /* .parameters = */ R"({ + "type": "object", + "properties": { + "req1": { "type": "string", "description": "Required string" }, + "req2": { "type": "integer", "description": "Required int" }, + "opt1": { "type": "string", "description": "Optional string 1" }, + "opt2": { "type": "integer", "description": "Optional int 1" }, + "opt3": { "type": "string", "description": "Optional string 2" }, + "opt4": { "type": "integer", "description": "Optional int 2" }, + "opt5": { "type": "string", "description": "Optional string 3" } + }, + "required": ["req1", "req2"] + })", +}; + static std::vector tools{ special_function_tool, special_function_tool_with_optional_param, python_tool, html_tool, todo_list }; @@ -1958,6 +1993,58 @@ static void test_template_output_peg_parsers(bool detailed_debug) { { "todo_list", "{\"todos\": [{\"item\": \"Check stuff\", \"selected\": false}, {\"item\": \"Prepare stuff\", \"selected\": true}]}", {} }, }) .run(); + + // Test flexible optional argument ordering (2 required + 4 optional, reversed optional order) + tst.test( + "\n" + "\n" + "\nhello\n\n" + "\n42\n\n" + "\n100\n\n" + "\n200\n\n" + "\n" + "") + .tools({ tool_2req_4opt }) + .expect_tool_calls({ + { "tool_2req_4opt", R"({"req1": "hello", "req2": 42, "opt4": 100, "opt2": 200})", {} }, + }) + .run(); + + // Test flexible optional argument ordering (2 required + 5 optional, reversed optional order) + tst.test( + "\n" + "\n" + "\nworld\n\n" + "\n7\n\n" + "\nlast\n\n" + "\nmiddle\n\n" + "\nfirst\n\n" + "\n" + "") + .tools({ tool_2req_5opt }) + .expect_tool_calls({ + { "tool_2req_5opt", R"({"req1": "world", "req2": 7, "opt5": "last", "opt3": "middle", "opt1": "first"})", {} }, + }) + .run(); + + // Test flexible optional argument ordering (2 required + 5 optional, all 5 in shuffled order) + tst.test( + "\n" + "\n" + "\ntest\n\n" + "\n99\n\n" + "\nc\n\n" + "\na\n\n" + "\ne\n\n" + "\n4\n\n" + "\n2\n\n" + "\n" + "") + .tools({ tool_2req_5opt }) + .expect_tool_calls({ + { "tool_2req_5opt", R"({"req1": "test", "req2": 99, "opt3": "c", "opt1": "a", "opt5": "e", "opt4": 4, "opt2": 2})", {} }, + }) + .run(); } { auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.1.jinja", detailed_debug); From c024d859082183bc4e9446e0a56c8299b23def0f Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Sat, 7 Mar 2026 01:55:33 +0100 Subject: [PATCH 07/37] Autoparser: True streaming (#20177) * Relax atomicity constraint for nicer, more pleasent, True Streaming parsing * Whitespace * Remove redundant atomics --- common/chat-auto-parser-generator.cpp | 30 +++++++++++++++++++++------ 1 file changed, 24 insertions(+), 6 deletions(-) diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp index 9a936f892b..01787cc8dc 100644 --- a/common/chat-auto-parser-generator.cpp +++ b/common/chat-auto-parser-generator.cpp @@ -239,8 +239,6 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context if (!function.close.empty()) { func_parser = func_parser + function.close; } - func_parser = p.atomic(func_parser); - tool_choice |= p.rule("tool-" + name, func_parser); }); @@ -357,13 +355,31 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte // Build call_id parser based on position (if supported) common_peg_parser call_id_section = p.eps(); + bool have_call_id = false; if (call_id.pos == call_id_position::BETWEEN_FUNC_AND_ARGS && !call_id.prefix.empty() && !call_id.suffix.empty()) { - call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix))) + call_id.suffix; + have_call_id = true; + call_id_section = p.optional(call_id.prefix + p.tool_id(p.until(call_id.suffix)) + call_id.suffix); } - auto func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + - call_id_section + p.space() + args_seq; + bool matched_atomic = false; + common_peg_parser func_parser = p.eps(); + if (!function.name_suffix.empty()) { + func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section + p.space() + args_seq; + matched_atomic = true; + } else if (have_call_id) { + func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section) + p.space() + args_seq; + matched_atomic = true; + } else if (!arguments.name_prefix.empty() && properties.size() > 0) { + func_parser = p.atomic(p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section + p.space() + p.peek(p.literal(arguments.name_prefix))) + args_seq; + matched_atomic = true; + } else { + func_parser = p.tool_open(function.name_prefix + p.tool_name(p.literal(name)) + function.name_suffix) + + call_id_section + p.space() + args_seq; + } if (!function.close.empty()) { func_parser = func_parser + p.space() + p.tool_close(p.literal(function.close)); @@ -377,8 +393,10 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte func_parser = func_parser + p.tool_close(p.space()); // force this to process tool closing callbacks in mapper } + if (!matched_atomic) { + func_parser = p.atomic(func_parser); + } - func_parser = p.atomic(func_parser); tool_choice |= p.rule("tool-" + name, func_parser); }); From 6fce5c6a7dba6a3e1df0aad1574b78d1a1970621 Mon Sep 17 00:00:00 2001 From: lhez Date: Fri, 6 Mar 2026 18:03:05 -0800 Subject: [PATCH 08/37] opencl: add l2_norm (#20160) --- ggml/src/ggml-opencl/CMakeLists.txt | 1 + ggml/src/ggml-opencl/ggml-opencl.cpp | 84 +++++++++++++++++++++++++ ggml/src/ggml-opencl/kernels/l2_norm.cl | 71 +++++++++++++++++++++ 3 files changed, 156 insertions(+) create mode 100644 ggml/src/ggml-opencl/kernels/l2_norm.cl diff --git a/ggml/src/ggml-opencl/CMakeLists.txt b/ggml/src/ggml-opencl/CMakeLists.txt index fb3ae17eaf..70802c9c00 100644 --- a/ggml/src/ggml-opencl/CMakeLists.txt +++ b/ggml/src/ggml-opencl/CMakeLists.txt @@ -116,6 +116,7 @@ set(GGML_OPENCL_KERNELS neg norm relu + l2_norm rms_norm rope scale diff --git a/ggml/src/ggml-opencl/ggml-opencl.cpp b/ggml/src/ggml-opencl/ggml-opencl.cpp index 0a2c86c6e2..67e4b9277f 100644 --- a/ggml/src/ggml-opencl/ggml-opencl.cpp +++ b/ggml/src/ggml-opencl/ggml-opencl.cpp @@ -497,6 +497,7 @@ struct ggml_backend_opencl_context { kernel_geglu_f16, kernel_reglu_f16, kernel_swiglu_f16, kernel_geglu_erf_f16, kernel_geglu_quick_f16; cl_kernel kernel_norm, kernel_norm_mul_add; cl_kernel kernel_rms_norm, kernel_rms_norm_mul; + cl_kernel kernel_l2_norm_f32; cl_kernel kernel_group_norm, kernel_group_norm_mul_add; cl_kernel kernel_diag_mask_inf, kernel_diag_mask_inf_8; cl_kernel kernel_diag_f32; @@ -1585,6 +1586,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve GGML_LOG_CONT("."); } + // l2_norm + { +#ifdef GGML_OPENCL_EMBED_KERNELS + const std::string kernel_src { + #include "l2_norm.cl.h" + }; +#else + const std::string kernel_src = read_file("l2_norm.cl"); +#endif + cl_program prog = + build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts); + + CL_CHECK((backend_ctx->kernel_l2_norm_f32 = clCreateKernel(prog, "kernel_l2_norm_f32", &err), err)); + CL_CHECK(clReleaseProgram(prog)); + GGML_LOG_CONT("."); + } + // rope { #ifdef GGML_OPENCL_EMBED_KERNELS @@ -3689,6 +3707,8 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te return true; case GGML_OP_RMS_NORM: return op->ne[0] % 4 == 0 && ggml_is_contiguous_rows(op->src[0]); + case GGML_OP_L2_NORM: + return ggml_is_contiguous_rows(op->src[0]); case GGML_OP_REPEAT: return op->src[0]->type == GGML_TYPE_F32 && op->type == GGML_TYPE_F32; // Assuming F32 for now, can be expanded case GGML_OP_PAD: @@ -7554,6 +7574,64 @@ static void ggml_cl_group_norm(ggml_backend_t backend, const ggml_tensor * src0, backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); } +static void ggml_cl_l2_norm(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + GGML_ASSERT(src0); + GGML_ASSERT(src0->extra); + GGML_ASSERT(dst); + GGML_ASSERT(dst->extra); + + UNUSED(src1); + + ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context; + + ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra; + ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra; + + cl_ulong offset0 = extra0->offset + src0->view_offs; + cl_ulong offsetd = extrad->offset + dst->view_offs; + + float eps; + memcpy(&eps, dst->op_params, sizeof(float)); + + GGML_TENSOR_LOCALS(int, ne0, src0, ne); + GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb); + + size_t sgs; + if (backend_ctx->gpu_family == ADRENO) { + sgs = 64; + } else if (backend_ctx->gpu_family == INTEL) { + sgs = 32; + } else { + GGML_ASSERT(false && "Unsupported GPU"); + } + + cl_kernel kernel = backend_ctx->kernel_l2_norm_f32; + + int nth = sgs; + while (nth < ne00 && nth < (int)backend_ctx->get_kernel_workgroup_size(kernel)) { + nth *= 2; + } + + CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra0->data_device)); + CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0)); + CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extrad->data_device)); + CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offsetd)); + CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &ne00)); + CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne01)); + CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne02)); + CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &ne03)); + CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_ulong), &nb01)); + CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_ulong), &nb02)); + CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb03)); + CL_CHECK(clSetKernelArg(kernel, 11, sizeof(float), &eps)); + CL_CHECK(clSetKernelArg(kernel, 12, sizeof(float)*nth/sgs, NULL)); + + size_t global_work_size[] = {(size_t)ne01*nth, (size_t)ne02, (size_t)ne03}; + size_t local_work_size[] = {(size_t)nth, 1, 1}; + + backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst); +} + static void ggml_cl_tanh(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_ASSERT(src0); GGML_ASSERT(src0->extra); @@ -12184,6 +12262,12 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor } func = ggml_cl_rms_norm; break; + case GGML_OP_L2_NORM: + if (!any_on_device) { + return false; + } + func = ggml_cl_l2_norm; + break; case GGML_OP_GROUP_NORM: if (!any_on_device) { return false; diff --git a/ggml/src/ggml-opencl/kernels/l2_norm.cl b/ggml/src/ggml-opencl/kernels/l2_norm.cl new file mode 100644 index 0000000000..39f400199f --- /dev/null +++ b/ggml/src/ggml-opencl/kernels/l2_norm.cl @@ -0,0 +1,71 @@ +#ifdef cl_intel_required_subgroup_size +#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable +#define INTEL_GPU 1 +#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16))) +#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32))) +#elif defined(cl_qcom_reqd_sub_group_size) +#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable +#define ADRENO_GPU 1 +#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half"))) +#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full"))) +#endif + +#ifdef INTEL_GPU +REQD_SUBGROUP_SIZE_32 +#elif defined (ADRENO_GPU) +REQD_SUBGROUP_SIZE_64 +#endif +kernel void kernel_l2_norm_f32( + global void * src0, + ulong offset0, + global float * dst, + ulong offsetd, + int ne00, + int ne01, + int ne02, + int ne03, + ulong nb01, + ulong nb02, + ulong nb03, + float eps, + local float * sum +) { + src0 = (global void*)((global char*)src0 + offset0); + dst = (global float*)((global char*)dst + offsetd); + + int i03 = get_group_id(2); + int i02 = get_group_id(1); + int i01 = get_group_id(0); + + global float * x = (global float *) ((global char *) src0 + i03*nb03 + i02*nb02 + i01*nb01); + global float * y = (global float *) (dst + i03*ne02*ne01*ne00 + i02*ne01*ne00 + i01*ne00); + + float sumf = 0; + + // parallel sum + for (int i00 = get_local_id(0); i00 < ne00; i00 += get_local_size(0)) { + sumf += x[i00] * x[i00]; + } + sumf = sub_group_reduce_add(sumf); + + if (get_sub_group_local_id() == 0) { + sum[get_sub_group_id()] = sumf; + } + + barrier(CLK_LOCAL_MEM_FENCE); + + // broadcast + for (uint i = get_local_size(0) / get_max_sub_group_size() / 2; i > 0; i /= 2) { + if (get_local_id(0) < i) { + sum[get_local_id(0)] += sum[get_local_id(0) + i]; + } + } + + barrier(CLK_LOCAL_MEM_FENCE); + + const float scale = 1.0f/sqrt(max(sum[0], eps)); + + for (int i00 = get_local_id(0); i00 < ne00; i00 += get_local_size(0)) { + y[i00] = x[i00] * scale; + } +} From c5a778891ba0ddbd4cbb507c823f970595b1adc2 Mon Sep 17 00:00:00 2001 From: Aman Gupta Date: Sat, 7 Mar 2026 15:41:10 +0800 Subject: [PATCH 09/37] ggml: add GATED_DELTA_NET op (#19504) * ggml: add GATED_DELTA_NET op * remove the transpose * add KDA * add qwen35 dense * llama : check for fused gated delta net backend support --------- Co-authored-by: Georgi Gerganov --- ggml/include/ggml.h | 10 ++ ggml/src/ggml-cpu/ggml-cpu.c | 10 ++ ggml/src/ggml-cpu/ops.cpp | 184 ++++++++++++++++++++ ggml/src/ggml-cpu/ops.h | 1 + ggml/src/ggml-cuda/gated_delta_net.cu | 223 +++++++++++++++++++++++++ ggml/src/ggml-cuda/gated_delta_net.cuh | 4 + ggml/src/ggml-cuda/ggml-cuda.cu | 5 + ggml/src/ggml.c | 57 ++++++- src/llama-context.cpp | 42 ++++- src/llama-cparams.h | 2 + src/llama-impl.h | 4 +- src/models/delta-net-base.cpp | 29 ++++ src/models/qwen35.cpp | 3 +- src/models/qwen35moe.cpp | 3 +- tests/test-backend-ops.cpp | 60 +++++++ 15 files changed, 627 insertions(+), 10 deletions(-) create mode 100644 ggml/src/ggml-cuda/gated_delta_net.cu create mode 100644 ggml/src/ggml-cuda/gated_delta_net.cuh diff --git a/ggml/include/ggml.h b/ggml/include/ggml.h index 784d69206b..566e271479 100644 --- a/ggml/include/ggml.h +++ b/ggml/include/ggml.h @@ -556,6 +556,7 @@ extern "C" { GGML_OP_GATED_LINEAR_ATTN, GGML_OP_RWKV_WKV7, GGML_OP_SOLVE_TRI, + GGML_OP_GATED_DELTA_NET, GGML_OP_UNARY, @@ -2463,6 +2464,15 @@ extern "C" { bool lower, bool uni); + GGML_API struct ggml_tensor * ggml_gated_delta_net( + struct ggml_context * ctx, + struct ggml_tensor * q, + struct ggml_tensor * k, + struct ggml_tensor * v, + struct ggml_tensor * g, + struct ggml_tensor * beta, + struct ggml_tensor * state); + // custom operators typedef void (*ggml_custom1_op_t)(struct ggml_tensor * dst , const struct ggml_tensor * a, int ith, int nth, void * userdata); diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c index 7c4026fac4..dc2b5ffaa7 100644 --- a/ggml/src/ggml-cpu/ggml-cpu.c +++ b/ggml/src/ggml-cpu/ggml-cpu.c @@ -2021,6 +2021,10 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm { ggml_compute_forward_solve_tri(params, tensor); } break; + case GGML_OP_GATED_DELTA_NET: + { + ggml_compute_forward_gated_delta_net(params, tensor); + } break; case GGML_OP_MAP_CUSTOM1: { ggml_compute_forward_map_custom1(params, tensor); @@ -2200,6 +2204,7 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { } break; case GGML_OP_COUNT_EQUAL: case GGML_OP_SOLVE_TRI: + case GGML_OP_GATED_DELTA_NET: { n_tasks = n_threads; } break; @@ -2905,6 +2910,11 @@ struct ggml_cplan ggml_graph_plan( { cur = ggml_type_size(node->type)*(n_tasks + node->src[0]->ne[0]*n_tasks); } break; + case GGML_OP_GATED_DELTA_NET: + { + const int64_t S_v = node->src[2]->ne[0]; + cur = S_v * sizeof(float) * n_tasks; + } break; case GGML_OP_COUNT: { GGML_ABORT("fatal error"); diff --git a/ggml/src/ggml-cpu/ops.cpp b/ggml/src/ggml-cpu/ops.cpp index 2c372f9635..331e071a26 100644 --- a/ggml/src/ggml-cpu/ops.cpp +++ b/ggml/src/ggml-cpu/ops.cpp @@ -10380,6 +10380,190 @@ void ggml_compute_forward_solve_tri(const struct ggml_compute_params * params, s } } +// ggml_compute_forward_gated_delta_net +static void ggml_compute_forward_gated_delta_net_one_chunk( + const ggml_compute_params * params, + ggml_tensor * dst, + int64_t ir0, + int64_t ir1) { + + ggml_tensor * src_q = dst->src[0]; + ggml_tensor * src_k = dst->src[1]; + ggml_tensor * src_v = dst->src[2]; + ggml_tensor * src_g = dst->src[3]; + ggml_tensor * src_beta = dst->src[4]; + ggml_tensor * src_state = dst->src[5]; + + const int64_t S_v = src_v->ne[0]; + const int64_t H = src_v->ne[1]; + const int64_t n_tokens = src_v->ne[2]; + const int64_t n_seqs = src_v->ne[3]; + + GGML_ASSERT(ggml_is_contiguous_rows(src_q)); + GGML_ASSERT(ggml_is_contiguous_rows(src_k)); + GGML_ASSERT(ggml_is_contiguous_rows(src_v)); + GGML_ASSERT(ggml_is_contiguous(src_g)); + GGML_ASSERT(ggml_is_contiguous(src_beta)); + GGML_ASSERT(ggml_is_contiguous(src_state)); + + GGML_ASSERT(src_g->ne[0] == 1 || src_g->ne[0] == S_v); + GGML_ASSERT(src_beta->ne[0] == 1); + + GGML_TENSOR_LOCALS(int64_t, neq, src_q, ne); + GGML_TENSOR_LOCALS(size_t, nbq, src_q, nb); + GGML_TENSOR_LOCALS(int64_t, nek, src_k, ne); + GGML_TENSOR_LOCALS(size_t, nbk, src_k, nb); + GGML_TENSOR_LOCALS(int64_t, nev, src_v, ne); + GGML_TENSOR_LOCALS(size_t, nbv, src_v, nb); + GGML_TENSOR_LOCALS(int64_t, neg, src_g, ne); + GGML_TENSOR_LOCALS(size_t, nbg, src_g, nb); + GGML_TENSOR_LOCALS(size_t, nbb, src_beta, nb); + + const bool kda = (neg0 == S_v); + + // scratch layout per thread: [delta(S_v)] + const int64_t scratch_per_thread = S_v; + const int ith = params->ith; + + float * delta = (float *)params->wdata + ith * scratch_per_thread + CACHE_LINE_SIZE_F32; + + // output layout: [attn_scores | new_states] + // attn_scores: S_v * H * n_tokens * n_seqs floats + // new_states: S_v * S_v * H * n_seqs floats + const int64_t attn_score_elems = S_v * H * n_tokens * n_seqs; + float * attn_out_base = (float *)dst->data; + float * state_out_base = (float *)dst->data + attn_score_elems; + + const float * state_in_base = (const float *)src_state->data; + + const int64_t rq1 = nev1 / neq1; + const int64_t rk1 = nev1 / nek1; + const int64_t rq3 = nev3 / neq3; + const int64_t rk3 = nev3 / nek3; + + const float scale = 1.0f / sqrtf((float) S_v); + + for (int64_t ir = ir0; ir < ir1; ++ir) { + const int64_t iv1 = ir % H; // head_index + const int64_t iv3 = ir / H; // sequence + + const int64_t iq1 = iv1 / rq1; + const int64_t ik1 = iv1 / rk1; + + const int64_t iq3 = iv3 / rq3; + const int64_t ik3 = iv3 / rk3; + + float * s_out = state_out_base + (iv3 * H + iv1) * S_v * S_v; + + // copy input state into output buffer and operate in-place + const float * s_in = state_in_base + (iv3 * H + iv1) * S_v * S_v; + memcpy(s_out, s_in, S_v * S_v * sizeof(float)); + + // attn output pointer for first token of this (head, seq) + float * attn_data = attn_out_base + (iv3 * n_tokens * H + iv1) * S_v; + + for (int64_t t = 0; t < n_tokens; t++) { + const float * q_d = (const float *)((const char *)src_q->data + iq3 * nbq3 + t * nbq2 + iq1 * nbq1); + const float * k_d = (const float *)((const char *)src_k->data + ik3 * nbk3 + t * nbk2 + ik1 * nbk1); + const float * v_d = (const float *)((const char *)src_v->data + iv3 * nbv3 + t * nbv2 + iv1 * nbv1); + + const float beta_val = *(const float *)((const char *)src_beta->data + iv3 * nbb3 + t * nbb2 + iv1 * nbb1); + const float * g_d = (const float *)((const char *)src_g->data + iv3 * nbg3 + t * nbg2 + iv1 * nbg1); + + if (kda) { + for (int64_t i = 0; i < S_v; ++i) { + ggml_vec_scale_f32(S_v, &s_out[i * S_v], expf(g_d[i])); + } + } else { + ggml_vec_scale_f32(S_v * S_v, s_out, expf(g_d[0])); + } + + // delta[j] = sum_i S[j][i] * k[i] + memset(delta, 0, S_v * sizeof(float)); + for (int64_t i = 0; i < S_v; ++i) { + ggml_vec_mad_f32(S_v, delta, &s_out[i * S_v], k_d[i]); + } + for (int64_t j = 0; j < S_v; ++j) { + delta[j] = (v_d[j] - delta[j]) * beta_val; + } + + // outer product: S[j][i] += k[i] * delta[j] + for (int64_t i = 0; i < S_v; ++i) { + ggml_vec_mad_f32(S_v, &s_out[i * S_v], delta, k_d[i]); + } + + // attn_out[j] = sum_i S[j][i] * q[i] + memset(attn_data, 0, S_v * sizeof(float)); + for (int64_t i = 0; i < S_v; ++i) { + ggml_vec_mad_f32(S_v, attn_data, &s_out[i * S_v], q_d[i]); + } + ggml_vec_scale_f32(S_v, attn_data, scale); + + attn_data += S_v * H; // advance to next token + } + + } +} + + +static void ggml_compute_forward_gated_delta_net_f32( + const ggml_compute_params * params, + ggml_tensor * dst) { + + ggml_tensor * V = dst->src[2]; + int64_t nr = V->ne[1] * V->ne[3]; + + // disable for NUMA + const bool disable_chunking = ggml_is_numa(); + + int nth = params->nth; + int ith = params->ith; + + // 4x chunks per thread + int nth_scaled = nth * 4; + int64_t chunk_size = (nr + nth_scaled - 1) / nth_scaled; + int64_t nchunk = (nr + chunk_size - 1) / chunk_size; + + if (nth == 1 || nchunk < nth || disable_chunking) { + nchunk = nth; + } + + if (ith == 0) { + ggml_threadpool_chunk_set(params->threadpool, nth); + } + + ggml_barrier(params->threadpool); + + const int64_t dr = (nr + nchunk - 1) / nchunk; + + int current_chunk = ith; + + while (current_chunk < nchunk) { + const int64_t ir0 = dr * current_chunk; + const int64_t ir1 = MIN(ir0 + dr, nr); + + ggml_compute_forward_gated_delta_net_one_chunk(params, dst, ir0, ir1); + current_chunk = ggml_threadpool_chunk_add(params->threadpool, 1); + } +} + +void ggml_compute_forward_gated_delta_net( + const ggml_compute_params * params, + ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + + switch (src0->type) { + case GGML_TYPE_F32: + { + ggml_compute_forward_gated_delta_net_f32(params, dst); + } break; + default: + { + GGML_ABORT("fatal error"); + } + } +} + // ggml_compute_forward_rwkv_wkv7 static void ggml_compute_forward_rwkv_wkv7_f32( diff --git a/ggml/src/ggml-cpu/ops.h b/ggml/src/ggml-cpu/ops.h index 0fdfee7976..3fa1443abc 100644 --- a/ggml/src/ggml-cpu/ops.h +++ b/ggml/src/ggml-cpu/ops.h @@ -102,6 +102,7 @@ void ggml_compute_forward_rwkv_wkv6(const struct ggml_compute_params * params, s void ggml_compute_forward_rwkv_wkv7(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_solve_tri(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_gla(const struct ggml_compute_params * params, struct ggml_tensor * dst); +void ggml_compute_forward_gated_delta_net(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_map_custom1(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_map_custom2(const struct ggml_compute_params * params, struct ggml_tensor * dst); void ggml_compute_forward_map_custom3(const struct ggml_compute_params * params, struct ggml_tensor * dst); diff --git a/ggml/src/ggml-cuda/gated_delta_net.cu b/ggml/src/ggml-cuda/gated_delta_net.cu new file mode 100644 index 0000000000..d8e8111455 --- /dev/null +++ b/ggml/src/ggml-cuda/gated_delta_net.cu @@ -0,0 +1,223 @@ +#include "gated_delta_net.cuh" +#include "ggml-cuda/common.cuh" + +template +__global__ void gated_delta_net_cuda(const float * q, + const float * k, + const float * v, + const float * g, + const float * beta, + const float * curr_state, + float * dst, + int64_t H, + int64_t n_tokens, + int64_t n_seqs, + int64_t sq1, + int64_t sq2, + int64_t sq3, + int64_t sv1, + int64_t sv2, + int64_t sv3, + int64_t sb1, + int64_t sb2, + int64_t sb3, + int64_t rq1, + int64_t rq3, + float scale) { + const int64_t h_idx = blockIdx.x; + const int64_t sequence = blockIdx.y; + const int col = threadIdx.x; // each thread owns one column + + const int64_t iq1 = h_idx / rq1; + const int64_t iq3 = sequence / rq3; + + const int64_t attn_score_elems = S_v * H * n_tokens * n_seqs; + float * attn_data = dst; + float * state = dst + attn_score_elems; + + const int64_t state_offset = (sequence * H + h_idx) * S_v * S_v; + state += state_offset; + curr_state += state_offset; + attn_data += (sequence * n_tokens * H + h_idx) * S_v; + + // Load state column into registers + float s[S_v]; +#pragma unroll + for (int i = 0; i < S_v; i++) { + s[i] = curr_state[i * S_v + col]; + } + + for (int t = 0; t < n_tokens; t++) { + const float * q_t = q + iq3 * sq3 + t * sq2 + iq1 * sq1; + const float * k_t = k + iq3 * sq3 + t * sq2 + iq1 * sq1; + const float * v_t = v + sequence * sv3 + t * sv2 + h_idx * sv1; + + const int64_t gb_offset = sequence * sb3 + t * sb2 + h_idx * sb1; + const float * beta_t = beta + gb_offset; + const float * g_t = g + gb_offset * (KDA ? S_v : 1); + + const float beta_val = *beta_t; + + if constexpr (!KDA) { + const float g_val = expf(*g_t); + + // kv[col] = (S^T @ k)[col] = sum_i S[i][col] * k[i] + float kv_col = 0.0f; +#pragma unroll + for (int i = 0; i < S_v; i++) { + kv_col += s[i] * k_t[i]; + } + + // delta[col] = (v[col] - g * kv[col]) * beta + float delta_col = (v_t[col] - g_val * kv_col) * beta_val; + + // fused: S[i][col] = g * S[i][col] + k[i] * delta[col] + // attn[col] = (S^T @ q)[col] = sum_i S[i][col] * q[i] + float attn_col = 0.0f; +#pragma unroll + for (int i = 0; i < S_v; i++) { + s[i] = g_val * s[i] + k_t[i] * delta_col; + attn_col += s[i] * q_t[i]; + } + + attn_data[col] = attn_col * scale; + } else { + // kv[col] = sum_i g[i] * S[i][col] * k[i] + float kv_col = 0.0f; +#pragma unroll + for (int i = 0; i < S_v; i++) { + kv_col += expf(g_t[i]) * s[i] * k_t[i]; + } + + // delta[col] = (v[col] - kv[col]) * beta + float delta_col = (v_t[col] - kv_col) * beta_val; + + // fused: S[i][col] = g[i] * S[i][col] + k[i] * delta[col] + // attn[col] = (S^T @ q)[col] = sum_i S[i][col] * q[i] + float attn_col = 0.0f; +#pragma unroll + for (int i = 0; i < S_v; i++) { + s[i] = expf(g_t[i]) * s[i] + k_t[i] * delta_col; + attn_col += s[i] * q_t[i]; + } + + attn_data[col] = attn_col * scale; + } + + attn_data += S_v * H; + } + + // Write state back to global memory +#pragma unroll + for (int i = 0; i < S_v; i++) { + state[i * S_v + col] = s[i]; + } +} + +template +static void launch_gated_delta_net( + const float * q_d, const float * k_d, const float * v_d, + const float * g_d, const float * b_d, const float * s_d, + float * dst_d, + int64_t S_v, int64_t H, int64_t n_tokens, int64_t n_seqs, + int64_t sq1, int64_t sq2, int64_t sq3, + int64_t sv1, int64_t sv2, int64_t sv3, + int64_t sb1, int64_t sb2, int64_t sb3, + int64_t rq1, int64_t rq3, + float scale, cudaStream_t stream) { + + dim3 grid_dims(H, n_seqs, 1); + dim3 block_dims(S_v, 1, 1); + + switch (S_v) { + case 32: + gated_delta_net_cuda<32, KDA><<>>( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, + n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, rq1, rq3, scale); + break; + case 64: + gated_delta_net_cuda<64, KDA><<>>( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, + n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, rq1, rq3, scale); + break; + case 128: + gated_delta_net_cuda<128, KDA><<>>( + q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, + n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, rq1, rq3, scale); + break; + default: + GGML_ABORT("fatal error"); + break; + } +} + +void ggml_cuda_op_gated_delta_net(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + ggml_tensor * src_q = dst->src[0]; + ggml_tensor * src_k = dst->src[1]; + ggml_tensor * src_v = dst->src[2]; + ggml_tensor * src_g = dst->src[3]; + ggml_tensor * src_beta = dst->src[4]; + ggml_tensor * src_state = dst->src[5]; + + GGML_TENSOR_LOCALS(int64_t, neq, src_q, ne); + GGML_TENSOR_LOCALS(size_t, nbq, src_q, nb); + GGML_TENSOR_LOCALS(int64_t, nev, src_v, ne); + GGML_TENSOR_LOCALS(size_t, nbv, src_v, nb); + GGML_TENSOR_LOCALS(size_t, nbb, src_beta, nb); + + const int64_t S_v = nev0; + const int64_t H = nev1; + const int64_t n_tokens = nev2; + const int64_t n_seqs = nev3; + + const bool kda = (src_g->ne[0] == S_v); + + const int64_t rq1 = nev1 / neq1; + const int64_t rq3 = nev3 / neq3; + + const float * q_d = (const float *) src_q->data; + const float * k_d = (const float *) src_k->data; + const float * v_d = (const float *) src_v->data; + const float * g_d = (const float *) src_g->data; + const float * b_d = (const float *) src_beta->data; + + const float * s_d = (const float *) src_state->data; + float * dst_d = (float *) dst->data; + + GGML_ASSERT(ggml_is_contiguous_rows(src_q)); + GGML_ASSERT(ggml_is_contiguous_rows(src_k)); + GGML_ASSERT(ggml_is_contiguous_rows(src_v)); + GGML_ASSERT(ggml_are_same_stride(src_q, src_k)); + GGML_ASSERT(src_g->ne[0] == 1 || kda); + GGML_ASSERT(ggml_is_contiguous(src_g)); + GGML_ASSERT(ggml_is_contiguous(src_beta)); + GGML_ASSERT(ggml_is_contiguous(src_state)); + + // strides in floats (beta strides used for both g and beta offset computation) + const int64_t sq1 = nbq1 / sizeof(float); + const int64_t sq2 = nbq2 / sizeof(float); + const int64_t sq3 = nbq3 / sizeof(float); + const int64_t sv1 = nbv1 / sizeof(float); + const int64_t sv2 = nbv2 / sizeof(float); + const int64_t sv3 = nbv3 / sizeof(float); + const int64_t sb1 = nbb1 / sizeof(float); + const int64_t sb2 = nbb2 / sizeof(float); + const int64_t sb3 = nbb3 / sizeof(float); + + const float scale = 1.0f / sqrtf((float) S_v); + + cudaStream_t stream = ctx.stream(); + + if (kda) { + launch_gated_delta_net(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, + S_v, H, n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, rq1, rq3, scale, stream); + } else { + launch_gated_delta_net(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, + S_v, H, n_tokens, n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, + sb1, sb2, sb3, rq1, rq3, scale, stream); + } +} diff --git a/ggml/src/ggml-cuda/gated_delta_net.cuh b/ggml/src/ggml-cuda/gated_delta_net.cuh new file mode 100644 index 0000000000..7375e81c0c --- /dev/null +++ b/ggml/src/ggml-cuda/gated_delta_net.cuh @@ -0,0 +1,4 @@ +#include "common.cuh" +#include "ggml.h" + +void ggml_cuda_op_gated_delta_net(ggml_backend_cuda_context & ctx, ggml_tensor * dst); diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index 54dc43bc08..a8007a0636 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -53,6 +53,7 @@ #include "ggml-cuda/upscale.cuh" #include "ggml-cuda/wkv.cuh" #include "ggml-cuda/gla.cuh" +#include "ggml-cuda/gated_delta_net.cuh" #include "ggml-cuda/set.cuh" #include "ggml-cuda/set-rows.cuh" #include "ggml-cuda/pad_reflect_1d.cuh" @@ -2733,6 +2734,9 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg case GGML_OP_GATED_LINEAR_ATTN: ggml_cuda_op_gated_linear_attn(ctx, dst); break; + case GGML_OP_GATED_DELTA_NET: + ggml_cuda_op_gated_delta_net(ctx, dst); + break; case GGML_OP_RWKV_WKV7: ggml_cuda_op_rwkv_wkv7(ctx, dst); break; @@ -4972,6 +4976,7 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_LEAKY_RELU: case GGML_OP_RWKV_WKV6: case GGML_OP_GATED_LINEAR_ATTN: + case GGML_OP_GATED_DELTA_NET: case GGML_OP_RWKV_WKV7: return true; case GGML_OP_FLASH_ATTN_EXT: diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c index d644cca8a6..aeafc395d7 100644 --- a/ggml/src/ggml.c +++ b/ggml/src/ggml.c @@ -1031,6 +1031,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = { "GATED_LINEAR_ATTN", "RWKV_WKV7", "SOLVE_TRI", + "GATED_DELTA_NET", "UNARY", @@ -1048,7 +1049,7 @@ static const char * GGML_OP_NAME[GGML_OP_COUNT] = { "GLU", }; -static_assert(GGML_OP_COUNT == 95, "GGML_OP_COUNT != 95"); +static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT != 96"); static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "none", @@ -1140,6 +1141,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "gated_linear_attn(k, v, q, gate, s)", "rwkv_wkv7(r, w, k, v, a, b, s)", "A X = B, A triangular, solve X", + "gated_delta_net(q, k, v, g, beta, s)", "unary(x)", @@ -1157,7 +1159,7 @@ static const char * GGML_OP_SYMBOL[GGML_OP_COUNT] = { "glu(x)", }; -static_assert(GGML_OP_COUNT == 95, "GGML_OP_COUNT != 95"); +static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT != 96"); static_assert(GGML_OP_POOL_COUNT == 2, "GGML_OP_POOL_COUNT != 2"); @@ -6124,6 +6126,57 @@ struct ggml_tensor * ggml_solve_tri( return result; } +// ggml_gated_delta_net + +struct ggml_tensor * ggml_gated_delta_net( + struct ggml_context * ctx, + struct ggml_tensor * q, + struct ggml_tensor * k, + struct ggml_tensor * v, + struct ggml_tensor * g, + struct ggml_tensor * beta, + struct ggml_tensor * state) { + GGML_ASSERT(ggml_is_contiguous_rows(q)); + GGML_ASSERT(ggml_is_contiguous_rows(k)); + GGML_ASSERT(ggml_is_contiguous_rows(v)); + GGML_ASSERT(ggml_is_contiguous(g)); + GGML_ASSERT(ggml_is_contiguous(beta)); + GGML_ASSERT(ggml_is_contiguous(state)); + + GGML_ASSERT(q->type == GGML_TYPE_F32); + GGML_ASSERT(k->type == GGML_TYPE_F32); + GGML_ASSERT(v->type == GGML_TYPE_F32); + GGML_ASSERT(g->type == GGML_TYPE_F32); + GGML_ASSERT(beta->type == GGML_TYPE_F32); + GGML_ASSERT(state->type == GGML_TYPE_F32); + + const int64_t S_v = v->ne[0]; + const int64_t H = v->ne[1]; + const int64_t n_tokens = v->ne[2]; + const int64_t n_seqs = v->ne[3]; + + // gate: scalar [1, H, T, B] or vector [S_v, H, T, B] (KDA) + GGML_ASSERT(g->ne[0] == 1 || g->ne[0] == S_v); + GGML_ASSERT(beta->ne[0] == 1); + + GGML_ASSERT(ggml_nelements(state) == S_v * S_v * H * n_seqs); + + // concat output and new_state into a single tensor + // output: S_v * H * n_tokens * n_seqs, state: S_v * S_v * H * n_seqs + const int64_t ne[4] = { S_v * H, n_tokens * n_seqs + S_v * n_seqs, 1, 1 }; + struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne); + + result->op = GGML_OP_GATED_DELTA_NET; + result->src[0] = q; + result->src[1] = k; + result->src[2] = v; + result->src[3] = g; + result->src[4] = beta; + result->src[5] = state; + + return result; +} + //////////////////////////////////////////////////////////////////////////////// struct ggml_hash_set ggml_hash_set_new(size_t size) { diff --git a/src/llama-context.cpp b/src/llama-context.cpp index d050604b2a..abaa5c0f8d 100644 --- a/src/llama-context.cpp +++ b/src/llama-context.cpp @@ -150,6 +150,9 @@ llama_context::llama_context( cparams.flash_attn = params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_DISABLED; cparams.auto_fa = params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO; + cparams.fused_gdn_ar = true; + cparams.fused_gdn_ch = false; // TODO: implement + // with causal attention, the batch size is limited by the context size cparams.n_batch = cparams.causal_attn ? std::min(cparams.n_ctx, params.n_batch) : params.n_batch; @@ -422,7 +425,7 @@ void llama_context::sched_reserve() { if (cparams.auto_fa) { auto * gf = graph_reserve(1, n_seqs, n_outputs, mctx.get(), true); if (!gf) { - throw std::runtime_error("failed to split graph for Flash Attention check"); + throw std::runtime_error("failed to reserve graph for Flash Attention check"); } const size_t prefix_len = strlen(LLAMA_TENSOR_NAME_FATTN) + 1; @@ -432,8 +435,7 @@ void llama_context::sched_reserve() { if (n->op != GGML_OP_FLASH_ATTN_EXT) { continue; } - ggml_backend_dev_t device_fa = ggml_backend_get_device( - ggml_backend_sched_get_tensor_backend(sched.get(), n)); + ggml_backend_dev_t device_fa = ggml_backend_get_device(ggml_backend_sched_get_tensor_backend(sched.get(), n)); // TODO: instead of the tensor names, use a map to keep track of which (FA) tensors belong to which layer GGML_ASSERT(strncmp(n->name, LLAMA_TENSOR_NAME_FATTN "-", prefix_len) == 0); @@ -448,6 +450,7 @@ void llama_context::sched_reserve() { break; } } + if (fa_device_mismatch) { cparams.flash_attn = false; LLAMA_LOG_WARN("%s: Flash Attention was auto, set to disabled\n", __func__); @@ -459,6 +462,39 @@ void llama_context::sched_reserve() { cparams.auto_fa = false; } + if (cparams.fused_gdn_ar) { + auto * gf = graph_reserve(1, n_seqs, n_outputs, mctx.get(), true); + if (!gf) { + throw std::runtime_error("failed to reserve graph for fused Gated Delta Net check"); + } + + const size_t prefix_len = strlen(LLAMA_TENSOR_NAME_FGDNAR) + 1; + bool gdn_device_mismatch = false; + for (int i = 0; i < ggml_graph_n_nodes(gf); i++) { + ggml_tensor * n = ggml_graph_node(gf, i); + if (n->op != GGML_OP_GATED_DELTA_NET) { + continue; + } + ggml_backend_dev_t device_gdn = ggml_backend_get_device(ggml_backend_sched_get_tensor_backend(sched.get(), n)); + + GGML_ASSERT(strncmp(n->name, LLAMA_TENSOR_NAME_FGDNAR "-", prefix_len) == 0); + const int il = std::stoi(n->name + prefix_len); + ggml_backend_dev_t device_kv = model.dev_layer(il); + if (device_gdn != device_kv) { + LLAMA_LOG_WARN("%s: layer %d is assigned to device %s but the fused Gated Delta Net tensor " + "is assigned to device %s (usually due to missing support)\n", + __func__, il, ggml_backend_dev_name(device_kv), ggml_backend_dev_name(device_gdn)); + gdn_device_mismatch = true; + break; + } + } + + if (gdn_device_mismatch) { + cparams.fused_gdn_ar = false; + LLAMA_LOG_WARN("%s: fused Gated Delta Net not supported, set to disabled\n", __func__); + } + } + // reserve worst-case graph int n_splits_pp = -1; int n_nodes_pp = -1; diff --git a/src/llama-cparams.h b/src/llama-cparams.h index 2da3bbd6f9..333922468c 100644 --- a/src/llama-cparams.h +++ b/src/llama-cparams.h @@ -31,6 +31,8 @@ struct llama_cparams { bool offload_kqv; bool flash_attn; bool auto_fa; + bool fused_gdn_ar; // use fused gated delta net (autoregressive) + bool fused_gdn_ch; // use fused gated delta net (chunked) bool no_perf; bool warmup; bool op_offload; diff --git a/src/llama-impl.h b/src/llama-impl.h index dfd9fee9f4..ee27ac1bea 100644 --- a/src/llama-impl.h +++ b/src/llama-impl.h @@ -70,4 +70,6 @@ std::string llama_format_tensor_shape(const struct ggml_tensor * t); std::string gguf_kv_to_str(const struct gguf_context * ctx_gguf, int i); -#define LLAMA_TENSOR_NAME_FATTN "__fattn__" +#define LLAMA_TENSOR_NAME_FATTN "__fattn__" +#define LLAMA_TENSOR_NAME_FGDNAR "__fgdnar__" +#define LLAMA_TENSOR_NAME_FGDNCH "__fgdnch__" diff --git a/src/models/delta-net-base.cpp b/src/models/delta-net-base.cpp index c57abbb5b7..b0be62fc68 100644 --- a/src/models/delta-net-base.cpp +++ b/src/models/delta-net-base.cpp @@ -1,5 +1,7 @@ #include "models.h" +#include "llama-impl.h" + // utility to get one slice from the third dimension // input dim: [x, y, c, b] // output dim: [x, y, 1, b] @@ -39,6 +41,13 @@ std::pair llm_build_delta_net_base::build_delta_ne GGML_ASSERT(b->ne[0] == 1 && b->ne[1] == H_v && b->ne[2] == n_tokens && b->ne[3] == n_seqs); GGML_ASSERT(s->ne[0] == S_v && s->ne[1] == S_v && s->ne[2] == H_v && s->ne[3] == n_seqs); + if (cparams.fused_gdn_ch) { + //ggml_tensor * result = ggml_gated_delta_net(ctx0, q, k, v, g, b, s); + //cb(result, LLAMA_TENSOR_NAME_FGDNCH, il); + + GGML_ABORT("not implemented yet"); + } + const float scale = 1.0f / sqrtf(S_k); q = ggml_scale(ctx0, q, scale); @@ -316,6 +325,26 @@ std::pair llm_build_delta_net_base::build_delta_ne GGML_ASSERT(b->ne[0] == 1 && b->ne[1] == H_v && b->ne[2] == n_tokens && b->ne[3] == n_seqs); GGML_ASSERT(s->ne[0] == S_v && s->ne[1] == S_v && s->ne[2] == H_v && s->ne[3] == n_seqs); + if (cparams.fused_gdn_ar) { + ggml_tensor * result = ggml_gated_delta_net(ctx0, q, k, v, g, b, s); + cb(result, LLAMA_TENSOR_NAME_FGDNAR, il); + + ggml_tensor * output = ggml_view_4d(ctx0, result, + S_v, H_v, n_tokens, n_seqs, + ggml_row_size(result->type, S_v), + ggml_row_size(result->type, S_v * H_v), + ggml_row_size(result->type, S_v * H_v * n_tokens), 0); + + ggml_tensor * new_state = ggml_view_4d(ctx0, result, + S_v, S_v, H_v, n_seqs, + ggml_row_size(result->type, S_v), + ggml_row_size(result->type, S_v * S_v), + ggml_row_size(result->type, S_v * S_v * H_v), + ggml_row_size(result->type, S_v * H_v * n_tokens * n_seqs)); + + return {output, new_state}; + } + const float scale = 1.0f / sqrtf(S_k); q = ggml_scale(ctx0, q, scale); diff --git a/src/models/qwen35.cpp b/src/models/qwen35.cpp index bacf7a4c2e..afc5a1aad7 100644 --- a/src/models/qwen35.cpp +++ b/src/models/qwen35.cpp @@ -332,8 +332,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear( cb(k_conv, "k_conv_predelta", il); cb(v_conv, "v_conv_predelta", il); - // Choose between build_delta_net_chunking, build_delta_net_recurrent, and build_delta_net_autoregressive based on n_tokens - std::pair attn_out; // pair of (output, new_state) + std::pair attn_out; if (n_seq_tokens == 1) { attn_out = build_delta_net_autoregressive(q_conv, k_conv, v_conv, gate, beta, state, il); } else { diff --git a/src/models/qwen35moe.cpp b/src/models/qwen35moe.cpp index 22d708f206..17291ec230 100644 --- a/src/models/qwen35moe.cpp +++ b/src/models/qwen35moe.cpp @@ -332,8 +332,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear( cb(k_conv, "k_conv_predelta", il); cb(v_conv, "v_conv_predelta", il); - // Choose between build_delta_net_chunking, build_delta_net_recurrent, and build_delta_net_autoregressive based on n_tokens - std::pair attn_out; // pair of (output, new_state) + std::pair attn_out; if (n_seq_tokens == 1) { attn_out = build_delta_net_autoregressive(q_conv, k_conv, v_conv, gate, beta, state, il); } else { diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index faa771e086..32a83b001d 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -3665,6 +3665,51 @@ struct test_rwkv_wkv6 : public test_case { } }; +// GGML_OP_GATED_DELTA_NET +struct test_gated_delta_net : public test_case { + const ggml_type type; + + const int64_t head_count; + const int64_t head_size; + const int64_t n_seq_tokens; + const int64_t n_seqs; + const int v_repeat; + const bool permuted; + const bool kda; + + std::string vars() override { + return VARS_TO_STR8(type, head_count, head_size, n_seq_tokens, n_seqs, v_repeat, permuted, kda); + } + + test_gated_delta_net(ggml_type type = GGML_TYPE_F32, + int64_t head_count = 4, int64_t head_size = 16, int64_t n_seq_tokens = 1, int64_t n_seqs = 1, + int v_repeat = 1, bool permuted = false, bool kda = false) + : type(type), head_count(head_count), head_size(head_size), n_seq_tokens(n_seq_tokens), n_seqs(n_seqs), + v_repeat(v_repeat), permuted(permuted), kda(kda) {} + + ggml_tensor * build_graph(ggml_context * ctx) override { + ggml_tensor * q; + ggml_tensor * k; + ggml_tensor * v; + if (permuted) { + // create with dims 1 and 2 swapped, then permute back to get non-contiguous layout + q = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count, n_seqs), 0, 2, 1, 3); + k = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count, n_seqs), 0, 2, 1, 3); + v = ggml_permute(ctx, ggml_new_tensor_4d(ctx, type, head_size, n_seq_tokens, head_count * v_repeat, n_seqs), 0, 2, 1, 3); + } else { + q = ggml_new_tensor_4d(ctx, type, head_size, head_count, n_seq_tokens, n_seqs); + k = ggml_new_tensor_4d(ctx, type, head_size, head_count, n_seq_tokens, n_seqs); + v = ggml_new_tensor_4d(ctx, type, head_size, head_count * v_repeat, n_seq_tokens, n_seqs); + } + const int64_t g_ne0 = kda ? head_size : 1; + ggml_tensor * g = ggml_new_tensor_4d(ctx, type, g_ne0, head_count * v_repeat, n_seq_tokens, n_seqs); + ggml_tensor * beta = ggml_new_tensor_4d(ctx, type, 1, head_count * v_repeat, n_seq_tokens, n_seqs); + ggml_tensor * state = ggml_new_tensor_2d(ctx, type, head_size * v_repeat * head_size * head_count, n_seqs); + ggml_tensor * out = ggml_gated_delta_net(ctx, q, k, v, g, beta, state); + return out; + } +}; + // GGML_OP_GATED_LINEAR_ATTN struct test_gla : public test_case { const ggml_type type; @@ -8405,6 +8450,21 @@ static std::vector> make_test_cases_eval() { } } + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 32, 128, 1, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 16, 64, 1, 2)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 1)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 8, 32, 4, 2, 2)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 1, 1, true)); + // KDA (vector gate) + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 1, 1, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 1, 2, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 32, 4, 1, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 8, 32, 4, 2, 2, false, true)); + test_cases.emplace_back(new test_gated_delta_net(GGML_TYPE_F32, 4, 64, 4, 2, 1, true, true)); + #if 0 // these tests are disabled to save execution time, sbut they can be handy for debugging test_cases.emplace_back(new test_llama(2, true)); From 213c4a0b81788e058c30479842954fb0815be61a Mon Sep 17 00:00:00 2001 From: Neo Zhang Date: Sun, 8 Mar 2026 12:00:07 +0800 Subject: [PATCH 10/37] [SYCL] supprt Flash Attention for fp32/fp16/Q4/Q5/Q8 (#20190) * support flash-attention for fp32/fp16/Q4/Q5/Q8 * rm warining * update for JIT --- docs/backend/SYCL.md | 31 + docs/ops.md | 2 +- docs/ops/SYCL.csv | 23688 ++++++++++------ ggml/src/ggml-sycl/CMakeLists.txt | 6 + ggml/src/ggml-sycl/backend.hpp | 1 + ggml/src/ggml-sycl/common.hpp | 226 +- ggml/src/ggml-sycl/convert.cpp | 70 +- ggml/src/ggml-sycl/convert.hpp | 17 +- ggml/src/ggml-sycl/count-equal.cpp | 2 +- ggml/src/ggml-sycl/dpct/helper.hpp | 772 + ggml/src/ggml-sycl/fattn-common.hpp | 1179 + ggml/src/ggml-sycl/fattn-tile.cpp | 55 + ggml/src/ggml-sycl/fattn-tile.hpp | 1338 + ggml/src/ggml-sycl/fattn-vec.hpp | 667 + ggml/src/ggml-sycl/fattn.cpp | 225 + ggml/src/ggml-sycl/fattn.hpp | 22 + ggml/src/ggml-sycl/ggml-sycl.cpp | 60 +- ggml/src/ggml-sycl/presets.hpp | 3 + ggml/src/ggml-sycl/softmax.cpp | 10 +- .../fattn-tile-instance-dkq112-dv112.cpp | 5 + .../fattn-tile-instance-dkq128-dv128.cpp | 5 + .../fattn-tile-instance-dkq256-dv256.cpp | 5 + .../fattn-tile-instance-dkq40-dv40.cpp | 5 + .../fattn-tile-instance-dkq576-dv512.cpp | 5 + .../fattn-tile-instance-dkq64-dv64.cpp | 5 + .../fattn-tile-instance-dkq72-dv72.cpp | 5 + .../fattn-tile-instance-dkq80-dv80.cpp | 5 + .../fattn-tile-instance-dkq96-dv96.cpp | 5 + .../fattn-vec-instance-f16-f16.cpp | 7 + .../fattn-vec-instance-f16-q4_0.cpp | 7 + .../fattn-vec-instance-f16-q4_1.cpp | 7 + .../fattn-vec-instance-f16-q5_0.cpp | 7 + .../fattn-vec-instance-f16-q5_1.cpp | 7 + .../fattn-vec-instance-f16-q8_0.cpp | 7 + .../fattn-vec-instance-q4_0-f16.cpp | 7 + .../fattn-vec-instance-q4_0-q4_0.cpp | 7 + .../fattn-vec-instance-q4_0-q4_1.cpp | 7 + .../fattn-vec-instance-q4_0-q5_0.cpp | 7 + .../fattn-vec-instance-q4_0-q5_1.cpp | 7 + .../fattn-vec-instance-q4_0-q8_0.cpp | 7 + .../fattn-vec-instance-q4_1-f16.cpp | 7 + .../fattn-vec-instance-q4_1-q4_0.cpp | 7 + .../fattn-vec-instance-q4_1-q4_1.cpp | 7 + .../fattn-vec-instance-q4_1-q5_0.cpp | 7 + .../fattn-vec-instance-q4_1-q5_1.cpp | 7 + .../fattn-vec-instance-q4_1-q8_0.cpp | 7 + .../fattn-vec-instance-q5_0-f16.cpp | 7 + .../fattn-vec-instance-q5_0-q4_0.cpp | 7 + .../fattn-vec-instance-q5_0-q4_1.cpp | 7 + .../fattn-vec-instance-q5_0-q5_0.cpp | 7 + .../fattn-vec-instance-q5_0-q5_1.cpp | 7 + .../fattn-vec-instance-q5_0-q8_0.cpp | 7 + .../fattn-vec-instance-q5_1-f16.cpp | 7 + .../fattn-vec-instance-q5_1-q4_0.cpp | 7 + .../fattn-vec-instance-q5_1-q4_1.cpp | 7 + .../fattn-vec-instance-q5_1-q5_0.cpp | 7 + .../fattn-vec-instance-q5_1-q5_1.cpp | 7 + .../fattn-vec-instance-q5_1-q8_0.cpp | 7 + .../fattn-vec-instance-q8_0-f16.cpp | 7 + .../fattn-vec-instance-q8_0-q4_0.cpp | 7 + .../fattn-vec-instance-q8_0-q4_1.cpp | 7 + .../fattn-vec-instance-q8_0-q5_0.cpp | 7 + .../fattn-vec-instance-q8_0-q5_1.cpp | 7 + .../fattn-vec-instance-q8_0-q8_0.cpp | 7 + ggml/src/ggml-sycl/vecdotq.hpp | 13 + 65 files changed, 20091 insertions(+), 8593 deletions(-) create mode 100644 ggml/src/ggml-sycl/fattn-common.hpp create mode 100644 ggml/src/ggml-sycl/fattn-tile.cpp create mode 100644 ggml/src/ggml-sycl/fattn-tile.hpp create mode 100644 ggml/src/ggml-sycl/fattn-vec.hpp create mode 100644 ggml/src/ggml-sycl/fattn.cpp create mode 100644 ggml/src/ggml-sycl/fattn.hpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp create mode 100644 ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp diff --git a/docs/backend/SYCL.md b/docs/backend/SYCL.md index dd4c66dbe9..7e9d6f8dbe 100644 --- a/docs/backend/SYCL.md +++ b/docs/backend/SYCL.md @@ -9,6 +9,7 @@ - [Linux](#linux) - [Windows](#windows) - [Environment Variable](#environment-variable) +- [Design Rule](#design-rule) - [Known Issue](#known-issues) - [Q&A](#qa) - [TODO](#todo) @@ -41,6 +42,9 @@ The following releases are verified and recommended: ## News +- 2026.03 + - Support Flash-Attention: less memory usage, performance impact depends on LLM. + - 2026.02 - Remove support for Nvidia & AMD GPU, because the oneAPI plugin for Nvidia & AMD GPU is unavailable: download/installation channels are out of work. User can't build up the software for Nvidia & AMD GPU. @@ -685,18 +689,45 @@ use 1 SYCL GPUs: [0] with Max compute units:512 | Name | Value | Function | |-------------------|------------------|---------------------------------------------------------------------------------------------------------------------------| | GGML_SYCL_DEBUG | 0 (default) or 1 | Enable log function by macro: GGML_SYCL_DEBUG | +| GGML_SYCL_ENABLE_FLASH_ATTN | 1 (default) or 0| Enable Flash-Attention. It can reduce memory usage. The performance impact depends on the LLM.| | GGML_SYCL_DISABLE_OPT | 0 (default) or 1 | Disable optimize features for Intel GPUs. (Recommended to 1 for intel devices older than Gen 10) | | GGML_SYCL_DISABLE_GRAPH | 0 or 1 (default) | Disable running computations through SYCL Graphs feature. Disabled by default because SYCL Graph is still on development, no better performance. | | GGML_SYCL_DISABLE_DNN | 0 (default) or 1 | Disable running computations through oneDNN and always use oneMKL. | | ZES_ENABLE_SYSMAN | 0 (default) or 1 | Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory.
Recommended to use when --split-mode = layer | | UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS | 0 (default) or 1 | Support malloc device memory more than 4GB.| +## Design Rule +- Open to all contributors. + +- All code change should be useful to user: + - Fix bug. + - Add new function. + - Improve the performance/usage. + - Make code be easy to maintain. + - ... + +- Don't accept the codes of following cases: + - Break legacy function. + - Reduce the performance of legacy case in default. + - Not completed work/the functionality cannot be demonstrated. + +- Encourage to use environment variable to control features to be opened/closed. + - User can evaluate the feature without rebuild the code. + - Recommend the best features to user by setting them be opened as default. + +- Design the code based on the published official releases of oneAPI packages: compiler, library, driver, OS kernel. + +- Developers need to maintain the code they submit. ## Known Issues - `Split-mode:[row]` is not supported. +- Missed the AOT (Ahead-of-Time) in buiding. + - Good: build quickly, smaller size of binary file. + - Bad: The startup is slow (JIT) in first time, but subsequent performance is unaffected. + ## Q&A - Error: `error while loading shared libraries: libsycl.so: cannot open shared object file: No such file or directory`. diff --git a/docs/ops.md b/docs/ops.md index 8213bc6abf..f3dceeee6b 100644 --- a/docs/ops.md +++ b/docs/ops.md @@ -45,7 +45,7 @@ Legend: | EXP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | EXPM1 | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | | FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | -| FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | ❌ | ❌ | +| FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | FLOOR | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | GATED_LINEAR_ATTN | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | | GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | diff --git a/docs/ops/SYCL.csv b/docs/ops/SYCL.csv index c1622cc6f0..222d1be4f9 100644 --- a/docs/ops/SYCL.csv +++ b/docs/ops/SYCL.csv @@ -1,4 +1,5 @@ "backend_name","op_name","op_params","test_mode","supported","error_message","backend_reg_name" +"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL" "SYCL0","ABS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" "SYCL0","ABS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" "SYCL0","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" @@ -5057,12 +5058,18 @@ "SYCL0","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","SYCL" "SYCL0","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","1","yes","SYCL" "SYCL0","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","1","yes","SYCL" -"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","1","yes","SYCL" -"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","1","yes","SYCL" -"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","1","yes","SYCL" -"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","SYCL" -"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","SYCL" -"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","SYCL" +"SYCL0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","0","no","SYCL" +"SYCL0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","0","no","SYCL" "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","SYCL" "SYCL0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","SYCL" @@ -5508,230 +5515,334 @@ "SYCL0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","SYCL" "SYCL0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","SYCL" "SYCL0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" -"SYCL0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","SYCL" 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+"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" +"SYCL0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","SYCL" "SYCL0","ADD1","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" "SYCL0","ADD1","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","SYCL" @@ -5744,49 +5855,57 @@ "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","SYCL" "SYCL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","1","yes","SYCL" -"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=0","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=1","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","SYCL" "SYCL0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000000","support","1","yes","SYCL" -"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3]","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=0","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=1","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","SYCL" "SYCL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","1","yes","SYCL" -"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=0","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=1","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","SYCL" "SYCL0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000001","support","1","yes","SYCL" -"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3]","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=0","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=1","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","SYCL" "SYCL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000100","support","1","yes","SYCL" -"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=0","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=1","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","SYCL" "SYCL0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000100","support","1","yes","SYCL" -"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3]","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=0","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=1","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","SYCL" "SYCL0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.100000","support","1","yes","SYCL" -"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=0","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=1","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","SYCL" "SYCL0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","SYCL" "SYCL0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.100000","support","1","yes","SYCL" -"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3]","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=0","support","1","yes","SYCL" +"SYCL0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=1","support","1","yes","SYCL" "SYCL0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=1","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","SYCL" "SYCL0","SSM_CONV","type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","SYCL" @@ -6673,6 +6792,10 @@ "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=193,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=3,k=4,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","SYCL" +"SYCL0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,1,2,3],k_v=64,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" "SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL" @@ -8772,12 +8895,19 @@ "SYCL0","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL" "SYCL0","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","SYCL" "SYCL0","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SQR","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SQRT","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","LOG","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","SIN","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SIN","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","COS","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","COS","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","SYCL" +"SYCL0","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","SYCL" "SYCL0","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","SYCL" +"SYCL0","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","SYCL" "SYCL0","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" "SYCL0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","SYCL" @@ -8798,12 +8928,19 @@ "SYCL0","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","SYCL" "SYCL0","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","SYCL" "SYCL0","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","COS","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" +"SYCL0","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","SYCL" +"SYCL0","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","SYCL" "SYCL0","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","SYCL" +"SYCL0","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","SYCL" "SYCL0","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" "SYCL0","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","SYCL" "SYCL0","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","SYCL" @@ -9532,25 +9669,65 @@ "SYCL0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL" "SYCL0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","0","no","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" +"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL" "SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL" "SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL" "SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL" @@ -10005,30 +10182,41 @@ "SYCL0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","0","no","SYCL" "SYCL0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","0","no","SYCL" "SYCL0","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" -"SYCL0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","SYCL" "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","0","no","SYCL" "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","0","no","SYCL" "SYCL0","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","0","no","SYCL" +"SYCL0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[32,1,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[32,256,1,1]","support","1","yes","SYCL" +"SYCL0","MEAN","type=f32,ne=[32768,1,1,1]","support","1","yes","SYCL" +"SYCL0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL" +"SYCL0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","SYCL" +"SYCL0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL" +"SYCL0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","SYCL" +"SYCL0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","0","no","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","0","no","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","0","no","SYCL" -"SYCL0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","SYCL" -"SYCL0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL" +"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=0","support","0","no","SYCL" +"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=0,slice=1","support","0","no","SYCL" +"SYCL0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=1","support","0","no","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","SYCL" -"SYCL0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","SYCL" -"SYCL0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","SYCL" -"SYCL0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL" -"SYCL0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","SYCL" "SYCL0","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","SYCL" -"SYCL0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","SYCL" -"SYCL0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","SYCL" "SYCL0","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","1","yes","SYCL" "SYCL0","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","1","yes","SYCL" -"SYCL0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1],stride_dim=-1","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=-1","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=-1","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=1","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=2","support","1","yes","SYCL" +"SYCL0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[64,16,2,3],stride_dim=3","support","1","yes","SYCL" "SYCL0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","SYCL" "SYCL0","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0,circular=0","support","1","yes","SYCL" +"SYCL0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","1","yes","SYCL" "SYCL0","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","1","yes","SYCL" "SYCL0","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","1","yes","SYCL" "SYCL0","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","1","yes","SYCL" @@ -10087,8817 +10275,15187 @@ "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[128,128,4,1],ne_rhs=[32,128,4,1]","support","0","no","SYCL" "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[200,64,4,4]","support","0","no","SYCL" "SYCL0","SOLVE_TRI","type=f32,ne_lhs=[64,64,4,4],ne_rhs=[384,64,4,4]","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=0","support","1","yes","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=0","support","1","yes","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=0","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=0","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1,circular=1","support","0","no","SYCL" -"SYCL0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1,circular=1","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=128,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=192,hsv=192,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" 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-"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","0","no","SYCL" -"SYCL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" "SYCL0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","SYCL" "SYCL0","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" "SYCL0","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","0","no","SYCL" +"SYCL1","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","SYCL" +"SYCL1","ABS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","ABS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","NEG","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","NEG","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","STEP","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","STEP","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","TANH","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","TANH","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","RELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","RELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","SIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","SIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","GELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","GELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","GELU_QUICK","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","GELU_QUICK","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","SILU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","SILU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","HARDSWISH","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","HARDSWISH","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","HARDSIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","EXP","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","EXP","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","EXPM1","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","SYCL" +"SYCL1","EXPM1","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","SYCL" +"SYCL1","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","ABS","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","ABS","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","SGN","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","SGN","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","NEG","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","NEG","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","STEP","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","STEP","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","TANH","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","TANH","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","ELU","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","ELU","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","RELU","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","RELU","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","SIGMOID","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","SIGMOID","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","GELU","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","GELU","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","GELU_QUICK","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","GELU_QUICK","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","SILU","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","SILU","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","HARDSWISH","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","HARDSWISH","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","HARDSIGMOID","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","EXP","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","EXP","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","EXPM1","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","SYCL" +"SYCL1","EXPM1","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","SYCL" +"SYCL1","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","FLOOR","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","SYCL" +"SYCL1","FLOOR","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","SYCL" +"SYCL1","CEIL","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","CEIL","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","ROUND","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","SYCL" +"SYCL1","ROUND","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","SYCL" +"SYCL1","TRUNC","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","SYCL" +"SYCL1","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","SYCL" +"SYCL1","ABS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","ABS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","NEG","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","NEG","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","STEP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","STEP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","TANH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","TANH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","RELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","RELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","SIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","SIGMOID","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","GELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","GELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","GELU_QUICK","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","GELU_QUICK","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","SILU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","SILU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","HARDSWISH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","HARDSWISH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","HARDSIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","HARDSIGMOID","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","EXP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","EXP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","EXPM1","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","SYCL" +"SYCL1","EXPM1","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","SYCL" +"SYCL1","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","FLOOR","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","FLOOR","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","CEIL","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","CEIL","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","ROUND","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","ROUND","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","TRUNC","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","SYCL" +"SYCL1","TRUNC","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","SYCL" +"SYCL1","ABS","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","ABS","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","SGN","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" +"SYCL1","SGN","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","SYCL" +"SYCL1","NEG","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","SYCL" 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+"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[197,32,1,1],ne_kernel=[16,32,32,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=3,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=2,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL" +"SYCL1","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","SYCL" +"SYCL1","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","SYCL" +"SYCL1","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","SYCL" 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--- a/ggml/src/ggml-sycl/CMakeLists.txt +++ b/ggml/src/ggml-sycl/CMakeLists.txt @@ -25,6 +25,11 @@ ggml_add_backend_library(ggml-sycl file(GLOB GGML_HEADERS_SYCL "*.hpp") file(GLOB GGML_SOURCES_SYCL "*.cpp") +file(GLOB SRCS "template-instances/fattn-tile*.cpp") +list(APPEND GGML_SOURCES_SYCL ${SRCS}) +file(GLOB SRCS "template-instances/fattn-vec*.cpp") +list(APPEND GGML_SOURCES_SYCL ${SRCS}) + target_sources(ggml-sycl PRIVATE ${GGML_HEADERS_SYCL} ${GGML_SOURCES_SYCL}) if (WIN32) @@ -145,6 +150,7 @@ else() endif() if (GGML_SYCL_GRAPH) + message(STATUS "find GGML_SYCL_GRAPH") target_compile_definitions(ggml-sycl PRIVATE GGML_SYCL_GRAPH) endif() diff --git a/ggml/src/ggml-sycl/backend.hpp b/ggml/src/ggml-sycl/backend.hpp index 75657f3fca..b30b7f2beb 100644 --- a/ggml/src/ggml-sycl/backend.hpp +++ b/ggml/src/ggml-sycl/backend.hpp @@ -23,6 +23,7 @@ #include "dequantize.hpp" #include "dmmv.hpp" #include "element_wise.hpp" +#include "fattn.hpp" #include "gla.hpp" #include "im2col.hpp" #include "mmq.hpp" diff --git a/ggml/src/ggml-sycl/common.hpp b/ggml/src/ggml-sycl/common.hpp index 04c9e1d786..298fddc103 100644 --- a/ggml/src/ggml-sycl/common.hpp +++ b/ggml/src/ggml-sycl/common.hpp @@ -19,10 +19,13 @@ #include #include "dpct/helper.hpp" +#include "ggml.h" +#include "ggml-impl.h" #include "ggml-sycl.h" #include "presets.hpp" #include "sycl_hw.hpp" +namespace syclexp = sycl::ext::oneapi::experimental; #if GGML_SYCL_DNNL #include "dnnl.hpp" @@ -31,6 +34,9 @@ #define GGML_COMMON_DECL_SYCL #define GGML_COMMON_IMPL_SYCL +#define SYCL_FLASH_ATTN //remove it to disable FLASH_ATTENTION in building. +#define SYCL_FAST_FP16 //don't change. remove it will break fattn-tile.hpp building + /* suppress warning spam */ #pragma clang diagnostic push #pragma clang diagnostic ignored "-Wnested-anon-types" @@ -45,6 +51,8 @@ void ggml_sycl_host_free(void* ptr); extern int g_ggml_sycl_debug; extern int g_ggml_sycl_disable_optimize; extern int g_ggml_sycl_prioritize_dmmv; +extern int g_ggml_sycl_enable_flash_attention; + #if defined(__clang__) && __has_builtin(__builtin_expect) // Hint the optimizer to pipeline the more likely following instruction in branches @@ -170,6 +178,10 @@ static size_t g_scratch_offset = 0; int get_current_device_id(); +inline int ggml_sycl_get_device() { + return get_current_device_id(); +} + inline dpct::err0 ggml_sycl_set_device(const int device) try { int current_device_id; SYCL_CHECK(CHECK_TRY_ERROR(current_device_id = get_current_device_id())); @@ -194,11 +206,14 @@ struct optimize_feature { }; struct sycl_device_info { - int cc; // compute capability + int cc; // compute capability int nsm; // number of streaming multiprocessors (CUDA) maps to the maximum // number of compute units on a SYCL device. // size_t smpb; // max. shared memory per block size_t smpbo; // max. shared memory per block (with opt-in) + int warp_size; // max sub_group_size of SYCL + int max_wg_per_cu; // max work groups per compute unit - refer to + // cudaOccupancyMaxActiveBlocksPerMultiprocessor bool vmm; // virtual memory support size_t total_vram; //sycl_hw_info hw_info; \\ device id and aarch, currently not used @@ -435,13 +450,15 @@ warp_reduce_sum(sycl::float2 a, const sycl::nd_item<3>& item_ct1) { return a; } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ int warp_reduce_sum(int x) { return sycl::reduce_over_group( sycl::ext::oneapi::this_work_item::get_sub_group(), x, sycl::plus<>()); } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ float warp_reduce_sum(float x) { #pragma unroll for (int offset = width / 2; offset > 0; offset >>= 1) { @@ -451,7 +468,19 @@ static __dpct_inline__ float warp_reduce_sum(float x) { return x; } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template +static __dpct_inline__ float warp_reduce_sum(float x, const sycl::nd_item<3>& item_ct1) { +#pragma unroll + for (int offset = width / 2; offset > 0; offset >>= 1) { + x += dpct::permute_sub_group_by_xor( + item_ct1.get_sub_group(), x, offset); + } + return x; +} + +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ sycl::float2 warp_reduce_sum(sycl::float2 a) { #pragma unroll for (int offset = width / 2; offset > 0; offset >>= 1) { @@ -465,7 +494,8 @@ static __dpct_inline__ sycl::float2 warp_reduce_sum(sycl::float2 a) { return a; } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ sycl::half2 warp_reduce_sum(sycl::half2 a) { #pragma unroll for (int offset = width / 2; offset > 0; offset >>= 1) { @@ -481,7 +511,52 @@ static constexpr int ggml_sycl_get_physical_warp_size() { return WARP_SIZE; } -template +/* use WARP_SIZE or WARP_32_SIZE*/ +template +static __dpct_inline__ int warp_reduce_all(int x) { + if (width == ggml_sycl_get_physical_warp_size()) { + return sycl::all_of_group( + sycl::ext::oneapi::this_work_item::get_sub_group(), + (~0xffffffff & + (0x1 << sycl::ext::oneapi::this_work_item::get_sub_group() + .get_local_linear_id())) || + x); + } else { +#pragma unroll + for (int offset = width / 2; offset > 0; offset >>= 1) { + x = dpct::permute_sub_group_by_xor( + sycl::ext::oneapi::this_work_item::get_sub_group(), x, + offset, width) && + x; + } + return x; + } +} + +/* use WARP_SIZE or WARP_32_SIZE*/ +template +static __dpct_inline__ int warp_reduce_any(int x) { + if (width == ggml_sycl_get_physical_warp_size()) { + return sycl::any_of_group( + sycl::ext::oneapi::this_work_item::get_sub_group(), + (0xffffffff & + (0x1 << sycl::ext::oneapi::this_work_item::get_sub_group() + .get_local_linear_id())) && + x); + } else { +#pragma unroll + for (int offset = width / 2; offset > 0; offset >>= 1) { + x = dpct::permute_sub_group_by_xor( + sycl::ext::oneapi::this_work_item::get_sub_group(), x, + offset, width) || + x; + } + return x; + } +} + +/* use WARP_SIZE or WARP_32_SIZE*/ +template static __dpct_inline__ float warp_reduce_max(float x) { #pragma unroll for (int offset = width / 2; offset > 0; offset >>= 1) { @@ -629,6 +704,42 @@ static const sycl::uint3 init_fastdiv_values(uint32_t d) { return sycl::uint3(mp, L, d); } +// Maximum number of bytes that can be copied in a single instruction. +// Set by test result. +static constexpr int ggml_sycl_get_max_cpy_bytes() { + return 16; +} + +// Aligned memory transfers of 8/16 bytes can be faster than 2 transfers with 4 bytes. +template +static __dpct_inline__ void ggml_sycl_memcpy_1(void * dst, const void * src) { + if constexpr (alignment != 0) { + static_assert(nbytes % alignment == 0, "bad alignment"); + } + constexpr int nb_per_cpy = alignment == 0 ? nbytes : alignment; + +#pragma unroll + for (int i = 0; i < nbytes/nb_per_cpy; ++i) { + if constexpr (nb_per_cpy == 1) { + ((char *) dst)[i] = ((const char *) src)[i]; + } else if constexpr (nb_per_cpy == 2) { + ((short *) dst)[i] = ((const short *) src)[i]; + } else if constexpr (nb_per_cpy == 4) { + ((int *) dst)[i] = ((const int *) src)[i]; + } else if constexpr (nb_per_cpy == 8) { + ((sycl::int2 *) dst)[i] = ((const sycl::int2 *) src)[i]; + } else if constexpr (nb_per_cpy == 16) { + ((sycl::int4 *) dst)[i] = ((const sycl::int4 *) src)[i]; + } else { + static_assert(nbytes == 0 && nbytes == -1, "bad nbytes"); + } + } +} +template +sycl::half2 __dpct_inline__ make_half2( T x, T y) { + sycl::half2 res(static_cast(x),static_cast(y)); + return res; +} static __dpct_inline__ uint32_t fastdiv(uint32_t n, const sycl::uint3 fastdiv_values) { const uint32_t hi = sycl::mul_hi(n, fastdiv_values.x()); @@ -636,6 +747,17 @@ static __dpct_inline__ uint32_t fastdiv(uint32_t n, const sycl::uint3 fastdiv_va } +template +sycl::float2 __dpct_inline__ make_float2( T x, T y) { + sycl::float2 res(static_cast(x),static_cast(y)); + return res; +} + +sycl::float2 __dpct_inline__ __half22float2(sycl::half2 &H) { + sycl::float2 float2_value(static_cast(H.x()), static_cast(H.y())); + return float2_value; +} + static __dpct_inline__ sycl::uint2 fast_div_modulo(uint32_t n, const sycl::uint3 fastdiv_values) { const uint32_t div_val = fastdiv(n, fastdiv_values); const uint32_t mod_val = n - div_val * fastdiv_values.z(); @@ -659,5 +781,97 @@ static __dpct_inline__ float ggml_sycl_e8m0_to_fp32(uint8_t x) { return result; } +sycl::float2 __dpct_inline__ __half22float2(const sycl::half2 &H) { + sycl::float2 float2_value(static_cast(H.x()), static_cast(H.y())); + return float2_value; +} + +float __dpct_inline__ __half2float(sycl::half H) { + return static_cast(H); +} + +static __dpct_inline__ void ggml_sycl_mad(float & acc, const float v, const float u) { + acc += v*u; +} + +static __dpct_inline__ void ggml_sycl_mad(float & acc, const sycl::float2 v, const sycl::float2 u) { + acc += v.x() * u.x(); + acc += v.y() * u.y(); +} + +static __dpct_inline__ void ggml_sycl_mad(float & acc, const sycl::half2 v, const sycl::half2 u) { +#ifdef GGML_SYCL_F16 + const sycl::float2 tmp = (v * u).template convert(); + acc += tmp.x() + tmp.y(); +#else + const sycl::float2 tmpv = __half22float2(v); + const sycl::float2 tmpu = __half22float2(u); + acc += tmpv.x() * tmpu.x(); + acc += tmpv.y() * tmpu.y(); +#endif // GGML_SYCL_F16 +} + +static __dpct_inline__ void ggml_sycl_mad(sycl::half2 & acc, const sycl::half2 v, const sycl::half2 u) { +#ifdef GGML_SYCL_F16 + acc += v*u; +#else + const sycl::float2 tmpv = __half22float2(v); + const sycl::float2 tmpu = __half22float2(u); + sycl::float2 tmpacc = __half22float2(acc); + // tmpacc.x += tmpv.x() * tmpu.x(); + // tmpacc.y += tmpv.y() * tmpu.y(); + sycl::float2 tmp1(tmpacc.x() + tmpv.x() * tmpu.x(), tmpacc.y() + tmpv.y() * tmpu.y()); + acc = make_half2(tmp1.x(), tmp1.y()); +#endif // GGML_SYCL_F16 +} + +template +struct ggml_sycl_unroll { + template + void operator()(const Func & f, Args... args) const { + f(n - 1, args...); + ggml_sycl_unroll{}(f, args...); + } +}; + +template <> +struct ggml_sycl_unroll<1> { + template + void operator()(const Func & f, Args... args) const { + f(0, args...); + } +}; + +static __dpct_inline__ sycl::half2 ggml_sycl_hmax2(const sycl::half2 a, const sycl::half2 b) { + sycl::half2 ret; + reinterpret_cast(ret.x()) = + sycl::vec(sycl::fmax(a[0], b[0])).convert()[0]; + reinterpret_cast(ret.y()) = + sycl::vec(sycl::fmax(a[1], b[1])).convert()[0]; + return ret; +} + +static __dpct_inline__ sycl::half ggml_sycl_hmax(const sycl::half a, const sycl::half b) { + return sycl::vec( + sycl::fmax(sycl::vec(a).convert()[0], + sycl::vec(b).convert()[0])) + .convert()[0]; +} + +static __dpct_inline__ uint32_t __hgt2_mask(const sycl::half2 a, const sycl::half2 b) { + const uint32_t mask_low = 0x0000FFFF * (float(a[0]) > float(b[0])); + const uint32_t mask_high = 0xFFFF0000 * (float(a[1]) > float(b[1])); + return mask_low | mask_high; +} + +static __dpct_inline__ uint32_t fastmodulo(uint32_t n, const sycl::uint3 fastdiv_values) { + // expects fastdiv_values to contain in (see init_fastdiv_values) + return n - fastdiv(n, fastdiv_values) * fastdiv_values.z(); +} + +static bool fast_fp16_available(const int cc) { + GGML_UNUSED(cc); + return true; //Intel GPUs always support FP16. +} #endif // GGML_SYCL_COMMON_HPP diff --git a/ggml/src/ggml-sycl/convert.cpp b/ggml/src/ggml-sycl/convert.cpp index 8bdae36458..d17aca2cac 100644 --- a/ggml/src/ggml-sycl/convert.cpp +++ b/ggml/src/ggml-sycl/convert.cpp @@ -482,6 +482,63 @@ static void dequantize_row_mxfp4_sycl(const void * vx, dst_t * y, const int64_t }); } +template +static void dequantize_block_nc(const void * __restrict__ vx, dst_t * __restrict__ y, + const int64_t ne00, const int64_t ne01, const int64_t ne02, + const int64_t s01, const int64_t s02, const int64_t s03) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int64_t i00 = 2 * (int64_t(item_ct1.get_local_range(2)) * item_ct1.get_group(2) + item_ct1.get_local_id(2)); + + if (i00 >= ne00) { + return; + } + + const int64_t i01 = item_ct1.get_group(1); + const int64_t i02 = item_ct1.get_group(0) % ne02; + const int64_t i03 = item_ct1.get_group(0) / ne02; + + const int64_t ibx0 = i03*s03 + i02*s02 + i01*s01; + + const int64_t ib = ibx0 + i00/qk; // block index + const int64_t iqs = (i00%qk)/qr; // quant index + const int64_t iybs = i00 - i00%qk; // y block start index + const int64_t y_offset = qr == 1 ? 1 : qk/2; + + // dequantize + #ifdef GGML_SYCL_F16 + sycl::half2 v; + #else + sycl::float2 v; + #endif + + dequantize_kernel(vx, ib, iqs, v); + + const int64_t iy0 = ((i03*ne02 + i02)*ne01 + i01)*ne00 + iybs + iqs; + y[iy0 + 0] = ggml_sycl_cast(v.x()); + y[iy0 + y_offset] = ggml_sycl_cast(v.y()); +} + + +template +static void dequantize_block_nc_sycl(const void * vx, + dst_t * y, + const int64_t ne00, + const int64_t ne01, + const int64_t ne02, + const int64_t ne03, + const int64_t s01, + const int64_t s02, + const int64_t s03, + dpct::queue_ptr stream) { + const dpct::dim3 num_blocks((ne00 + 2 * SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2 * SYCL_DEQUANTIZE_BLOCK_SIZE), ne01, + ne02 * ne03); + stream->parallel_for(sycl::nd_range<3>(num_blocks * sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + dequantize_block_nc(vx, y, ne00, ne01, ne02, s01, s02, s03); + }); +} template static void convert_unary_nc(const void * __restrict__ vx, dst_t * __restrict__ y, const int64_t ne00, const int64_t ne01, const int64_t ne02, const int64_t s01, const int64_t s02, const int64_t s03, @@ -662,7 +719,8 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) { } } -to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type) { + +to_fp16_nc_sycl_t ggml_get_to_fp16_nc_sycl(ggml_type type) { switch (type) { case GGML_TYPE_F32: return convert_unary_nc_sycl; @@ -670,6 +728,16 @@ to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type) { case GGML_TYPE_BF16: return convert_unary_nc_sycl; #endif + case GGML_TYPE_Q4_0: + return dequantize_block_nc_sycl; + case GGML_TYPE_Q4_1: + return dequantize_block_nc_sycl; + case GGML_TYPE_Q5_0: + return dequantize_block_nc_sycl; + case GGML_TYPE_Q5_1: + return dequantize_block_nc_sycl; + case GGML_TYPE_Q8_0: + return dequantize_block_nc_sycl; default: return nullptr; } diff --git a/ggml/src/ggml-sycl/convert.hpp b/ggml/src/ggml-sycl/convert.hpp index f8cb573e36..f93bd0df7d 100644 --- a/ggml/src/ggml-sycl/convert.hpp +++ b/ggml/src/ggml-sycl/convert.hpp @@ -29,6 +29,21 @@ using to_t_nc_sycl_t = void (*)(const void * x, T * y, int64_t ne00, int64_t ne0 int64_t s01, int64_t s02, int64_t s03, dpct::queue_ptr queue); typedef to_t_nc_sycl_t to_fp16_nc_sycl_t; -to_fp16_nc_sycl_t get_to_fp16_nc_sycl(ggml_type type); +to_fp16_nc_sycl_t ggml_get_to_fp16_nc_sycl(ggml_type type); + +template + inline dst_t ggml_sycl_cast(src_t x) { + if constexpr (std::is_same_v) { + return x; + } else if constexpr (std::is_same_v) { + return sycl::ext::oneapi::bfloat16(float(x)); + } else if constexpr (std::is_same_v) { + return static_cast(x); + } else if constexpr(std::is_same_v) { + return int32_t(x); + } else { + return float(x); + } +} #endif // GGML_SYCL_CONVERT_HPP diff --git a/ggml/src/ggml-sycl/count-equal.cpp b/ggml/src/ggml-sycl/count-equal.cpp index b0a8b4820d..4580354cd9 100644 --- a/ggml/src/ggml-sycl/count-equal.cpp +++ b/ggml/src/ggml-sycl/count-equal.cpp @@ -18,7 +18,7 @@ static void count_equal(const T *__restrict__ x, const T *__restrict__ y, nequal += xi == yi; } - nequal = warp_reduce_sum(nequal); + nequal = warp_reduce_sum(nequal); if (item_ct1.get_local_id(2) != 0) { return; diff --git a/ggml/src/ggml-sycl/dpct/helper.hpp b/ggml/src/ggml-sycl/dpct/helper.hpp index ece66a7ac1..791d3cac52 100644 --- a/ggml/src/ggml-sycl/dpct/helper.hpp +++ b/ggml/src/ggml-sycl/dpct/helper.hpp @@ -2997,6 +2997,778 @@ namespace dpct return 0; } + template + class args_selector; + + /// args_selector is a helper class for extracting arguments from an + /// array of pointers to arguments or buffer of arguments to pass to a + /// kernel function. + /// + /// \param R(Ts...) The type of the kernel + /// \param n_nondefault_params The number of nondefault parameters of the + /// kernel (excluding parameters that like sycl::nd_item, etc.) \param + /// n_default_params The number of default parameters of the kernel + /// + /// Example usage: + /// With the following kernel: + /// void foo(sycl::float2 *x, int n, sycl::nd_item<3> item_ct1, float + /// f=.1) {} + /// and with the declaration: + /// args_selector<2, 1, decltype(foo)> selector(kernelParams, extra); + /// we have: + /// selector.get<0>() returns a reference to sycl::float*, + /// selector.get<1>() returns a reference to int, + /// selector.get<2>() returns a reference to float + template + class args_selector { + private: + void **kernel_params; + char *args_buffer; + + template static constexpr int account_for_default_params() { + constexpr int n_total_params = sizeof...(Ts); + if constexpr (i >= n_nondefault_params) { + return n_total_params - n_default_params + + (i - n_nondefault_params); + } else { + return i; + } + } + + public: + /// Get the type of the ith argument of R(Ts...) + /// \param [in] i Index of parameter to get + /// \returns Type of ith parameter + template + using arg_type = std::tuple_element_t(), + std::tuple>; + static constexpr int params_num = sizeof...(Ts); + + private: + template static constexpr int get_offset() { + if constexpr (i == 0) { + // we can assume args_buffer is properly aligned to the + // first argument + return 0; + } else { + constexpr int prev_off = get_offset(); + constexpr int prev_past_end = + prev_off + sizeof(arg_type); + using T = arg_type; + // is the past-the-end of the i-1st element properly aligned + // with the ith element's alignment? + if constexpr (prev_past_end % alignof(T) == 0) { + return prev_past_end; + } + // otherwise bump prev_past_end to match alignment + else { + return prev_past_end + + (alignof(T) - (prev_past_end % alignof(T))); + } + } + } + + static char *get_args_buffer(void **extra) { + if (!extra) + return nullptr; + for (; (std::size_t)*extra != 0; ++extra) { + if ((std::size_t)*extra == 1) { + return static_cast(*(extra + 1)); + } + } + return nullptr; + } + + public: + /// If kernel_params is nonnull, then args_selector will + /// extract arguments from kernel_params. Otherwise, it + /// will extract them from extra. + /// \param [in] kernel_params Array of pointers to arguments + /// a or null pointer. + /// \param [in] extra Array containing pointer to argument buffer. + args_selector(void **kernel_params, void **extra) + : kernel_params(kernel_params), + args_buffer(get_args_buffer(extra)) {} + + /// Get a reference to the ith argument extracted from kernel_params + /// or extra. + /// \param [in] i Index of argument to get + /// \returns Reference to the ith argument + template arg_type &get() { + if (kernel_params) { + return *static_cast *>(kernel_params[i]); + } else { + return *reinterpret_cast *>(args_buffer + + get_offset()); + } + } + }; // COPY from DPCT head file + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/util.hpp + + /// Utility class for launching SYCL kernels through kernel + /// function wrapper. + /// For example: + /// A SYCL kernel function: + /// void kernel_func(int *ptr, sycl::nd_item<3> item); + /// Kernel function wrapper: + /// void kernel_func_wrapper(int *ptr) { + /// sycl::queue queue = *dpct::kernel_launcher::_que; + /// unsigned int localMemSize = dpct::kernel_launcher::_local_mem_size; + /// sycl::nd_range<3> nr = dpct::kernel_launcher::_nr; + /// queue.parallel_for( + /// nr, + /// [=](sycl::nd_item<3> item_ct1) { + /// kernel_func(ptr, item_ct1); + /// }); + /// } + /// Then launch the kernel through wrapper like: + /// typedef void(*fpt)(int *); + /// fpt fp = kernel_func_wrapper; + /// dpct::kernel_launcher::launch(fp, dpct::dim3(1), dpct::dim3(1), 0, 0, + /// device_ptr); + /// If the origin function type is erased, then need to register it first: + /// void *fp = (void *)wrapper_register(&kernel_func_wrapper).get(); + /// dpct::kernel_launcher::launch(fp, dpct::dim3(1), dpct::dim3(1), args, + /// 0, 0); + class kernel_launcher { + template + static void launch_helper(FuncT &&func, ArgSelector &selector, + std::index_sequence) { + func(selector.template get()...); + } + static void set_execution_config(dim3 group_range, dim3 local_range, + unsigned int local_mem_size, + queue_ptr que) { + if (que) { + _que = que; + } else { + _que = &get_default_queue(); + } + _nr = sycl::nd_range<3>( + static_cast>(group_range * local_range), + static_cast>(local_range)); + _local_mem_size = local_mem_size; + + + }; + static inline std::mutex kernel_function_ptr_map_mutex; + + public: + /// Variables for storing execution configuration. + static inline thread_local sycl::queue *_que = nullptr; + static inline thread_local sycl::nd_range<3> _nr = sycl::nd_range<3>(); + static inline thread_local unsigned int _local_mem_size = 0; + /// Map for retrieving launchable functor from a raw pointer. + static inline std::map< + const void *, + std::function> + kernel_function_ptr_map = {}; + + /// Registers a kernel function pointer with a corresponding launchable + /// functor. + /// \param [in] func Pointer to the kernel function. + /// \param [in] launcher Functor to handle kernel invocation. + static void register_kernel_ptr( + const void *func, + std::function + launcher) { + std::lock_guard lock(kernel_function_ptr_map_mutex); + kernel_function_ptr_map[func] = std::move(launcher); + } + /// Launches a kernel function with arguments provided directly through + /// kernel function wrapper. + /// \tparam FuncT Type of the kernel function wrapper. + /// \tparam ArgsT Types of kernel arguments. + /// \param [in] func Pointer to the kernel function wrapper. + /// \param [in] group_range SYCL group range. + /// \param [in] local_range SYCL local range. + /// \param [in] local_mem_size The size of local memory required by the + /// kernel function. \param [in] que SYCL queue used to execute kernel. + /// \param [in] args Kernel arguments. + template + static std::enable_if_t, void> + launch(FuncT *func, dim3 group_range, dim3 local_range, + unsigned int local_mem_size, queue_ptr que, ArgsT... args) { + set_execution_config(group_range, local_range, local_mem_size, que); + func(args...); + } + /// Launches a kernel function through registered kernel function + /// wrapper. \param [in] func Pointer to the registered kernel function + /// wrapper. \param [in] group_range SYCL group range. \param [in] + /// local_range SYCL local range. \param [in] args Array of pointers to + /// kernel arguments. \param [in] local_mem_size The size of local + /// memory required by the kernel function. \param [in] que SYCL queue + /// used to execute kernel. + static void launch(const void *func, dim3 group_range, dim3 local_range, + void **args, unsigned int local_mem_size, + queue_ptr que) { + std::lock_guard lock(kernel_function_ptr_map_mutex); + auto Iter = kernel_function_ptr_map.find(func); + if (Iter == kernel_function_ptr_map.end()) { + throw std::runtime_error("dpct::launch() : no registered " + "kernel function wrapper found."); + } + (Iter->second)(group_range, local_range, args, local_mem_size, que); + } + /// Launches a kernel function with packed arguments through kernel + /// function wrapper. + /// \tparam FuncT Type of the kernel function wrapper. + /// \param [in] func Pointer to the kernel function wrapper. + /// \param [in] group_range SYCL group range. + /// \param [in] local_range SYCL local range. + /// \param [in] args Array of pointers to kernel arguments. + /// \param [in] local_mem_size The size of local memory required by the + /// kernel function. \param [in] que SYCL queue used to execute kernel. + template + static std::enable_if_t, void> + launch(FuncT *func, dim3 group_range, dim3 local_range, void **args, + unsigned int local_mem_size, queue_ptr que) { + constexpr size_t p_num = args_selector<0, 0, FuncT>::params_num; + set_execution_config(group_range, local_range, local_mem_size, que); + args_selector selector(args, nullptr); + launch_helper(func, selector, std::make_index_sequence{}); + } + }; // COPY from DPCT head file + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/kernel.hpp + + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/util.hpp + template + T select_from_sub_group( + sycl::sub_group g, + T x, + int remote_local_id, + int logical_sub_group_size = 32) { + unsigned int start_index = g.get_local_linear_id() / + logical_sub_group_size * + logical_sub_group_size; + return sycl::select_from_group( + g, x, start_index + remote_local_id % logical_sub_group_size); + } + + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/math.hpp + template + void ldmatrix(uintptr_t addr, T* m, bool trans = false, unsigned mat = 0) { + auto sg = sycl::ext::oneapi::this_work_item::get_sub_group(); + int lane = sg.get_local_linear_id(); + + int lane_group8_row = lane / 8; + int lane_group8_col = lane % 8; + + if (!trans) { + // calculate the source lane + int src_lane = 2 * lane_group8_row; + if (lane_group8_col >= 4) + src_lane += 1; + + // Broadcast the address from the source lane + auto recv_addr_uintp = + dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane); + + // Cast the received address from uintptr_t to the type of 'm' + auto recv_addr = reinterpret_cast(recv_addr_uintp); + + // Non-transposed load + *m = recv_addr[lane_group8_col % 4]; + } else { + // calculate the source lane + int src_lane = (lane % 4) * 2; + + // Broadcast the address from the source lane + auto recv_addr_uintp_1 = + dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane); + auto recv_addr_uintp_2 = + dpct::select_from_sub_group(sg, addr, mat * 8 + src_lane + 1); + + // Cast the received address from uintptr_t to 'half *' + auto recv_addr_1 = reinterpret_cast(recv_addr_uintp_1); + auto recv_addr_2 = reinterpret_cast(recv_addr_uintp_2); + + // Transposed load + int index = lane / 4; + sycl::half val0 = recv_addr_1[index]; + sycl::half val1 = recv_addr_2[index]; + + // Combine the two 16-bits into one 32-bit value + sycl::half2 val = sycl::half2(val0, val1); + *m = *reinterpret_cast(&val); + } + } + + template + void ldmatrix(uintptr_t addr, T* m1, T* m2, bool trans = false) { + // Load 1st matrix + ldmatrix(addr, m1, trans, 0); + // Load 2nd matrix + ldmatrix(addr, m2, trans, 1); + } + + template + void ldmatrix( + uintptr_t addr, T* m1, T* m2, T* m3, T* m4, bool trans = false) { + // Load 1st matrix + ldmatrix(addr, m1, trans, 0); + // Load 2nd matrix + ldmatrix(addr, m2, trans, 1); + // Load 3rd matrix + ldmatrix(addr, m3, trans, 2); + // Load 4th matrix + ldmatrix(addr, m4, trans, 3); + } + + // /opt/intel/oneapi/dpcpp-ct/latest/include/dpct/math.hpp + + /// A helper struct that defines the pack type for the input matrix + /// fragments + /// of mma() function based on the type of input matrix fragments. + /// The MMAType struct is specialized for different types of input matrices. + /// Currently, the specialization for f16, bf16 and s8 types is defined + /// below. \tparam [in] T The type of the input matrix fragments + template + struct MMAType { + using PackType = uint32_t; + }; + + /// Each work item of a sub-group (limited to size 32) calling this function + /// calculates a subset fragment for the output matrix D using MAD operation + /// on A, B & C matrix fragments (D = A * B + C). Current supported shapes & + /// types: + /// - m8n8k4 (f32.f16.f16.f32) + /// - m8n8k16 (s32.s8.s8.s32) + /// - m16n8k8 (f32.f16.f16.f32 & f32.bf16.bf16.f32) + /// - m16n8k16 (f32.f16.f16.f32 & s32.s8.s8.s32) + /// - m16n8k32 (s32.s8.s8.s32) + /// Here, m, n & k define the shapes of A, B & C matrices respectively + /// (A = [m x k], B = [k x n], C = [m x n]). + /// \tparam [in] M The rows of A, C & D matrices + /// \tparam [in] N The columns of B, C, D matrices + /// \tparam [in] K The columns & rows of A & B matrices respectively + /// \tparam [in] ABType The type of the input matrix (A & B) fragment + /// \tparam [in] CDType The type of the output matrix (C & D) fragment + /// \param [out] d_mat_frag The fragment of the output matrix D to store the + /// result of A * B + C + /// \param [in] a_mat_frag The fragment of the input matrix A to be + /// multiplied with B matrix fragment \param [in] b_mat_frag The fragment of + /// the input matrix B to be multiplied with A matrix fragment \param [in] + /// c_mat_frag The fragment of the input matrix C to be added with the + /// result of A * B fragments + template + void mma( + volatile void** d_mat_frag, + void* a_mat_frag, + void* b_mat_frag, + void* c_mat_frag) { + auto d = reinterpret_cast(d_mat_frag); + auto a = + reinterpret_cast::PackType*>(a_mat_frag); + auto b = + reinterpret_cast::PackType*>(b_mat_frag); + auto c = reinterpret_cast(c_mat_frag); + + auto sg = sycl::ext::oneapi::this_work_item::get_sub_group(); + int lane = sg.get_local_linear_id(); + + static_assert( + (M == 8 && N == 8 && K == 4) || (M == 8 && N == 8 && K == 16) || + (M == 16 && N == 8 && K == 8) || (M == 16 && N == 8 && K == 16) || + (M == 16 && N == 8 && K == 32), + "Unsupported MMA shape!"); + + short row_load_offset = 4 * (lane >> 2); + short col_load_offset = 8 * (lane % 4); + + if constexpr (M == 8 && N == 8 && K == 4) { + if constexpr (std::is_floating_point_v) { + col_load_offset = row_load_offset % 16; + + // Init D matrix with fragments of C matrix + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + *d[4] = c[4]; + *d[5] = c[5]; + *d[6] = c[6]; + *d[7] = c[7]; + + // Calculate the row and col offset indices to iterate through the row + // & col fragments of A & B matrices + int r_ind = (lane % 2) ? 1 : 0; + int c_ind = ((lane % 4) / 2) ? 2 : 0; + + // Each sub-group is responsible for computing a fragment size of 8*8 + // elements of matrix D for each of 4 MMA computations. + // Each work item computes 8 elements of matrix D by gathering + // their corresponding col & row matrix fragments of length k (4) + // from A & B matrices respectively using below mapping logic: + // row0 = (i % 4) if (lane < 16) else (i % 4) + 4 + // col0 = (lane % 4) + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + typename MMAType::PackType recv_a[2], recv_b[2]; + + for (int i = 0; i < 4; i++) { + // Load partial fragment from col0 of matrix A ({a0, a1}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from col0 of matrix A ({a2, a3}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + + // Load partial fragment from row0 of matrix B ({b0, b1}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from row0 of matrix B ({b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i); + + auto ra = reinterpret_cast(recv_a); + auto rb = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment (for + // even work item indices) d0 += col0{ a0 } * row0{ b0 } d1 += col0{ + // a0 } * row0{ b1 } d2 += col1{ a2 } * row0{ b0 } d3 += col1{ a2 } + // * row0{ b1 } (for odd work item indices) d0 += col0{ a1 } * row0{ + // b2 } d1 += col0{ a1 } * row0{ b3 } d2 += col1{ a3 } * row0{ b2 } + // d3 += col1{ a3 } * row0{ b3 } + *d[0] += + static_cast(ra[r_ind]) * static_cast(rb[c_ind]); + *d[1] += static_cast(ra[r_ind]) * + static_cast(rb[c_ind + 1]); + *d[2] += static_cast(ra[r_ind + 2]) * + static_cast(rb[c_ind]); + *d[3] += static_cast(ra[r_ind + 2]) * + static_cast(rb[c_ind + 1]); + + // Load partial fragment from row1 of matrix B ({b0, b1}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 16); + // Load partial fragment from row1 of matrix B ({b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i + 16); + + // (for even work item indices) + // d0 += col0{ a0 } * row1{ b0 } + // d1 += col0{ a0 } * row1{ b1 } + // d2 += col1{ a2 } * row1{ b0 } + // d3 += col1{ a2 } * row1{ b1 } + // (for odd work item indices) + // d0 += col0{ a1 } * row1{ b2 } + // d1 += col0{ a1 } * row1{ b3 } + // d2 += col1{ a3 } * row1{ b2 } + // d3 += col1{ a3 } * row1{ b3 } + *d[4] += + static_cast(ra[r_ind]) * static_cast(rb[c_ind]); + *d[5] += static_cast(ra[r_ind]) * + static_cast(rb[c_ind + 1]); + *d[6] += static_cast(ra[r_ind + 2]) * + static_cast(rb[c_ind]); + *d[7] += static_cast(ra[r_ind + 2]) * + static_cast(rb[c_ind + 1]); + } + } + } else if constexpr (M == 8 && N == 8 && K == 16) { + if constexpr (std::is_integral_v) { + // Init D matrix with fragments of C matrix + *d[0] = c[0]; + *d[1] = c[1]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 2 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (16) + // from A & B matrices respectively using below mapping logic: + // row0 = ((lane % 4) * 4) + i + // col0 = (lane >> 2) + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a, recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3}) + recv_a = dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b0, b1, b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4); + + auto a = reinterpret_cast(&recv_a); + auto b = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{ + // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row0{ a0, a1, a2, + // a3 } * col0{ b0, b1, b2, b3 } d3 += row0{ a0, a1, a2, a3 } * + // col1{ b0, b1, b2, b3 } + for (int j = 0; j < 4; j++) { + *d[0] += a[j] * b[j]; + *d[1] += a[j] * b[j + 4]; + } + } + } + } else if constexpr (M == 16 && N == 8 && K == 8) { + if constexpr (std::is_floating_point_v) { + // Init D matrix fragment with C matrix fragment + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 4 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (8) + // from A & B matrices respectively using below mapping logic: + // row0 = (lane >> 2) & row1 = (lane >> 2) + 8 + // col0 = (lane % 4) * 2 + (i & 0x1) + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[2], recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a0, a1}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a2, a3}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b0, b1}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b0, b1}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4); + + auto ra = reinterpret_cast(recv_a); + auto rb = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1 } * col0{ b0, b1 } d1 += row0{ a0, a1 } * col1{ + // b0, b1 } d2 += row1{ a2, a3 } * col0{ b0, b1 } d3 += row1{ a2, a3 + // } * col1{ b0, b1 } + for (int j = 0; j < 2; j++) { + *d[0] += static_cast(ra[j]) * static_cast(rb[j]); + *d[1] += + static_cast(ra[j]) * static_cast(rb[j + 2]); + *d[2] += + static_cast(ra[j + 2]) * static_cast(rb[j]); + *d[3] += + static_cast(ra[j + 2]) * static_cast(rb[j + 2]); + } + } + } + } else if constexpr (M == 16 && N == 8 && K == 16) { + if constexpr (std::is_floating_point_v) { + // Init D matrix fragment with C matrix fragment + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 4 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (8) + // from A & B matrices respectively using below mapping logic: + // row0 = (lane >> 2) & row1 = (lane >> 2) + 8 + // col0 = (lane % 4) * 2 & col1 = (lane % 4) * 2 + 1 + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[4], recv_b[4]; + + // Load partial fragment from row0 of matrix A ({a0, a1}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from row0 of matrix A ({a2, a3}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[2], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a0, a1}) + recv_a[2] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a2, a3}) + recv_a[3] = + dpct::select_from_sub_group(sg, a[3], row_load_offset + i); + + // Load partial fragment from col0 of matrix B ({b0, b1}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col0 of matrix B ({b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b0, b1}) + recv_b[2] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + 4 + i); + // Load partial fragment from col1 of matrix B ({b2, b3}) + recv_b[3] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + 4 + i); + + auto ra = reinterpret_cast(recv_a); + auto rb = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{ + // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row1{ a0, a1, a2, + // a3 } * col0{ b0, b1, b2, b3 } d3 += row1{ a0, a1, a2, a3 } * + // col1{ b0, b1, b2, b3 } + for (int j = 0; j < 4; j++) { + *d[0] += static_cast(ra[j]) * static_cast(rb[j]); + *d[1] += + static_cast(ra[j]) * static_cast(rb[j + 4]); + *d[2] += + static_cast(ra[j + 4]) * static_cast(rb[j]); + *d[3] += static_cast(ra[j + 4]) * + static_cast(rb[j + 4]); + } + } + } else if constexpr (std::is_integral_v) { + // Init D matrix with fragments of C matrix + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 4 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (8) + // from A & B matrices respectively using below mapping logic: + // row0 = (lane >> 2) & row1 = (lane >> 2) + 8 + // col0 = (lane % 4) * 2 & col1 = (lane % 4) * 2 + 1 + // As each row & col fragment of A & B matrices is distributed across + // 4 work items, each iteration of below loop loads a partial fragment + // of matrix A (row) and matrix B (col) using the row & col offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[2], recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a4, a5, a6, a7}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b4, b5, b6, b7}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4); + + auto ra = reinterpret_cast(recv_a); + auto rb = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{ + // a0, a1, a2, a3 } * col1{ b4, b5, b6, b7 } d2 += row1{ a4, a5, a6, + // a7 } * col0{ b0, b1, b2, b3 } d3 += row1{ a4, a5, a6, a7 } * + // col1{ b4, b5, b6, b7 } + for (int i = 0; i < 4; i++) { + *d[0] += ra[i] * rb[i]; + *d[1] += ra[i] * rb[i + 4]; + *d[2] += ra[i + 4] * rb[i]; + *d[3] += ra[i + 4] * rb[i + 4]; + } + } + } + } else if constexpr (M == 16 && N == 8 && K == 32) { + if constexpr (std::is_integral_v) { + // Init D matrix with fragments of C matrix + *d[0] = c[0]; + *d[1] = c[1]; + *d[2] = c[2]; + *d[3] = c[3]; + + // Each sub-group is responsible for computing a fragment size of 16*8 + // elements of matrix D. + // Each work item computes 4 elements of matrix D by gathering + // their corresponding row & col matrix fragments of length k (32) + // from A & B matrices respectively using below mapping logic: + // row0 = (lane >> 2) & row1 = (lane >> 2) + 8 + // col0 = ((lane % 4) * 4) + (i & 0x3) & col1 = ((lane % 4) * 4) + (i + // & 0x3) As each row & col fragment of A & B matrices is distributed + // across 4 work items, each iteration of below loop loads a partial + // fragment of matrix A (row) and matrix B (col) using the row & col + // offsets. + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[2], recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a0, a1, a2, a3}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[0], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a4, a5, a6, a7}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[1], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b0, b1, b2, b3}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b0, b1, b2, b3}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[0], col_load_offset + i + 4); + + auto a = reinterpret_cast(recv_a); + auto b = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a0, a1, a2, a3 } * col0{ b0, b1, b2, b3 } d1 += row0{ + // a0, a1, a2, a3 } * col1{ b0, b1, b2, b3 } d2 += row1{ a4, a5, a6, + // a7 } * col0{ b0, b1, b2, b3 } d3 += row1{ a4, a5, a6, a7 } * + // col1{ b0, b1, b2, b3 } + for (int j = 0; j < 4; j++) { + *d[0] += a[j] * b[j]; + *d[1] += a[j] * b[j + 4]; + *d[2] += a[j + 4] * b[j]; + *d[3] += a[j + 4] * b[j + 4]; + } + } + + for (int i = 0; i < 4; i++) { + typename MMAType::PackType recv_a[2], recv_b[2]; + + // Load partial fragment from row0 of matrix A ({a8, a9, a10, a11}) + recv_a[0] = + dpct::select_from_sub_group(sg, a[2], row_load_offset + i); + // Load partial fragment from row1 of matrix A ({a12, a13, a14, + // a15}) + recv_a[1] = + dpct::select_from_sub_group(sg, a[3], row_load_offset + i); + // Load partial fragment from col0 of matrix B ({b4, b5, b6, b7}) + recv_b[0] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i); + // Load partial fragment from col1 of matrix B ({b4, b5, b6, b7}) + recv_b[1] = + dpct::select_from_sub_group(sg, b[1], col_load_offset + i + 4); + + auto a = reinterpret_cast(recv_a); + auto b = reinterpret_cast(recv_b); + + // Each work item calculates a partial product of A & B matrix + // fragments and adds it to the corresponding D matrix fragment d0 + // += row0{ a8, a9, a10, a11 } * col0{ b4, b5, b6, b7 } d1 += row0{ + // a8, a9, a10, a11 } * col1{ b4, b5, b6, b7 } d2 += row1{ a12, a13, + // a14, a15 } * col0{ b4, b5, b6, b7 } d3 += row1{ a12, a13, a14, + // a15 } * col1{ b4, b5, b6, b7 } + for (int j = 0; j < 4; j++) { + *d[0] += a[j] * b[j]; + *d[1] += a[j] * b[j + 4]; + *d[2] += a[j + 4] * b[j]; + *d[3] += a[j + 4] * b[j + 4]; + } + } + } + } + } } // COPY from DPCT head files #endif // GGML_SYCL_DPCT_HELPER_HPP diff --git a/ggml/src/ggml-sycl/fattn-common.hpp b/ggml/src/ggml-sycl/fattn-common.hpp new file mode 100644 index 0000000000..ed00d03c3b --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-common.hpp @@ -0,0 +1,1179 @@ +#pragma once + +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "convert.hpp" +#include "vecdotq.hpp" + +#include "ggml.h" + +#include +#include +#include + + +#define FATTN_KQ_STRIDE 256 +#define HALF_MAX_HALF sycl::half(65504.0f/2) // Use neg. of this instead of -INFINITY to initialize KQ max vals to avoid NaN upon subtraction. +#define SOFTMAX_FTZ_THRESHOLD -20.0f // Softmax exp. of values smaller than this are flushed to zero to avoid NaNs. +#define FATTN_KQ_MAX_OFFSET (3.0f*0.6931f) + +typedef void (*fattn_kernel_t)( + const char* Q, + const char* K, + const char* V, + const char* mask, + const char* sinks, + const int* KV_max, + float* dst, + sycl::float2* dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int32_t ne00, + const sycl::uint3 ne01, + const int32_t ne02, + const int32_t ne03, + const int32_t nb01, + const int32_t nb02, + const int32_t nb03, + const int32_t ne10, + const int32_t ne11, + const int32_t ne12, + const int32_t ne13, + const int32_t nb11, + const int32_t nb12, + const int64_t nb13, + const int32_t nb21, + const int32_t nb22, + const int64_t nb23, + const int32_t ne31, + const int32_t ne32, + const int32_t ne33, + const int32_t nb31, + const int32_t nb32, + const int64_t nb33); + +typedef float (*vec_dot_KQ_t)( + const char * __restrict__ K_c, const void * __restrict__ Q_v, const int * __restrict__ Q_q8 , const void * __restrict__ Q_ds); + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_f16(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + const sycl::half2 * K_h2 = (const sycl::half2 *) K_c; + GGML_UNUSED(Q_q8); + GGML_UNUSED(Q_ds_v); + + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < D/2; k_KQ_0 += nthreads*cpy_ne) { + sycl::half2 tmp[cpy_ne]; + ggml_sycl_memcpy_1( + tmp, + K_h2 + k_KQ_0 + (sycl::ext::oneapi::this_work_item::get_nd_item<3>().get_local_id(2) % nthreads) * cpy_ne); +#pragma unroll + for (int k_KQ_1 = 0; k_KQ_1 < cpy_ne; ++k_KQ_1) { +#ifdef GGML_SYCL_F16 + ggml_sycl_mad(sum, tmp[k_KQ_1] , ((const sycl::half2 *) Q_v)[k_KQ_0/nthreads + k_KQ_1]); +#else + ggml_sycl_mad(sum, __half22float2(tmp[k_KQ_1]), ((const sycl::float2 *) Q_v)[k_KQ_0/nthreads + k_KQ_1]); +#endif // GGML_SYCL_F16 + } + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q4_0(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + + const block_q4_0 * K_q4_0 = (const block_q4_0 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_1; + const int iqs4 = k_KQ % QI4_0; + const int shift = k_KQ & (QI8_1/2); + + int v; + ggml_sycl_memcpy_1(&v, K_q4_0[ib].qs + sizeof(int)*iqs4); + v = (v >> shift) & 0x0F0F0F0F; + const int u = Q_q8[k_KQ_0/nthreads]; + + const int sumi = ggml_sycl_dp4a(v, u, 0); + + const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads]; + sum += __half2float(K_q4_0[ib].d) * (sumi*Q_ds.x() - (8/QI8_1)*Q_ds.y()); + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q4_1(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const block_q4_1 * K_q4_1 = (const block_q4_1 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_1; + const int iqs4 = k_KQ % QI4_1; + const int shift = k_KQ & (QI8_1/2); + + int v; + ggml_sycl_memcpy_1(&v, K_q4_1[ib].qs + sizeof(int)*iqs4); + v = (v >> shift) & 0x0F0F0F0F; + const int u = Q_q8[k_KQ_0/nthreads]; + + const int sumi = ggml_sycl_dp4a(v, u, 0); + + const sycl::float2 K_dm = (K_q4_1[ib].dm).template convert(); + const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads]; + + sum += K_dm.x()*Q_ds.x()*sumi + K_dm.y()*Q_ds.y()/QI8_1; + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q5_0(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const block_q5_0 * K_q5_0 = (const block_q5_0 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_1; + const int iqs4 = k_KQ % QI5_0; + const int iqs8 = k_KQ % QI8_1; + const int shift = k_KQ & (QI8_1/2); + + int v; + ggml_sycl_memcpy_1(&v, K_q5_0[ib].qs + sizeof(int)*iqs4); + v = (v >> shift) & 0x0F0F0F0F; + + { + int vh; + ggml_sycl_memcpy_1(&vh, K_q5_0[ib].qh); + vh >>= iqs8 * QI5_0; + + v |= (vh << 4) & 0x00000010; // 0 -> 4 + v |= (vh << 11) & 0x00001000; // 1 -> 12 + v |= (vh << 18) & 0x00100000; // 2 -> 20 + v |= (vh << 25) & 0x10000000; // 3 -> 28 + } + + const int u = Q_q8[k_KQ_0/nthreads]; + + const int sumi = ggml_sycl_dp4a(v, u, 0); + + const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads]; + + sum += __half2float(K_q5_0[ib].d) * (sumi*Q_ds.x() - (16/QI8_1)*Q_ds.y()); + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q5_1(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const block_q5_1 * K_q5_1 = (const block_q5_1 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_1; + const int iqs4 = k_KQ % QI5_1; + const int iqs8 = k_KQ % QI8_1; + const int shift = k_KQ & (QI8_1/2); + + int v; + ggml_sycl_memcpy_1(&v, K_q5_1[ib].qs + sizeof(int)*iqs4); + v = (v >> shift) & 0x0F0F0F0F; + + { + int vh; + ggml_sycl_memcpy_1(&vh, K_q5_1[ib].qh); + vh >>= iqs8 * QI5_0; + + v |= (vh << 4) & 0x00000010; // 0 -> 4 + v |= (vh << 11) & 0x00001000; // 1 -> 12 + v |= (vh << 18) & 0x00100000; // 2 -> 20 + v |= (vh << 25) & 0x10000000; // 3 -> 28 + } + + const int u = Q_q8[k_KQ_0/nthreads]; + + const int sumi = ggml_sycl_dp4a(v, u, 0); + + const sycl::float2 K_dm = (K_q5_1[ib].dm).template convert(); + const sycl::float2 Q_ds = ((const sycl::float2 *) Q_ds_v)[k_KQ_0 / nthreads]; + + sum += K_dm.x()*Q_ds.x()*sumi + K_dm.y()*Q_ds.y()/QI8_1; + } + + return sum; +} + +template +static __dpct_inline__ float vec_dot_fattn_vec_KQ_q8_0(const char * __restrict__ K_c, + const void * __restrict__ Q_v, + const int * __restrict__ Q_q8, + const void * __restrict__ Q_ds_v) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const block_q8_0 * K_q8_0 = (const block_q8_0 *) K_c; + GGML_UNUSED(Q_v); + + float sum = 0.0f; + +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < int(D/sizeof(int)); k_KQ_0 += nthreads) { + const int k_KQ = + k_KQ_0 + (nthreads == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads); + + const int ib = k_KQ / QI8_0; + const int iqs = k_KQ % QI8_0; + + int v; + ggml_sycl_memcpy_1(&v, K_q8_0[ib].qs + 4*iqs); + + const sycl::float2 * Q_ds = (const sycl::float2 *) Q_ds_v; + const float Q_d = Q_ds[k_KQ_0 / nthreads].x(); + + sum += vec_dot_q8_0_q8_1_impl(&v, &Q_q8[k_KQ_0/nthreads], K_q8_0[ib].d, Q_d); + } + + return sum; +} + +template +static __dpct_inline__ void quantize_q8_1_to_shared(const float * __restrict__ x, + const float scale, + int * __restrict__ yq32, + void * __restrict__ yds) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + + float vals[sizeof(int)] = { 0.0f }; +#pragma unroll + for (int l = 0; l < int(sizeof(int)); ++l) { + vals[l] = + (ni == warp_size || item_ct1.get_local_id(2) < ni) ? scale * x[4 * item_ct1.get_local_id(2) + l] : 0.0f; + } + + float amax = sycl::fabs(vals[0]); + float sum = vals[0]; +#pragma unroll + for (int l = 1; l < int(sizeof(int)); ++l) { + amax = sycl::fmax(amax, sycl::fabs(vals[l])); + sum += vals[l]; + } +#pragma unroll + for (int mask = QI8_1/2; mask > 0; mask >>= 1) { + amax = sycl::fmax( + amax, dpct::permute_sub_group_by_xor(sycl::ext::oneapi::this_work_item::get_sub_group(), amax, mask)); + sum += dpct::permute_sub_group_by_xor(sycl::ext::oneapi::this_work_item::get_sub_group(), sum, mask); + } + + const float d = amax / 127; + int q32 = 0; + int8_t * q8 = (int8_t *) &q32; + + if (d != 0.0f) { +#pragma unroll + for (int l = 0; l < int(sizeof(int)); ++l) { + q8[l] = sycl::round(vals[l] / d); + } + } + + yq32[item_ct1.get_local_id(2)] = q32; + if (item_ct1.get_local_id(2) % QI8_1 == 0 && (ni == warp_size || item_ct1.get_local_id(2) < ni)) { + if (std::is_same::value) { + ((sycl::half2 *) yds)[item_ct1.get_local_id(2)/QI8_1] = make_half2(d, sum); + } else { + ((sycl::float2 *) yds)[item_ct1.get_local_id(2)/QI8_1] = make_float2(d, sum); + } + } +} + +typedef void (*dequantize_V_t)(const void *, void *, const int64_t); + +template +static __dpct_inline__ void dequantize_V_f16(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + if constexpr (std::is_same_v) { + ggml_sycl_memcpy_1(dst, (const sycl::half *) vx + i0); + } else if constexpr (std::is_same_v) { + static_assert(ne % 2 == 0, "bad ne"); + sycl::half2 tmp[ne / 2]; + ggml_sycl_memcpy_1(tmp, (const sycl::half *) vx + i0); + sycl::float2 * dst_f2 = (sycl::float2 *) dst; +#pragma unroll + for (int l = 0; l < ne/2; ++l) { + dst_f2[l] = tmp[l].template convert(); + } + } else { + static_assert(std::is_same_v, "unsupported type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q4_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q4_0 * x = (const block_q4_0 *) vx; + + const int64_t ib = i0 / QK4_0; + const int iqs = i0 % (QK4_0/2); + const int shift = (i0 % QK4_0) / (QK4_0/2); + + int q; + static_assert(ne == 2 || ne == 4, "bad ne"); + ggml_sycl_memcpy_1(&q, x[ib].qs + iqs); + q >>= 4*shift; + q &= 0x0F0F0F0F; + q = dpct::vectorized_binary(q, 0x08080808, dpct::sub_sat()); + + const int8_t * q8 = (const int8_t *) &q; + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::half2 d = sycl::half2(x[ib].d); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]); + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const float d = x[ib].d; + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = d * q8[l]; + } + } else { + static_assert(std::is_same_v, "bad type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q4_1(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q4_1 * x = (const block_q4_1 *) vx; + + const int64_t ib = i0 / QK4_1; + const int iqs = i0 % (QK4_1/2); + const int shift = (i0 % QK4_1) / (QK4_1/2); + + int q; + static_assert(ne == 2 || ne == 4, "bad ne"); + ggml_sycl_memcpy_1(&q, x[ib].qs + iqs); + q >>= 4*shift; + q &= 0x0F0F0F0F; + + const int8_t * q8 = (const int8_t *) &q; + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::half2 dm = x[ib].dm; + const sycl::half2 d = sycl::half2(dm[0]); + const sycl::half2 m = sycl::half2(dm[1]); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]) + m; + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::float2 dm = (x[ib].dm).template convert(); + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = dm.x() * q8[l] + dm.y(); + } + } else { + static_assert(std::is_same_v, "bad type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q5_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q5_0 * x = (const block_q5_0 *) vx; + + const int64_t ib = i0 / QK5_0; + const int idq = i0 % QK5_0; + const int iqs = i0 % (QK5_0/2); + const int shift = (i0 % QK5_0) / (QK5_0/2); + + int q; + static_assert(ne == 2 || ne == 4, "bad ne"); + ggml_sycl_memcpy_1(&q, x[ib].qs + iqs); + q >>= 4*shift; + q &= 0x0F0F0F0F; + + { + int qh; + ggml_sycl_memcpy_1(&qh, x[ib].qh); +#pragma unroll + for (int l = 0; l < ne; ++l) { + q |= ((qh >> (idq + l)) & 0x00000001) << (8*l + 4); + } + } + + q = dpct::vectorized_binary(q, 0x10101010, dpct::sub_sat()); + + const int8_t * q8 = (const int8_t *) &q; + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::half2 d = sycl::half2(x[ib].d); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]); + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const float d = x[ib].d; + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = d * q8[l]; + } + } else { + static_assert(std::is_same_v, "bad type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q5_1(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q5_1 * x = (const block_q5_1 *) vx; + + const int64_t ib = i0 / QK5_1; + const int idq = i0 % QK5_1; + const int iqs = i0 % (QK5_1/2); + const int shift = (i0 % QK5_1) / (QK5_1/2); + + int q; + static_assert(ne == 2 || ne == 4, "bad ne"); + ggml_sycl_memcpy_1(&q, x[ib].qs + iqs); + q >>= 4*shift; + q &= 0x0F0F0F0F; + + { + int qh; + ggml_sycl_memcpy_1(&qh, x[ib].qh); +#pragma unroll + for (int l = 0; l < ne; ++l) { + q |= ((qh >> (idq + l)) & 0x00000001) << (8*l + 4); + } + } + + const int8_t * q8 = (const int8_t *) &q; + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::half2 dm = x[ib].dm; + const sycl::half2 d = sycl::half2(dm[0]); + const sycl::half2 m = sycl::half2(dm[1]); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * sycl::half2(q8[l0 + 0], q8[l0 + 1]) + m; + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same_v) { + const sycl::float2 dm = (x[ib].dm).template convert(); + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = dm.x() * q8[l] + dm.y(); + } + } else { + static_assert(std::is_same_v, "bad type"); + } +} + +template +static __dpct_inline__ void dequantize_V_q8_0(const void * __restrict__ vx, void * __restrict__ dst, const int64_t i0) { + const block_q8_0 * x = (const block_q8_0 *) vx; + + const int64_t ib = i0 / QK8_0; + const int iqs = i0 % QK8_0; + + static_assert(ne % 2 == 0, "bad ne"); + int8_t qs[ne]; + ggml_sycl_memcpy_1(qs, x[ib].qs + iqs); + +#ifdef GGML_SYCL_F16 + if constexpr (std::is_same::value) { + const sycl::half2 d = sycl::half2(x[ib].d); + +#pragma unroll + for (int l0 = 0; l0 < ne; l0 += 2) { + ((sycl::half2 *) dst)[l0 / 2] = d * make_half2(qs[l0 + 0], qs[l0 + 1]); + } + } else +#endif // GGML_SYCL_F16 + if constexpr (std::is_same::value) { + const float d = x[ib].d; + +#pragma unroll + for (int l = 0; l < ne; ++l) { + ((float *) dst)[l] = d * qs[l]; + } + } else { + static_assert(std::is_same_v, "unsupported type"); + } +} + +template +constexpr vec_dot_KQ_t get_vec_dot_KQ() { + if constexpr (type_K == GGML_TYPE_F16) { + return vec_dot_fattn_vec_KQ_f16; + } else if constexpr (type_K == GGML_TYPE_Q4_0) { + return vec_dot_fattn_vec_KQ_q4_0; + } else if constexpr (type_K == GGML_TYPE_Q4_1) { + return vec_dot_fattn_vec_KQ_q4_1; + } else if constexpr (type_K == GGML_TYPE_Q5_0) { + return vec_dot_fattn_vec_KQ_q5_0; + } else if constexpr (type_K == GGML_TYPE_Q5_1) { + return vec_dot_fattn_vec_KQ_q5_1; + } else if constexpr (type_K == GGML_TYPE_Q8_0) { + return vec_dot_fattn_vec_KQ_q8_0; + } else { + static_assert(type_K == -1, "bad type"); + return nullptr; + } +} + +template +constexpr dequantize_V_t get_dequantize_V() { + if constexpr (type_V == GGML_TYPE_F16) { + return dequantize_V_f16; + } else if constexpr (type_V == GGML_TYPE_Q4_0) { + return dequantize_V_q4_0; + } else if constexpr (type_V == GGML_TYPE_Q4_1) { + return dequantize_V_q4_1; + } else if constexpr (type_V == GGML_TYPE_Q5_0) { + return dequantize_V_q5_0; + } else if constexpr (type_V == GGML_TYPE_Q5_1) { + return dequantize_V_q5_1; + } else if constexpr (type_V == GGML_TYPE_Q8_0) { + return dequantize_V_q8_0; + } else { + static_assert(type_V == -1, "bad type"); + return nullptr; + } +} + +template +static void flash_attn_mask_to_KV_max(const sycl::half2 * __restrict__ mask, + int * __restrict__ KV_max, + const int ne30, + const int s31, + const int s33, + int * buf_iw) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int ne31 = item_ct1.get_group_range(2); + const int tid = item_ct1.get_local_id(2); + const int sequence = item_ct1.get_group(1); + const int jt = item_ct1.get_group(2); + + mask += sequence*s33 + jt*ncols1*s31; + + if (tid < warp_size) { + buf_iw[tid] = 1; + } + item_ct1.barrier(sycl::access::fence_space::local_space); + + int KV_max_sj = (ne30 - 1) * FATTN_KQ_STRIDE; + for (; KV_max_sj >= 0; KV_max_sj -= FATTN_KQ_STRIDE) { + int all_inf = 1; + +#pragma unroll + for (int j = 0; j < ncols1; ++j) { + const sycl::float2 tmp = + mask[j * s31 + KV_max_sj / 2 + tid].template convert(); + all_inf = all_inf && int(sycl::isinf((float) (tmp.x()))) && int(sycl::isinf((float) (tmp.y()))); + } + + all_inf = warp_reduce_all(all_inf); + if (tid % warp_size == 0) { + buf_iw[tid / warp_size] = all_inf; + } + item_ct1.barrier(sycl::access::fence_space::local_space); + all_inf = buf_iw[tid % warp_size]; + item_ct1.barrier(sycl::access::fence_space::local_space); + all_inf = warp_reduce_all(all_inf); + + if (!all_inf) { + break; + } + } + + // If the break in the loop was not triggered, KV_max_sj is now -FATTN_KQ_STRIDE. + // If the break was triggered it's the lower edge of the tile with the first non-masked values. + // In either case, walk back the decrementation by FATTN_KQ_STRIDE. + KV_max_sj += FATTN_KQ_STRIDE; + + if (item_ct1.get_local_id(2) != 0) { + return; + } + + KV_max[sequence*ne31 + jt] = KV_max_sj; +} + +template // D == head size + +static void flash_attn_stream_k_fixup(float * __restrict__ dst, + const sycl::float2 * __restrict__ dst_fixup, + const int ne01, + const int ne02, + const int ne03, + const int ne11, + const int ne12, + const int nbatch_fa) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + constexpr int ncols = ncols1 * ncols2; + + const int bidx0 = item_ct1.get_group(2); + const int j = item_ct1.get_group(1); + const int c = item_ct1.get_group(0); + const int jc = j*ncols2 + c; + const int tid = item_ct1.get_local_id(2); + + const float * dst_fixup_data = ((const float *) dst_fixup) + item_ct1.get_group_range(2) * (2 * 2 * ncols); + + const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. + + const int iter_k = (ne11 + (nbatch_fa - 1)) / nbatch_fa; + const int iter_j = (ne01 + (ncols1 - 1)) / ncols1; + const int iter_z_gqa = (gqa_ratio + (ncols2 - 1)) / ncols2; + + const int kbc0 = int64_t(bidx0 + 0) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2); + const int kbc0_stop = + int64_t(bidx0 + 1) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2); + + const bool did_not_have_any_data = kbc0 == kbc0_stop; + const bool wrote_beginning_of_tile = kbc0 % iter_k == 0; + const bool did_not_write_last = kbc0/iter_k == kbc0_stop/iter_k && kbc0_stop % iter_k != 0; + if (did_not_have_any_data || wrote_beginning_of_tile || did_not_write_last) { + return; + } + + // z_KV == K/V head index, zt_gqa = Q head start index per K/V head, jt = token position start index + const int sequence = kbc0 /(iter_k*iter_j*iter_z_gqa*ne12); + const int z_KV = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence)/(iter_k*iter_j*iter_z_gqa); + const int zt_gqa = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV)/(iter_k*iter_j); + const int jt = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV - iter_k*iter_j * zt_gqa) / iter_k; + + const int zt_Q = z_KV*gqa_ratio + zt_gqa*ncols2; // Global Q head start index. + + if (jt*ncols1 + j >= ne01 || zt_gqa*ncols2 + c >= gqa_ratio) { + return; + } + + dst += sequence*ne02*ne01*D + jt*ne02*(ncols1*D) + zt_Q*D + (j*ne02 + c)*D + tid; + + // Load the partial result that needs a fixup: + float dst_val = 0.0f; + float max_val = 0.0f; + float rowsum = 0.0f; + { + dst_val = *dst; + + const sycl::float2 tmp = dst_fixup[bidx0 * ncols + jc]; + max_val = tmp.x(); + rowsum = tmp.y(); + } + + // Iterate over previous blocks and compute the combined results. + // All SYCL blocks that get here must have a previous block that needs a fixup. + int bidx = bidx0 - 1; + int kbc_stop = kbc0; + while(true) { + const int kbc = int64_t(bidx) * (iter_k * iter_j * iter_z_gqa * ne12 * ne03) / item_ct1.get_group_range(2); + if (kbc == kbc_stop) { // Did not have any data. + bidx--; + kbc_stop = kbc; + continue; + } + + const float dst_add = dst_fixup_data[bidx*ncols*D + jc*D + tid]; + + const sycl::float2 tmp = dst_fixup[(item_ct1.get_group_range(2) + bidx) * ncols + jc]; + + // Scale the current and new value accumulators depending on the max. values. + const float max_val_new = sycl::fmax(max_val, tmp.x()); + + const float diff_val = max_val - max_val_new; + const float diff_add = tmp.x() - max_val_new; + + const float scale_val = diff_val >= SOFTMAX_FTZ_THRESHOLD ? sycl::native::exp(diff_val) : 0.0f; + const float scale_add = diff_add >= SOFTMAX_FTZ_THRESHOLD ? sycl::native::exp(diff_add) : 0.0f; + + dst_val = scale_val*dst_val + scale_add*dst_add; + rowsum = scale_val * rowsum + scale_add * tmp.y(); + + max_val = max_val_new; + + // If this block started in a previous tile we are done and don't need to combine additional partial results. + if (kbc % iter_k == 0 || kbc/iter_k < kbc0/iter_k) { + break; + } + bidx--; + kbc_stop = kbc; + } + + // Write back final result: + *dst = dst_val / rowsum; +} + +template // D == head size + +static void flash_attn_combine_results(const float * __restrict__ VKQ_parts, + const sycl::float2 * __restrict__ VKQ_meta, + float * __restrict__ dst, + const int parallel_blocks, + uint8_t * dpct_local) { + // Dimension 0: threadIdx.x + // Dimension 1: blockIdx.x + // Dimension 2: blockIdx.y + // Dimension 3: blockIdx.z + // Memory layout is permuted with [0, 2, 1, 3] + + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int ne01 = item_ct1.get_group_range(2); + const int ne02 = item_ct1.get_group_range(1); + + const int col = item_ct1.get_group(2); + const int head = item_ct1.get_group(1); + const int sequence = item_ct1.get_group(0); + + const int j_dst_unrolled = (sequence*ne01 + col)*ne02 + head; + + VKQ_parts += j_dst_unrolled * parallel_blocks*D; + VKQ_meta += j_dst_unrolled * parallel_blocks; + dst += j_dst_unrolled * D; + + const int tid = item_ct1.get_local_id(2); + __builtin_assume(tid < D); + + auto meta = (sycl::float2 *) dpct_local; + for (int i = tid; i < 2*parallel_blocks; i += D) { + ((float *) meta)[i] = ((const float *)VKQ_meta) [i]; + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + + float kqmax = meta[0].x(); + for (int l = 1; l < parallel_blocks; ++l) { + kqmax = sycl::max(kqmax, meta[l].x()); + } + + float VKQ_numerator = 0.0f; + float VKQ_denominator = 0.0f; + for (int l = 0; l < parallel_blocks; ++l) { + const float KQ_max_scale = sycl::native::exp(meta[l].x() - kqmax); + + VKQ_numerator += KQ_max_scale * VKQ_parts[l*D + tid]; + VKQ_denominator += KQ_max_scale * meta[l].y(); + } + + dst[tid] = VKQ_numerator / VKQ_denominator; +} + +template +static void lauch_kernel( + dpct::dim3 group_range, + dpct::dim3 local_range, + queue_ptr q, + unsigned int local_mem_size, + const char* __restrict__ Q, + const char* __restrict__ K, + const char* __restrict__ V, + const char* __restrict__ mask, + const char* __restrict__ sinks, + const int* __restrict__ KV_max, + float* __restrict__ dst, + sycl::float2* __restrict__ dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int32_t ne00, + const sycl::uint3 ne01, + const int32_t ne02, + const int32_t ne03, + const int32_t nb01, + const int32_t nb02, + const int32_t nb03, + const int32_t ne10, + const int32_t ne11, + const int32_t ne12, + const int32_t ne13, + const int32_t nb11, + const int32_t nb12, + const int64_t nb13, + const int32_t nb21, + const int32_t nb22, + const int64_t nb23, + const int32_t ne31, + const int32_t ne32, + const int32_t ne33, + const int32_t nb31, + const int32_t nb32, + const int64_t nb33) { + GGML_UNUSED(local_mem_size); + q->submit([&](sycl::handler &cgh) { + cgh.parallel_for( + sycl::nd_range<3>( + static_cast>(group_range * local_range), + static_cast>(local_range)), + [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(warp_size)]] { + GGML_UNUSED(item_ct1); + fattn_kernel(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, ne00, + ne01, ne02, ne03, nb01, nb02, nb03, ne10, ne11, + ne12, ne13, nb11, nb12, nb13, nb21, nb22, nb23, + ne31, ne32, ne33, nb31, nb32, nb33); + }); + }); +} + +template +void launch_fattn( + ggml_backend_sycl_context & ctx, ggml_tensor * dst, const int nwarps, const size_t nbytes_shared, + const int nbatch_fa, const bool need_f16_K, const bool need_f16_V, const bool stream_k) { + + constexpr int ncols = ncols1 * ncols2; + + const ggml_tensor * Q = dst->src[0]; + const ggml_tensor * K = dst->src[1]; + const ggml_tensor * V = dst->src[2]; + + const bool V_is_K_view = V->view_src && (V->view_src == K || (V->view_src == K->view_src && V->view_offs == K->view_offs)); + + const ggml_tensor * mask = dst->src[3]; + const ggml_tensor * sinks = dst->src[4]; + + ggml_tensor * KQV = dst; + + GGML_ASSERT(Q->type == GGML_TYPE_F32); + GGML_ASSERT(KQV->type == GGML_TYPE_F32); + + GGML_ASSERT(Q->nb[0] == ggml_element_size(Q)); + GGML_ASSERT(K->nb[0] == ggml_element_size(K)); + GGML_ASSERT(V->nb[0] == ggml_element_size(V)); + + GGML_ASSERT(!mask || mask->type == GGML_TYPE_F16); + + ggml_sycl_pool & pool = ctx.pool(); + dpct::queue_ptr main_stream = ctx.stream(); + const int id = ggml_sycl_get_device(); + const int nsm = ggml_sycl_info().devices[id].nsm; + + ggml_sycl_pool_alloc K_f16(pool); + ggml_sycl_pool_alloc V_f16(pool); + ggml_sycl_pool_alloc KV_max(pool); + ggml_sycl_pool_alloc dst_tmp(pool); + ggml_sycl_pool_alloc dst_tmp_meta(pool); + + const char * K_data = (const char *) K->data; + size_t nb11 = K->nb[1]; + size_t nb12 = K->nb[2]; + size_t nb13 = K->nb[3]; + + const char * V_data = (const char *) V->data; + size_t nb21 = V->nb[1]; + size_t nb22 = V->nb[2]; + size_t nb23 = V->nb[3]; + + if (need_f16_K && K->type != GGML_TYPE_F16) { + const size_t bs = ggml_blck_size(K->type); + const size_t ts = ggml_type_size(K->type); + + K_f16.alloc(ggml_nelements(K)); + if (ggml_is_contiguously_allocated(K)) { + to_fp16_sycl_t to_fp16 = ggml_get_to_fp16_sycl(K->type, dst); + to_fp16(K_data, K_f16.ptr, ggml_nelements(K), main_stream); + + nb11 = nb11 * bs * sizeof(sycl::half) / ts; + nb12 = nb12 * bs * sizeof(sycl::half) / ts; + nb13 = nb13 * bs * sizeof(sycl::half) / ts; + } else { + GGML_ASSERT(K->nb[0] == ts); + to_fp16_nc_sycl_t to_fp16 = ggml_get_to_fp16_nc_sycl(K->type); + const int64_t s01 = nb11 / ts; + const int64_t s02 = nb12 / ts; + const int64_t s03 = nb13 / ts; + to_fp16(K_data, K_f16.ptr, K->ne[0], K->ne[1], K->ne[2], K->ne[3], s01, s02, s03, main_stream); + + nb11 = K->ne[0] * sizeof(sycl::half); + nb12 = K->ne[1] * nb11; + nb13 = K->ne[2] * nb12; + } + K_data = (char *) K_f16.ptr; + } + + if (need_f16_V && V->type != GGML_TYPE_F16) { + if (V_is_K_view) { + V_data = K_data; + nb21 = nb11; + nb22 = nb12; + nb23 = nb13; + } else { + const size_t bs = ggml_blck_size(V->type); + const size_t ts = ggml_type_size(V->type); + + V_f16.alloc(ggml_nelements(V)); + if (ggml_is_contiguously_allocated(V)) { + to_fp16_sycl_t to_fp16 = ggml_get_to_fp16_sycl(V->type, dst); + to_fp16(V_data, V_f16.ptr, ggml_nelements(V), main_stream); + V_data = (char *) V_f16.ptr; + + nb21 = nb21 * bs * sizeof(sycl::half) / ts; + nb22 = nb22 * bs * sizeof(sycl::half) / ts; + nb23 = nb23 * bs * sizeof(sycl::half) / ts; + } else { + GGML_ASSERT(V->nb[0] == ts); + to_fp16_nc_sycl_t to_fp16 = ggml_get_to_fp16_nc_sycl(V->type); + const int64_t s01 = nb21 / ts; + const int64_t s02 = nb22 / ts; + const int64_t s03 = nb23 / ts; + to_fp16(V_data, V_f16.ptr, V->ne[0], V->ne[1], V->ne[2], V->ne[3], s01, s02, s03, main_stream); + + nb21 = V->ne[0] * sizeof(sycl::half); + nb22 = V->ne[1] * nb21; + nb23 = V->ne[2] * nb22; + } + V_data = (char *) V_f16.ptr; + } + } + + const int ntiles_x = ((Q->ne[1] + ncols1 - 1) / ncols1); + const int gqa_ratio = Q->ne[2] / K->ne[2]; + const int ntiles_z_gqa = ((gqa_ratio + ncols2 - 1) / ncols2); + const int ntiles_total = ntiles_x * ntiles_z_gqa * K->ne[2] * Q->ne[3]; + + // Optional optimization where the mask is scanned to determine whether part of the calculation can be skipped. + // Only worth the overhead if there is at lease one FATTN_KQ_STRIDE x FATTN_KQ_STRIDE square to be skipped or + // multiple sequences of possibly different lengths. + if (mask && K->ne[1] % FATTN_KQ_STRIDE == 0 && (Q->ne[1] >= 1024 || Q->ne[3] > 1)) { + const int s31 = mask->nb[1] / sizeof(sycl::half2); + const int s33 = mask->nb[3] / sizeof(sycl::half2); + + const dpct::dim3 blocks_num_KV_max(ntiles_x, Q->ne[3], 1); + const dpct::dim3 block_dim_KV_max(FATTN_KQ_STRIDE / 2, 1, 1); + + const int ne_KV_max = blocks_num_KV_max.x*blocks_num_KV_max.y; + const int iter_k = K->ne[1] / FATTN_KQ_STRIDE; + + KV_max.alloc(ne_KV_max); + { + dpct::has_capability_or_fail(main_stream->get_device(), { sycl::aspect::fp16 }); + + main_stream->submit([&](sycl::handler & cgh) { + sycl::local_accessor buf_iw_acc_ct1(sycl::range<1>(warp_size), cgh); + + auto mask_data_ct0 = (const sycl::half2 *) mask->data; + auto KV_max_ptr_ct1 = KV_max.ptr; + + cgh.parallel_for(sycl::nd_range<3>(blocks_num_KV_max * block_dim_KV_max, block_dim_KV_max), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + flash_attn_mask_to_KV_max( + mask_data_ct0, KV_max_ptr_ct1, iter_k, s31, s33, + buf_iw_acc_ct1.get_multi_ptr().get()); + }); + }); + } + SYCL_CHECK(0); + } + + const dpct::dim3 block_dim(warp_size, nwarps, 1); + + // Max. number of active blocks limited by occupancy. + int max_blocks_per_sm = ggml_sycl_info().devices[id].max_wg_per_cu; + int parallel_blocks = max_blocks_per_sm; + dpct::dim3 blocks_num; + if (stream_k) { + // For short contexts it can be faster to have the SMs work on whole tiles because this lets us skip the fixup. + const int max_blocks = max_blocks_per_sm*nsm; + const int nblocks_stream_k = max_blocks; + const bool use_stream_k = true; + + blocks_num.x = use_stream_k ? nblocks_stream_k : ntiles_total; + blocks_num.y = 1; + blocks_num.z = 1; + + if (ntiles_total % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles. + dst_tmp_meta.alloc((size_t(blocks_num.x) * ncols * (2 + DV/2))); + } + } else { + const int ntiles_KQ = (K->ne[1] + nbatch_fa - 1) / nbatch_fa; // Max. number of parallel blocks limited by tensor size. + + // parallel_blocks must not be larger than what the tensor size allows: + parallel_blocks = std::min(parallel_blocks, ntiles_KQ); + // todo fix the hard code change + // parallel_blocks = ntiles_KQ; + + // If ntiles_total % blocks_per_wave != 0 then some efficiency is lost due to tail effects. + // Test whether parallel_blocks can be set to a higher value for better efficiency. + const int blocks_per_wave = nsm * max_blocks_per_sm; + int nwaves_best = 0; + int efficiency_percent_best = 0; + for (int parallel_blocks_test = parallel_blocks; parallel_blocks_test <= ntiles_KQ; ++parallel_blocks_test) { + const int nblocks_total = ntiles_total * parallel_blocks_test; + const int nwaves = (nblocks_total + blocks_per_wave - 1) / blocks_per_wave; + const int efficiency_percent = 100 * nblocks_total / (nwaves*blocks_per_wave); + + // Stop trying configurations with more waves if we already have good efficiency to avoid excessive overhead. + if (efficiency_percent_best >= 95 && nwaves > nwaves_best) { + break; + } + + if (efficiency_percent > efficiency_percent_best) { + nwaves_best = nwaves; + efficiency_percent_best = efficiency_percent; + parallel_blocks = parallel_blocks_test; + } + } + + blocks_num.x = ntiles_x; + blocks_num.y = parallel_blocks; + blocks_num.z = ntiles_z_gqa*K->ne[2]*Q->ne[3]; + + if (parallel_blocks > 1) { + dst_tmp.alloc(parallel_blocks*ggml_nelements(KQV)); + dst_tmp_meta.alloc(parallel_blocks*ggml_nrows(KQV)); + } + } + + float scale = 1.0f; + float max_bias = 0.0f; + float logit_softcap = 0.0f; + + memcpy(&scale, (const float *) KQV->op_params + 0, sizeof(float)); + memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float)); + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); + + if (logit_softcap != 0.0f) { + scale /= logit_softcap; + } + + const uint32_t n_head = Q->ne[2]; + const uint32_t n_head_log2 = 1u << uint32_t(floorf(log2f(float(n_head)))); + + const float m0 = powf(2.0f, -(max_bias ) / n_head_log2); + const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2); + + // TODO other tensor dimensions after removal of WMMA kernel: + const sycl::uint3 ne01 = init_fastdiv_values(Q->ne[1]); + + GGML_ASSERT(block_dim.x % warp_size == 0); + + lauch_kernel( + blocks_num, block_dim, main_stream, (unsigned int) nbytes_shared, (const char *) Q->data, K_data, V_data, + mask ? ((const char *) mask->data) : nullptr, sinks ? ((const char *) sinks->data) : nullptr, KV_max.ptr, + !stream_k && parallel_blocks > 1 ? dst_tmp.ptr : (float *) KQV->data, (sycl::float2 *)dst_tmp_meta.ptr, scale, max_bias, m0, m1, + n_head_log2, logit_softcap, Q->ne[0], ne01, Q->ne[2], Q->ne[3], Q->nb[1], Q->nb[2], Q->nb[3], K->ne[0], + K->ne[1], K->ne[2], K->ne[3], nb11, nb12, nb13, nb21, nb22, nb23, mask ? mask->ne[1] : 0, + mask ? mask->ne[2] : 0, mask ? mask->ne[3] : 0, mask ? mask->nb[1] : 0, mask ? mask->nb[2] : 0, + mask ? mask->nb[3] : 0); + SYCL_CHECK(0); + + if (stream_k) { + if (ntiles_total % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles. + const dpct::dim3 block_dim_combine(DV, 1, 1); + const dpct::dim3 blocks_num_combine = { blocks_num.x, ncols1, ncols2 }; + + main_stream->submit([&](sycl::handler & cgh) { + auto KQV_data_ct0 = (float *) KQV->data; + auto dst_tmp_meta_ptr_ct1 = dst_tmp_meta.ptr; + auto Q_ne_ct2 = Q->ne[1]; + auto Q_ne_ct3 = Q->ne[2]; + auto Q_ne_ct4 = Q->ne[3]; + auto K_ne_ct5 = K->ne[1]; + auto K_ne_ct6 = K->ne[2]; + + cgh.parallel_for(sycl::nd_range<3>(blocks_num_combine * block_dim_combine, block_dim_combine), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + flash_attn_stream_k_fixup(KQV_data_ct0, dst_tmp_meta_ptr_ct1, + Q_ne_ct2, Q_ne_ct3, Q_ne_ct4, + K_ne_ct5, K_ne_ct6, nbatch_fa); + }); + }); + } + } else if (parallel_blocks > 1) { + const dpct::dim3 block_dim_combine(DV, 1, 1); + const dpct::dim3 blocks_num_combine(Q->ne[1], Q->ne[2], Q->ne[3]); + const size_t nbytes_shared_combine = parallel_blocks * sizeof(sycl::float2); + main_stream->submit([&](sycl::handler & cgh) { + sycl::local_accessor dpct_local_acc_ct1(sycl::range<1>(nbytes_shared_combine), cgh); + + auto dst_tmp_ptr_ct0 = dst_tmp.ptr; + auto dst_tmp_meta_ptr_ct1 = dst_tmp_meta.ptr; + auto KQV_data_ct2 = (float *) KQV->data; + + cgh.parallel_for(sycl::nd_range<3>(blocks_num_combine * block_dim_combine, block_dim_combine), + [=](sycl::nd_item<3> item_ct1) { + GGML_UNUSED(item_ct1); + flash_attn_combine_results( + dst_tmp_ptr_ct0, dst_tmp_meta_ptr_ct1, KQV_data_ct2, parallel_blocks, + dpct_local_acc_ct1.get_multi_ptr().get()); + }); + }); + } + SYCL_CHECK(0); +} diff --git a/ggml/src/ggml-sycl/fattn-tile.cpp b/ggml/src/ggml-sycl/fattn-tile.cpp new file mode 100644 index 0000000000..9d4f019cf5 --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-tile.cpp @@ -0,0 +1,55 @@ +#include +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "fattn-common.hpp" +#include "fattn-tile.hpp" +#include +#include +namespace syclex = sycl::ext::oneapi::experimental; + +void ggml_sycl_flash_attn_ext_tile(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * K = dst->src[1]; + const ggml_tensor * V = dst->src[2]; + switch (K->ne[0]) { + case 40: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 40, 40>(ctx, dst); + } break; + case 64: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 64, 64>(ctx, dst); + } break; + case 72: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 72, 72>(ctx, dst); + } break; + case 80: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 80, 80>(ctx, dst); + } break; + case 96: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case< 96, 96>(ctx, dst); + } break; + case 112: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case<112, 112>(ctx, dst); + } break; + case 128: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case<128, 128>(ctx, dst); + } break; + case 256: { + GGML_ASSERT(V->ne[0] == K->ne[0]); + ggml_sycl_flash_attn_ext_tile_case<256, 256>(ctx, dst); + } break; + case 576: { + GGML_ASSERT(V->ne[0] == 512); + ggml_sycl_flash_attn_ext_tile_case<576, 512>(ctx, dst); + } break; + default: { + GGML_ABORT("Unsupported head size"); + } break; + } +} diff --git a/ggml/src/ggml-sycl/fattn-tile.hpp b/ggml/src/ggml-sycl/fattn-tile.hpp new file mode 100644 index 0000000000..29fd0f8c9e --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-tile.hpp @@ -0,0 +1,1338 @@ +#include +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "fattn-common.hpp" + +#include +#include + +namespace syclex = sycl::ext::oneapi::experimental; + +#define GGML_SYCL_FATTN_TILE_CONFIG_CASE(DKQ_, DV_, ncols_, nthreads, occupancy, nbatch_fa, nbatch_K) \ + if (DKQ == (DKQ_) && DV == (DV_) && ncols == (ncols_)) { \ + static_assert((nthreads) <= 512, "bad nthreads"); \ + static_assert((occupancy) <= 8, "bad occupancy"); \ + static_assert((nbatch_fa) <= 256, "bad nbatch_fa"); \ + static_assert((nbatch_K) <= 256, "bad nbatch_K"); \ + return ((nthreads) << 0) | ((occupancy) << 10) | ((nbatch_fa) << 14) | ((nbatch_K) << 23); \ + } \ + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp16(const int DKQ, const int DV, const int ncols) { + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 2, 64, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 4, 128, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 8, 256, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 16, 256, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 32, 256, 2, 64, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 2, 64, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 16, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 2, 64, 2, 64, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 4, 128, 2, 64, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 8, 256, 2, 64, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 16, 256, 2, 64, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 32, 256, 2, 64, 72) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 2, 64, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 4, 128, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 8, 256, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 16, 256, 2, 64, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 32, 256, 2, 64, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 2, 64, 2, 64, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 4, 128, 2, 64, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 8, 256, 2, 64, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 16, 256, 2, 64, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 32, 256, 2, 64, 48) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 2, 64, 2, 64, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 4, 128, 2, 64, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 8, 256, 2, 64, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2, 64, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2, 64, 56) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 2, 64, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 2, 64, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2, 64, 64) + + return 0; +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp32(const int DKQ, const int DV, const int ncols) { + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 32, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 2, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 4, 128, 3, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 8, 128, 3, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 16, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 2, 64, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 4, 128, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 8, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 16, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 32, 256, 2, 32, 72) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 32, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 2, 64, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 4, 128, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 8, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 16, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 32, 256, 2, 32, 48) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 2, 64, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 4, 128, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 8, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2, 32, 56) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 2, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 4, 128, 3, 32, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 8, 128, 3, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 128, 3, 32, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 2, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 3, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 32, 256) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2, 32, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2, 32, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 4, 128, 2, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 8, 256, 2, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2, 32, 64) + + return 0; +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd(const int DKQ, const int DV, const int ncols) { + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 32, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 64, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 2, 64, 3, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 4, 128, 3, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 8, 128, 2, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 16, 256, 2, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 32, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 64, 256, 2, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 2, 64, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 4, 128, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 8, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 16, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 32, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 64, 256, 2, 32, 72) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 32, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 64, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 2, 64, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 4, 128, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 8, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 16, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 32, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 64, 256, 2, 32, 48) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 2, 64, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 4, 128, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 8, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2, 32, 56) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 2, 256, 2, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 4, 128, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 8, 256, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 2, 64, 32) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 2, 256, 2, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 4, 256, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 8, 256, 2, 64, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2, 32, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2, 32, 128) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 512, 1, 128, 64) + + return 0; +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd_rdna(const int DKQ, const int DV, const int ncols) { + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 32, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40, 40, 64, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 2, 64, 8, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 4, 64, 8, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 8, 128, 5, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 16, 128, 5, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 32, 128, 4, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64, 64, 64, 128, 5, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 2, 64, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 4, 128, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 8, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 16, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 32, 256, 2, 32, 72) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72, 72, 64, 256, 2, 32, 72) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 2, 64, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 4, 128, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 8, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 16, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 32, 256, 2, 32, 40) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80, 80, 64, 256, 2, 32, 40) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 2, 64, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 4, 128, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 8, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 16, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 32, 256, 2, 32, 48) + GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96, 96, 64, 256, 2, 32, 48) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 2, 64, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 4, 128, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 8, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2, 32, 56) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2, 32, 56) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 2, 64, 8, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 4, 128, 8, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 8, 128, 8, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 3, 128, 128) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 3, 128, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 3, 64, 64) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 2, 64, 8, 32, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 4, 128, 6, 32, 256) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 8, 128, 6, 32, 256) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 5, 32, 256) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 3, 64, 128) + + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 4, 128, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 8, 256, 2, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 4, 64, 64) + GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 256, 2, 128, 64) + + return 0; +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config(const int DKQ, const int DV, const int ncols, const int cc) { + if(fast_fp16_available(cc)) + return ggml_sycl_fattn_tile_get_config_fp16(DKQ, DV, ncols); + else + return ggml_sycl_fattn_tile_get_config_fp32(DKQ, DV, ncols); +} + +static constexpr uint32_t ggml_sycl_fattn_tile_get_config(const int DKQ, const int DV, const int ncols) { +#ifdef SYCL_FAST_FP16 + return ggml_sycl_fattn_tile_get_config_fp16(DKQ, DV, ncols); +#else + return ggml_sycl_fattn_tile_get_config_fp32(DKQ, DV, ncols); +#endif // SYCL_FAST_FP16 +} + +static int ggml_sycl_fattn_tile_get_nthreads(const int DKQ, const int DV, const int ncols, const int cc) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 0) & ((1 << 10) - 1); +} + +static constexpr int ggml_sycl_fattn_tile_get_nthreads(const int DKQ, const int DV, const int ncols) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 0) & ((1 << 10) - 1); +} + +static int ggml_sycl_fattn_tile_get_occupancy(const int DKQ, const int DV, const int ncols, const int cc) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 10) & ((1 << 4) - 1); +} + +static constexpr int ggml_sycl_fattn_tile_get_occupancy(const int DKQ, const int DV, const int ncols) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 10) & ((1 << 4) - 1); +} + +static int ggml_sycl_fattn_tile_get_nbatch_fa(const int DKQ, const int DV, const int ncols, const int cc) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 14) & ((1 << 9) - 1); +} + +static constexpr int ggml_sycl_fattn_tile_get_nbatch_fa(const int DKQ, const int DV, const int ncols) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 14) & ((1 << 9) - 1); +} + +static int ggml_sycl_fattn_tile_get_nbatch_K(const int DKQ, const int DV, const int ncols, const int cc) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols, cc) >> 23) & ((1 << 9) - 1); +} + +static constexpr int ggml_sycl_fattn_tile_get_nbatch_K(const int DKQ, const int DV, const int ncols) { + return (ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols) >> 23) & ((1 << 9) - 1); +} + +template +static __dpct_inline__ void flash_attn_tile_load_tile(const sycl::half2 * const __restrict__ KV, + sycl::half2 * const __restrict__ tile_KV, + const int stride_KV, + const int i_sup) { + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + auto load = [&] (const int n) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int stride_j = warp_size >> n; + + if (stride_j == 0) { + return; + } + + const int j0_start = stride_j == warp_size ? 0 : ((J/2)/cpy_ne) - ((J/2)/cpy_ne) % (2*stride_j); + const int j0_stop = ((J/2)/cpy_ne) - ((J/2)/cpy_ne) % (1*stride_j); + const int stride_i = warp_size / stride_j; + + if (j0_start == j0_stop) { + return; + } + +#pragma unroll + for (int i0 = 0; i0 < I; i0 += nwarps*stride_i) { + const int i = i0 + item_ct1.get_local_id(1) * stride_i + + (stride_j == warp_size ? 0 : item_ct1.get_local_id(2) / stride_j); + + if (i0 + nwarps*stride_i <= I || i < I) { +#pragma unroll + for (int j0 = j0_start; j0 < j0_stop; j0 += stride_j) { + const int j = j0 * cpy_ne + (stride_j == warp_size ? item_ct1.get_local_id(2) : + item_ct1.get_local_id(2) % stride_j) * + cpy_ne; + + const __dpct_align__(16) sycl::half2 zero[cpy_ne] = { + { 0.0f, 0.0f } + }; + ggml_sycl_memcpy_1( + tile_KV + i*(J/2 + J_padding) + j, + !oob_check || i < i_sup ? KV + i*stride_KV + j : zero); + } + } + } + }; + // 1: max 64*16=512 bytes, 512 half + // 2: max 32*16=512 bytes, 256 half + // 3: max 16*16=256 bytes, 128 half + // 4: max 8*16=128 bytes, 64 half + // 5: max 4*16= 64 bytes, 32 half + // 6: max 2*16= 32 bytes, 16 half + // 7: max 1*16= 16 bytes, 8 half + static_assert(J % 8 == 0, "bad J"); + static_assert((J/2) % cpy_ne == 0, "bad J"); + ggml_sycl_unroll<7>{}(load); +} + +template +static __dpct_inline__ void flash_attn_tile_load_tile(const sycl::half2 * const __restrict__ KV, + float * const __restrict__ tile_KV, + const int stride_KV, + const int i_sup) { + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + auto load = [&] (const int n) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + const int stride_j = warp_size >> n; + + if (stride_j == 0) { + return; + } + + const int j0_start = stride_j == warp_size ? 0 : (J/cpy_ne) - (J/cpy_ne) % (2*stride_j); + const int j0_stop = (J/cpy_ne) - (J/cpy_ne) % (1*stride_j); + const int stride_i = warp_size / stride_j; + + if (j0_start == j0_stop) { + return; + } + +#pragma unroll + for (int i0 = 0; i0 < I; i0 += nwarps*stride_i) { + const int i = i0 + item_ct1.get_local_id(1) * stride_i + + (stride_j == warp_size ? 0 : item_ct1.get_local_id(2) / stride_j); + + if (i0 + nwarps*stride_i <= I || i < I) { +#pragma unroll + for (int j0 = j0_start; j0 < j0_stop; j0 += stride_j) { + const int j = j0 * (cpy_ne / 2) + (stride_j == warp_size ? item_ct1.get_local_id(2) : + item_ct1.get_local_id(2) % stride_j) * + (cpy_ne / 2); + + const sycl::half2 zero[cpy_ne / 2] = { + { 0.0f, 0.0f } + }; + __dpct_align__(16) sycl::half2 tmp_h2[cpy_ne / 2]; + ggml_sycl_memcpy_1( + tmp_h2, !oob_check || i < i_sup ? KV + i*stride_KV + j : zero); + + __dpct_align__(16) sycl::float2 tmp_f2[cpy_ne / 2]; +#pragma unroll + for (int l = 0; l < cpy_ne/2; ++l) { + tmp_f2[l] = tmp_h2[l].template convert(); + } + ggml_sycl_memcpy_1(tile_KV + i*(J + J_padding) + 2*j, tmp_f2); + } + } + } + }; + // 1: max 32*16=512 bytes, 128 float + // 2: max 16*16=256 bytes, 64 float + // 3: max 8*16=128 bytes, 32 float + // 4: max 4*16= 64 bytes, 16 float + // 5: max 2*16= 32 bytes, 8 float + static_assert(J % 8 == 0, "bad J"); + static_assert(J % cpy_ne == 0, "bad J"); + ggml_sycl_unroll<5>{}(load); +} + +// Function that performs a single iteration in for the KQ matrix multiplication: +template +static __dpct_inline__ void flash_attn_tile_iter_KQ(T_vec_dot * const Q_tmp, + const sycl::half2 * const __restrict__ K_h2, + T_vec_dot * const KV_tmp, + const int stride_K2, + const int k_VKQ_0, + const int k_VKQ_sup, + const int k_KQ_0, + float * KQ_acc) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + constexpr int ncols = ncols1*ncols2; + constexpr int cpw = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp + constexpr int np = nwarps > ncols ? nwarps/ncols : 1; // number of parallel warps per Q column + + flash_attn_tile_load_tile + (K_h2 + int64_t(k_VKQ_0)*stride_K2 + k_KQ_0/2, KV_tmp, stride_K2, k_VKQ_sup); + item_ct1.barrier(); + +#ifdef SYCL_FAST_FP16 + static_assert((nbatch_K/2) % cpy_ne == 0, "bad nbatch_K"); +#pragma unroll + for (int k_KQ_1 = 0; k_KQ_1 < nbatch_K/2; k_KQ_1 += cpy_ne) { + __dpct_align__(16) sycl::half2 K_k[nbatch_fa / (np * warp_size)][cpy_ne]; + __dpct_align__(16) sycl::half2 Q_k[cpw][cpy_ne]; +#else + static_assert(nbatch_K % cpy_ne == 0, "bad nbatch_K"); +#pragma unroll + for (int k_KQ_1 = 0; k_KQ_1 < nbatch_K; k_KQ_1 += cpy_ne) { + __dpct_align__(16) float K_k[nbatch_fa/(np*warp_size)][cpy_ne]; + __dpct_align__(16) float Q_k[cpw][cpy_ne]; +#endif // SYCL_FAST_FP16 + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) { + const int i_KQ = i_KQ_0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2); + +#ifdef SYCL_FAST_FP16 + ggml_sycl_memcpy_1(&K_k[i_KQ_0/(np*warp_size)], &KV_tmp[i_KQ*(nbatch_K/2 + cpy_ne) + k_KQ_1]); +#else + ggml_sycl_memcpy_1(&K_k[i_KQ_0/(np*warp_size)], &KV_tmp[i_KQ*(nbatch_K + cpy_ne) + k_KQ_1]); +#endif // SYCL_FAST_FP16 + } +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw; + +#ifdef SYCL_FAST_FP16 + ggml_sycl_memcpy_1(&Q_k[jc0], &Q_tmp[jc*(DKQ/2) + k_KQ_0/2 + k_KQ_1]); +#else + ggml_sycl_memcpy_1(&Q_k[jc0], &Q_tmp[jc* DKQ + k_KQ_0 + k_KQ_1]); +#endif // SYCL_FAST_FP16 + } + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) { +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { +#pragma unroll + for (int k = 0; k < cpy_ne; ++k) { + ggml_sycl_mad(KQ_acc[i_KQ_0/(np*warp_size)*cpw + jc0], K_k[i_KQ_0/(np*warp_size)][k], Q_k[jc0][k]); + } + } + } + } + + if (k_KQ_0 + nbatch_K < DKQ) { + item_ct1.barrier(); // Sync not needed on last iteration. + } +} + +// Function that performs a single iteration of the main loop over up to nbatch_fa tokens. +template +/* +The total declared local variable size in device function flash_attn_tile_iter exceeds 128 bytes and may cause high register pressure. Consult with your hardware vendor to find the total register size available and adjust the code, or use smaller sub-group size to avoid high register pressure. +*/ +static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp, + const sycl::half2 * const __restrict__ K_h2, + const sycl::half2 * const __restrict__ V_h2, + const sycl::half * const __restrict__ mask, + const sycl::uint3 ne01, + const float logit_softcap, + const float slope, + T_KQ * const KQ, + T_vec_dot * const KV_tmp, + const int stride_K2, + const int stride_V2, + const int stride_mask, + float * const KQ_max, + float * const KQ_sum, + T_acc * const VKQ, + const int k_VKQ_0, + const int k_VKQ_max, + const int col_Q_0, + float * KQ_max_new_shared) { + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + constexpr int ncols = ncols1*ncols2; + constexpr int cpw = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp + constexpr int np = nwarps > ncols ? nwarps/ncols : 1; // number of parallel warps per Q column + + constexpr int DVp = (DV + 2*warp_size - 1) & ~(2*warp_size - 1); // DV padded to multiple of 2*warp_size. + +#ifdef SYCL_FAST_FP16 + constexpr int KQ_cs = cpw < 2*cpy_ne ? cpw : 2*cpy_ne; +#else + constexpr int KQ_cs = cpw < 1*cpy_ne ? cpw : 1*cpy_ne; +#endif // SYCL_FAST_FP16 + static_assert(cpw % KQ_cs == 0, "bad KQ_cs"); + const int k_VKQ_sup = k_VKQ_max - k_VKQ_0; // k supremum, only smaller k values have valid KV data + + float KQ_max_new[cpw]; +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + KQ_max_new[jc0] = KQ_max[jc0]; + } + + float KQ_acc[nbatch_fa/(np*warp_size) * cpw] = {0.0f}; // Accumulators for KQ matrix multiplication. + + // KQ = K @ Q matrix multiplication: + constexpr int nbatch_K_last = DKQ % nbatch_K; +#pragma unroll + for (int k_KQ_0 = 0; k_KQ_0 < DKQ - nbatch_K_last; k_KQ_0 += nbatch_K) { + flash_attn_tile_iter_KQ( + Q_tmp, K_h2, KV_tmp, stride_K2, k_VKQ_0, k_VKQ_sup, k_KQ_0, KQ_acc); + } + if (nbatch_K_last > 0) { + constexpr int k_KQ_0 = DKQ - nbatch_K_last; + flash_attn_tile_iter_KQ( + Q_tmp, K_h2, KV_tmp, stride_K2, k_VKQ_0, k_VKQ_sup, k_KQ_0, KQ_acc); + } + + // Apply logit softcap + mask, update KQ_max: +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int j = fastmodulo(col_Q_0 + (jc0 + (item_ct1.get_local_id(1) / np) * cpw) / ncols2, ne01); + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < nbatch_fa; i_KQ_0 += np*warp_size) { + const int i_KQ = i_KQ_0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2); + +#if defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16) + // Without the v_dot2_f32_f16 instruction there is a higher risk of numerical overflow in the KQ calculation. + // Therefore, scale down Q values and apply the inverse scale the FP32 KQ values afterwards again. + KQ_acc[i_KQ_0/(np*warp_size)*cpw + jc0] *= 4.0f; +#endif // defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16) + + if (use_logit_softcap) { + KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] = + logit_softcap * sycl::tanh((float) KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0]); + } + + if (!oob_check || i_KQ < k_VKQ_sup) { + KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] += + (ncols2 > 1 || mask) ? slope * sycl::vec(mask[j * stride_mask + k_VKQ_0 + i_KQ]) + .convert()[0] : + 0.0f; + + KQ_max_new[jc0] = + sycl::fmax((float) KQ_max_new[jc0], + (float) (KQ_acc[(i_KQ_0 / (np * warp_size)) * cpw + jc0] + FATTN_KQ_MAX_OFFSET)); + } + } + + KQ_max_new[jc0] = warp_reduce_max(KQ_max_new[jc0]); + } + + if constexpr (np == 1) { + item_ct1.barrier(); + } else { + static_assert(cpw == 1, "bad cpw"); + + if (item_ct1.get_local_id(2) == 0) { + KQ_max_new_shared[item_ct1.get_local_id(1)] = KQ_max_new[0]; + } + item_ct1.barrier(); + KQ_max_new[0] = KQ_max_new_shared[(item_ct1.get_local_id(1) & ~(np - 1)) + item_ct1.get_local_id(2) % np]; + KQ_max_new[0] = warp_reduce_max(KQ_max_new[0]); + } + + // Calculate KQ softmax, write to shared KQ buffer, re-scale VKQ accumulators: +#pragma unroll + for (int jc0 = 0; jc0 < cpw; jc0 += KQ_cs) { +#ifdef SYCL_FAST_FP16 + __dpct_align__(16) sycl::half tmp[nbatch_fa / (np * warp_size)][KQ_cs]; +#else + __dpct_align__(16) float tmp[nbatch_fa/(np*warp_size)][KQ_cs]; +#endif // SYCL_FAST_FP16 + +#pragma unroll + for (int jc1 = 0; jc1 < KQ_cs; ++jc1) { + const int jc = jc0 + jc1; + + const float KQ_max_scale = sycl::native::exp((float) (KQ_max[jc] - KQ_max_new[jc])); + KQ_max[jc] = KQ_max_new[jc]; + + float KQ_sum_add = 0.0f; +#pragma unroll + for (int i0 = 0; i0 < nbatch_fa; i0 += np*warp_size) { + const float val = + !oob_check || i0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2) < + static_cast(k_VKQ_sup) ? + sycl::native::exp((float) (KQ_acc[(i0 / (np * warp_size)) * cpw + jc] - KQ_max[jc])) : + 0.0f; + KQ_sum_add += val; + tmp[i0/(np*warp_size)][jc1] = val; + } + KQ_sum[jc] = KQ_sum[jc]*KQ_max_scale + KQ_sum_add; + +#ifdef SYCL_FAST_FP16 + const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale); +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { + VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale_h2.x(); + VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale_h2.y(); + } +#else +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { + VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale; + VKQ[jc*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale; + } +#endif // SYCL_FAST_FP16 + } + +#pragma unroll + for (int i0 = 0; i0 < nbatch_fa; i0 += np*warp_size) { + const int i = i0 + (item_ct1.get_local_id(1) % np) * warp_size + item_ct1.get_local_id(2); + + ggml_sycl_memcpy_1( + KQ + (jc0 / KQ_cs + (item_ct1.get_local_id(1) / np) * (cpw / KQ_cs)) * (nbatch_fa * KQ_cs) + i * KQ_cs, + tmp[i0 / (np * warp_size)]); + } + } + + // VKQ = V @ KQ matrix multiplication: + static_assert(DV <= DKQ, "bad DV"); + static_assert(DV % nbatch_K == 0 || (nbatch_K % 3 == 0 && DV % (nbatch_K*2/3) == 0), "bad nbatch_K"); + constexpr int nbatch_V = (DV % nbatch_K == 0 ? nbatch_K : nbatch_K*2/3) * nbatch_fa / DV; // Number of V columns that fit in SRAM for K. + static_assert(nbatch_fa % nbatch_V == 0, "bad nbatch_V"); + static_assert(nbatch_V % np == 0, "bad nbatch_V"); +#pragma unroll + for (int k0 = 0; k0 < nbatch_fa; k0 += nbatch_V) { + flash_attn_tile_load_tile + (V_h2 + int64_t(k_VKQ_0 + k0)*stride_V2, KV_tmp, stride_V2, k_VKQ_sup - k0); + item_ct1.barrier(); + +#ifdef SYCL_FAST_FP16 +#pragma unroll + for (int k1 = 0; k1 < nbatch_V; k1 += np) { + __dpct_align__(16) sycl::half2 V_k[(DVp / 2) / warp_size]; + __dpct_align__(16) sycl::half2 KQ_k[cpw]; + + constexpr int cpy_ne_D = cpy_ne/2 < (DVp/2)/warp_size ? cpy_ne/2 : (DVp/2)/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) { + ggml_sycl_memcpy_1(&V_k[i0 / warp_size], + &KV_tmp[(k1 + item_ct1.get_local_id(1) % np) * (DV / 2) + i0 + + item_ct1.get_local_id(2) * cpy_ne_D]); + } +#pragma unroll + for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; jc_VKQ_0 += KQ_cs) { + const int jc_KQ = jc_VKQ_0 / KQ_cs + (item_ct1.get_local_id(1) / np) * (cpw / KQ_cs); + + __dpct_align__(16) sycl::half tmp[KQ_cs]; + ggml_sycl_memcpy_1( + &tmp, KQ + jc_KQ * (nbatch_fa * KQ_cs) + (k0 + k1 + item_ct1.get_local_id(1) % np) * KQ_cs); +#pragma unroll + for (int jc_VKQ_1 = 0; jc_VKQ_1 < KQ_cs; ++jc_VKQ_1) { + KQ_k[jc_VKQ_0 + jc_VKQ_1] = sycl::half2(tmp[jc_VKQ_1]); + } + } + +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { +#pragma unroll + for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; ++jc_VKQ_0) { + VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].x() += + V_k[i0/warp_size].x()*KQ_k[jc_VKQ_0].x(); + VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].y() += + V_k[i0/warp_size].y()*KQ_k[jc_VKQ_0].y(); + } + } + } +#else +#pragma unroll + for (int k1 = 0; k1 < nbatch_V; k1 += np) { + __dpct_align__(16) sycl::float2 V_k[(DVp/2)/warp_size]; + __dpct_align__(16) float KQ_k[cpw]; + + constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) { + ggml_sycl_memcpy_1(&V_k[i0/(2*warp_size)], &KV_tmp[(k1 + item_ct1.get_local_id(1) % np)*DV + i0 + item_ct1.get_local_id(2)*cpy_ne_D]); + } +#pragma unroll + for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; jc_VKQ_0 += KQ_cs) { + const int jc_KQ = jc_VKQ_0/KQ_cs + (item_ct1.get_local_id(1) / np)*(cpw/KQ_cs); + + ggml_sycl_memcpy_1( + &KQ_k[jc_VKQ_0], KQ + jc_KQ*(nbatch_fa*KQ_cs) + (k0 + k1 + item_ct1.get_local_id(1) % np)*KQ_cs); + } + +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { +#pragma unroll + for (int jc_VKQ_0 = 0; jc_VKQ_0 < cpw; ++jc_VKQ_0) { + VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].x() += V_k[i0/warp_size].x()*KQ_k[jc_VKQ_0]; + VKQ[jc_VKQ_0*((DVp/2)/warp_size) + i0/warp_size].y() += V_k[i0/warp_size].y()*KQ_k[jc_VKQ_0]; + } + } + } +#endif // SYCL_FAST_FP16 + item_ct1.barrier(); + } +} + +template // D == head size +/* +The total declared local variable size in device function flash_attn_tile exceeds 128 bytes and may cause high register pressure. Consult with your hardware vendor to find the total register size available and adjust the code, or use smaller sub-group size to avoid high register pressure. +*/ +static void flash_attn_tile(const char * Q, + const char * K, + const char * V, + const char * mask, + const char * sinks, + const int * KV_max, + float * dst, + sycl::float2 * dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int32_t ne00, + const sycl::uint3 ne01, + const int32_t ne02, + const int32_t ne03, + const int32_t nb01, + const int32_t nb02, + const int32_t nb03, + const int32_t ne10, + const int32_t ne11, + const int32_t ne12, + const int32_t ne13, + const int32_t nb11, + const int32_t nb12, + const int64_t nb13, + const int32_t nb21, + const int32_t nb22, + const int64_t nb23, + const int32_t ne31, + const int32_t ne32, + const int32_t ne33, + const int32_t nb31, + const int32_t nb32, + const int64_t nb33) { +#ifdef SYCL_FLASH_ATTN + // Skip unused kernel variants for faster compilation: + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + if ((use_logit_softcap && !(DV == 128 || DV == 256))) { + GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, + ne00, ne01, ne02, ne03, + nb01, nb02, nb03, + ne10, ne11, ne12, ne13, + nb11, nb12, nb13, + nb21, nb22, nb23, + ne31, ne32, ne33, + nb31, nb32, nb33); + return; + } + + static_assert(ggml_sycl_fattn_tile_get_config(DKQ, DV, ncols1*ncols2) != 0, "kernel config not defined"); + + constexpr int ncols = ncols1*ncols2; + + constexpr int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, ncols1*ncols2) / warp_size; + constexpr int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, ncols1*ncols2); + constexpr int nbatch_K = ggml_sycl_fattn_tile_get_nbatch_K (DKQ, DV, ncols1*ncols2); + + // In this kernel Q, K, V are matrices while i, j, k are matrix indices. + + const int col_Q_0 = item_ct1.get_group(2) * ncols1; // Index of the first Q column for this SYCL block to work on. + + const int sequence = item_ct1.get_group(0) / (ne02 / ncols2); + const int head0 = item_ct1.get_group(0) * ncols2 - sequence * ne02; // == item_ct1.get_group(0) % (ne02/ncols2) + const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. + const float * Q_f = (const float *) (Q + nb03*sequence + nb02* head0); + const sycl::half2 * K_h2 = (const sycl::half2 *) (K + nb13 * sequence + nb12 * (head0 / gqa_ratio)); + const sycl::half2 * V_h2 = + (const sycl::half2 *) (V + nb23 * sequence + nb22 * (head0 / gqa_ratio)); // K and V have same shape + + const sycl::half * maskh = mask ? (const sycl::half *) (mask + nb33 * (sequence % ne33)) : nullptr; + + const int stride_K2 = nb11 / sizeof(sycl::half2); + const int stride_V2 = nb21 / sizeof(sycl::half2); + const int stride_mask = nb31 / sizeof(sycl::half); + + const float slope = ncols2 == 1 ? get_alibi_slope(max_bias, head0, n_head_log2, m0, m1) : 1.0f; + + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + constexpr int cpw = ncols > nwarps ? ncols/nwarps : 1; // Q columns per warp. + constexpr int np = nwarps > ncols ? nwarps/ncols : 1; // Number of parallel warps per Q column. + + static_assert(cpw == 1 || np == 1, "bad cpw / np"); + static_assert(nbatch_fa % (np*warp_size) == 0, "nbatch_fa % (np*warp_size) != 0"); + + constexpr int DKQp = (DKQ + 2*warp_size - 1) & ~(2*warp_size - 1); // DKQ padded to multiple of 2*warp_size. + constexpr int DVp = (DV + 2*warp_size - 1) & ~(2*warp_size - 1); // DV padded to multiple of 2*warp_size. + + // Q_tmp == SRAM buffer to hold Q data for the entire lifetime of the kernel. + // KV_tmp == SRAM buffer to hold fragments of K/V data while iterating over ne11. + // KV_tmp is padded to avoid memory conflicts for K (cpy_ne) and OOB accesses for V (DVp-DV). + // KQ == SRAM buffer to hold KQ fragments between KQ and VKQ matrix multiplications. + // VKQ == Accumulators in registers for the final VKQ result. + + +#ifdef SYCL_FAST_FP16 + constexpr size_t lsm_size1 = ncols * DKQ/2 ; + constexpr size_t lsm_size2 = nbatch_fa * (nbatch_K/2 + cpy_ne) + DVp-DV ; + constexpr size_t lsm_size3 = ncols * nbatch_fa; + constexpr size_t lsm_size4 = nwarps; + + constexpr size_t local_share_mem_size = lsm_size1 * sizeof(sycl::half2) + + lsm_size2 * sizeof(sycl::half2) + + lsm_size3 * sizeof(sycl::half) + + lsm_size4 * sizeof(float); + + syclex::work_group_static lsm; + + sycl::half2 *Q_tmp = (sycl::half2 *)&lsm; + sycl::half2 *KV_tmp = (sycl::half2*)(Q_tmp +lsm_size1); + sycl::half *KQ = (sycl::half *)(KV_tmp+lsm_size2); + float *KQ_max_new_shared = (float *)(KQ+lsm_size3); + + __dpct_align__(16) sycl::half2 VKQ[cpw * ((DVp / 2) / warp_size)] = { + { 0.0f, 0.0f } + }; +#else + constexpr size_t lsm_size1 = ncols * DKQ ; + constexpr size_t lsm_size2 = nbatch_fa * (nbatch_K + cpy_ne) + DVp-DV; + constexpr size_t lsm_size3 = ncols * nbatch_fa; + constexpr size_t lsm_size4 = nwarps; + + constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2 +lsm_size3 + lsm_size4) * sizeof(float); + + syclex::work_group_static lsm; + + float *Q_tmp = (float *)&lsm; + float *KV_tmp = Q_tmp +lsm_size1; + float *KQ = KV_tmp+lsm_size2; + float *KQ_max_new_shared = KQ+lsm_size3; + + __dpct_align__(16) sycl::float2 VKQ[cpw * ((DVp/2)/warp_size)] = {{0.0f, 0.0f}}; + + +#endif // SYCL_FAST_FP16 + + float KQ_max[cpw] = {}; + +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + KQ_max[j0/nwarps] = -FLT_MAX/2.0f; + } + float KQ_sum[cpw] = {0.0f}; + + // Load Q data, convert to FP16 if fast: +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw; + + const int j = jc / ncols2; + const int c = jc % ncols2; + + constexpr int cpy_ne_D = cpy_ne < DKQp/warp_size ? cpy_ne : DKQp/warp_size; + +#pragma unroll + for (int i0 = 0; i0 < DKQp; i0 += np*warp_size*cpy_ne_D) { + if (i0 + np * warp_size * cpy_ne_D <= DKQ || + i0 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D) + item_ct1.get_local_id(2) * cpy_ne_D < + DKQ) { + __dpct_align__(16) float tmp_f[cpy_ne_D] = { 0.0f }; + ggml_sycl_memcpy_1( + tmp_f, &Q_f[c * (nb02 / sizeof(float)) + fastmodulo(col_Q_0 + j, ne01) * (nb01 / sizeof(float)) + + i0 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D) + + item_ct1.get_local_id(2) * cpy_ne_D]); + +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; ++i1) { + tmp_f[i1] *= scale; + } + +#ifdef SYCL_FAST_FP16 + __dpct_align__(16) sycl::half2 tmp_h2[cpy_ne_D / 2]; +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; i1 += 2) { + tmp_h2[i1/2] = make_half2(tmp_f[i1 + 0], tmp_f[i1 + 1]); +#if defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16) + // Without the v_dot2_f32_f16 instruction there is a higher risk of numerical overflow in the KQ calculation. + // Therefore, scale down Q values and apply the inverse scale the FP32 KQ values afterwards again. + tmp_h2[i1 / 2] *= sycl::half2(0.25f, 0.25f); +#endif // defined(SYCL_FAST_FP16) && !defined(GGML_SYCL_F16) + } + ggml_sycl_memcpy_1( + &Q_tmp[jc * (DKQ / 2) + i0 / 2 + (item_ct1.get_local_id(1) % np) * (warp_size * cpy_ne_D / 2) + + item_ct1.get_local_id(2) * (cpy_ne_D / 2)], + tmp_h2); +#else + ggml_sycl_memcpy_1( + &Q_tmp[jc* DKQ + i0 + (item_ct1.get_local_id(1) % np)*(warp_size*cpy_ne_D) + item_ct1.get_local_id(2)* cpy_ne_D], + tmp_f); +#endif // SYCL_FAST_FP16 + } + } + } + + item_ct1.barrier(); + + // Main loop over KV cache: + const int k_VKQ_max = KV_max ? KV_max[sequence * item_ct1.get_group_range(2) + item_ct1.get_group(2)] : ne11; + if (ncols2 == 1) { + // Branch with out-of-bounds checks. + int k_VKQ_0 = item_ct1.get_group(1) * nbatch_fa; + while (k_VKQ_0 < k_VKQ_max - nbatch_fa) { + constexpr bool oob_check = false; + flash_attn_tile_iter(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2, + stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0, + KQ_max_new_shared); + k_VKQ_0 += item_ct1.get_group_range(1) * nbatch_fa; + } + if (k_VKQ_0 < k_VKQ_max) { + constexpr bool oob_check = true; + flash_attn_tile_iter(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2, + stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0, + KQ_max_new_shared); + } + } else { + // Branch without out-of-bounds checks. + for (int k_VKQ_0 = item_ct1.get_group(1) * nbatch_fa; k_VKQ_0 < k_VKQ_max; + k_VKQ_0 += item_ct1.get_group_range(1) * nbatch_fa) { + + constexpr bool oob_check = false; + flash_attn_tile_iter(Q_tmp, K_h2, V_h2, maskh, ne01, logit_softcap, slope, KQ, KV_tmp, stride_K2, + stride_V2, stride_mask, KQ_max, KQ_sum, VKQ, k_VKQ_0, k_VKQ_max, col_Q_0, + KQ_max_new_shared); + } + } + +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + KQ_sum[jc0] = warp_reduce_sum(KQ_sum[jc0]); + } + + if constexpr (np > 1) { + static_assert(cpw == 1, "bad cpw"); + static_assert(nbatch_fa*nbatch_K >= nwarps*DVp, "KV_tmp too small"); + +#ifdef SYCL_FAST_FP16 + sycl::half2 * VKQ_combine = (sycl::half2 *) KV_tmp; +#else + float * VKQ_combine = (float *) KV_tmp; +#endif // SYCL_FAST_FP16 + + float * KQ_sum_combine = (float *) Q_tmp; + + if (item_ct1.get_local_id(1) % np != 0) { + +#ifdef SYCL_FAST_FP16 + constexpr int cpy_ne_D = cpy_ne < (DVp/2)/warp_size ? cpy_ne : (DVp/2)/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) { + ggml_sycl_memcpy_1( + &VKQ_combine[item_ct1.get_local_id(1) * (DVp / 2) + i0 + item_ct1.get_local_id(2) * cpy_ne_D], + &VKQ[i0 / warp_size]); + } +#else + + constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size; + +#pragma unroll + for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) { + ggml_sycl_memcpy_1( + &VKQ_combine[item_ct1.get_local_id(1)*DVp + i0 + item_ct1.get_local_id(2)*cpy_ne_D], ((const float *) VKQ) + i0/warp_size); + } +#endif // SYCL_FAST_FP16 + + if (item_ct1.get_local_id(2) == 0) { + KQ_sum_combine[item_ct1.get_local_id(1)] = KQ_sum[0]; + } + return; + } + + item_ct1.barrier(); + +#pragma unroll + for (int ip = 1; ip < np; ++ip) { +#ifdef SYCL_FAST_FP16 + constexpr int cpy_ne_D = cpy_ne < (DVp/2)/warp_size ? cpy_ne : (DVp/2)/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) { + __dpct_align__(16) sycl::half2 tmp[cpy_ne_D]; + ggml_sycl_memcpy_1(tmp, &VKQ_combine[(item_ct1.get_local_id(1) + ip) * (DVp / 2) + i0 + + item_ct1.get_local_id(2) * cpy_ne_D]); +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; ++i1) { + VKQ[i0/warp_size + i1] += tmp[i1]; + } + } +#else + constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) { + __dpct_align__(16) float tmp[cpy_ne_D]; + ggml_sycl_memcpy_1(tmp, &VKQ_combine[(item_ct1.get_local_id(1) + ip)*DVp + i0 + item_ct1.get_local_id(2)*cpy_ne_D]); +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; ++i1) { + ((float *)VKQ)[i0/warp_size + i1] += tmp[i1]; + } + } +#endif // SYCL_FAST_FP16 + + KQ_sum[0] += KQ_sum_combine[item_ct1.get_local_id(1) + ip]; + } + } + + // Attention sink: adjust KQ max and sum only for the first of all parallel blocks: + if (sinks && item_ct1.get_group(1) == 0) { +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw; + const float sink = ((const float *) sinks)[head0 + jc % ncols2]; + + float KQ_max_new_j = sycl::fmax((float) KQ_max[jc0], sink); + const float KQ_max_scale = sycl::native::exp((float) (KQ_max[jc0] - KQ_max_new_j)); + KQ_max[jc0] = KQ_max_new_j; + + const float val = sycl::native::exp((float) (sink - KQ_max[jc0])); + KQ_sum[jc0] = KQ_sum[jc0]*KQ_max_scale + val; + +#ifdef SYCL_FAST_FP16 + const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale); +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { + VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size] *= KQ_max_scale_h2; + } +#else +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size) { + VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size].x() *= KQ_max_scale; + VKQ[jc0*((DVp/2)/warp_size) + i0/warp_size].y() *= KQ_max_scale; + } +#endif // SYCL_FAST_FP16 + } + } + + // Write back results: +#pragma unroll + for (int jc0 = 0; jc0 < cpw; ++jc0) { + const int jc = jc0 + (item_ct1.get_local_id(1) / np) * cpw; + + const int j = jc / ncols2; + const int c = jc % ncols2; + + if (ncols1 > 1 && col_Q_0 + j >= int(ne01.z())) { + return; + } + + const float scale = item_ct1.get_group_range(1) == 1 ? 1.0f / KQ_sum[jc0] : 1.0f; + + const int j_dst_unrolled = + ((sequence * int(ne01.z()) + col_Q_0 + j) * ne02 + head0 + c) * item_ct1.get_group_range(1) + + item_ct1.get_group(1); + +#ifdef SYCL_FAST_FP16 + constexpr int cpy_ne_D = cpy_ne/2 < (DVp/2)/warp_size ? cpy_ne/2 : (DVp/2)/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp/2; i0 += warp_size*cpy_ne_D) { + __dpct_align__(16) sycl::float2 tmp[cpy_ne_D]; +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D; ++i1) { + tmp[i1] = VKQ[jc0 * ((DVp / 2) / warp_size) + i0 / warp_size + i1] + .template convert(); + tmp[i1].x() *= scale; + tmp[i1].y() *= scale; + } + if (i0 + warp_size * cpy_ne_D <= DV / 2 || i0 + item_ct1.get_local_id(2) * cpy_ne_D < DV / 2) { + ggml_sycl_memcpy_1( + &dst[j_dst_unrolled * DV + 2 * i0 + item_ct1.get_local_id(2) * (2 * cpy_ne_D)], tmp); + } + } +#else + constexpr int cpy_ne_D = cpy_ne < DVp/warp_size ? cpy_ne : DVp/warp_size; +#pragma unroll + for (int i0 = 0; i0 < DVp; i0 += warp_size*cpy_ne_D) { + if (i0 + warp_size*cpy_ne_D <= DV || i0 + item_ct1.get_local_id(2)*cpy_ne_D < DV) { +#pragma unroll + for (int i1 = 0; i1 < cpy_ne_D/2; ++i1) { + VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size) + i1].x() *= scale; + VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size) + i1].y() *= scale; + } + ggml_sycl_memcpy_1( + &dst[j_dst_unrolled*DV + i0 + item_ct1.get_local_id(2)*cpy_ne_D], + &VKQ[jc0*((DVp/2)/warp_size) + i0/(2*warp_size)]); + } + } +#endif // SYCL_FAST_FP16 + + if (item_ct1.get_group_range(1) != 1 && item_ct1.get_local_id(2) == 0) { + dst_meta[j_dst_unrolled] = make_float2(KQ_max[jc0], KQ_sum[jc0]); + } + } +#else + GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, + ne00, ne01, ne02, ne03, + nb01, nb02, nb03, + ne10, ne11, ne12, ne13, + nb11, nb12, nb13, + nb21, nb22, nb23, + ne31, ne32, ne33, + nb31, nb32, nb33); +#endif // SYCL_FLASH_ATTN +} + +template +static void launch_fattn_tile_switch_ncols1(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * Q = dst->src[0]; + + const int id = ggml_sycl_get_device(); + const int cc = ggml_sycl_info().devices[id].cc; + const int warp_size = WARP_32_SIZE; //can't support WARP_16_SIZE + + constexpr size_t nbytes_shared = 0; + + if constexpr (DV <= 256) { + if (Q->ne[1] > 16/ncols2) { + constexpr int cols_per_block = 32; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + } + + if (Q->ne[1] > 8/ncols2) { + constexpr int cols_per_block = 16; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + + if constexpr (ncols2 <= 8) { + if (Q->ne[1] > 4/ncols2) { + constexpr int cols_per_block = 8; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + } + + if constexpr (ncols2 <= 4) { + if (Q->ne[1] > 2/ncols2) { + constexpr int cols_per_block = 4; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + } + + if constexpr (ncols2 <= 2) { + constexpr int cols_per_block = 2; + const int nwarps = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size; + const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc); + launch_fattn, warp_size> + (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false); + return; + } + + GGML_ABORT("fatal error"); +} + +template +static void launch_fattn_tile_switch_ncols2(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * KQV = dst; + const ggml_tensor * Q = dst->src[0]; + const ggml_tensor * K = dst->src[1]; + const ggml_tensor * mask = dst->src[3]; + + float max_bias = 0.0f; + memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float)); + + GGML_ASSERT(Q->ne[2] % K->ne[2] == 0); + const int gqa_ratio = Q->ne[2] / K->ne[2]; + + // On NVIDIA (Pascal and older) the GQA optimizations seem to be detrimental in some cases. + // However, for DKQ == 576, DV == 512 only the kernel variant with GQA optimizations is implemented. + //const bool nvidia = GGML_SYCL_CC_IS_NVIDIA(ggml_sycl_info().devices[ggml_sycl_get_device()].cc); + const int gqa_limit = gqa_ratio <= 4 && DV <= 256 ? 16 : INT_MAX; + const bool use_gqa_opt = mask && max_bias == 0.0f && Q->ne[1] <= gqa_limit && K->ne[1] % FATTN_KQ_STRIDE == 0; + + if constexpr (DV == 512) { + if (use_gqa_opt && gqa_ratio % 16 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + if (use_gqa_opt && gqa_ratio % 4 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + } + + if constexpr (DV <= 256) { + if (use_gqa_opt && gqa_ratio % 8 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + + if (use_gqa_opt && gqa_ratio % 4 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + + if (use_gqa_opt && gqa_ratio % 2 == 0) { + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + + launch_fattn_tile_switch_ncols1(ctx, dst); + return; + } + GGML_ABORT("fatal error"); +} + +template +void ggml_sycl_flash_attn_ext_tile_case(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * KQV = dst; + + float logit_softcap; + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); + + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + launch_fattn_tile_switch_ncols2(ctx, dst); + } else { + constexpr bool use_logit_softcap = true; + launch_fattn_tile_switch_ncols2(ctx, dst); + } +} + +void ggml_sycl_flash_attn_ext_tile(ggml_backend_sycl_context & ctx, ggml_tensor * dst); + +#define DECL_FATTN_TILE_CASE(DKQ, DV) \ + template void ggml_sycl_flash_attn_ext_tile_case \ + (ggml_backend_sycl_context & ctx, ggml_tensor * dst) \ + +extern DECL_FATTN_TILE_CASE( 40, 40); +extern DECL_FATTN_TILE_CASE( 64, 64); +extern DECL_FATTN_TILE_CASE( 72, 72); +extern DECL_FATTN_TILE_CASE( 80, 80); +extern DECL_FATTN_TILE_CASE( 96, 96); +extern DECL_FATTN_TILE_CASE(112, 112); +extern DECL_FATTN_TILE_CASE(128, 128); +extern DECL_FATTN_TILE_CASE(256, 256); +extern DECL_FATTN_TILE_CASE(576, 512); + diff --git a/ggml/src/ggml-sycl/fattn-vec.hpp b/ggml/src/ggml-sycl/fattn-vec.hpp new file mode 100644 index 0000000000..48c389052f --- /dev/null +++ b/ggml/src/ggml-sycl/fattn-vec.hpp @@ -0,0 +1,667 @@ +#ifndef GGML_SYCL_FATTN_VEC_HPP +#define GGML_SYCL_FATTN_VEC_HPP + +#include +#include +#include +#include + +#include "dpct/helper.hpp" +#include "common.hpp" +#include "ggml.h" +#include "fattn-common.hpp" +#include +#include + +namespace syclex = sycl::ext::oneapi::experimental; + +static int ggml_sycl_fattn_vec_get_nthreads_host(const int cc) { + return 128; + GGML_UNUSED(cc); +} + +static constexpr int ggml_sycl_fattn_vec_get_nthreads_device() { + return 128; +} + +// Currenlty llvm with the amdgcn target dose not support unrolling loops +// that contain a break that can not be resolved at compile time. +#ifdef __clang__ +#pragma clang diagnostic push +#pragma clang diagnostic ignored "-Wpass-failed" +#endif // __clang__ + +template // D == head size +static void flash_attn_ext_vec(const char* __restrict__ Q, + const char* __restrict__ K, + const char* __restrict__ V, + const char* __restrict__ mask, + const char* __restrict__ sinks, + const int* __restrict__ KV_max, + float* __restrict__ dst, + sycl::float2* __restrict__ dst_meta, + const float scale, + const float max_bias, + const float m0, + const float m1, + const uint32_t n_head_log2, + const float logit_softcap, + const int32_t ne00, + const sycl::uint3 ne01, + const int32_t ne02, + const int32_t ne03, + const int32_t nb01, + const int32_t nb02, + const int32_t nb03, + const int32_t ne10, + const int32_t ne11, + const int32_t ne12, + const int32_t ne13, + const int32_t nb11, + const int32_t nb12, + const int64_t nb13, + const int32_t nb21, + const int32_t nb22, + const int64_t nb23, + const int32_t ne31, + const int32_t ne32, + const int32_t ne33, + const int32_t nb31, + const int32_t nb32, + const int64_t nb33) { +#ifdef SYCL_FLASH_ATTN + // Skip unused kernel variants for faster compilation: + + auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>(); + if (use_logit_softcap && !(D == 128 || D == 256)) { + GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, + ne00, ne01, ne02, ne03, + nb01, nb02, nb03, + ne10, ne11, ne12, ne13, + nb11, nb12, nb13, + nb21, nb22, nb23, + ne31, ne32, ne33, + nb31, nb32, nb33); + return; + } + + //In this kernel Q, K, V are matrices while i, j, k are matrix indices. + + constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes(); + constexpr int cpy_ne = cpy_nb / 4; + + constexpr int nthreads_KQ_q = (D/4 < warp_size ? D/4 : warp_size); + constexpr int nthreads_V_q = (D/4 < warp_size ? D/4 : warp_size); + + constexpr int nthreads = ggml_sycl_fattn_vec_get_nthreads_device(); + constexpr int nthreads_KQ = type_K == GGML_TYPE_F16 ? 128 / cpy_nb : nthreads_KQ_q; + constexpr int nthreads_V = type_V == GGML_TYPE_F16 ? 128 / cpy_nb : nthreads_V_q; + + static_assert(warp_size % nthreads_KQ == 0, "bad nthreads_K"); + static_assert(warp_size % nthreads_V == 0, "bad nthreads_V"); + + constexpr int V_rows_per_thread = type_V == GGML_TYPE_F16 ? 2*cpy_ne : 4; + constexpr int V_cols_per_iter = warp_size / nthreads_V; + + constexpr vec_dot_KQ_t vec_dot_KQ = get_vec_dot_KQ(); + constexpr bool Q_q8_1 = type_K != GGML_TYPE_F16; +#ifdef GGML_SYCL_F16 + constexpr dequantize_V_t dequantize_V = get_dequantize_V(); +#else + constexpr dequantize_V_t dequantize_V = get_dequantize_V(); +#endif // GGML_SYCL_F16 + + const int ic0 = item_ct1.get_group(2) * ncols; // Index of the Q/QKV column to work on. + + const int sequence = item_ct1.get_group(0) / ne02; + const int head = item_ct1.get_group(0) - sequence * ne02; + const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix. + Q += nb03*sequence + nb02* head + nb01*ic0; + K += nb13*sequence + nb12*(head / gqa_ratio); + V += nb23*sequence + nb22*(head / gqa_ratio); + + const sycl::half * maskh = (const sycl::half *) (mask + nb33 * (sequence % ne33) + nb31 * ic0); + + const float slope = get_alibi_slope(max_bias, head, n_head_log2, m0, m1); + + static_assert(D % (2*warp_size) == 0, "D not divisible by 2*warp_size == 64."); + constexpr int nwarps = nthreads / warp_size; + const int tid = warp_size * item_ct1.get_local_id(1) + item_ct1.get_local_id(2); + __builtin_assume(tid < nthreads); + + constexpr int ne_KQ = ncols*D; + constexpr int ne_combine = nwarps*V_cols_per_iter*D; + + constexpr size_t lsm_size1 = ncols * warp_size; + constexpr size_t lsm_size2 = ncols * warp_size; +#ifdef GGML_SYCL_F16 + sycl::half2 VKQ[ncols][(D / 2) / nthreads_V] = { { { 0.0f, 0.0f } } }; + constexpr size_t lsm_size3 = (ne_KQ > ne_combine ? ne_KQ : ne_combine); + constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2)*sizeof(float) + lsm_size3*sizeof(sycl::half); + + syclex::work_group_static lsm; + + float *KQ_max_shared = (float *)&lsm; + float *KQ_sum_shared = KQ_max_shared+lsm_size1; + sycl::half* KQ = (sycl::half*)(KQ_sum_shared + lsm_size2); + + +#else + sycl::float2 VKQ[ncols][(D/2)/nthreads_V] = {{{0.0f, 0.0f}}}; + + constexpr size_t lsm_size3 = (ne_KQ > ne_combine ? ne_KQ : ne_combine); + constexpr size_t local_share_mem_size = (lsm_size1 + lsm_size2 + lsm_size3)*sizeof(float); + + + syclex::work_group_static lsm; + float *KQ_max_shared = (float *)&lsm; + float *KQ_sum_shared = KQ_max_shared+lsm_size1; + float* KQ = KQ_sum_shared + lsm_size2; + +#endif // GGML_SYCL_F16 + + float KQ_max[ncols]; + float KQ_sum[ncols]; +#pragma unroll + for (int j = 0; j < ncols; ++j) { + KQ_max[j] = -FLT_MAX/2.0f; + KQ_sum[j] = 0.0f; + } + + // Convert Q to float2 (f16 K) or q8_1 (quantized K) and store in registers: +#ifdef GGML_SYCL_F16 + sycl::half2 Q_reg[ncols][(D / 2) / nthreads_KQ] = {{{0.0f, 0.0f}}}; // Will be initialized completely. +#else + sycl::float2 Q_reg[ncols][(D/2)/nthreads_KQ] = {{{0.0f, 0.0f}}}; // May be only partially initialized. +#endif // GGML_SYCL_F16 + int Q_i32[ncols][1 > D/(sizeof(int)*nthreads_KQ) ? 1 : D/(sizeof(int)*nthreads_KQ)]; + sycl::float2 Q_ds[ncols][1 > D / (sizeof(int) * nthreads_KQ) ? 1 : D / (sizeof(int) * nthreads_KQ)]; + if constexpr (Q_q8_1) { +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j = j0 + item_ct1.get_local_id(1); + + if (j0 + nwarps > ncols && j >= ncols) { + break; + } + + // Reuse KQ as temporary storage for converting Q to q8_1: + int * tmp_q_i32 = (int *) &KQ[j*D]; + sycl::float2 * tmp_q_ds = (sycl::float2 *) (tmp_q_i32 + D / sizeof(int)); + + // Set memory to zero if out of bounds: + if (ncols > 1 && ic0 + j >= int(ne01.z())) { +#pragma unroll + for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += warp_size) { + const int i = i0 + item_ct1.get_local_id(2); + + if (i0 + warp_size <= int(D/sizeof(int)) || i < int(D/sizeof(int))) { + tmp_q_i32[i] = 0; + } + } + if (item_ct1.get_local_id(2) < D/QK8_1) { + tmp_q_ds[item_ct1.get_local_id(2)] = sycl::float2(0.0f, 0.0f); + } + } else { + const float * Q_f = (const float *) (Q + j*nb01); + constexpr int nthreads_quantize = D/sizeof(int) < warp_size ? D/sizeof(int) : warp_size; +#pragma unroll + for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += nthreads_quantize) { + quantize_q8_1_to_shared + (Q_f + i0*sizeof(int), scale, tmp_q_i32 + i0, tmp_q_ds + i0/QI8_1); + } + } + } + + + item_ct1.barrier(sycl::access::fence_space::local_space); + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + int * tmp_q_i32 = (int *) &KQ[j*D]; + sycl::float2 * tmp_q_ds = (sycl::float2 *) (tmp_q_i32 + D / sizeof(int)); + +#pragma unroll + for (int i0 = 0; i0 < int(D/sizeof(int)); i0 += nthreads_KQ) { + const int i = + i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_KQ); + + Q_i32[j][i0/nthreads_KQ] = tmp_q_i32[i]; + Q_ds[j][i0/nthreads_KQ] = tmp_q_ds[i/QI8_1]; + } + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + + } else { +#ifdef GGML_SYCL_F16 + const sycl::half2 scale_h2 = sycl::half2(scale, scale); +#pragma unroll + for (int j = 0; j < ncols; ++j) { + const sycl::float2 * Q_j = (const sycl::float2 *) (Q + j * nb01); +#pragma unroll + for (int i0 = 0; i0 < D/2; i0 += nthreads_KQ*cpy_ne) { + const int i = i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) : + item_ct1.get_local_id(2) % nthreads_KQ) * + cpy_ne; + + sycl::float2 tmp[cpy_ne] = { + { 0.0f, 0.0f } + }; + if (ncols == 1 || ic0 + j < int(ne01.z())) { + ggml_sycl_memcpy_1(tmp, &Q_j[i]); + ggml_sycl_memcpy_1(tmp + cpy_ne/2, &Q_j[i + cpy_ne/2]); + } +#pragma unroll + for (int i1 = 0; i1 < cpy_ne; ++i1) { + Q_reg[j][i0 / nthreads_KQ + i1] = sycl::half2(tmp[i1].x(), tmp[i1].y()); + } + } +#pragma unroll + for (int k = 0; k < (D/2)/nthreads_KQ; ++k) { + Q_reg[j][k] *= scale_h2; + } + } +#else +#pragma unroll + for (int j = 0; j < ncols; ++j) { + const sycl::float2 * Q_j = (const sycl::float2 *) (Q + j*nb01); +#pragma unroll + for (int i0 = 0; i0 < D/2; i0 += nthreads_KQ*cpy_ne) { + const int i = i0 + (nthreads_KQ == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_KQ)*cpy_ne; + if (ncols == 1 || ic0 + j < int(ne01.z())) { + ggml_sycl_memcpy_1(&Q_reg[j][i0/nthreads_KQ], &Q_j[i]); + ggml_sycl_memcpy_1(&Q_reg[j][i0/nthreads_KQ + cpy_ne/2], &Q_j[i + cpy_ne/2]); + } + } +#pragma unroll + for (int k = 0; k < (D/2)/nthreads_KQ; ++k) { + Q_reg[j][k].x() *= scale; + Q_reg[j][k].y() *= scale; + } + } +#endif // GGML_SYCL_F16 + } + + const int k_VKQ_max = KV_max ? KV_max[sequence * item_ct1.get_group_range(2) + item_ct1.get_group(2)] : ne11; + K += item_ct1.get_group(1) * nthreads * nb11; + V += item_ct1.get_group(1) * nthreads * nb21; + maskh += item_ct1.get_group(1) * nthreads; + for (int k_VKQ_0 = item_ct1.get_group(1) * nthreads; k_VKQ_0 < k_VKQ_max; + k_VKQ_0 += item_ct1.get_group_range(1) * nthreads, + // Increment pointers after each loop: + K += item_ct1.get_group_range(1) * nthreads * nb11, V += item_ct1.get_group_range(1) * nthreads * nb21, + maskh += item_ct1.get_group_range(1) * nthreads) { + // Calculate KQ tile and keep track of new maximum KQ values: + float KQ_reg[ncols]={}; // KQ in registers. + float KQ_max_new[ncols]={}; + + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + KQ_max_new[j] = KQ_max[j]; + } + +#pragma unroll + for (int i_KQ_0 = 0; i_KQ_0 < nthreads_KQ; ++i_KQ_0) { + const int i_KQ = item_ct1.get_local_id(1) * warp_size + + (nthreads_KQ == warp_size ? 0 : (item_ct1.get_local_id(2) & ~(nthreads_KQ - 1))) + i_KQ_0; + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + float sum = vec_dot_KQ(K + i_KQ*nb11, Q_reg[j], Q_i32[j], Q_ds[j]); + sum = warp_reduce_sum(sum); + + if (use_logit_softcap) { + sum = logit_softcap * sycl::tanh(sum); + } + if (mask) { + sum += slope * sycl::vec(maskh[j * ne11 + i_KQ]) + .convert()[0]; + } + + KQ_max_new[j] = sycl::fmax((float) KQ_max_new[j], sum); + + if (int(nthreads_KQ == warp_size ? item_ct1.get_local_id(2) + : item_ct1.get_local_id(2) % + nthreads_KQ) == i_KQ_0) { + KQ_reg[j] = sum; + } + } + } + +#pragma unroll + for (int j = 0; j < ncols; ++j) { +#pragma unroll + for (int offset = nthreads_KQ; offset < warp_size; offset <<= 1) { + KQ_max_new[j] = sycl::fmax( + (float)KQ_max_new[j], + (float)dpct::permute_sub_group_by_xor( + sycl::ext::oneapi::this_work_item::get_sub_group(), + KQ_max_new[j], + offset, + warp_size)); + } + const float KQ_max_scale = sycl::native::exp((float) (KQ_max[j] - KQ_max_new[j])); + KQ_max[j] = KQ_max_new[j]; + + KQ_reg[j] = sycl::native::exp((float) (KQ_reg[j] - KQ_max[j])); + KQ_sum[j] = KQ_sum[j]*KQ_max_scale + KQ_reg[j]; + KQ[j*nthreads + tid] = KQ_reg[j]; + +#ifdef GGML_SYCL_F16 + const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale); +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j][i_VKQ_0/nthreads_V] *= KQ_max_scale_h2; + } +#else +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j][i_VKQ_0/nthreads_V].x() *= KQ_max_scale; + VKQ[j][i_VKQ_0/nthreads_V].y() *= KQ_max_scale; + } +#endif // GGML_SYCL_F16 + } + + sycl::group_barrier(sycl::ext::oneapi::this_work_item::get_sub_group()); + +#pragma unroll + for (int k0 = 0; k0 < warp_size; k0 += V_cols_per_iter) { + const int k = item_ct1.get_local_id(1) * warp_size + k0 + + (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V); + +#ifdef GGML_SYCL_F16 + sycl::half2 KQ_k[ncols]; +#pragma unroll + for (int j = 0; j < ncols; ++j) { + KQ_k[j] = sycl::half2(KQ[j * nthreads + k]); + } +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) { + sycl::half2 tmp[V_rows_per_thread / 2]; + dequantize_V(V + k * nb21, tmp, + 2 * i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : + item_ct1.get_local_id(2) % nthreads_V) * + V_rows_per_thread); +#pragma unroll + for (int i_VKQ_1 = 0; i_VKQ_1 < V_rows_per_thread/2; ++i_VKQ_1) { +#pragma unroll + for (int j = 0; j < ncols; ++j) { + VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1] += tmp[i_VKQ_1]*KQ_k[j]; + } + } + } +#else + float KQ_k[ncols]; +#pragma unroll + for (int j = 0; j < ncols; ++j) { + KQ_k[j] = KQ[j*nthreads + k]; + } +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) { + sycl::float2 tmp[V_rows_per_thread/2]; + dequantize_V(V + k*nb21, tmp, + 2*i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V)*V_rows_per_thread); +#pragma unroll + for (int i_VKQ_1 = 0; i_VKQ_1 < V_rows_per_thread/2; ++i_VKQ_1) { +#pragma unroll + for (int j = 0; j < ncols; ++j) { + VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1].x() += tmp[i_VKQ_1].x()*KQ_k[j]; + VKQ[j][i_VKQ_0/nthreads_V + i_VKQ_1].y() += tmp[i_VKQ_1].y()*KQ_k[j]; + } + } + } +#endif // GGML_SYCL_F16 + } + } + + if (sinks && item_ct1.get_group(1) == 0) { + const float sink = ((const float *) sinks)[head]; + +#pragma unroll + for (int j0 = 0; j0 < ncols; j0 += nwarps) { + const int j = j0 + item_ct1.get_local_id(1); + + if (j0 + nwarps > ncols && j >= ncols) { + break; + } + const float kqmax_new_j = sycl::fmax(sink, (float) KQ_max[j]); + const float KQ_max_scale = sycl::native::exp((float) (KQ_max[j] - kqmax_new_j)); + KQ_max[j] = kqmax_new_j; + + KQ_sum[j] = KQ_sum[j] * KQ_max_scale + + (item_ct1.get_local_id(2) == 0 ? sycl::native::exp((float) (sink - KQ_max[j])) : 0.0f); +#ifdef GGML_SYCL_F16 + const sycl::half2 KQ_max_scale_h2 = sycl::half2(KQ_max_scale, KQ_max_scale); +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j][i_VKQ_0/nthreads_V] *= KQ_max_scale_h2; + } +#else +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j][i_VKQ_0/nthreads_V].x() *= KQ_max_scale; + VKQ[j][i_VKQ_0/nthreads_V].y() *= KQ_max_scale; + } +#endif // GGML_SYCL_F16 + } + } + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + if (item_ct1.get_local_id(1) == 0) { + KQ_max_shared[j*warp_size+item_ct1.get_local_id(2)] = -FLT_MAX / 2.0f; + KQ_sum_shared[j*warp_size+item_ct1.get_local_id(2)] = 0.0f; + } + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + +#pragma unroll + for (int j = 0; j < ncols; ++j) { + if (item_ct1.get_local_id(2) == 0) { + KQ_max_shared[j*warp_size+item_ct1.get_local_id(1)] = KQ_max[j]; + } + } + + + item_ct1.barrier(sycl::access::fence_space::local_space); + +#pragma unroll + for (int j_VKQ = 0; j_VKQ < ncols; ++j_VKQ) { + if (ncols > 1 && ic0 + j_VKQ >= int(ne01.z())) { + break; + } + + float kqmax_new = KQ_max_shared[j_VKQ*warp_size+item_ct1.get_local_id(2)]; + kqmax_new = warp_reduce_max(kqmax_new); + const float kqmax_scale = sycl::native::exp((float) (KQ_max[j_VKQ] - kqmax_new)); + KQ_max[j_VKQ] = kqmax_new; + +#ifdef GGML_SYCL_F16 + sycl::half2 * VKQ_tmp = (sycl::half2 *) KQ + item_ct1.get_local_id(1) * (V_cols_per_iter * D / 2) + + (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V) * (D / 2); + + const sycl::half2 kqmax_scale_h2 = sycl::half2(kqmax_scale, kqmax_scale); +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j_VKQ][i_VKQ_0/nthreads_V] *= kqmax_scale_h2; + } +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) { + const int i_VKQ = + i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V) * + (V_rows_per_thread / 2); + + ggml_sycl_memcpy_1(VKQ_tmp + i_VKQ, + &VKQ[j_VKQ][i_VKQ_0 / nthreads_V]); + } +#else + sycl::float2 * VKQ_tmp = (sycl::float2 *) KQ + item_ct1.get_local_id(1)*(V_cols_per_iter*D/2) + + (nthreads_V == warp_size ? 0 : item_ct1.get_local_id(2) / nthreads_V)*(D/2); +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V) { + VKQ[j_VKQ][i_VKQ_0/nthreads_V].x() *= kqmax_scale; + VKQ[j_VKQ][i_VKQ_0/nthreads_V].y() *= kqmax_scale; + } +#pragma unroll + for (int i_VKQ_0 = 0; i_VKQ_0 < D/2; i_VKQ_0 += nthreads_V*V_rows_per_thread/2) { + const int i_VKQ = i_VKQ_0 + (nthreads_V == warp_size ? item_ct1.get_local_id(2) : item_ct1.get_local_id(2) % nthreads_V)*(V_rows_per_thread/2); + + ggml_sycl_memcpy_1(VKQ_tmp + i_VKQ, &VKQ[j_VKQ][i_VKQ_0/nthreads_V]); + ggml_sycl_memcpy_1(VKQ_tmp + i_VKQ + V_rows_per_thread/4, &VKQ[j_VKQ][i_VKQ_0/nthreads_V + V_rows_per_thread/4]); + } +#endif // GGML_SYCL_F16 + + KQ_sum[j_VKQ] *= kqmax_scale; + KQ_sum[j_VKQ] = warp_reduce_sum(KQ_sum[j_VKQ]); + if (item_ct1.get_local_id(2) == 0) { + KQ_sum_shared[j_VKQ*warp_size+item_ct1.get_local_id(1)] = KQ_sum[j_VKQ]; + } + + item_ct1.barrier(sycl::access::fence_space::local_space); + + + if (nthreads <= D || tid < D) { + KQ_sum[j_VKQ] = KQ_sum_shared[j_VKQ*warp_size+item_ct1.get_local_id(2)]; + KQ_sum[j_VKQ] = warp_reduce_sum(KQ_sum[j_VKQ]); + +#pragma unroll + for (int i0 = 0; i0 < D; i0 += nthreads) { + float dst_val = 0; +#pragma unroll + for (int w = 0; w < nwarps; ++w) { +#pragma unroll + for (int v = 0; v < V_cols_per_iter; ++v) { + dst_val += float(KQ[w*V_cols_per_iter*D + v*D + i0 + tid]); + } + } + if (item_ct1.get_group_range(1) == 1) { + dst_val /= KQ_sum[j_VKQ]; + } + dst[(((sequence * int(ne01.z()) + ic0 + j_VKQ) * ne02 + head) * item_ct1.get_group_range(1) + + item_ct1.get_group(1)) * + D + + i0 + tid] = dst_val; + } + } + + if (j_VKQ < ncols-1) { + item_ct1.barrier(sycl::access::fence_space::local_space); + } + + } + + if (item_ct1.get_group_range(1) != 1 && tid < ncols && (ncols == 1 || ic0 + tid < int(ne01.z()))) { + dst_meta[((sequence * int(ne01.z()) + ic0 + tid) * ne02 + head) * item_ct1.get_group_range(1) + + item_ct1.get_group(1)] = make_float2(KQ_max[tid], KQ_sum[tid]); + } +#else + GGML_UNUSED_VARS(Q, K, V, mask, sinks, KV_max, dst, dst_meta, scale, + max_bias, m0, m1, n_head_log2, logit_softcap, + ne00, ne01, ne02, ne03, + nb01, nb02, nb03, + ne10, ne11, ne12, ne13, + nb11, nb12, nb13, + nb21, nb22, nb23, + ne31, ne32, ne33, + nb31, nb32, nb33); + +#endif // SYCL_FLASH_ATTN +} +#ifdef __clang__ +#pragma clang diagnostic pop +#endif // __clang__ + + +template +void ggml_sycl_flash_attn_ext_vec_case_impl(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + + const int warp_size = WARP_16_SIZE; //better performance than WARP_32_SIZE + + const int cc = ggml_sycl_info().devices[ggml_sycl_get_device()].cc; + + const int nthreads = ggml_sycl_fattn_vec_get_nthreads_host(cc); + const int nwarps = nthreads / warp_size; + + const bool need_f16_K = type_K == GGML_TYPE_F16; + const bool need_f16_V = type_V == GGML_TYPE_F16; + constexpr size_t nbytes_shared = 0; + + launch_fattn, warp_size>( + ctx, dst, nwarps, nbytes_shared, D, need_f16_K, need_f16_V, false); +} + +template +void ggml_sycl_flash_attn_ext_vec_case(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + const ggml_tensor * KQV = dst; + const ggml_tensor * Q = dst->src[0]; + + float logit_softcap; + memcpy(&logit_softcap, (const float *) KQV->op_params + 2, sizeof(float)); + + if (Q->ne[1] == 1) { + constexpr int cols_per_block = 1; + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + ggml_sycl_flash_attn_ext_vec_case_impl(ctx, dst); + } else { + constexpr bool use_logit_softcap = true; + ggml_sycl_flash_attn_ext_vec_case_impl(ctx, dst); + } + return; + } + + constexpr int cols_per_block = 2; + if (logit_softcap == 0.0f) { + constexpr bool use_logit_softcap = false; + ggml_sycl_flash_attn_ext_vec_case_impl(ctx, dst); + } else { + constexpr bool use_logit_softcap = true; + ggml_sycl_flash_attn_ext_vec_case_impl(ctx, dst); + } +} + +#define DECL_FATTN_VEC_CASE(D, type_K, type_V) \ + template void ggml_sycl_flash_attn_ext_vec_case \ + (ggml_backend_sycl_context & ctx, ggml_tensor * dst) \ + +#define EXTERN_DECL_FATTN_VEC_CASES(D, type_K) \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_F16); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q4_0); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q4_1); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q5_0); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q5_1); \ + extern DECL_FATTN_VEC_CASE(D, type_K, GGML_TYPE_Q8_0); \ + +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_F16) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q4_0) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q4_1) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q5_0) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q5_1) +EXTERN_DECL_FATTN_VEC_CASES( 64, GGML_TYPE_Q8_0) + +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_F16) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q4_0) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q4_1) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q5_0) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q5_1) +EXTERN_DECL_FATTN_VEC_CASES(128, GGML_TYPE_Q8_0) + +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_F16) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q4_0) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q4_1) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_0) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_1) +EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q8_0) + +#endif // GGML_SYCL_FATTN_VEC_HPP diff --git a/ggml/src/ggml-sycl/fattn.cpp b/ggml/src/ggml-sycl/fattn.cpp new file mode 100644 index 0000000000..c276ed8982 --- /dev/null +++ b/ggml/src/ggml-sycl/fattn.cpp @@ -0,0 +1,225 @@ +// +// MIT license +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + + +#include +#include "dpct/helper.hpp" +#include "common.hpp" +#include "fattn-common.hpp" +#include "fattn-tile.hpp" +#include "fattn-vec.hpp" +#include "fattn.hpp" + + +#define FATTN_VEC_CASE(D, type_K, type_V) \ + { \ + const bool type_K_okay = K->type == (type_K) || (K->type == GGML_TYPE_F32 && (type_K) == GGML_TYPE_F16); \ + const bool type_V_okay = V->type == (type_V) || (V->type == GGML_TYPE_F32 && (type_V) == GGML_TYPE_F16); \ + if (Q->ne[0] == (D) && type_K_okay && type_V_okay) { \ + ggml_sycl_flash_attn_ext_vec_case(ctx, dst); \ + return; \ + } \ + } \ + +#define FATTN_VEC_CASES_ALL_D(type_K, type_V) \ + FATTN_VEC_CASE( 64, type_K, type_V) \ + FATTN_VEC_CASE(128, type_K, type_V) \ + FATTN_VEC_CASE(256, type_K, type_V) \ + +static void ggml_sycl_flash_attn_ext_vec(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + ggml_tensor * Q = dst->src[0]; + ggml_tensor * K = dst->src[1]; + ggml_tensor * V = dst->src[2]; + +#ifdef GGML_SYCL_FA_ALL_QUANTS + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_F16) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q4_0) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q4_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q4_1) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q5_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q5_0) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q5_1) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q5_1) + + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_1, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_0, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q5_1, GGML_TYPE_Q8_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q8_0) +#else + FATTN_VEC_CASES_ALL_D(GGML_TYPE_F16, GGML_TYPE_F16) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q4_0, GGML_TYPE_Q4_0) + FATTN_VEC_CASES_ALL_D(GGML_TYPE_Q8_0, GGML_TYPE_Q8_0) +#endif // GGML_SYCL_FA_ALL_QUANTS + + GGML_ABORT("Not match KV type in vec"); +} + +// Best FlashAttention kernel for a specific GPU: +enum best_fattn_kernel { + BEST_FATTN_KERNEL_NONE = 0, + BEST_FATTN_KERNEL_VEC = 100, + BEST_FATTN_KERNEL_TILE = 200, +}; + +static best_fattn_kernel ggml_sycl_get_best_fattn_kernel(const int device, const ggml_tensor * dst) { + GGML_UNUSED(device); +#ifndef SYCL_FLASH_ATTN + GGML_UNUSED(dst); + return BEST_FATTN_KERNEL_NONE; +#endif// SYCL_FLASH_ATTN + + if(!g_ggml_sycl_enable_flash_attention) return BEST_FATTN_KERNEL_NONE; + + const ggml_tensor * KQV = dst; + const ggml_tensor * Q = dst->src[0]; + const ggml_tensor * K = dst->src[1]; + const ggml_tensor * V = dst->src[2]; + const ggml_tensor * mask = dst->src[3]; + + const int gqa_ratio = Q->ne[2] / K->ne[2]; + GGML_ASSERT(Q->ne[2] % K->ne[2] == 0); + + float max_bias = 0.0f; + memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float)); + + bool gqa_opt_applies = gqa_ratio >= 2 && mask && max_bias == 0.0f && K->ne[1] % FATTN_KQ_STRIDE == 0; + for (const ggml_tensor * t : {Q, K, V, mask}) { + if (t == nullptr || ggml_is_quantized(t->type)) { + continue; + } + for (size_t i = 1; i < GGML_MAX_DIMS; ++i) { + if (t->nb[i] % 16 != 0) { + gqa_opt_applies = false; + break; + } + } + } + + switch (K->ne[0]) { + case 40: + case 64: + case 72: + case 80: + case 96: + case 128: + case 112: + case 256: + if (V->ne[0] != K->ne[0]) { + return BEST_FATTN_KERNEL_NONE; + } + break; + case 576: + if (V->ne[0] != 512) { + return BEST_FATTN_KERNEL_NONE; + } + if (!gqa_opt_applies) { + return BEST_FATTN_KERNEL_NONE; + } + break; + default: + return BEST_FATTN_KERNEL_NONE; + } + +#ifndef GGML_SYCL_FA_ALL_QUANTS + if (K->type != V->type) { + return BEST_FATTN_KERNEL_NONE; + } +#endif // GGML_SYCL_FA_ALL_QUANTS + + switch (K->type) { + case GGML_TYPE_F32: + case GGML_TYPE_F16: + break; + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q5_1: +#ifndef GGML_SYCL_FA_ALL_QUANTS + return BEST_FATTN_KERNEL_NONE; +#endif // GGML_SYCL_FA_ALL_QUANTS + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q8_0: + break; + default: + return BEST_FATTN_KERNEL_NONE; + } + + if (mask && mask->ne[2] != 1) { + return BEST_FATTN_KERNEL_NONE; + } + + // For small batch sizes the vector kernel may be preferable over the kernels optimized for large batch sizes: + const bool can_use_vector_kernel = Q->ne[0] <= 256 && Q->ne[0] % 64 == 0 && K->ne[1] % FATTN_KQ_STRIDE == 0; + + // Todo: Use the XMX kernel if possible: + + // If there are no tensor cores available, use the generic tile kernel: + if (can_use_vector_kernel) { + if (!ggml_is_quantized(K->type) && !ggml_is_quantized(V->type)) { + if (Q->ne[1] == 1) { + if (!gqa_opt_applies) { + return BEST_FATTN_KERNEL_VEC; + } + } + } else { + if (Q->ne[1] <= 2) { + return BEST_FATTN_KERNEL_VEC; + } + } + } + return BEST_FATTN_KERNEL_TILE; +} + +void ggml_sycl_flash_attn_ext(ggml_backend_sycl_context & ctx, ggml_tensor * dst) { + ggml_sycl_set_device(ctx.device); + switch (ggml_sycl_get_best_fattn_kernel(ggml_sycl_get_device(), dst)) { + case BEST_FATTN_KERNEL_NONE: + GGML_ABORT("Not support Flash-Attention"); + case BEST_FATTN_KERNEL_TILE: + ggml_sycl_flash_attn_ext_tile(ctx, dst); + break; + case BEST_FATTN_KERNEL_VEC: + ggml_sycl_flash_attn_ext_vec(ctx, dst); + break; + } +} + +bool ggml_sycl_flash_attn_ext_supported(int device, const ggml_tensor * dst) { + return ggml_sycl_get_best_fattn_kernel(device, dst) != BEST_FATTN_KERNEL_NONE; +} diff --git a/ggml/src/ggml-sycl/fattn.hpp b/ggml/src/ggml-sycl/fattn.hpp new file mode 100644 index 0000000000..f2a8ffc97d --- /dev/null +++ b/ggml/src/ggml-sycl/fattn.hpp @@ -0,0 +1,22 @@ +// +// MIT license +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_FATTN_HPP +#define GGML_SYCL_FATTN_HPP + +#include "common.hpp" + +void ggml_sycl_flash_attn_ext(ggml_backend_sycl_context & ctx, ggml_tensor * dst); + +bool ggml_sycl_flash_attn_ext_supported(int device, const ggml_tensor * dst); + +#endif // GGML_SYCL_FATTN_HPP diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp index 0614d7e8f3..dfacde0af3 100644 --- a/ggml/src/ggml-sycl/ggml-sycl.cpp +++ b/ggml/src/ggml-sycl/ggml-sycl.cpp @@ -62,6 +62,8 @@ int g_ggml_sycl_disable_graph = 0; int g_ggml_sycl_disable_dnn = 0; int g_ggml_sycl_prioritize_dmmv = 0; int g_ggml_sycl_use_async_mem_op = 0; +int g_ggml_sycl_enable_flash_attention = 1; + static ggml_sycl_device_info ggml_sycl_init() { ggml_sycl_device_info info = {}; @@ -94,11 +96,12 @@ static ggml_sycl_device_info ggml_sycl_init() { info.devices[i].cc = 100 * prop.get_major_version() + 10 * prop.get_minor_version(); - info.devices[i].nsm = prop.get_max_compute_units(); + info.devices[i].nsm = prop.get_max_compute_units() / 16; //16: Number of Xe Cores info.devices[i].opt_feature.reorder = device.ext_oneapi_architecture_is(syclex::arch_category::intel_gpu); info.devices[i].smpbo = prop.get_local_mem_size(); - info.max_work_group_sizes[i] = prop.get_max_work_group_size(); + info.devices[i].max_wg_per_cu = info.max_work_group_sizes[i] / prop.get_max_compute_units(); + } for (int id = 0; id < info.device_count; ++id) { @@ -211,7 +214,37 @@ static void ggml_check_sycl() try { g_ggml_sycl_disable_graph = get_sycl_env("GGML_SYCL_DISABLE_GRAPH", 1); g_ggml_sycl_disable_dnn = get_sycl_env("GGML_SYCL_DISABLE_DNN", 0); g_ggml_sycl_prioritize_dmmv = get_sycl_env("GGML_SYCL_PRIORITIZE_DMMV", 0); + +#ifdef SYCL_FLASH_ATTN + g_ggml_sycl_enable_flash_attention = get_sycl_env("GGML_SYCL_ENABLE_FLASH_ATTN", 1); +#else + g_ggml_sycl_enable_flash_attention = 0; +#endif + GGML_SYCL_DEBUG("[SYCL] call ggml_check_sycl\n"); + + GGML_LOG_INFO("Build with Macros:\n"); +#if defined(GGML_SYCL_FORCE_MMQ) + GGML_LOG_INFO(" GGML_SYCL_FORCE_MMQ: yes\n"); +#else + GGML_LOG_INFO(" GGML_SYCL_FORCE_MMQ: no\n"); +#endif +#if defined(GGML_SYCL_F16) + GGML_LOG_INFO(" GGML_SYCL_F16: yes\n"); +#else + GGML_LOG_INFO(" GGML_SYCL_F16: no\n"); +#endif +#if defined(GGML_SYCL_GRAPH) + GGML_LOG_INFO(" GGML_SYCL_GRAPH: yes\n"); +#else + GGML_LOG_INFO(" GGML_SYCL_GRAPH: no\n"); +#endif +#if defined(GGML_SYCL_DNNL) + GGML_LOG_INFO(" GGML_SYCL_DNNL: yes\n"); +#else + GGML_LOG_INFO(" GGML_SYCL_DNNL: no\n"); +#endif + GGML_LOG_INFO("Running with Environment Variables:\n"); GGML_LOG_INFO(" GGML_SYCL_DEBUG: %d\n", g_ggml_sycl_debug); GGML_LOG_INFO(" GGML_SYCL_DISABLE_OPT: %d\n", g_ggml_sycl_disable_optimize); @@ -226,16 +259,12 @@ static void ggml_check_sycl() try { GGML_LOG_INFO(" GGML_SYCL_DISABLE_DNN: DNN disabled by compile flag\n"); #endif GGML_LOG_INFO(" GGML_SYCL_PRIORITIZE_DMMV: %d\n", g_ggml_sycl_prioritize_dmmv); - GGML_LOG_INFO("Build with Macros:\n"); -#if defined(GGML_SYCL_FORCE_MMQ) - GGML_LOG_INFO(" GGML_SYCL_FORCE_MMQ: yes\n"); + +#ifdef SYCL_FLASH_ATTN + GGML_LOG_INFO(" GGML_SYCL_ENABLE_FLASH_ATTN: %d\n", g_ggml_sycl_enable_flash_attention); #else - GGML_LOG_INFO(" GGML_SYCL_FORCE_MMQ: no\n"); -#endif -#if defined(GGML_SYCL_F16) - GGML_LOG_INFO(" GGML_SYCL_F16: yes\n"); -#else - GGML_LOG_INFO(" GGML_SYCL_F16: no\n"); + GGML_LOG_INFO(" GGML_SYCL_ENABLE_FLASH_ATTN: %d disabled by compile flag\n", + g_ggml_sycl_enable_flash_attention); #endif /* NOT REMOVE, keep it for next optimize for XMX. @@ -3012,7 +3041,7 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons } #if GGML_SYCL_DNNL - // oneDNN handles strided data and does not need overhead of get_to_fp16_nc_sycl + // oneDNN handles strided data and does not need overhead of ggml_get_to_fp16_nc_sycl const int64_t ne_src1 = src1->nb[last_str] * src1->ne[last_dim] / type_size_src1; src1_f16_alloc.alloc(ne_src1); const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type, dst); @@ -3021,7 +3050,7 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons # else const int64_t ne_src1 = ggml_nelements(src1); src1_f16_alloc.alloc(ne_src1); - const to_fp16_nc_sycl_t to_fp16_nc_sycl = get_to_fp16_nc_sycl(src1->type); + const to_fp16_nc_sycl_t to_fp16_nc_sycl = ggml_get_to_fp16_nc_sycl(src1->type); GGML_ASSERT(to_fp16_nc_sycl != nullptr); to_fp16_nc_sycl(src1_f16, src1_f16_alloc.get(), ne10, ne11, ne12, ne13, s11, s12, s13, queue); #endif @@ -4158,6 +4187,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg case GGML_OP_ARANGE: ggml_sycl_arange(ctx, dst); break; + case GGML_OP_FLASH_ATTN_EXT: + ggml_sycl_flash_attn_ext(ctx, dst); + break; default: return false; } @@ -4862,6 +4894,8 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g return op->type == GGML_TYPE_F32; case GGML_OP_ARANGE: return op->type == GGML_TYPE_F32; + case GGML_OP_FLASH_ATTN_EXT: + return ggml_sycl_flash_attn_ext_supported(device, op); default: return false; } diff --git a/ggml/src/ggml-sycl/presets.hpp b/ggml/src/ggml-sycl/presets.hpp index b651737423..dc4dad1d37 100644 --- a/ggml/src/ggml-sycl/presets.hpp +++ b/ggml/src/ggml-sycl/presets.hpp @@ -73,4 +73,7 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUA #define MUL_MAT_SRC1_COL_STRIDE 128 #define QK_WARP_SIZE 32 +#define WARP_32_SIZE 32 +#define WARP_16_SIZE 16 + #endif // GGML_SYCL_PRESETS_HPP diff --git a/ggml/src/ggml-sycl/softmax.cpp b/ggml/src/ggml-sycl/softmax.cpp index 15d92e5e04..fdf9b843e0 100644 --- a/ggml/src/ggml-sycl/softmax.cpp +++ b/ggml/src/ggml-sycl/softmax.cpp @@ -102,7 +102,7 @@ static void soft_max_f32(const float * x, max_val = sycl::max(max_val, val); } // find the max value in the block - max_val = warp_reduce_max(max_val); + max_val = warp_reduce_max(max_val); if (block_size > WARP_SIZE) { if (warp_id == 0) { @@ -116,7 +116,7 @@ static void soft_max_f32(const float * x, item_ct1.barrier(); max_val = buf_iw[lane_id]; - max_val = warp_reduce_max(max_val); + max_val = warp_reduce_max(max_val); } float tmp = 0.0f; // partial sum @@ -133,7 +133,7 @@ static void soft_max_f32(const float * x, vals[col] = val; } // find the sum of exps in the block - tmp = warp_reduce_sum(tmp); + tmp = warp_reduce_sum(tmp); if (block_size > WARP_SIZE) { item_ct1.barrier(); if (warp_id == 0) { @@ -153,7 +153,7 @@ static void soft_max_f32(const float * x, for (size_t i = 1; i < nreduce; i += 1) { tmp += buf_iw[lane_id + i * WARP_SIZE]; } - tmp = warp_reduce_sum(tmp); + tmp = warp_reduce_sum(tmp); } if (sinks) { tmp += sycl::native::exp(sinks[i02] - max_val); @@ -191,7 +191,7 @@ static void soft_max_back_f32(const float *grad, const float *dstf, float *dst, dgf_dot += dstf[col]*grad[col]; } - dgf_dot = warp_reduce_sum(dgf_dot); + dgf_dot = warp_reduce_sum(dgf_dot); for (int col = tid; col < ncols; col += WARP_SIZE) { dst[col] = scale * (grad[col] - dgf_dot) * dstf[col]; diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp new file mode 100644 index 0000000000..5c06d42fdb --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq112-dv112.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(112, 112); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp new file mode 100644 index 0000000000..f74e1202b8 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq128-dv128.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(128, 128); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp new file mode 100644 index 0000000000..b574fe9308 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq256-dv256.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(256, 256); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp new file mode 100644 index 0000000000..8c8fb692c4 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq40-dv40.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(40, 40); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp new file mode 100644 index 0000000000..f218552e85 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq576-dv512.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(576, 512); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp new file mode 100644 index 0000000000..99303a53a3 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq64-dv64.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(64, 64); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp new file mode 100644 index 0000000000..50592768af --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq72-dv72.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(72, 72); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp new file mode 100644 index 0000000000..74f1ea5e90 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq80-dv80.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(80, 80); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp new file mode 100644 index 0000000000..cefb46dddc --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq96-dv96.cpp @@ -0,0 +1,5 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-tile.hpp" + +DECL_FATTN_TILE_CASE(96, 96); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp new file mode 100644 index 0000000000..32cf4f2859 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp new file mode 100644 index 0000000000..a61a19021b --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp new file mode 100644 index 0000000000..63b74fb347 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp new file mode 100644 index 0000000000..46e2d9853c --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp new file mode 100644 index 0000000000..7aabb6ff6e --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp new file mode 100644 index 0000000000..148ea217f6 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp new file mode 100644 index 0000000000..4b169dbcdb --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp new file mode 100644 index 0000000000..79f530b181 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp new file mode 100644 index 0000000000..2f7db51ce8 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp new file mode 100644 index 0000000000..9e3bf0b14a --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp new file mode 100644 index 0000000000..18081879ce --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp new file mode 100644 index 0000000000..1c387b0d87 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp new file mode 100644 index 0000000000..f005b3762c --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp new file mode 100644 index 0000000000..3553b1cdd1 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp new file mode 100644 index 0000000000..687ec56711 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp new file mode 100644 index 0000000000..2663bfe746 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp new file mode 100644 index 0000000000..641b7c7ae2 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp new file mode 100644 index 0000000000..3d3181d471 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp new file mode 100644 index 0000000000..85d5026ad4 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp new file mode 100644 index 0000000000..1e81401a2c --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp new file mode 100644 index 0000000000..54251473f9 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp new file mode 100644 index 0000000000..d418c1fb21 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp new file mode 100644 index 0000000000..0f26cfabd0 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp new file mode 100644 index 0000000000..4fb9872351 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp new file mode 100644 index 0000000000..85b79cd197 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp new file mode 100644 index 0000000000..7348323b28 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp new file mode 100644 index 0000000000..f19af2aa0b --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp new file mode 100644 index 0000000000..d7075bac60 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp new file mode 100644 index 0000000000..627f9a5775 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp new file mode 100644 index 0000000000..23304eecd3 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp new file mode 100644 index 0000000000..95acb5d4fb --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_F16); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp new file mode 100644 index 0000000000..5e88f4bab8 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp new file mode 100644 index 0000000000..69f297feb0 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp new file mode 100644 index 0000000000..455842a942 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp new file mode 100644 index 0000000000..f7ef739157 --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1); diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp new file mode 100644 index 0000000000..1c633bdf2f --- /dev/null +++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp @@ -0,0 +1,7 @@ +// This file has been autogenerated by generate_cu_files.py, do not edit manually. + +#include "../fattn-vec.hpp" + +DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0); +DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0); diff --git a/ggml/src/ggml-sycl/vecdotq.hpp b/ggml/src/ggml-sycl/vecdotq.hpp index 43482b3672..9a267d85a0 100644 --- a/ggml/src/ggml-sycl/vecdotq.hpp +++ b/ggml/src/ggml-sycl/vecdotq.hpp @@ -650,6 +650,19 @@ static __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int *v, const int *u, return d8_0*d8_1 * sumi; } +template +static __dpct_inline__ T vec_dot_q8_0_q8_1_impl(const int * v, const int * u, const T & d8_0, const T & d8_1) { + int sumi = 0; + +#pragma unroll + for (int i = 0; i < vdr; ++i) { + // SIMD dot product of quantized values + sumi = ggml_sycl_dp4a(v[i], u[i], sumi); + } + + return d8_0*d8_1 * ((T) sumi); +} + template static __dpct_inline__ float vec_dot_q8_1_q8_1_impl(const int *v, const int *u, const sycl::half2 &dm8, From ff52ee964d9051e07da0e89a66567f0b893129c6 Mon Sep 17 00:00:00 2001 From: decahedron1 Date: Sun, 8 Mar 2026 04:08:57 -0500 Subject: [PATCH 11/37] server : correct index on finish in OAI completion streams (#20226) --- tools/server/server-task.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tools/server/server-task.cpp b/tools/server/server-task.cpp index 32c0d8f481..9d6e422d62 100644 --- a/tools/server/server-task.cpp +++ b/tools/server/server-task.cpp @@ -827,7 +827,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() { {"choices", json::array({ json { {"finish_reason", nullptr}, - {"index", 0}, + {"index", index}, {"delta", common_chat_msg_diff_to_json_oaicompat(diff)}, }, })}, @@ -843,7 +843,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() { {"choices", json::array({ json { {"finish_reason", finish_reason}, - {"index", 0}, + {"index", index}, {"delta", json::object()}, }, })}, From b283f6d5b3d2d079019ae5ed3cbbdb4b3be03b25 Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Sun, 8 Mar 2026 11:33:03 +0100 Subject: [PATCH 12/37] Revert to OAI-compatible args (#20213) * Revert to OAI-compatible args * Apply workaround::func_args_not_string --- common/chat.cpp | 4 +++- tests/test-chat.cpp | 4 +--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/common/chat.cpp b/common/chat.cpp index 81c23430af..dff7879af0 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -129,7 +129,7 @@ json common_chat_msg::to_json_oaicompat(bool concat_typed_text) const { {"type", "function"}, {"function", { {"name", tool_call.name}, - {"arguments", json::parse(tool_call.arguments)}, + {"arguments", json(tool_call.arguments)}, }}, }; if (!tool_call.id.empty()) { @@ -1353,6 +1353,8 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_ params.add_bos = tmpls->add_bos; params.add_eos = tmpls->add_eos; + workaround::func_args_not_string(params.messages); + if (!tmpl.original_caps().supports_system_role) { workaround::system_message_not_supported(params.messages); } diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index 0bd95af5d4..7b44776713 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -1434,9 +1434,7 @@ static void test_msgs_oaicompat_json_conversion() { " \"type\": \"function\",\n" " \"function\": {\n" " \"name\": \"python\",\n" - " \"arguments\": {\n" - " \"code\": \"print('hey')\"\n" - " }\n" + " \"arguments\": \"{\\\"code\\\":\\\"print('hey')\\\"}\"\n" " }\n" " }\n" " ]\n" From a95047979a1671be970398a7c8073159ac71013e Mon Sep 17 00:00:00 2001 From: Christopher Maher Date: Sun, 8 Mar 2026 03:42:28 -0700 Subject: [PATCH 13/37] readme : update infra list (#20212) --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 125cb3f370..8b03ec7846 100644 --- a/README.md +++ b/README.md @@ -259,6 +259,8 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo - [llama-swap](https://github.com/mostlygeek/llama-swap) - transparent proxy that adds automatic model switching with llama-server - [Kalavai](https://github.com/kalavai-net/kalavai-client) - Crowdsource end to end LLM deployment at any scale - [llmaz](https://github.com/InftyAI/llmaz) - ☸️ Easy, advanced inference platform for large language models on Kubernetes. +- [LLMKube](https://github.com/defilantech/llmkube) - Kubernetes operator for llama.cpp with multi-GPU and Apple Silicon Metal + support"
From a976ff081b4657b67f48295bbefc030d9d899b17 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Sun, 8 Mar 2026 12:30:21 +0100 Subject: [PATCH 14/37] llama: end-to-end tests (#19802) * tests: add end-to-end tests per model architecture * fixup for rebase * fix use-after-free in llama-model-loader.cpp * fix CI * fix WebGPU * fix CI * disable CI for macOS-latest-cmake-arm64 * use expert_weights_scale only if != 0.0f * comments --- .github/workflows/build.yml | 2 +- common/arg.cpp | 9 +- common/common.h | 3 + include/llama.h | 16 +- scripts/git-bisect-run.sh | 18 + scripts/git-bisect.sh | 19 + src/llama-arch.cpp | 10 + src/llama-arch.h | 3 + src/llama-context.cpp | 1 + src/llama-graph.cpp | 3 + src/llama-model-loader.cpp | 656 ++++++++++++++++++++++++++++------- src/llama-model-loader.h | 40 ++- src/llama-model-saver.cpp | 88 ++--- src/llama-model-saver.h | 7 +- src/llama-model.cpp | 558 +++++++---------------------- src/llama-quant.cpp | 5 +- src/llama-vocab.cpp | 2 +- src/llama.cpp | 32 +- src/models/baichuan.cpp | 1 + src/models/bailingmoe2.cpp | 2 +- src/models/dots1.cpp | 2 +- src/models/exaone-moe.cpp | 2 +- src/models/glm4-moe.cpp | 2 +- src/models/kimi-linear.cpp | 14 +- src/models/mamba-base.cpp | 4 + src/models/nemotron-h.cpp | 2 +- src/models/plamo2.cpp | 4 +- tests/CMakeLists.txt | 2 + tests/test-llama-archs.cpp | 532 ++++++++++++++++++++++++++++ tools/CMakeLists.txt | 1 + tools/results/CMakeLists.txt | 8 + tools/results/README.md | 11 + tools/results/results.cpp | 181 ++++++++++ 33 files changed, 1607 insertions(+), 633 deletions(-) create mode 100755 scripts/git-bisect-run.sh create mode 100755 scripts/git-bisect.sh create mode 100644 tests/test-llama-archs.cpp create mode 100644 tools/results/CMakeLists.txt create mode 100644 tools/results/README.md create mode 100644 tools/results/results.cpp diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 30365a3613..d2483e2b10 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -93,7 +93,7 @@ jobs: id: cmake_test run: | cd build - ctest -L main --verbose --timeout 900 + ctest -L main -E "test-llama-archs" --verbose --timeout 900 macOS-latest-cmake-x64: runs-on: macos-15-intel diff --git a/common/arg.cpp b/common/arg.cpp index 0d8561dbb3..ec2c7de16e 100644 --- a/common/arg.cpp +++ b/common/arg.cpp @@ -2666,7 +2666,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex [](common_params & params, const std::string & value) { params.out_file = value; } - ).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_CVECTOR_GENERATOR, LLAMA_EXAMPLE_EXPORT_LORA, LLAMA_EXAMPLE_TTS, LLAMA_EXAMPLE_FINETUNE})); + ).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_CVECTOR_GENERATOR, LLAMA_EXAMPLE_EXPORT_LORA, LLAMA_EXAMPLE_TTS, LLAMA_EXAMPLE_FINETUNE, LLAMA_EXAMPLE_RESULTS})); add_opt(common_arg( {"-ofreq", "--output-frequency"}, "N", string_format("output the imatrix every N iterations (default: %d)", params.n_out_freq), @@ -3607,6 +3607,13 @@ common_params_context common_params_parser_init(common_params & params, llama_ex } } ).set_examples({ LLAMA_EXAMPLE_FINETUNE })); + add_opt(common_arg( + {"--check"}, + string_format("check rather than generate results (default: %s)", params.check ? "true" : "false"), + [](common_params & params) { + params.check = true; + } + ).set_examples({LLAMA_EXAMPLE_RESULTS})); add_opt(common_arg( {"--save-logits"}, string_format("save final logits to files for verification (default: %s)", params.save_logits ? "true" : "false"), diff --git a/common/common.h b/common/common.h index 3e1b23f5d4..440eb97200 100644 --- a/common/common.h +++ b/common/common.h @@ -104,6 +104,7 @@ enum llama_example { LLAMA_EXAMPLE_DIFFUSION, LLAMA_EXAMPLE_FINETUNE, LLAMA_EXAMPLE_FIT_PARAMS, + LLAMA_EXAMPLE_RESULTS, LLAMA_EXAMPLE_COUNT, }; @@ -456,6 +457,8 @@ struct common_params { bool kl_divergence = false; // compute KL divergence + bool check = false; // check rather than generate results for llama-results + bool usage = false; // print usage bool completion = false; // print source-able completion script bool use_color = false; // use color to distinguish generations and inputs diff --git a/include/llama.h b/include/llama.h index a84d56a885..0bd10294cb 100644 --- a/include/llama.h +++ b/include/llama.h @@ -5,6 +5,7 @@ #include "ggml-cpu.h" #include "ggml-backend.h" #include "ggml-opt.h" +#include "gguf.h" #include #include @@ -440,19 +441,30 @@ extern "C" { LLAMA_API void llama_detach_threadpool(struct llama_context * ctx); + typedef void (*llama_model_set_tensor_data_t)(struct ggml_tensor * tensor, void * userdata); + + // Create a new model from GGUF metadata as well as a function to set the tensor data + // - tensors are created as GGML_TYPE_F32 by default, + // override by adding a tensor with the same name but a different name to the context + LLAMA_API struct llama_model * llama_model_init_from_user( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, // function to initialize tensor data with + void * set_tensor_data_ud, // userdata for function + struct llama_model_params params); + DEPRECATED(LLAMA_API struct llama_model * llama_load_model_from_file( const char * path_model, struct llama_model_params params), "use llama_model_load_from_file instead"); - // Load the model from a file + // Load a model from a file // If the file is split into multiple parts, the file name must follow this pattern: -%05d-of-%05d.gguf // If the split file name does not follow this pattern, use llama_model_load_from_splits LLAMA_API struct llama_model * llama_model_load_from_file( const char * path_model, struct llama_model_params params); - // Load the model from multiple splits (support custom naming scheme) + // Load a model from multiple splits (support custom naming scheme) // The paths must be in the correct order LLAMA_API struct llama_model * llama_model_load_from_splits( const char ** paths, diff --git a/scripts/git-bisect-run.sh b/scripts/git-bisect-run.sh new file mode 100755 index 0000000000..cd1b8c104c --- /dev/null +++ b/scripts/git-bisect-run.sh @@ -0,0 +1,18 @@ +#!/usr/bin/env bash + +cmake_args=() +llama_results_args=() + +for arg in "${@}"; do + if [[ "$arg" == -D* ]]; then + cmake_args+=("$arg") + else + llama_results_args+=("$arg") + fi +done + +dir="build-bisect" +rm -rf ${dir} > /dev/null +cmake -B ${dir} -S . ${cmake_args} > /dev/null +cmake --build ${dir} -t llama-results -j $(nproc) > /dev/null +${dir}/bin/llama-results "${llama_results_args[@]}" diff --git a/scripts/git-bisect.sh b/scripts/git-bisect.sh new file mode 100755 index 0000000000..3279d502e1 --- /dev/null +++ b/scripts/git-bisect.sh @@ -0,0 +1,19 @@ +#!/usr/bin/env bash + +if [ $# -lt 2 ]; then + echo "usage: ./scripts/git-bisect.sh [additional arguments]" + echo " additional arguments: passed to CMake if they start with \"-D\", to llama-results otherwise" + exit 1 +fi + +set -e +set -x + +commit_bad=$1 +commit_good=$2 +script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )" +git checkout ${commit_good} +${script_dir}/git-bisect-run.sh --output results.gguf "${@:3}" +git bisect start ${commit_bad} ${commit_good} +git bisect run ${script_dir}/git-bisect-run.sh --output results.gguf --check "${@:3}" +git bisect reset diff --git a/src/llama-arch.cpp b/src/llama-arch.cpp index 47e8d5278a..9d8eb88d0b 100644 --- a/src/llama-arch.cpp +++ b/src/llama-arch.cpp @@ -4,6 +4,7 @@ #include #include +#include static const std::map LLM_ARCH_NAMES = { { LLM_ARCH_CLIP, "clip" }, // dummy, only used by llama-quantize @@ -2786,6 +2787,15 @@ std::string LLM_TN_IMPL::str() const { return name; } +std::vector llm_arch_all() { + std::vector ret; + ret.reserve(LLM_ARCH_NAMES.size()); + for (const auto & [arch, _] : LLM_ARCH_NAMES) { + ret.push_back(arch); + } + return ret; +} + const char * llm_arch_name(llm_arch arch) { auto it = LLM_ARCH_NAMES.find(arch); if (it == LLM_ARCH_NAMES.end()) { diff --git a/src/llama-arch.h b/src/llama-arch.h index 6d1b1df31c..07aac40aa1 100644 --- a/src/llama-arch.h +++ b/src/llama-arch.h @@ -4,6 +4,7 @@ #include #include +#include // // gguf constants (sync with gguf.py) @@ -608,6 +609,8 @@ struct llm_tensor_info { ggml_op op; }; +std::vector llm_arch_all(); + const char * llm_arch_name(llm_arch arch); llm_arch llm_arch_from_string(const std::string & name); diff --git a/src/llama-context.cpp b/src/llama-context.cpp index abaa5c0f8d..009d07e00e 100644 --- a/src/llama-context.cpp +++ b/src/llama-context.cpp @@ -1158,6 +1158,7 @@ llm_graph_result * llama_context::process_ubatch(const llama_ubatch & ubatch, ll { //const auto t_start_us = ggml_time_us(); + // FIXME this call causes a crash if any model inputs were not used in the graph and were therefore not allocated res->set_inputs(&ubatch); //LLAMA_LOG_INFO("graph set inputs time: %.3f ms\n", (ggml_time_us() - t_start_us)/1000.0); diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp index b8126ce508..99bd6796bc 100644 --- a/src/llama-graph.cpp +++ b/src/llama-graph.cpp @@ -509,6 +509,7 @@ void llm_graph_input_attn_cross::set_input(const llama_ubatch * ubatch) { float * data = (float *) cross_kq_mask->data; for (int i = 0; i < n_tokens; ++i) { + GGML_ASSERT(!cross->seq_ids_enc.empty() && "llama_encode must be called first"); for (int j = 0; j < n_enc; ++j) { float f = -INFINITY; @@ -1150,6 +1151,7 @@ ggml_tensor * llm_graph_context::build_ffn( return cur; } +// TODO remove redundant scale_w argument ggml_tensor * llm_graph_context::build_moe_ffn( ggml_tensor * cur, ggml_tensor * gate_inp, @@ -1607,6 +1609,7 @@ ggml_tensor * llm_graph_context::build_inp_attn_scale() const { // this need to be 1x1xN for broadcasting cur = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, 1, 1, n_tokens); ggml_set_input(cur); + ggml_set_name(cur, "attn_scale"); res->add_input(std::move(inp)); diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp index 1501e392ca..2a6196eff3 100644 --- a/src/llama-model-loader.cpp +++ b/src/llama-model-loader.cpp @@ -1,12 +1,17 @@ #include "llama-model-loader.h" +#include "ggml-alloc.h" #include "ggml.h" +#include "gguf.h" +#include "llama-hparams.h" #include #include #include +#include #include #include +#include static const size_t kiB = 1024; static const size_t MiB = 1024*kiB; @@ -263,7 +268,7 @@ namespace GGUFMeta { template typename std::enable_if::value, bool>::type llama_model_loader::get_arr_n(const std::string & key, T & result, bool required) { - const int kid = gguf_find_key(meta.get(), key.c_str()); + const int kid = gguf_find_key(metadata, key.c_str()); if (kid < 0) { if (required) { @@ -273,7 +278,7 @@ namespace GGUFMeta { } struct GGUFMeta::ArrayInfo arr_info = - GGUFMeta::GKV::get_kv(meta.get(), kid); + GGUFMeta::GKV::get_kv(metadata, kid); result = arr_info.length; @@ -290,7 +295,7 @@ namespace GGUFMeta { template bool llama_model_loader::get_arr(const std::string & key, std::vector & result, bool required) { - const gguf_context * ctx = meta.get(); + const gguf_context * ctx = metadata; const int kid = gguf_find_key(ctx, key.c_str()); if (kid < 0 || gguf_get_kv_type(ctx, kid) != GGUF_TYPE_ARRAY) { @@ -331,7 +336,7 @@ namespace GGUFMeta { template bool llama_model_loader::get_arr(const std::string & key, std::array & result, bool required) { - const gguf_context * ctx = meta.get(); + const gguf_context * ctx = metadata; const int kid = gguf_find_key(ctx, key.c_str()); if (kid < 0 || gguf_get_kv_type(ctx, kid) != GGUF_TYPE_ARRAY) { @@ -393,7 +398,7 @@ namespace GGUFMeta { const struct llama_model_kv_override * override = it != kv_overrides.end() ? &it->second : nullptr; - const bool found = GGUFMeta::GKV::set(meta.get(), key, result, override); + const bool found = GGUFMeta::GKV::set(metadata, key, result, override); if (required && !found) { throw std::runtime_error(format("key not found in model: %s", key.c_str())); @@ -427,7 +432,7 @@ namespace GGUFMeta { // get array of n <= N_MAX elements, or a single element repeated n times template bool llama_model_loader::get_key_or_arr(const std::string & key, std::array & result, uint32_t n, bool required) { - const int kid = gguf_find_key(meta.get(), key.c_str()); + const int kid = gguf_find_key(metadata, key.c_str()); if (kid < 0) { if (required) { @@ -440,9 +445,9 @@ namespace GGUFMeta { throw std::runtime_error(format("n > N_MAX: %u > %u for key %s", (uint32_t) n, (uint32_t) N_MAX, key.c_str())); } - if (gguf_get_kv_type(meta.get(), kid) == GGUF_TYPE_ARRAY) { + if (gguf_get_kv_type(metadata, kid) == GGUF_TYPE_ARRAY) { struct GGUFMeta::ArrayInfo arr_info = - GGUFMeta::GKV::get_kv(meta.get(), kid); + GGUFMeta::GKV::get_kv(metadata, kid); if (n != arr_info.length) { throw std::runtime_error(format("key %s has wrong array length; expected %u, got %u", key.c_str(), n, (uint32_t) arr_info.length)); @@ -473,7 +478,7 @@ namespace GGUFMeta { bool llama_model_loader::get_key_or_arr(enum llm_kv kid, uint32_t & result, bool required) { const std::string key = llm_kv(kid); - const int id = gguf_find_key(meta.get(), key.c_str()); + const int id = gguf_find_key(metadata, key.c_str()); if (id < 0) { if (required) { @@ -483,7 +488,7 @@ namespace GGUFMeta { } // throw and error if type is an array - if (gguf_get_kv_type(meta.get(), id) == GGUF_TYPE_ARRAY) { + if (gguf_get_kv_type(metadata, id) == GGUF_TYPE_ARRAY) { if (required) { throw std::runtime_error(format("expected scalar, found array for key: %s", key.c_str())); } @@ -500,6 +505,9 @@ namespace GGUFMeta { llama_model_loader::llama_model_loader( + struct gguf_context * meta, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, const std::string & fname, std::vector & splits, bool use_mmap, @@ -507,7 +515,8 @@ llama_model_loader::llama_model_loader( bool check_tensors, bool no_alloc, const llama_model_kv_override * param_overrides_p, - const llama_model_tensor_buft_override * param_tensor_buft_overrides_p) { + const llama_model_tensor_buft_override * param_tensor_buft_overrides_p) + : metadata(meta), set_tensor_data(set_tensor_data), set_tensor_data_ud(set_tensor_data_ud) { int trace = 0; if (getenv("LLAMA_TRACE")) { trace = atoi(getenv("LLAMA_TRACE")); @@ -521,136 +530,142 @@ llama_model_loader::llama_model_loader( tensor_buft_overrides = param_tensor_buft_overrides_p; - // Load the main GGUF - struct ggml_context * ctx = NULL; - struct gguf_init_params params = { - /*.no_alloc = */ true, - /*.ctx = */ &ctx, - }; + if (!fname.empty()) { + // Load the main GGUF + struct ggml_context * ctx = NULL; + struct gguf_init_params params = { + /*.no_alloc = */ true, + /*.ctx = */ &ctx, + }; - meta.reset(gguf_init_from_file(fname.c_str(), params)); - if (!meta) { - throw std::runtime_error(format("%s: failed to load model from %s", __func__, fname.c_str())); - } - - get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false); - llm_kv = LLM_KV(llm_arch_from_string(arch_name)); - - files.emplace_back(new llama_file(fname.c_str(), "rb", use_direct_io)); - contexts.emplace_back(ctx); - - if (use_mmap && use_direct_io) { - if (files.back()->has_direct_io()) { - LLAMA_LOG_WARN("%s: direct I/O is enabled, disabling mmap\n", __func__); - use_mmap = false; - } else { - LLAMA_LOG_WARN("%s: direct I/O is not available, using mmap\n", __func__); - use_direct_io = false; - - // reopen file using std::fopen for mmap - files.pop_back(); - files.emplace_back(new llama_file(fname.c_str(), "rb", false)); - } - } - - // Save tensors data offset of the main file. - // For subsidiary files, `meta` tensor data offset must not be used, - // so we build a unified tensors index for weights. - for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) { - std::string tensor_name = std::string(cur->name); - // make sure there is no duplicated tensor names - if (weights_map.find(tensor_name) != weights_map.end()) { - throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur))); - } - n_elements += ggml_nelements(cur); - n_bytes += ggml_nbytes(cur); - weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), 0, meta.get(), cur)); - } - uint16_t n_split = 0; - get_key(llm_kv(LLM_KV_SPLIT_COUNT), n_split, false); - - // Load additional GGML contexts - if (n_split > 1) { - // make sure the main file is loaded first - uint16_t idx = 0; - const std::string kv_split_no = llm_kv(LLM_KV_SPLIT_NO); - get_key(kv_split_no, idx); - if (idx != 0) { - throw std::runtime_error(format("illegal split file idx: %d (file: %s), model must be loaded with the first split", idx, fname.c_str())); + metadata_ptr.reset(gguf_init_from_file(fname.c_str(), params)); + metadata = metadata_ptr.get(); + if (metadata == nullptr) { + throw std::runtime_error(format("%s: failed to load model from %s", __func__, fname.c_str())); } - // generate list of splits if needed - if (splits.empty()) { - splits = llama_get_list_splits(fname, idx, n_split); + get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false); + llm_kv = LLM_KV(llm_arch_from_string(arch_name)); + + files.emplace_back(new llama_file(fname.c_str(), "rb", use_direct_io)); + contexts.emplace_back(ctx); + + if (use_mmap && use_direct_io) { + if (files.back()->has_direct_io()) { + LLAMA_LOG_WARN("%s: direct I/O is enabled, disabling mmap\n", __func__); + use_mmap = false; + } else { + LLAMA_LOG_WARN("%s: direct I/O is not available, using mmap\n", __func__); + use_direct_io = false; + + // reopen file using std::fopen for mmap + files.pop_back(); + files.emplace_back(new llama_file(fname.c_str(), "rb", false)); + } } - // in case user give a custom list of splits, check if it matches the expected number - if (n_split != (uint16_t)splits.size()) { - throw std::runtime_error(format("invalid split count, given: %zu splits, but expected %d", splits.size(), n_split)); + // Save tensors data offset of the main file. + // For subsidiary files, `meta` tensor data offset must not be used, + // so we build a unified tensors index for weights. + for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) { + std::string tensor_name = std::string(cur->name); + // make sure there is no duplicated tensor names + if (weights_map.find(tensor_name) != weights_map.end()) { + throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur))); + } + n_elements += ggml_nelements(cur); + n_bytes += ggml_nbytes(cur); + weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), 0, metadata, cur)); } + uint16_t n_split = 0; + get_key(llm_kv(LLM_KV_SPLIT_COUNT), n_split, false); - if (trace > 0) { - LLAMA_LOG_INFO("%s: loading additional %d GGUFs\n", __func__, n_split); - } - - // load other splits - for (idx = 1; idx < n_split; idx++) { - const char * fname_split = splits[idx].c_str(); - - struct gguf_init_params split_params = { - /*.no_alloc = */ true, - /*.ctx = */ &ctx, - }; - gguf_context_ptr ctx_gguf { gguf_init_from_file(fname_split, split_params) }; - if (!ctx_gguf) { - throw std::runtime_error(format("%s: failed to load GGUF split from %s", __func__, fname_split)); + // Load additional GGML contexts + if (n_split > 1) { + // make sure the main file is loaded first + uint16_t idx = 0; + const std::string kv_split_no = llm_kv(LLM_KV_SPLIT_NO); + get_key(kv_split_no, idx); + if (idx != 0) { + throw std::runtime_error(format("illegal split file idx: %d (file: %s), model must be loaded with the first split", idx, fname.c_str())); } - // check idx + // generate list of splits if needed + if (splits.empty()) { + splits = llama_get_list_splits(fname, idx, n_split); + } + + // in case user give a custom list of splits, check if it matches the expected number + if (n_split != (uint16_t)splits.size()) { + throw std::runtime_error(format("invalid split count, given: %zu splits, but expected %d", splits.size(), n_split)); + } + + if (trace > 0) { + LLAMA_LOG_INFO("%s: loading additional %d GGUFs\n", __func__, n_split); + } + + // load other splits + for (idx = 1; idx < n_split; idx++) { + const char * fname_split = splits[idx].c_str(); + + struct gguf_init_params split_params = { + /*.no_alloc = */ true, + /*.ctx = */ &ctx, + }; + gguf_context_ptr ctx_gguf { gguf_init_from_file(fname_split, split_params) }; + if (!ctx_gguf) { + throw std::runtime_error(format("%s: failed to load GGUF split from %s", __func__, fname_split)); + } + + // check idx + { + const int kid = gguf_find_key(ctx_gguf.get(), kv_split_no.c_str()); + if (kid < 0) { + throw std::runtime_error(format("missing key %s in GGUF split %s", kv_split_no.c_str(), fname_split)); + } + int idx_gguf = gguf_get_val_u16(ctx_gguf.get(), kid); + if (idx_gguf != idx) { + throw std::runtime_error(format("invalid split file idx: %d (file: %s), expected %d", idx_gguf, fname_split, idx)); + } + } + + files.emplace_back(new llama_file(fname_split, "rb", use_direct_io)); + contexts.emplace_back(ctx); + + // Save tensors data offset info of the shard. + for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) { + std::string tensor_name = std::string(cur->name); + // make sure there is no duplicated tensor names + if (weights_map.find(tensor_name) != weights_map.end()) { + throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur))); + } + n_elements += ggml_nelements(cur); + n_bytes += ggml_nbytes(cur); + weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), idx, ctx_gguf.get(), cur)); + } + } + + get_key(llm_kv(LLM_KV_SPLIT_TENSORS_COUNT), n_tensors); + + // sanity check { - const int kid = gguf_find_key(ctx_gguf.get(), kv_split_no.c_str()); - if (kid < 0) { - throw std::runtime_error(format("missing key %s in GGUF split %s", kv_split_no.c_str(), fname_split)); - } - int idx_gguf = gguf_get_val_u16(ctx_gguf.get(), kid); - if (idx_gguf != idx) { - throw std::runtime_error(format("invalid split file idx: %d (file: %s), expected %d", idx_gguf, fname_split, idx)); + const int n_tensors_loaded = (int) weights_map.size(); + if (n_tensors != n_tensors_loaded) { + throw std::runtime_error(format("corrupted model: %d tensors expected but %d found", n_tensors, n_tensors_loaded)); } } - files.emplace_back(new llama_file(fname_split, "rb", use_direct_io)); - contexts.emplace_back(ctx); - - // Save tensors data offset info of the shard. - for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) { - std::string tensor_name = std::string(cur->name); - // make sure there is no duplicated tensor names - if (weights_map.find(tensor_name) != weights_map.end()) { - throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur))); - } - n_elements += ggml_nelements(cur); - n_bytes += ggml_nbytes(cur); - weights_map.emplace(tensor_name, llama_tensor_weight(files.back().get(), idx, ctx_gguf.get(), cur)); - } + LLAMA_LOG_INFO("%s: additional %d GGUFs metadata loaded.\n", __func__, n_split - 1); } - - get_key(llm_kv(LLM_KV_SPLIT_TENSORS_COUNT), n_tensors); - - // sanity check - { - const int n_tensors_loaded = (int) weights_map.size(); - if (n_tensors != n_tensors_loaded) { - throw std::runtime_error(format("corrupted model: %d tensors expected but %d found", n_tensors, n_tensors_loaded)); - } - } - - LLAMA_LOG_INFO("%s: additional %d GGUFs metadata loaded.\n", __func__, n_split - 1); + } else { + get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false); + llm_kv = LLM_KV(llm_arch_from_string(arch_name)); } - n_kv = gguf_get_n_kv(meta.get()); + n_kv = gguf_get_n_kv(metadata); n_tensors = weights_map.size(); - fver = (enum llama_fver) gguf_get_version(meta.get()); + fver = (enum llama_fver) gguf_get_version(metadata); LLAMA_LOG_INFO("%s: loaded meta data with %d key-value pairs and %d tensors from %s (version %s)\n", __func__, n_kv, n_tensors, fname.c_str(), llama_file_version_name(fver)); @@ -729,14 +744,14 @@ llama_model_loader::llama_model_loader( LLAMA_LOG_INFO("%s: Dumping metadata keys/values. Note: KV overrides do not apply in this output.\n", __func__); for (int i = 0; i < n_kv; i++) { - const char * name = gguf_get_key(meta.get(), i); - const enum gguf_type type = gguf_get_kv_type(meta.get(), i); + const char * name = gguf_get_key(metadata, i); + const enum gguf_type type = gguf_get_kv_type(metadata, i); const std::string type_name = type == GGUF_TYPE_ARRAY - ? format("%s[%s,%zu]", gguf_type_name(type), gguf_type_name(gguf_get_arr_type(meta.get(), i)), gguf_get_arr_n(meta.get(), i)) + ? format("%s[%s,%zu]", gguf_type_name(type), gguf_type_name(gguf_get_arr_type(metadata, i)), gguf_get_arr_n(metadata, i)) : gguf_type_name(type); - std::string value = gguf_kv_to_str(meta.get(), i); + std::string value = gguf_kv_to_str(metadata, i); const size_t MAX_VALUE_LEN = 40; if (value.size() > MAX_VALUE_LEN) { value = format("%s...", value.substr(0, MAX_VALUE_LEN - 3).c_str()); @@ -838,15 +853,382 @@ const struct ggml_tensor * llama_model_loader::check_tensor_dims(const std::stri return cur; } -struct ggml_tensor * llama_model_loader::create_tensor(struct ggml_context * ctx, const std::string & name, const std::initializer_list & ne, int flags) { - LLAMA_LOG_DEBUG("%s: loading tensor %s\n", __func__, name.c_str()); - const struct ggml_tensor * cur = check_tensor_dims(name, ne, !(flags & TENSOR_NOT_REQUIRED)); +// checks if the weight tensor can be used with the specified buffer type and device +static bool weight_buft_supported(const llama_hparams & hparams, ggml_tensor * w, ggml_op op, ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev) { + GGML_ASSERT(w != nullptr); + + if (op == GGML_OP_NONE) { + return true; + } + + ggml_init_params params = { + /*.mem_size =*/ ggml_tensor_overhead()*8, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + ggml_context_ptr ctx_ptr { ggml_init(params) }; + if (!ctx_ptr) { + throw std::runtime_error(format("failed to create ggml context")); + } + ggml_context * ctx = ctx_ptr.get(); + + ggml_tensor * op_tensor = nullptr; + + switch (op) { + case GGML_OP_GET_ROWS: + { + ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512); + op_tensor = ggml_get_rows(ctx, w, b); + } break; + case GGML_OP_MUL_MAT: + { + ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], 512, w->ne[2], w->ne[3]); + op_tensor = ggml_mul_mat(ctx, w, b); + } break; + case GGML_OP_MUL_MAT_ID: + { + const int n_expert_used = hparams.n_expert_used; + GGML_ASSERT(n_expert_used > 0); + ggml_tensor * b = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512); + ggml_tensor * ids = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512); + op_tensor = ggml_mul_mat_id(ctx, w, b, ids); + } break; + case GGML_OP_ADD: + { + ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]); + op_tensor = ggml_add(ctx, a, w); + } break; + case GGML_OP_ADD_ID: + { + const int n_expert_used = hparams.n_expert_used; + GGML_ASSERT(n_expert_used > 0); + ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512); + ggml_tensor * c = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512); + op_tensor = ggml_add_id(ctx, a, w, c); + } break; + case GGML_OP_MUL: + { + ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]); + op_tensor = ggml_mul(ctx, a, w); + } break; + case GGML_OP_DIV: + { + ggml_tensor * a = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, w->ne[0]); + op_tensor = ggml_div(ctx, a, w); + } break; + case GGML_OP_ROPE: + { + const int n_embd_head = hparams.n_embd_head_v; + const int n_head = hparams.n_head(); + ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_embd_head, n_head, 512); + ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512); + op_tensor = ggml_rope_ext( + ctx, a, b, w, + 0, 0, 0, 0, 0, + 0, 0, 0, 0 + ); + + } break; + case GGML_OP_SSM_CONV: + { + const int64_t n_seq_tokens = 512; + const int64_t n_seqs = 3; + ggml_tensor * conv_x = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0] - 1 + n_seq_tokens, w->ne[1], n_seqs); + op_tensor = ggml_ssm_conv(ctx, conv_x, w); + } break; + case GGML_OP_SSM_SCAN: + { + // w is ssm_a, which is used to distinguish Mamba-1 and Mamba-2 + const int64_t d_state = w->ne[0] == 1 ? hparams.ssm_d_state : w->ne[0]; + const int64_t n_head = w->ne[1]; + const int64_t head_dim = hparams.ssm_d_inner / n_head; + const int64_t n_group = hparams.ssm_n_group ? hparams.ssm_n_group : 1; + const int64_t n_seq_tokens = 512; + const int64_t n_seqs = 3; + ggml_tensor * s = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, head_dim, n_head, n_seqs); + ggml_tensor * x = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, head_dim, n_head, n_seq_tokens, n_seqs); + ggml_tensor * dt = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_head, n_seq_tokens, n_seqs); + ggml_tensor * B = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs); + ggml_tensor * C = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs); + ggml_tensor * ids = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, n_seqs); + op_tensor = ggml_ssm_scan(ctx, s, x, dt, w, B, C, ids); + } break; + case GGML_OP_RWKV_WKV6: + { + // FIXME + const int64_t S = 123; + const int64_t H = 123; + const int64_t n_tokens = 123; + const int64_t n_seqs = 123; + ggml_tensor * k = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); + ggml_tensor * v = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); + ggml_tensor * r = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); + ggml_tensor * tf = w; + ggml_tensor * td = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); + ggml_tensor * state = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, S, n_seqs, S, H); + op_tensor = ggml_rwkv_wkv6(ctx, k, v, r, tf, td, state); + } break; + case GGML_OP_IM2COL: + { + const int n_embd_inp = hparams.n_embd_inp(); + ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_embd_inp, w->ne[1], 1, 1); + op_tensor = ggml_im2col(ctx, w, b, 1, 0, 0, 0, 1, 0, false, GGML_TYPE_F16); + } break; + case GGML_OP_SCALE: + { + op_tensor = ggml_scale(ctx, w, 1.0f); + } break; + default: + GGML_ABORT("%s: missing test for op %s for tensor %s", __func__, ggml_op_name(op), w->name); + } + + // create a temporary dummy buffer for the weight so that supports_op can check the buffer type + GGML_ASSERT(w->buffer == nullptr); + w->buffer = ggml_backend_buft_alloc_buffer(buft, 0); + bool op_supported = ggml_backend_dev_supports_op(dev, op_tensor); + ggml_backend_buffer_free(w->buffer); + w->buffer = nullptr; + + return op_supported; +} + +// find the first buffer type in the list that can use the tensor +static ggml_backend_buffer_type_t select_weight_buft(const llama_hparams & hparams, ggml_tensor * tensor, ggml_op op, const buft_list_t * buft_list) { + GGML_ASSERT(!buft_list->empty()); + for (const auto & cur : *buft_list) { + ggml_backend_dev_t cur_dev = cur.first; + ggml_backend_buffer_type_t cur_buft = cur.second; + if (weight_buft_supported(hparams, tensor, op, cur_buft, cur_dev)) { + return cur_buft; + } + } + + return nullptr; +} + +struct ggml_tensor * llama_model_loader::create_tensor( + const llama_hparams & hparams, const buft_list_t * buft_list_cpu, const buft_list_t * buft_list_input, const buft_list_t * buft_list_output, + const buft_list_t * buft_list_layer, const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags) { + auto ctx_for_buft = [&](ggml_backend_buffer_type_t buft) -> ggml_context * { + auto it = ctx_map.find(buft); + if (it == ctx_map.end()) { + // one ggml context per buffer type + int max_n_tensors = n_tensors; + max_n_tensors += 1; // duplicated output tensor + max_n_tensors += hparams.n_layer*2; // duplicated rope freq tensors + if (files.empty()) { + max_n_tensors += hparams.n_layer*256; // this should be well above what any model actually uses + } + const size_t ctx_size = ggml_tensor_overhead()*max_n_tensors; + + ggml_init_params params = { + /*.mem_size =*/ ctx_size, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + + ggml_context * ctx = ggml_init(params); + if (!ctx) { + throw std::runtime_error(format("failed to create ggml context")); + } + + ctx_map.emplace(buft, ctx); + + return ctx; + } + return it->second.get(); + }; + + auto buft_for_tensor = [&](ggml_tensor * t_meta) -> ggml_backend_buffer_type_t { + if (!t_meta) { + if (flags & TENSOR_NOT_REQUIRED) { + return nullptr; + } + throw std::runtime_error(format("missing tensor '%s'", tn.str().c_str())); + } + + // some models use the token embedding tensor as the output, but since these are used in different layers and with different ops + // the tensor is duplicated + // to handle this, we check if the tensor is duplicated, and if so, we assume that it is being loaded as the output tensor + llm_tensor tn_tensor = tn.tensor; + if (tn.tensor == LLM_TENSOR_TOKEN_EMBD && (flags & TENSOR_DUPLICATED)) { + tn_tensor = LLM_TENSOR_OUTPUT; + } + + llm_tensor_info info; + try { + info = llm_tensor_info_for(tn_tensor); + } catch (const std::out_of_range & e) { + throw std::runtime_error(format("missing tensor info mapping for %s", tn.str().c_str())); + } + + // skip unused tensors + if (info.op == GGML_OP_NONE || (flags & TENSOR_SKIP)) { + const size_t nbytes = ggml_nbytes(t_meta); + LLAMA_LOG_WARN("model has unused tensor %s (size = %zu bytes) -- ignoring\n", tn.str().c_str(), nbytes); + + size_data -= nbytes; + n_created++; + + return nullptr; + } + + // tensors with "bias" suffix are always used with GGML_OP_ADD or GGML_OP_ADD_ID + ggml_op op; + bool bias = tn.suffix != nullptr && strcmp(tn.suffix, "bias") == 0; + if (bias) { + if (info.op == GGML_OP_MUL_MAT_ID) { + op = GGML_OP_ADD_ID; + } else { + op = GGML_OP_ADD; + } + } else { + op = info.op; + } + + // sanity checks + if (info.layer == LLM_TENSOR_LAYER_INPUT || info.layer == LLM_TENSOR_LAYER_OUTPUT) { + if (tn.bid != -1) { + GGML_ABORT("input/output layer tensor %s used with a layer number", tn.str().c_str()); + } + } else { + if (tn.bid == -1) { + GGML_ABORT("repeating layer tensor %s used without a layer number", tn.str().c_str()); + } + } + + // select the buffer type for this tensor + const buft_list_t * buft_list; + switch (info.layer) { + case LLM_TENSOR_LAYER_INPUT: + buft_list = buft_list_input; + break; + case LLM_TENSOR_LAYER_OUTPUT: + buft_list = buft_list_output; + break; + case LLM_TENSOR_LAYER_REPEATING: + GGML_ASSERT(buft_list_layer != nullptr); + buft_list = buft_list_layer; + break; + default: + GGML_ABORT("invalid layer %d for tensor %s", info.layer, tn.str().c_str()); + } + + ggml_backend_buffer_type_t buft = nullptr; + + // check overrides + if (tensor_buft_overrides) { + std::string tensor_name = tn.str(); + for (const auto * overrides = tensor_buft_overrides; overrides->pattern != nullptr; ++overrides) { + std::regex pattern(overrides->pattern); + if (std::regex_search(tensor_name, pattern)) { + if (overrides->buft == ggml_backend_cpu_buffer_type()) { + // when overriding to a CPU buffer, consider the extra buffer types + buft = select_weight_buft(hparams, t_meta, op, buft_list_cpu); + } else { + buft = overrides->buft; + } + + LLAMA_LOG_DEBUG("tensor %s (%zu MiB %s) buffer type overridden to %s\n", + tensor_name.c_str(), + ggml_nbytes(t_meta) / 1024 / 1024, ggml_type_name(t_meta->type), + ggml_backend_buft_name(buft)); + break; + } + } + } + + if (!buft) { + buft = select_weight_buft(hparams, t_meta, op, buft_list); + if (!buft) { + throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", tn.str().c_str())); + } + } + + // avoid using a host buffer when using mmap + auto * buft_dev = ggml_backend_buft_get_device(buft); + if (use_mmap && buft_dev && buft == ggml_backend_dev_host_buffer_type(buft_dev)) { + auto * cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU); + if (!cpu_dev) { + throw std::runtime_error("no CPU backend found"); + } + buft = ggml_backend_dev_buffer_type(cpu_dev); + } + + if (buft != buft_list->front().second) { + if (n_tensors_moved == 0) { + first_tensor_moved_name = t_meta->name; + first_tensor_moved_type_name = ggml_type_name(t_meta->type); + first_moved_from_buft = buft_list->front().second; + first_moved_to_buft = buft; + } + n_tensors_moved++; + } + + return buft; + }; + + if (files.empty()) { + if (flags & TENSOR_SKIP_IF_VIRTUAL) { + return nullptr; + } + ggml_type type = GGML_TYPE_F32; + const int64_t tid = gguf_find_tensor(metadata, tn.str().c_str()); + if (tid != -1) { + type = gguf_get_tensor_type(metadata, tid); + } + + // for tensors that are not required some of the dimensions can be invalid: + if (flags & TENSOR_NOT_REQUIRED) { + for (size_t dim = 0; dim < ne.size(); dim++) { + if (ne.begin()[dim] <= 0) { + return nullptr; + } + } + } + + ggml_tensor t_meta; + memset(&t_meta, 0, sizeof(ggml_tensor)); + t_meta.type = type; + for (size_t dim = 0; dim < GGML_MAX_DIMS; dim++) { + t_meta.ne[dim] = dim < ne.size() ? ne.begin()[dim] : 1; + GGML_ASSERT(t_meta.ne[dim] >= 1); + t_meta.nb[dim] = dim == 0 ? ggml_type_size(type) : t_meta.ne[dim-1]*t_meta.nb[dim-1]; + GGML_ASSERT(t_meta.nb[dim] >= 1); + } + ggml_set_name(&t_meta, tn.str().c_str()); + + ggml_backend_buffer_type_t buft = buft_for_tensor(&t_meta); + GGML_ASSERT(buft != nullptr); + ggml_context * ctx = ctx_for_buft(buft); + ggml_tensor * ret = ggml_dup_tensor(ctx, &t_meta); + ggml_set_name(ret, tn.str().c_str()); + return ret; + } + + ggml_tensor * t_meta = get_tensor_meta(tn.str().c_str()); + ggml_backend_buffer_type_t buft = buft_for_tensor(t_meta); + if (buft == nullptr) { + return nullptr; // return type is ggml_tensor * + } + ggml_context * ctx = ctx_for_buft(buft); + + // if duplicated, check if the original tensor was allocated in the same buffer type context and avoid creating a new one + if (flags & TENSOR_DUPLICATED) { + ggml_tensor * t = ggml_get_tensor(ctx, tn.str().c_str()); + if (t) { + return t; + } + } + + LLAMA_LOG_DEBUG("%s: loading tensor %s\n", __func__, tn.str().c_str()); + const struct ggml_tensor * cur = check_tensor_dims(tn.str(), ne, !(flags & TENSOR_NOT_REQUIRED)); if (cur == NULL) { return NULL; } - bool duplicated = flags & TENSOR_DUPLICATED; + const bool duplicated = flags & TENSOR_DUPLICATED; struct ggml_tensor * tensor = ggml_dup_tensor(ctx, cur); ggml_set_name(tensor, ggml_get_name(cur)); @@ -858,7 +1240,6 @@ struct ggml_tensor * llama_model_loader::create_tensor(struct ggml_context * ctx } return tensor; - } struct ggml_tensor * llama_model_loader::create_tensor_as_view(struct ggml_context * ctx, struct ggml_tensor * base, const std::string & name, const std::initializer_list & ne, size_t offset, bool required) { @@ -893,6 +1274,11 @@ void llama_model_loader::done_getting_tensors() const { if (n_created != n_tensors) { throw std::runtime_error(format("%s: wrong number of tensors; expected %d, got %d", __func__, n_tensors, n_created)); } + if (n_tensors_moved > 0) { + LLAMA_LOG_DEBUG("%s: tensor '%s' (%s) (and %zu others) cannot be used with preferred buffer type %s, using %s instead\n", + __func__, first_tensor_moved_name.c_str(), first_tensor_moved_type_name.c_str(), n_tensors_moved - 1, + ggml_backend_buft_name(first_moved_from_buft), ggml_backend_buft_name(first_moved_to_buft)); + } } void llama_model_loader::init_mappings(bool prefetch, llama_mlocks * mlock_mmaps) { @@ -974,6 +1360,12 @@ bool llama_model_loader::load_all_data( llama_mlocks * lmlocks, llama_progress_callback progress_callback, void * progress_callback_user_data) { + if (files.empty()) { + for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) { + set_tensor_data(t, set_tensor_data_ud); + } + return true; + } GGML_ASSERT(size_data != 0 && "call init_mappings() first"); std::vector> read_buf; diff --git a/src/llama-model-loader.h b/src/llama-model-loader.h index 65953dd3d5..ed5de729ca 100644 --- a/src/llama-model-loader.h +++ b/src/llama-model-loader.h @@ -4,17 +4,22 @@ #include "llama-impl.h" #include "llama-arch.h" +#include "llama-hparams.h" #include "llama-mmap.h" #include "ggml-cpp.h" #include +#include #include #include #include using llama_buf_map = std::unordered_map; +// lists of buffer types used for each layer +using buft_list_t = std::vector>; + enum llama_fver { GGUF_FILE_VERSION_V1 = 1, GGUF_FILE_VERSION_V2 = 2, @@ -58,9 +63,10 @@ struct llama_model_loader { } }; - static const int TENSOR_NOT_REQUIRED = 1 << 0; - static const int TENSOR_DUPLICATED = 1 << 1; - static const int TENSOR_SKIP = 1 << 2; + static const int TENSOR_NOT_REQUIRED = 1 << 0; + static const int TENSOR_DUPLICATED = 1 << 1; + static const int TENSOR_SKIP = 1 << 2; + static const int TENSOR_SKIP_IF_VIRTUAL = 1 << 3; int n_kv = 0; int n_tensors = 0; @@ -84,7 +90,10 @@ struct llama_model_loader { std::unordered_map kv_overrides; const llama_model_tensor_buft_override * tensor_buft_overrides; - gguf_context_ptr meta; + gguf_context_ptr metadata_ptr; + struct gguf_context * metadata; // either metadata_ptr.get() or externally set + llama_model_set_tensor_data_t set_tensor_data; + void * set_tensor_data_ud; std::vector contexts; std::string arch_name; @@ -94,7 +103,26 @@ struct llama_model_loader { size_t size_data = 0; std::vector> mmaps_used; + // define a comparator for the buft -> ctx map to ensure that the order is well-defined: + struct ggml_backend_buft_comparator { + bool operator()(const ggml_backend_buffer_type_t & lhs, const ggml_backend_buffer_type_t & rhs) const { + return strcmp(ggml_backend_buft_name(lhs), ggml_backend_buft_name(rhs)) < 0; + } + }; + + std::map ctx_map; + + // track tensors that had to be moved for debugging: + size_t n_tensors_moved = 0; + std::string first_tensor_moved_name; + std::string first_tensor_moved_type_name; + ggml_backend_buffer_type_t first_moved_from_buft = nullptr; + ggml_backend_buffer_type_t first_moved_to_buft = nullptr; + llama_model_loader( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, const std::string & fname, std::vector & splits, // optional, only need if the split does not follow naming scheme bool use_mmap, @@ -149,7 +177,9 @@ struct llama_model_loader { const struct ggml_tensor * check_tensor_dims(const std::string & name, const std::vector & ne, bool required) const; - struct ggml_tensor * create_tensor(struct ggml_context * ctx, const std::string & name, const std::initializer_list & ne, int flags = 0); + struct ggml_tensor * create_tensor( + const llama_hparams & hparams, const buft_list_t * buft_list_cpu, const buft_list_t * buft_list_input, const buft_list_t * buft_list_output, + const buft_list_t * buft_list_layer, const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags); struct ggml_tensor * create_tensor_as_view(struct ggml_context * ctx, struct ggml_tensor * base, const std::string & name, const std::initializer_list & ne, size_t offset, bool required = true); diff --git a/src/llama-model-saver.cpp b/src/llama-model-saver.cpp index 676efeda70..9f677b40cf 100644 --- a/src/llama-model-saver.cpp +++ b/src/llama-model-saver.cpp @@ -7,14 +7,19 @@ #include "llama-model.h" #include "llama-vocab.h" +#include #include -llama_model_saver::llama_model_saver(const struct llama_model & model) : model(model), llm_kv(model.arch) { - gguf_ctx = gguf_init_empty(); -} +llama_model_saver::llama_model_saver(const struct llama_model * model) : + gguf_ctx(gguf_init_empty()), gguf_ctx_owned(true), model(model), llm_kv(model->arch) {} + +llama_model_saver::llama_model_saver(enum llm_arch arch, struct gguf_context * gguf_ctx) : + gguf_ctx(gguf_ctx == nullptr ? gguf_init_empty() : gguf_ctx), gguf_ctx_owned(gguf_ctx == nullptr), model(nullptr), llm_kv(arch) {} llama_model_saver::~llama_model_saver() { - gguf_free(gguf_ctx); + if (gguf_ctx_owned) { + gguf_free(gguf_ctx); + } } void llama_model_saver::add_kv(const enum llm_kv key, const uint32_t value) { @@ -46,7 +51,8 @@ void llama_model_saver::add_kv(const enum llm_kv key, const char value) { template void llama_model_saver::add_kv(const enum llm_kv key, const Container & value, const bool per_layer) { - const size_t n_values = per_layer ? size_t(model.hparams.n_layer) : value.size(); + GGML_ASSERT(model != nullptr || !per_layer); + const size_t n_values = per_layer ? size_t(model->hparams.n_layer) : value.size(); GGML_ASSERT(n_values <= value.size()); if (n_values == 0) { @@ -83,6 +89,8 @@ void llama_model_saver::add_kv(const enum llm_kv key, const Container & value, c GGML_ABORT("fatal error"); } } +// instantiate for external usage: +template void llama_model_saver::add_kv>(const enum llm_kv, const std::vector &, const bool); void llama_model_saver::add_kv(const enum llm_kv key, const std::vector & value) { std::vector tmp(value.size()); @@ -104,37 +112,39 @@ void llama_model_saver::add_tensor(const struct ggml_tensor * tensor) { } void llama_model_saver::add_kv_from_model() { - const llama_hparams & hparams = model.hparams; - const llama_vocab & vocab = model.vocab; + const llama_hparams & hparams = model->hparams; + const llama_vocab & vocab = model->vocab; const int32_t n_vocab = vocab.n_tokens(); std::vector tokens(n_vocab); std::vector scores(n_vocab); std::vector token_types(n_vocab); - for (int32_t id = 0; id < n_vocab; ++id) { - const llama_vocab::token_data & token_data = vocab.get_token_data(id); + if (vocab.get_type() != LLAMA_VOCAB_TYPE_NONE) { + for (int32_t id = 0; id < n_vocab; ++id) { + const llama_vocab::token_data & token_data = vocab.get_token_data(id); - tokens[id] = token_data.text; - scores[id] = token_data.score; + tokens[id] = token_data.text; + scores[id] = token_data.score; - switch(token_data.attr) { - case LLAMA_TOKEN_ATTR_UNKNOWN: token_types[id] = LLAMA_TOKEN_TYPE_UNKNOWN; break; - case LLAMA_TOKEN_ATTR_UNUSED: token_types[id] = LLAMA_TOKEN_TYPE_UNUSED; break; - case LLAMA_TOKEN_ATTR_NORMAL: token_types[id] = LLAMA_TOKEN_TYPE_NORMAL; break; - case LLAMA_TOKEN_ATTR_CONTROL: token_types[id] = LLAMA_TOKEN_TYPE_CONTROL; break; - case LLAMA_TOKEN_ATTR_USER_DEFINED: token_types[id] = LLAMA_TOKEN_TYPE_USER_DEFINED; break; - case LLAMA_TOKEN_ATTR_BYTE: token_types[id] = LLAMA_TOKEN_TYPE_BYTE; break; - case LLAMA_TOKEN_ATTR_UNDEFINED: - default: token_types[id] = LLAMA_TOKEN_TYPE_UNDEFINED; break; + switch(token_data.attr) { + case LLAMA_TOKEN_ATTR_UNKNOWN: token_types[id] = LLAMA_TOKEN_TYPE_UNKNOWN; break; + case LLAMA_TOKEN_ATTR_UNUSED: token_types[id] = LLAMA_TOKEN_TYPE_UNUSED; break; + case LLAMA_TOKEN_ATTR_NORMAL: token_types[id] = LLAMA_TOKEN_TYPE_NORMAL; break; + case LLAMA_TOKEN_ATTR_CONTROL: token_types[id] = LLAMA_TOKEN_TYPE_CONTROL; break; + case LLAMA_TOKEN_ATTR_USER_DEFINED: token_types[id] = LLAMA_TOKEN_TYPE_USER_DEFINED; break; + case LLAMA_TOKEN_ATTR_BYTE: token_types[id] = LLAMA_TOKEN_TYPE_BYTE; break; + case LLAMA_TOKEN_ATTR_UNDEFINED: + default: token_types[id] = LLAMA_TOKEN_TYPE_UNDEFINED; break; + } } } // add_kv(LLM_KV_GENERAL_TYPE, ???); - add_kv(LLM_KV_GENERAL_ARCHITECTURE, model.arch_name()); + add_kv(LLM_KV_GENERAL_ARCHITECTURE, model->arch_name()); // add_kv(LLM_KV_GENERAL_QUANTIZATION_VERSION, ???); // add_kv(LLM_KV_GENERAL_ALIGNMENT, ???); - add_kv(LLM_KV_GENERAL_NAME, model.name); + add_kv(LLM_KV_GENERAL_NAME, model->name); // add_kv(LLM_KV_GENERAL_AUTHOR, ???); // add_kv(LLM_KV_GENERAL_VERSION, ???); // add_kv(LLM_KV_GENERAL_URL, ???); @@ -255,25 +265,25 @@ void llama_model_saver::add_kv_from_model() { } void llama_model_saver::add_tensors_from_model() { - if (std::string(model.output->name) != std::string(model.tok_embd->name)) { - add_tensor(model.tok_embd); // some models use the same tensor for tok_embd and output + if (std::string(model->output->name) != std::string(model->tok_embd->name)) { + add_tensor(model->tok_embd); // some models use the same tensor for tok_embd and output } - add_tensor(model.type_embd); - add_tensor(model.pos_embd); - add_tensor(model.tok_norm); - add_tensor(model.tok_norm_b); - add_tensor(model.output_norm); - add_tensor(model.output_norm_b); - add_tensor(model.output); - add_tensor(model.output_b); - add_tensor(model.output_norm_enc); - add_tensor(model.cls); - add_tensor(model.cls_b); - add_tensor(model.cls_out); - add_tensor(model.cls_out_b); - add_tensor(model.cls_norm); + add_tensor(model->type_embd); + add_tensor(model->pos_embd); + add_tensor(model->tok_norm); + add_tensor(model->tok_norm_b); + add_tensor(model->output_norm); + add_tensor(model->output_norm_b); + add_tensor(model->output); + add_tensor(model->output_b); + add_tensor(model->output_norm_enc); + add_tensor(model->cls); + add_tensor(model->cls_b); + add_tensor(model->cls_out); + add_tensor(model->cls_out_b); + add_tensor(model->cls_norm); - for (const struct llama_layer & layer : model.layers) { + for (const struct llama_layer & layer : model->layers) { for (size_t i = 0; i < sizeof(layer)/sizeof(struct ggml_tensor *); ++i) { add_tensor(reinterpret_cast(&layer)[i]); } diff --git a/src/llama-model-saver.h b/src/llama-model-saver.h index a5a434c306..2b3541ce6c 100644 --- a/src/llama-model-saver.h +++ b/src/llama-model-saver.h @@ -1,5 +1,6 @@ #pragma once +#include "gguf.h" #include "llama.h" #include "llama-arch.h" @@ -7,10 +8,12 @@ struct llama_model_saver { struct gguf_context * gguf_ctx = nullptr; - const struct llama_model & model; + const bool gguf_ctx_owned; + const struct llama_model * model; const struct LLM_KV llm_kv; - llama_model_saver(const struct llama_model & model); + llama_model_saver(const struct llama_model * model); + llama_model_saver(enum llm_arch arch, struct gguf_context * gguf_ctx); ~llama_model_saver(); void add_kv(enum llm_kv key, uint32_t value); diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 924e5708cd..ef9c2dfc58 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -1,5 +1,6 @@ #include "llama-model.h" +#include "ggml.h" #include "llama-impl.h" #include "llama-mmap.h" #include "llama-cparams.h" @@ -18,6 +19,7 @@ #include #include #include +#include #include #include #include @@ -177,160 +179,6 @@ static llama_rope_scaling_type llama_rope_scaling_type_from_string(const std::st return LLAMA_ROPE_SCALING_TYPE_UNSPECIFIED; } -// checks if the weight tensor can be used with the specified buffer type and device -static bool weight_buft_supported(const llama_hparams & hparams, ggml_tensor * w, ggml_op op, ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev) { - GGML_ASSERT(w != nullptr); - - if (op == GGML_OP_NONE) { - return true; - } - - ggml_init_params params = { - /*.mem_size =*/ ggml_tensor_overhead()*8, - /*.mem_buffer =*/ NULL, - /*.no_alloc =*/ true, - }; - ggml_context_ptr ctx_ptr { ggml_init(params) }; - if (!ctx_ptr) { - throw std::runtime_error(format("failed to create ggml context")); - } - ggml_context * ctx = ctx_ptr.get(); - - ggml_tensor * op_tensor = nullptr; - - switch (op) { - case GGML_OP_GET_ROWS: - { - ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512); - op_tensor = ggml_get_rows(ctx, w, b); - } break; - case GGML_OP_MUL_MAT: - { - ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], 512, w->ne[2], w->ne[3]); - op_tensor = ggml_mul_mat(ctx, w, b); - } break; - case GGML_OP_MUL_MAT_ID: - { - int n_expert_used = hparams.n_expert_used; - ggml_tensor * b = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512); - ggml_tensor * ids = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512); - op_tensor = ggml_mul_mat_id(ctx, w, b, ids); - } break; - case GGML_OP_ADD: - { - ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]); - op_tensor = ggml_add(ctx, a, w); - } break; - case GGML_OP_ADD_ID: - { - int n_expert_used = hparams.n_expert_used; - ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0], n_expert_used, 512); - ggml_tensor * c = ggml_new_tensor_2d(ctx, GGML_TYPE_I32, n_expert_used, 512); - op_tensor = ggml_add_id(ctx, a, w, c); - } break; - case GGML_OP_MUL: - { - ggml_tensor * a = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], w->ne[1], w->ne[2], w->ne[3]); - op_tensor = ggml_mul(ctx, a, w); - } break; - case GGML_OP_DIV: - { - ggml_tensor * a = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, w->ne[0]); - op_tensor = ggml_div(ctx, a, w); - } break; - case GGML_OP_ROPE: - { - int n_embd_head = hparams.n_embd_head_v; - int n_head = hparams.n_head(); - ggml_tensor * a = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_embd_head, n_head, 512); - ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 512); - op_tensor = ggml_rope_ext( - ctx, a, b, w, - 0, 0, 0, 0, 0, - 0, 0, 0, 0 - ); - - } break; - case GGML_OP_SSM_CONV: - { - const int64_t n_seq_tokens = 512; - const int64_t n_seqs = 3; - ggml_tensor * conv_x = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, w->ne[0] - 1 + n_seq_tokens, w->ne[1], n_seqs); - op_tensor = ggml_ssm_conv(ctx, conv_x, w); - } break; - case GGML_OP_SSM_SCAN: - { - // w is ssm_a, which is used to distinguish Mamba-1 and Mamba-2 - const int64_t d_state = w->ne[0] == 1 ? hparams.ssm_d_state : w->ne[0]; - const int64_t n_head = w->ne[1]; - const int64_t head_dim = hparams.ssm_d_inner / n_head; - const int64_t n_group = hparams.ssm_n_group ? hparams.ssm_n_group : 1; - const int64_t n_seq_tokens = 512; - const int64_t n_seqs = 3; - ggml_tensor * s = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, head_dim, n_head, n_seqs); - ggml_tensor * x = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, head_dim, n_head, n_seq_tokens, n_seqs); - ggml_tensor * dt = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_head, n_seq_tokens, n_seqs); - ggml_tensor * B = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs); - ggml_tensor * C = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, d_state, n_group, n_seq_tokens, n_seqs); - ggml_tensor * ids = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, n_seqs); - op_tensor = ggml_ssm_scan(ctx, s, x, dt, w, B, C, ids); - } break; - case GGML_OP_RWKV_WKV6: - { - // FIXME - const int64_t S = 123; - const int64_t H = 123; - const int64_t n_tokens = 123; - const int64_t n_seqs = 123; - ggml_tensor * k = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); - ggml_tensor * v = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); - ggml_tensor * r = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); - ggml_tensor * tf = w; - ggml_tensor * td = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, S, H, n_tokens); - ggml_tensor * state = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, S, n_seqs, S, H); - op_tensor = ggml_rwkv_wkv6(ctx, k, v, r, tf, td, state); - } break; - case GGML_OP_IM2COL: - { - const int n_embd_inp = hparams.n_embd_inp(); - ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, n_embd_inp, w->ne[1], 1, 1); - op_tensor = ggml_im2col(ctx, w, b, 1, 0, 0, 0, 1, 0, false, GGML_TYPE_F16); - } break; - case GGML_OP_SCALE: - { - op_tensor = ggml_scale(ctx, w, 1.0f); - } break; - default: - GGML_ABORT("%s: missing test for op %s for tensor %s", __func__, ggml_op_name(op), w->name); - } - - // create a temporary dummy buffer for the weight so that supports_op can check the buffer type - GGML_ASSERT(w->buffer == nullptr); - w->buffer = ggml_backend_buft_alloc_buffer(buft, 0); - bool op_supported = ggml_backend_dev_supports_op(dev, op_tensor); - ggml_backend_buffer_free(w->buffer); - w->buffer = nullptr; - - return op_supported; -} - -// lists of buffer types used for each layer -using buft_list_t = std::vector>; - -// find the first buffer type in the list that can use the tensor -static ggml_backend_buffer_type_t select_weight_buft(const llama_hparams & hparams, ggml_tensor * tensor, ggml_op op, const buft_list_t & buft_list) { - GGML_ASSERT(!buft_list.empty()); - for (const auto & cur : buft_list) { - ggml_backend_dev_t cur_dev = cur.first; - ggml_backend_buffer_type_t cur_buft = cur.second; - if (weight_buft_supported(hparams, tensor, op, cur_buft, cur_dev)) { - return cur_buft; - } - } - - return nullptr; -} - // CPU: ACCEL -> GPU host -> CPU extra -> CPU static buft_list_t make_cpu_buft_list(const std::vector & devices, bool use_extra_bufts, bool no_host) { buft_list_t buft_list; @@ -496,7 +344,7 @@ void llama_model::load_arch(llama_model_loader & ml) { } void llama_model::load_hparams(llama_model_loader & ml) { - const gguf_context * ctx = ml.meta.get(); + const gguf_context * ctx = ml.metadata; // get metadata as string for (int i = 0; i < gguf_get_n_kv(ctx); i++) { @@ -690,7 +538,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { hparams.n_attn_temp_floor_scale = 8192; hparams.f_attn_temp_scale = 0.1f; hparams.f_attn_temp_offset = 1.0f; - hparams.set_swa_pattern(4); // pattern: 3 chunked - 1 full + uint32_t swa_period = 4; // pattern: 3 chunked - 1 full + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -727,7 +577,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_AFMOE: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); @@ -739,7 +589,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { // Pattern: 3 sliding - 1 full (global_attn_every_n_layers = 4) if (hparams.n_swa > 0) { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -884,7 +736,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_BERT: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); switch (hparams.n_layer) { @@ -907,10 +759,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { { const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { - uint32_t swa_period = 3; hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC; - - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + uint32_t swa_period = 3; ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); hparams.set_swa_pattern(swa_period, true); } else { @@ -918,7 +769,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { } ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); switch (hparams.n_layer) { @@ -934,7 +785,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_JINA_BERT_V2: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); hparams.f_max_alibi_bias = 8.0f; @@ -947,7 +798,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_JINA_BERT_V3: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); switch (hparams.n_layer) { @@ -960,8 +811,8 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_NOMIC_BERT_MOE: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); - ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); + ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS, hparams.moe_every_n_layers, 0); if (hparams.n_layer == 12 && hparams.n_embd == 768) { @@ -975,8 +826,8 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_NEO_BERT: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); - ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); + ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); if (hparams.n_layer == 28) { type = LLM_TYPE_250M; @@ -985,8 +836,8 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_EUROBERT: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); - ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); + ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); if (hparams.n_layer == 12) { type = LLM_TYPE_SMALL; // 0.2B @@ -1014,7 +865,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV, hparams.f_clamp_kqv, false); - ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias); + ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false); switch (hparams.n_layer) { case 32: type = LLM_TYPE_7B; break; @@ -1273,9 +1124,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { - uint32_t swa_period = 8; hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); + uint32_t swa_period = 8; ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); hparams.set_swa_pattern(swa_period); } else { @@ -1338,7 +1189,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; hparams.n_swa = 4096; // default value of gemma 2 - hparams.set_swa_pattern(2); + uint32_t swa_period = 2; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.attn_soft_cap = true; hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -1366,7 +1219,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(6); + uint32_t swa_period = 6; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); } else { @@ -1394,8 +1249,10 @@ void llama_model::load_hparams(llama_model_loader & ml) { } break; case LLM_ARCH_GEMMA3N: { + uint32_t swa_period = 5; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(5); + hparams.set_swa_pattern(swa_period); hparams.n_layer_kv_from_start = 20; hparams.f_attention_scale = 1.0f; @@ -1413,14 +1270,16 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_GEMMA_EMBEDDING: { hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC; - hparams.set_swa_pattern(6); + uint32_t swa_period = 6; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.causal_attn = false; // embeddings do not use causal attention ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type); + ml.get_key(LLM_KV_POOLING_TYPE, hparams.pooling_type, false); //applied only if model converted with --sentence-transformers-dense-modules ml.get_key(LLM_KV_DENSE_2_FEAT_IN, hparams.dense_2_feat_in, false); @@ -1545,7 +1404,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { } break; case LLM_ARCH_COMMAND_R: { - ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); + ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, false); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); switch (hparams.n_layer) { case 40: type = LLM_TYPE_35B; break; @@ -1555,7 +1414,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_COHERE2: { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -1597,7 +1458,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = 1.0; // See olmo2.cpp @@ -1704,10 +1567,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_DEEPSEEK: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); switch (hparams.n_ff_exp) { case 1408: type = LLM_TYPE_16B; break; @@ -1721,7 +1583,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { const bool is_lite = (hparams.n_layer == 27 || hparams.n_layer == 26 || (hparams.n_layer == 48 && n_vocab == 128256)); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); if (!is_lite) { ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q); } @@ -1823,7 +1685,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); // Expert gating function (GLM-4.5 uses sigmoid) @@ -1856,7 +1718,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_USED_COUNT, hparams.n_expert_used); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); // deepseek MLA parameters @@ -1942,7 +1804,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_JAIS: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); - ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias); + ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false); switch (hparams.n_layer) { case 24: type = LLM_TYPE_1_3B; break; @@ -2012,7 +1874,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { if (hparams.n_layer == 64) { // 32B hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; hparams.n_swa = 4096; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -2032,7 +1896,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { { hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; hparams.n_swa = 128; - hparams.set_swa_pattern(4); + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -2045,7 +1911,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); @@ -2129,9 +1995,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale); - ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale); - ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale); - ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale); + ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, false); + ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, false); + ml.get_key(LLM_KV_ATTENTION_SCALE, hparams.f_attention_scale, false); // Granite uses rope_finetuned as a switch for rope, so default to true bool rope_finetuned = true; @@ -2189,7 +2055,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); hparams.f_norm_eps = 1e-5; // eps for qk-norm, torch default - ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm); + ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm, false); switch (hparams.n_layer) { case 32: type = LLM_TYPE_7B; break; @@ -2202,15 +2068,14 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps); ml.get_key(LLM_KV_ATTENTION_GROUPNORM_EPS, hparams.f_norm_group_eps); ml.get_key(LLM_KV_ATTENTION_GROUPNORM_GROUPS, hparams.n_norm_groups); - ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn); + ml.get_key(LLM_KV_ATTENTION_CAUSAL, hparams.causal_attn, false); } break; case LLM_ARCH_BAILINGMOE: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); switch (hparams.n_layer) { @@ -2222,11 +2087,11 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_BAILINGMOE2: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false); @@ -2245,10 +2110,10 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_DOTS1: { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func, false); switch (hparams.n_layer) { @@ -2268,7 +2133,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, hparams.n_moe_layer_step); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); } switch (hparams.n_layer) { @@ -2313,7 +2178,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); switch (hparams.n_layer) { case 32: type = LLM_TYPE_A13B; break; @@ -2349,7 +2214,9 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.set_swa_pattern(2); + uint32_t swa_period = 2; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -2387,7 +2254,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { { ml.get_key(LLM_KV_SHORTCONV_L_CACHE, hparams.n_shortconv_l_cache); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); @@ -2406,9 +2273,11 @@ void llama_model::load_hparams(llama_model_loader & ml) { const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); if (found_swa && hparams.n_swa > 0) { - hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; - hparams.n_swa = 4096; - hparams.set_swa_pattern(4, true); + hparams.swa_type = LLAMA_SWA_TYPE_STANDARD; + hparams.n_swa = 4096; + uint32_t swa_period = 4; + ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false); + hparams.set_swa_pattern(swa_period, true); hparams.rope_freq_base_train_swa = hparams.rope_freq_base_train; hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train; @@ -2431,7 +2300,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { case LLM_ARCH_GROVEMOE: { ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); - ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, hparams.n_ff_chexp); + ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, hparams.n_ff_chexp, false); ml.get_key(LLM_KV_EXPERT_GROUP_SCALE, hparams.expert_group_scale); ml.get_key(LLM_KV_EXPERTS_PER_GROUP, hparams.n_group_experts); ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); @@ -2602,7 +2471,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); switch (hparams.n_layer) { @@ -2632,8 +2501,8 @@ void llama_model::load_hparams(llama_model_loader & ml) { // MoE parameters - Kimi uses moe_intermediate_size = 1024 ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); - ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead); - ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale); + ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_GATING_FUNC, hparams.expert_gating_func); switch (hparams.n_layer) { @@ -2660,7 +2529,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { } ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa); - ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa); + ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false); ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer); ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_EXP, hparams.swiglu_clamp_exp, hparams.n_layer, false); ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_SHEXP, hparams.swiglu_clamp_shexp, hparams.n_layer, false); @@ -2670,7 +2539,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { default: type = LLM_TYPE_UNKNOWN; } } break; - default: throw std::runtime_error("unsupported model architecture"); + default: throw std::runtime_error("unsupported model architecture: " + arch_name()); } pimpl->n_bytes = ml.n_bytes; @@ -2777,44 +2646,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // assign the output layer pimpl->dev_output = get_layer_buft_list(n_layer); - // one ggml context per buffer type - int max_n_tensors = ml.n_tensors; - max_n_tensors += 1; // duplicated output tensor - max_n_tensors += n_layer*2; // duplicated rope freq tensors - const size_t ctx_size = ggml_tensor_overhead()*max_n_tensors; - - // define a comparator for the buft -> ctx map to ensure that the order is well-defined: - struct ggml_backend_buft_comparator { - bool operator()(const ggml_backend_buffer_type_t & lhs, const ggml_backend_buffer_type_t & rhs) const { - return strcmp(ggml_backend_buft_name(lhs), ggml_backend_buft_name(rhs)) < 0; - } - }; - std::map ctx_map; - - auto ctx_for_buft = [&](ggml_backend_buffer_type_t buft) -> ggml_context * { - auto it = ctx_map.find(buft); - if (it == ctx_map.end()) { - ggml_init_params params = { - /*.mem_size =*/ ctx_size, - /*.mem_buffer =*/ NULL, - /*.no_alloc =*/ true, - }; - - ggml_context * ctx = ggml_init(params); - if (!ctx) { - throw std::runtime_error(format("failed to create ggml context")); - } - - ctx_map.emplace(buft, ctx); - - return ctx; - } - return it->second.get(); - }; - - const auto TENSOR_DUPLICATED = llama_model_loader::TENSOR_DUPLICATED; - const auto TENSOR_NOT_REQUIRED = llama_model_loader::TENSOR_NOT_REQUIRED; - const auto TENSOR_SKIP = llama_model_loader::TENSOR_SKIP; + const auto TENSOR_DUPLICATED = llama_model_loader::TENSOR_DUPLICATED; + const auto TENSOR_NOT_REQUIRED = llama_model_loader::TENSOR_NOT_REQUIRED; + const auto TENSOR_SKIP = llama_model_loader::TENSOR_SKIP; + const auto TENSOR_SKIP_IF_VIRTUAL = llama_model_loader::TENSOR_SKIP_IF_VIRTUAL; // create tensors for the weights { @@ -2839,147 +2674,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) { throw std::runtime_error("model has expert layers but no expert layers are used"); } - int n_moved_tensors = 0; - ggml_tensor * first_moved_tensor = nullptr; - ggml_backend_buffer_type_t first_moved_from_buft = nullptr; - ggml_backend_buffer_type_t first_moved_to_buft = nullptr; - auto create_tensor = [&](const LLM_TN_IMPL & tn, const std::initializer_list & ne, int flags) -> ggml_tensor * { - ggml_tensor * t_meta = ml.get_tensor_meta(tn.str().c_str()); - - if (!t_meta) { - if (flags & TENSOR_NOT_REQUIRED) { - return nullptr; - } - throw std::runtime_error(format("missing tensor '%s'", tn.str().c_str())); - } - - // some models use the token embedding tensor as the output, but since these are used in different layers and with different ops - // the tensor is duplicated - // to handle this, we check if the tensor is duplicated, and if so, we assume that it is being loaded as the output tensor - llm_tensor tn_tensor = tn.tensor; - if (tn.tensor == LLM_TENSOR_TOKEN_EMBD && flags & TENSOR_DUPLICATED) { - tn_tensor = LLM_TENSOR_OUTPUT; - } - - llm_tensor_info info; - try { - info = llm_tensor_info_for(tn_tensor); - } catch (const std::out_of_range & e) { - throw std::runtime_error(format("missing tensor info mapping for %s", tn.str().c_str())); - } - - // skip unused tensors - if (info.op == GGML_OP_NONE || flags & TENSOR_SKIP) { - const size_t nbytes = ggml_nbytes(t_meta); - LLAMA_LOG_WARN("model has unused tensor %s (size = %zu bytes) -- ignoring\n", tn.str().c_str(), nbytes); - - ml.size_data -= nbytes; - ml.n_created++; - - return nullptr; - } - - // tensors with "bias" suffix are always used with GGML_OP_ADD or GGML_OP_ADD_ID - ggml_op op; - bool bias = tn.suffix != nullptr && strcmp(tn.suffix, "bias") == 0; - if (bias) { - if (info.op == GGML_OP_MUL_MAT_ID) { - op = GGML_OP_ADD_ID; - } else { - op = GGML_OP_ADD; - } - } else { - op = info.op; - } - - // sanity checks - if (info.layer == LLM_TENSOR_LAYER_INPUT || info.layer == LLM_TENSOR_LAYER_OUTPUT) { - if (tn.bid != -1) { - GGML_ABORT("input/output layer tensor %s used with a layer number", tn.str().c_str()); - } - } else { - if (tn.bid == -1) { - GGML_ABORT("repeating layer tensor %s used without a layer number", tn.str().c_str()); - } - } - - // select the buffer type for this tensor - buft_list_t * buft_list; - switch (info.layer) { - case LLM_TENSOR_LAYER_INPUT: - buft_list = pimpl->dev_input.buft_list; - break; - case LLM_TENSOR_LAYER_OUTPUT: - buft_list = pimpl->dev_output.buft_list; - break; - case LLM_TENSOR_LAYER_REPEATING: - buft_list = pimpl->dev_layer.at(tn.bid).buft_list; - break; - default: - GGML_ABORT("invalid layer %d for tensor %s", info.layer, tn.str().c_str()); - } - - ggml_backend_buffer_type_t buft = nullptr; - - // check overrides - if (ml.tensor_buft_overrides) { - std::string tensor_name = tn.str(); - for (const auto * overrides = ml.tensor_buft_overrides; overrides->pattern != nullptr; ++overrides) { - std::regex pattern(overrides->pattern); - if (std::regex_search(tensor_name, pattern)) { - if (overrides->buft == ggml_backend_cpu_buffer_type()) { - // when overriding to a CPU buffer, consider the extra buffer types - buft = select_weight_buft(hparams, t_meta, op, pimpl->cpu_buft_list); - } else { - buft = overrides->buft; - } - - LLAMA_LOG_DEBUG("tensor %s (%zu MiB %s) buffer type overridden to %s\n", - tensor_name.c_str(), - ggml_nbytes(t_meta) / 1024 / 1024, ggml_type_name(t_meta->type), - ggml_backend_buft_name(buft)); - break; - } - } - } - - if (!buft) { - buft = select_weight_buft(hparams, t_meta, op, *buft_list); - if (!buft) { - throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", tn.str().c_str())); - } - } - - // avoid using a host buffer when using mmap - auto * buft_dev = ggml_backend_buft_get_device(buft); - if (ml.use_mmap && buft_dev && buft == ggml_backend_dev_host_buffer_type(buft_dev)) { - auto * cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU); - if (!cpu_dev) { - throw std::runtime_error("no CPU backend found"); - } - buft = ggml_backend_dev_buffer_type(cpu_dev); - } - - if (buft != buft_list->front().second) { - n_moved_tensors++; - if (!first_moved_tensor) { - first_moved_tensor = t_meta; - first_moved_from_buft = buft_list->front().second; - first_moved_to_buft = buft; - } - } - - ggml_context * ctx = ctx_for_buft(buft); - - // if duplicated, check if the original tensor was allocated in the same buffer type context and avoid creating a new one - if (flags & TENSOR_DUPLICATED) { - ggml_tensor * t = ggml_get_tensor(ctx, tn.str().c_str()); - if (t) { - return t; - } - } - return ml.create_tensor(ctx, tn, ne, flags); + const buft_list_t * buft_list_layer = tn.bid == -1 ? nullptr : pimpl->dev_layer.at(tn.bid).buft_list; + return ml.create_tensor( + hparams, &pimpl->cpu_buft_list, pimpl->dev_input.buft_list, pimpl->dev_output.buft_list, buft_list_layer, + tn, ne, flags); }; layers.resize(n_layer); @@ -3148,6 +2847,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } break; case LLM_ARCH_LLAMA4: { + if (n_expert == 0) { + throw std::runtime_error(arch_name() + " model cannot have zero experts"); + } tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); // output @@ -3160,7 +2862,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } for (int i = 0; i < n_layer; ++i) { - bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0; + const bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0; auto & layer = layers[i]; @@ -3176,7 +2878,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0)); if (is_moe_layer) { - int n_ff_exp = hparams.n_ff_exp; + const int64_t n_ff_exp = hparams.n_ff_exp; layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0); layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0); @@ -3307,7 +3009,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { case LLM_ARCH_GROK: { if (n_expert == 0) { - throw std::runtime_error("Grok model cannot have zero experts"); + throw std::runtime_error(arch_name() + " model cannot have zero experts"); } tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); @@ -3479,6 +3181,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { case LLM_ARCH_NOMIC_BERT_MOE: case LLM_ARCH_JINA_BERT_V3: { + if (n_token_types == 0) { + throw std::runtime_error(arch_name() + " model needs to define token type count"); + } tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0); type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED); @@ -3745,8 +3450,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0); layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED); - layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); - layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); + // FIXME test-llama-archs crashes if q_norm is created + layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); + layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED); layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED); @@ -5172,6 +4878,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_embd_head_qk_rope = hparams.n_rot; const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope; + GGML_ASSERT(n_embd_head_qk_nope >= 1); const int64_t q_lora_rank = hparams.n_lora_q; const int64_t kv_lora_rank = hparams.n_lora_kv; @@ -5363,7 +5070,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.attn_norm_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_NORM, "weight", i), {n_embd}, 0); // this tensor seems to be unused in HF transformers implementation - layer.attn_rel_b_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED); + layer.attn_rel_b_cross = create_tensor( + tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); layer.wq_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_Q, "weight", i), {n_embd, n_embd_k_gqa}, 0); layer.wk_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0); @@ -5969,7 +5677,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_ff_exp = hparams.n_ff_exp; const int64_t n_expert = hparams.n_expert; const int64_t n_expert_used = hparams.n_expert_used; - const int64_t n_ff_shexp = hparams.n_ff_shexp; + const int64_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : n_ff_exp; const int64_t head_dim = hparams.n_embd_head_k; const int64_t n_qo_dim = n_head * head_dim; const int64_t n_kv_dim = n_head_kv * head_dim; @@ -6830,6 +6538,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { for (int i = 0; i < n_layer; ++i) { auto & layer = layers[i]; + const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i); layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0); @@ -6848,9 +6557,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff, n_embd, n_expert}, 0); layer.ffn_up_exps = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0); - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0); + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0); } } break; case LLM_ARCH_HUNYUAN_DENSE: @@ -7186,15 +6895,14 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t n_embd_head_v_kda = hparams.n_embd_head_kda; const int64_t ssm_d_conv = hparams.ssm_d_conv; - // Try loading KDA specific tensors (using SSM_ prefix) - // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1) - // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner] - layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); - if (!layer.ssm_q_conv) { - layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, TENSOR_NOT_REQUIRED); - } + if (hparams.is_recurrent(i)) { + // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1) + // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner] + layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); + if (!layer.ssm_q_conv) { + layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0); + } - if (layer.ssm_q_conv) { // KDA Layer - Conv1d weights may be 3D or 4D layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED); if (!layer.ssm_k_conv) { @@ -7261,7 +6969,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const int64_t qk_rope_head_dim = hparams.n_rot; // From config: qk_rope_head_dim layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + qk_rope_head_dim}, 0); // Support Legacy GGUFs that don't split wkv_b (MLA KV cache disabled) - layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED); + layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), + {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL); if (!layer.wkv_b) { // MLA KV cache enabled layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_k_mla - qk_rope_head_dim, kv_lora_rank, n_head}, 0); layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0); @@ -7381,6 +7090,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) { } break; case LLM_ARCH_QWEN3NEXT: { + if (n_expert == 0) { + throw std::runtime_error(arch_name() + " model cannot have zero experts"); + } + tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0); // output @@ -7409,6 +7122,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) { for (int i = 0; i < n_layer; ++i) { auto & layer = layers[i]; + const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i); layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0); layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0); @@ -7444,9 +7158,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // Shared experts layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0); - layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, hparams.n_ff_shexp }, 0); - layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, hparams.n_ff_shexp }, 0); - layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { hparams.n_ff_shexp, n_embd }, 0); + layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); + layer.ffn_up_shexp = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, 0); + layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, 0); } } break; case LLM_ARCH_QWEN35MOE: @@ -7711,12 +7425,6 @@ bool llama_model::load_tensors(llama_model_loader & ml) { default: throw std::runtime_error("unknown architecture"); } - - if (n_moved_tensors > 0) { - LLAMA_LOG_DEBUG("%s: tensor '%s' (%s) (and %d others) cannot be used with preferred buffer type %s, using %s instead\n", - __func__, first_moved_tensor->name, ggml_type_name(first_moved_tensor->type), n_moved_tensors - 1, - ggml_backend_buft_name(first_moved_from_buft), ggml_backend_buft_name(first_moved_to_buft)); - } } ml.done_getting_tensors(); @@ -7726,13 +7434,13 @@ bool llama_model::load_tensors(llama_model_loader & ml) { // create the backend buffers std::vector> ctx_buf_maps; - ctx_buf_maps.reserve(ctx_map.size()); + ctx_buf_maps.reserve(ml.ctx_map.size()); // Ensure we have enough capacity for the maximum backend buffer we will potentially create - const size_t n_max_backend_buffer = ctx_map.size() * ml.files.size(); + const size_t n_max_backend_buffer = ml.ctx_map.size() * ml.files.size(); pimpl->ctxs_bufs.reserve(n_max_backend_buffer); - for (auto & [buft, ctx_ptr] : ctx_map) { + for (auto & [buft, ctx_ptr] : ml.ctx_map) { ggml_context * ctx = ctx_ptr.get(); // skip contexts without tensors diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp index 24770430e1..c192e1ef02 100644 --- a/src/llama-quant.cpp +++ b/src/llama-quant.cpp @@ -556,7 +556,8 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: } std::vector splits = {}; - llama_model_loader ml(fname_inp, splits, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr); + llama_model_loader ml(/*metadata*/ nullptr, /*set_tensor_data*/ nullptr, /*set_tensor_data_ud*/ nullptr, + fname_inp, splits, use_mmap, /*use_direct_io*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr); ml.init_mappings(false); // no prefetching llama_model model(llama_model_default_params()); @@ -596,7 +597,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: } // copy the KV pairs from the input file - gguf_set_kv (ctx_out.get(), ml.meta.get()); + gguf_set_kv (ctx_out.get(), ml.metadata); gguf_set_val_u32(ctx_out.get(), "general.quantization_version", GGML_QNT_VERSION); // TODO: use LLM_KV gguf_set_val_u32(ctx_out.get(), "general.file_type", ftype); // TODO: use LLM_KV diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp index ce83361dc7..68ba292d42 100644 --- a/src/llama-vocab.cpp +++ b/src/llama-vocab.cpp @@ -1719,7 +1719,7 @@ private: }; void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) { - struct gguf_context * ctx = ml.meta.get(); + struct gguf_context * ctx = ml.metadata; // determine vocab type { diff --git a/src/llama.cpp b/src/llama.cpp index 6da90d6f1f..872e659edc 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -1,5 +1,6 @@ #include "llama.h" +#include "ggml-cpp.h" #include "llama-impl.h" #include "llama-chat.h" @@ -12,6 +13,7 @@ #include "ggml.h" #include "ggml-backend.h" +#include "gguf.h" #include #include @@ -825,7 +827,8 @@ int64_t llama_time_us(void) { } // Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback -static int llama_model_load(const std::string & fname, std::vector & splits, llama_model & model, llama_model_params & params) { +static int llama_model_load(struct gguf_context * metadata, llama_model_set_tensor_data_t set_tensor_data, void * set_tensor_data_ud, + const std::string & fname, std::vector & splits, llama_model & model, llama_model_params & params) { // loading time will be recalculated after the first eval, so // we take page faults deferred by mmap() into consideration model.t_load_us = 0; @@ -834,7 +837,8 @@ static int llama_model_load(const std::string & fname, std::vector model.t_start_us = tm.t_start_us; try { - llama_model_loader ml(fname, splits, params.use_mmap, params.use_direct_io, params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides); + llama_model_loader ml(metadata, set_tensor_data, set_tensor_data_ud, fname, splits, params.use_mmap, params.use_direct_io, + params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides); ml.print_info(); @@ -880,9 +884,13 @@ static int llama_model_load(const std::string & fname, std::vector } static struct llama_model * llama_model_load_from_file_impl( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, const std::string & path_model, std::vector & splits, struct llama_model_params params) { + GGML_ASSERT((metadata == nullptr) != path_model.empty() && "exactly one out of metadata and path_model needs to be defined"); ggml_time_init(); if (!params.vocab_only && ggml_backend_reg_count() == 0) { @@ -1003,7 +1011,7 @@ static struct llama_model * llama_model_load_from_file_impl( props.memory_free/1024/1024); } - const int status = llama_model_load(path_model, splits, *model, params); + const int status = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, *model, params); GGML_ASSERT(status <= 0); if (status < 0) { if (status == -1) { @@ -1019,6 +1027,18 @@ static struct llama_model * llama_model_load_from_file_impl( return model; } +struct llama_model * llama_model_init_from_user( + struct gguf_context * metadata, + llama_model_set_tensor_data_t set_tensor_data, + void * set_tensor_data_ud, + struct llama_model_params params) { + GGML_ASSERT(metadata != nullptr); + std::string path_model; + std::vector splits = {}; + params.use_mmap = false; + params.use_extra_bufts = false; + return llama_model_load_from_file_impl(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, params); +} // deprecated struct llama_model * llama_load_model_from_file( const char * path_model, @@ -1030,7 +1050,7 @@ struct llama_model * llama_model_load_from_file( const char * path_model, struct llama_model_params params) { std::vector splits = {}; - return llama_model_load_from_file_impl(path_model, splits, params); + return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, path_model, splits, params); } struct llama_model * llama_model_load_from_splits( @@ -1046,11 +1066,11 @@ struct llama_model * llama_model_load_from_splits( for (size_t i = 0; i < n_paths; ++i) { splits.push_back(paths[i]); } - return llama_model_load_from_file_impl(splits.front(), splits, params); + return llama_model_load_from_file_impl(nullptr, nullptr, nullptr, splits.front(), splits, params); } void llama_model_save_to_file(const struct llama_model * model, const char * path_model) { - llama_model_saver ms(*model); + llama_model_saver ms(model); ms.add_kv_from_model(); ms.add_tensors_from_model(); ms.save(path_model); diff --git a/src/models/baichuan.cpp b/src/models/baichuan.cpp index c04b0c98b0..d5c6528531 100644 --- a/src/models/baichuan.cpp +++ b/src/models/baichuan.cpp @@ -56,6 +56,7 @@ llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_grap ); break; case LLM_TYPE_13B: + case LLM_TYPE_UNKNOWN: break; default: GGML_ABORT("fatal error"); diff --git a/src/models/bailingmoe2.cpp b/src/models/bailingmoe2.cpp index fbf7b210c4..a72a5a7cab 100644 --- a/src/models/bailingmoe2.cpp +++ b/src/models/bailingmoe2.cpp @@ -90,7 +90,7 @@ llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const ll model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/dots1.cpp b/src/models/dots1.cpp index 09c36f82fe..bcbd9af504 100644 --- a/src/models/dots1.cpp +++ b/src/models/dots1.cpp @@ -91,7 +91,7 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/exaone-moe.cpp b/src/models/exaone-moe.cpp index bef5b2ad35..efc31d6942 100644 --- a/src/models/exaone-moe.cpp +++ b/src/models/exaone-moe.cpp @@ -100,7 +100,7 @@ llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_ model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/glm4-moe.cpp b/src/models/glm4-moe.cpp index 003f70f739..d51cf07412 100644 --- a/src/models/glm4-moe.cpp +++ b/src/models/glm4-moe.cpp @@ -128,7 +128,7 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(routed_out, "ffn_moe_out", il); diff --git a/src/models/kimi-linear.cpp b/src/models/kimi-linear.cpp index 83d11241f8..d178ca8b7f 100644 --- a/src/models/kimi-linear.cpp +++ b/src/models/kimi-linear.cpp @@ -118,12 +118,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll ggml_build_forward_expand(gf, cur); - // Check layer type by checking which tensors exist - // KDA layers have ssm_a_log tensor, MLA layers have wkv_a_mqa tensor - bool is_kda = (layer.ssm_a != nullptr); - bool is_mla = (layer.wkv_a_mqa != nullptr); - - if (is_kda) { + if (hparams.is_recurrent(il)) { // === KDA Layer (Kimi Delta Attention) with Recurrent State === // Reference: vLLM kda.py const auto * mctx_cur = inp_rs->mctx; @@ -211,7 +206,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll cur = ggml_mul_mat(ctx0, layer.wo, gated); cb(cur, "kda_out", il); - } else if (is_mla) { + } else { // === MLA Layer (Multi-head Latent Attention) without KV Cache === // Reference: vLLM mla.py // Step 1: Q projection and reshape @@ -310,9 +305,6 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll cur = build_attn(inp_attn_kv, layer.wo, NULL, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale_mla, il); cb(cur, "mla_out", il); } - } else { - // Unknown layer type - this should not happen - GGML_ABORT("Kimi layer is neither KDA nor MLA - missing required tensors"); } // On last layer, select only the output tokens @@ -349,7 +341,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll hparams.n_expert, hparams.n_expert_used, LLM_FFN_SILU, true, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/mamba-base.cpp b/src/models/mamba-base.cpp index aaac9487df..8aedbef84e 100644 --- a/src/models/mamba-base.cpp +++ b/src/models/mamba-base.cpp @@ -30,6 +30,7 @@ ggml_tensor * llm_build_mamba_base::build_mamba_layer(llm_graph_input_rs * inp, GGML_ASSERT(n_seqs != 0); GGML_ASSERT(ubatch.equal_seqs()); GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs); + GGML_ASSERT(d_inner % n_head == 0); ggml_tensor * conv_states_all = mctx_cur->get_r_l(il); ggml_tensor * ssm_states_all = mctx_cur->get_s_l(il); @@ -154,6 +155,7 @@ ggml_tensor * llm_build_mamba_base::build_mamba2_layer(llm_graph_input_rs * inp, const auto kv_head = mctx_cur->get_head(); + const int64_t n_embd = hparams.n_embd; const int64_t d_conv = hparams.ssm_d_conv; const int64_t d_inner = hparams.ssm_d_inner; const int64_t d_state = hparams.ssm_d_state; @@ -167,6 +169,8 @@ ggml_tensor * llm_build_mamba_base::build_mamba2_layer(llm_graph_input_rs * inp, GGML_ASSERT(n_seqs != 0); GGML_ASSERT(ubatch.equal_seqs()); GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs); + GGML_ASSERT(d_inner % n_head == 0); + GGML_ASSERT(d_inner % (n_group*n_embd) == 0); ggml_tensor * conv_states_all = mctx_cur->get_r_l(il); ggml_tensor * ssm_states_all = mctx_cur->get_s_l(il); diff --git a/src/models/nemotron-h.cpp b/src/models/nemotron-h.cpp index d61d62a8c9..347f289488 100644 --- a/src/models/nemotron-h.cpp +++ b/src/models/nemotron-h.cpp @@ -124,7 +124,7 @@ ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const lla model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_RELU_SQR, hparams.expert_weights_norm, - true, hparams.expert_weights_scale, + hparams.expert_weights_scale, hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/plamo2.cpp b/src/models/plamo2.cpp index 3af236843b..276d3829b1 100644 --- a/src/models/plamo2.cpp +++ b/src/models/plamo2.cpp @@ -27,7 +27,7 @@ llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_pa cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il); // check if this layer is Mamba or Attention - bool is_mamba_layer = hparams.is_recurrent(il); + const bool is_mamba_layer = hparams.is_recurrent(il); if (is_mamba_layer) { // PLaMo-2 Mamba layer @@ -171,6 +171,8 @@ ggml_tensor * llm_build_plamo2::build_plamo2_mamba_layer(llm_graph_input_rs * in GGML_ASSERT(n_seqs != 0); GGML_ASSERT(ubatch.equal_seqs()); GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs); + GGML_ASSERT(d_inner % n_head == 0); + GGML_ASSERT(n_group == 0); ggml_tensor * conv_states_all = mctx_cur->get_r_l(il); ggml_tensor * ssm_states_all = mctx_cur->get_s_l(il); diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 46ab7a0cef..7fd895e2b6 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -185,6 +185,8 @@ if (NOT WIN32 OR NOT BUILD_SHARED_LIBS) #llama_test(test-tokenizer-1-spm NAME test-tokenizer-1-baichuan ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-baichuan.gguf) # llama_build_and_test(test-double-float.cpp) # SLOW + + llama_build_and_test(test-llama-archs.cpp) endif() llama_build_and_test(test-chat-peg-parser.cpp peg-parser/simple-tokenize.cpp) diff --git a/tests/test-llama-archs.cpp b/tests/test-llama-archs.cpp new file mode 100644 index 0000000000..014b3f2b14 --- /dev/null +++ b/tests/test-llama-archs.cpp @@ -0,0 +1,532 @@ +#include "common.h" +#include "log.h" +#include "ggml-backend.h" +#include "ggml.h" +#include "gguf.h" +#include "ggml-cpp.h" +#include "llama.h" +#include "llama-cpp.h" +#include "../src/llama-arch.h" +#include "../src/llama-model-saver.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +// normalized mean squared error = mse(a, b) / mse(a, 0) +static double nmse(const std::vector & a, const std::vector & b) { + GGML_ASSERT(a.size() == b.size()); + double mse_a_b = 0.0; + double mse_a_0 = 0.0; + + for (size_t i = 0; i < a.size(); i++) { + float a_i = a[i]; + float b_i = b[i]; + + mse_a_b += (a_i - b_i) * (a_i - b_i); + mse_a_0 += a_i * a_i; + } + + return mse_a_b / mse_a_0; +} + +static void set_tensor_data(struct ggml_tensor * tensor, void * userdata) { + std::hash hasher; + std::mt19937 gen(hasher(tensor->name) + *(const size_t *) userdata); + std::normal_distribution dis(0.0f, 1.0e-2f); + + const int64_t ne = ggml_nelements(tensor); + if (tensor->type == GGML_TYPE_F32) { + std::vector tmp(ne); + for (int64_t i = 0; i < ne; i++) { + tmp[i] = dis(gen); + } + ggml_backend_tensor_set(tensor, tmp.data(), 0, ggml_nbytes(tensor)); + } else if (tensor->type == GGML_TYPE_F16) { + std::vector tmp(ne); + for (int64_t i = 0; i < ne; i++) { + tmp[i] = ggml_fp32_to_fp16(dis(gen)); + } + ggml_backend_tensor_set(tensor, tmp.data(), 0, ggml_nbytes(tensor)); + } else { + GGML_ABORT("fatal error"); + } +} + +static void usage(char ** argv) { + printf("Usage: %s [-a/--arch arch] [-s/--seed seed] [-v/--verbose]\n", argv[0]); +} + +static std::vector get_tokens(const uint32_t n_tokens, const uint32_t n_vocab, const size_t seed){ + std::mt19937 gen(seed); + std::uniform_int_distribution<> dis(0, n_vocab - 1); + std::vector ret; + ret.reserve(n_tokens); + for (uint32_t i = 0; i < n_tokens; i++) { + ret.push_back(dis(gen)); + } + return ret; +} + +static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) { + gguf_context_ptr ret(gguf_init_empty()); + llama_model_saver ms(arch, ret.get()); + const uint32_t n_ctx = 128; + + uint32_t n_vocab = 128; + uint32_t n_embd = 256; + uint32_t n_head = 2; + uint32_t n_ff = 384; + uint32_t n_layer = 2; + if (arch == LLM_ARCH_LLAMA4) { + n_layer = 4; // hparams.n_no_rope_layer_step is hard-coded to 4 + } else if (arch == LLM_ARCH_GEMMA3N) { + n_embd = 64; + n_head = 1; + n_ff = 96; + } else if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_GLM_DSA || arch == LLM_ARCH_KIMI_LINEAR) { + n_embd = 128; + n_head = 1; + n_ff = 192; + } else if (arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE) { + n_layer = 3; + } else if (arch == LLM_ARCH_CHAMELEON) { + n_vocab = 10240; + } else if (arch == LLM_ARCH_GEMMA3N) { + n_layer = 22; // hparams.n_layer_kv_from_start = 20 is hardcoded + } + + const uint32_t n_embd_head = n_embd / n_head; + + ms.add_kv(LLM_KV_GENERAL_ARCHITECTURE, llm_arch_name(arch)); + ms.add_kv(LLM_KV_VOCAB_SIZE, n_vocab); + ms.add_kv(LLM_KV_CONTEXT_LENGTH, n_ctx); + ms.add_kv(LLM_KV_EMBEDDING_LENGTH, n_embd); + ms.add_kv(LLM_KV_FEATURES_LENGTH, n_embd); + ms.add_kv(LLM_KV_BLOCK_COUNT, n_layer); + ms.add_kv(LLM_KV_LEADING_DENSE_BLOCK_COUNT, uint32_t(1)); + + if (arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE) { + std::vector n_ff_per_layer; + n_ff_per_layer.reserve(n_layer); + for (uint32_t il = 0; il < n_layer; il++) { + n_ff_per_layer.push_back(il <= 1 ? 0 : n_ff); + } + ms.add_kv(LLM_KV_FEED_FORWARD_LENGTH, n_ff_per_layer); + } else { + ms.add_kv(LLM_KV_FEED_FORWARD_LENGTH, n_ff); + } + + ms.add_kv(LLM_KV_USE_PARALLEL_RESIDUAL, false); + ms.add_kv(LLM_KV_LOGIT_SCALE, 1.0f); + ms.add_kv(LLM_KV_TIME_MIX_EXTRA_DIM, uint32_t(64)); + ms.add_kv(LLM_KV_TIME_DECAY_EXTRA_DIM, uint32_t(128)); + ms.add_kv(LLM_KV_FULL_ATTENTION_INTERVAL, uint32_t(2)); + + if (arch == LLM_ARCH_PLAMO2 || arch == LLM_ARCH_JAMBA || arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE || + arch == LLM_ARCH_GRANITE_HYBRID || arch == LLM_ARCH_LFM2 || arch == LLM_ARCH_LFM2MOE || arch == LLM_ARCH_KIMI_LINEAR) { + GGML_ASSERT(n_layer >= 2); + std::vector n_head_per_layer; + n_head_per_layer.reserve(n_layer); + for (uint32_t il = 0; il < n_layer; il++) { + n_head_per_layer.push_back(il == 1 ? 0 : n_head); + } + ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT, n_head_per_layer); + ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV, n_head_per_layer); + } else { + ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT, n_head); + ms.add_kv(LLM_KV_ATTENTION_HEAD_COUNT_KV, n_head); + } + + ms.add_kv(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, 8.0f); + if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_GLM_DSA || arch == LLM_ARCH_KIMI_LINEAR) { + ms.add_kv(LLM_KV_ATTENTION_KEY_LENGTH, uint32_t(576)); + ms.add_kv(LLM_KV_ATTENTION_VALUE_LENGTH, uint32_t(512)); + ms.add_kv(LLM_KV_ROPE_DIMENSION_COUNT, uint32_t(64)); + ms.add_kv(LLM_KV_ATTENTION_KEY_LENGTH_MLA, uint32_t(192)); + ms.add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, uint32_t(128)); + } + ms.add_kv(LLM_KV_ATTENTION_CLAMP_KQV, 1.0f); + ms.add_kv(LLM_KV_ATTENTION_LAYERNORM_EPS, 1e-5f); + ms.add_kv(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, 1e-5f); + ms.add_kv(LLM_KV_ATTENTION_GROUPNORM_EPS, 1e-5f); + ms.add_kv(LLM_KV_ATTENTION_GROUPNORM_GROUPS, uint32_t(8)); + ms.add_kv(LLM_KV_ATTENTION_Q_LORA_RANK, uint32_t(512)); + ms.add_kv(LLM_KV_ATTENTION_KV_LORA_RANK, uint32_t(512)); + ms.add_kv(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, uint32_t(8)); + ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW, n_ctx/8); + + if (arch == LLM_ARCH_MIMO2 || arch == LLM_ARCH_STEP35) { + std::vector pattern; + pattern.reserve(n_layer); + for (uint32_t il = 0; il < n_layer; il++) { + pattern.push_back(il % 2); + } + ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, pattern); + } else { + ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, uint32_t(2)); + } + + ms.add_kv(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, uint32_t(1)); + ms.add_kv(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, uint32_t(64)); + ms.add_kv(LLM_KV_ATTENTION_INDEXER_TOP_K, uint32_t(8)); + ms.add_kv(LLM_KV_ROPE_DIMENSION_SECTIONS, std::vector({n_embd_head/4, n_embd_head/4, n_embd_head/4, n_embd_head/4})); + ms.add_kv(LLM_KV_TOKENIZER_MODEL, "no_vocab"); + // ms.add_kv(LLM_KV_DENSE_2_FEAT_OUT, n_embd); + // ms.add_kv(LLM_KV_DENSE_3_FEAT_IN, n_embd); + + if (moe) { + ms.add_kv(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, n_ff); + ms.add_kv(LLM_KV_INTERLEAVE_MOE_LAYER_STEP, uint32_t(2)); + ms.add_kv(LLM_KV_EXPERT_COUNT, uint32_t(2)); + ms.add_kv(LLM_KV_EXPERT_USED_COUNT, uint32_t(1)); + ms.add_kv(LLM_KV_EXPERT_SHARED_COUNT, uint32_t(1)); + ms.add_kv(LLM_KV_EXPERT_GATING_FUNC, uint32_t(2)); // sigmoid + ms.add_kv(LLM_KV_EXPERT_GROUP_SCALE, 1.0f); + ms.add_kv(LLM_KV_EXPERTS_PER_GROUP, uint32_t(1)); + } + + ms.add_kv(LLM_KV_POSNET_EMBEDDING_LENGTH, n_embd); + ms.add_kv(LLM_KV_POSNET_BLOCK_COUNT, n_layer); + ms.add_kv(LLM_KV_CONVNEXT_EMBEDDING_LENGTH, n_embd); + ms.add_kv(LLM_KV_CONVNEXT_BLOCK_COUNT, n_layer); + ms.add_kv(LLM_KV_XIELU_ALPHA_N, 1.0f); + ms.add_kv(LLM_KV_XIELU_ALPHA_P, 1.0f); + ms.add_kv(LLM_KV_XIELU_BETA, 1.0f); + ms.add_kv(LLM_KV_XIELU_EPS, 1.0e-7f); + ms.add_kv(LLM_KV_SSM_INNER_SIZE, arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE ? 64 : 2*n_embd); + ms.add_kv(LLM_KV_SSM_CONV_KERNEL, uint32_t(4)); + ms.add_kv(LLM_KV_SSM_STATE_SIZE, uint32_t(32)); + ms.add_kv(LLM_KV_SSM_TIME_STEP_RANK, n_head); + ms.add_kv(LLM_KV_SSM_GROUP_COUNT, arch == LLM_ARCH_PLAMO2 ? 0 : uint32_t(2)); + ms.add_kv(LLM_KV_KDA_HEAD_DIM, uint32_t(128)); + ms.add_kv(LLM_KV_WKV_HEAD_SIZE, n_embd/n_head); + ms.add_kv(LLM_KV_SHORTCONV_L_CACHE, uint32_t(3)); + + for (uint32_t il = 0; il < n_layer; il++) { + ggml_tensor t; + memset(&t, 0, sizeof(ggml_tensor)); + t.type = GGML_TYPE_F16; + ggml_format_name(&t, "conv%" PRIu32 "d.weight", il); + gguf_add_tensor(ms.gguf_ctx, &t); + ggml_format_name(&t, "posnet.%" PRIu32 ".conv1.weight", il); + gguf_add_tensor(ms.gguf_ctx, &t); + ggml_format_name(&t, "posnet.%" PRIu32 ".conv2.weight", il); + gguf_add_tensor(ms.gguf_ctx, &t); + ggml_format_name(&t, "convnext.%" PRIu32 ".dw.weight", il); + gguf_add_tensor(ms.gguf_ctx, &t); + } + return ret; +} + +static std::pair get_model_and_ctx( + struct gguf_context * gguf_ctx, const size_t seed, const std::vector & devs) { + llama_model_params model_params = llama_model_default_params(); + std::vector devs_copy = devs; + devs_copy.push_back(nullptr); + model_params.devices = devs_copy.data(); + + llama_context_params ctx_params = llama_context_default_params(); + ctx_params.n_ctx = 0; + ctx_params.n_threads = 4; + ctx_params.n_threads_batch = 4; + + size_t tmp = seed; + llama_model_ptr model(llama_model_init_from_user(gguf_ctx, set_tensor_data, &tmp, model_params)); + if (!model) { + throw std::runtime_error("failed to create llama model"); + } + llama_context_ptr lctx(llama_init_from_model(model.get(), ctx_params)); + if (!lctx) { + throw std::runtime_error("failed to create llama context"); + } + return std::make_pair(std::move(model), std::move(lctx)); +} + +static std::vector get_logits( + llama_model * model, llama_context * lctx, const std::vector & tokens, bool encode = false) { + const uint32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model)); + const uint32_t n_ctx = llama_n_ctx(lctx); + const uint32_t n_tokens = tokens.size(); + llama_batch batch = llama_batch_init(n_ctx, 0, 1); + GGML_ASSERT(n_tokens <= n_ctx); + for (uint32_t pos = 0; pos < n_tokens; pos++) { + common_batch_add(batch, tokens[pos], pos, {0}, true); + } + batch.n_tokens = n_tokens; + if (encode) { + if (llama_encode(lctx, batch)) { + llama_batch_free(batch); + throw std::runtime_error("failed to encode batch"); + } + } + if (llama_decode(lctx, batch)) { + llama_batch_free(batch); + throw std::runtime_error("failed to decode batch"); + } + + std::vector ret; + ret.reserve(n_tokens*n_vocab); + for (uint32_t i = 0; i < n_tokens; i++) { + const float * logits_ith = llama_get_logits_ith(lctx, i); + for (uint32_t j = 0; j < n_vocab; j++) { + ret.push_back(logits_ith[j]); + } + } + llama_batch_free(batch); + return ret; +} + +static bool moe_mandatory(const llm_arch arch) { + switch (arch) { + case LLM_ARCH_LLAMA4: + case LLM_ARCH_GROK: + case LLM_ARCH_QWEN2MOE: + case LLM_ARCH_QWEN3MOE: + case LLM_ARCH_QWEN3NEXT: + case LLM_ARCH_QWEN3VLMOE: + case LLM_ARCH_QWEN35MOE: + case LLM_ARCH_PHIMOE: + case LLM_ARCH_DBRX: + case LLM_ARCH_OLMOE: + case LLM_ARCH_ARCTIC: + case LLM_ARCH_DEEPSEEK: + case LLM_ARCH_DEEPSEEK2: + case LLM_ARCH_GLM4_MOE: + case LLM_ARCH_GLM_DSA: + case LLM_ARCH_EXAONE_MOE: + case LLM_ARCH_BAILINGMOE: + case LLM_ARCH_BAILINGMOE2: + case LLM_ARCH_DOTS1: + case LLM_ARCH_AFMOE: + case LLM_ARCH_ERNIE4_5: + case LLM_ARCH_ERNIE4_5_MOE: + case LLM_ARCH_HUNYUAN_MOE: + case LLM_ARCH_OPENAI_MOE: + case LLM_ARCH_LFM2MOE: + case LLM_ARCH_SMALLTHINKER: + case LLM_ARCH_LLADA_MOE: + case LLM_ARCH_GROVEMOE: + case LLM_ARCH_MINIMAX_M2: + case LLM_ARCH_RND1: + case LLM_ARCH_PADDLEOCR: + case LLM_ARCH_MIMO2: + case LLM_ARCH_KIMI_LINEAR: + case LLM_ARCH_STEP35: + return true; + default: + return false; + } +} + +static bool moe_implemented(const llm_arch arch) { + if (moe_mandatory(arch)) { + return true; + } + switch (arch) { + case LLM_ARCH_LLAMA: + case LLM_ARCH_REFACT: + case LLM_ARCH_MINICPM: + case LLM_ARCH_GRANITE: + case LLM_ARCH_GRANITE_MOE: + case LLM_ARCH_MISTRAL3: + case LLM_ARCH_LLAMA_EMBED: + return true; + default: + return false; + } +} + +static int save_models(const llm_arch target_arch, const size_t seed, const ggml_log_level log_level, const std::string & dir) { + GGML_ABORT("llama_model_save_to_file is broken"); + struct user_data_t { + struct { + ggml_log_callback callback; + void * user_data; + } original_logger; + ggml_log_level min_level; // prints below this log level go to debug log + }; + user_data_t ud; + llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data); + ud.min_level = log_level; + + llama_log_set([](ggml_log_level level, const char * text, void * user_data) { + const user_data_t * ud = (const user_data_t *) user_data; + const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG; + ud->original_logger.callback(level_eff, text, ud->original_logger.user_data); + }, &ud); + + for (const llm_arch & arch : llm_arch_all()) { + if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) { + continue; + } + if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) { + continue; // These models don't have usable implementations. + } + for (bool moe : {false, true}) { + if (moe && !moe_implemented(arch)) { + continue; + } + if (!moe && moe_mandatory(arch)) { + continue; + } + gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe); + auto model_and_ctx = get_model_and_ctx(gguf_ctx.get(), seed, {}); + const std::string path = dir + "/" + llm_arch_name(arch) + (moe ? "-moe.gguf" : "-dense.gguf"); + LOG_INF("%s: Saving %s model (%s) to %s...\n", __func__, llm_arch_name(arch), moe ? "MoE" : "dense", path.c_str()); + llama_model_save_to_file(model_and_ctx.first.get(), path.c_str()); + } + } + llama_log_set(ud.original_logger.callback, ud.original_logger.user_data); + return 0; +} + +static int test_backends(const llm_arch target_arch, const size_t seed, const ggml_log_level log_level) { + struct user_data_t { + struct { + ggml_log_callback callback; + void * user_data; + } original_logger; + ggml_log_level min_level; // prints below this log level go to debug log + }; + user_data_t ud; + llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data); + ud.min_level = log_level; + + llama_log_set([](ggml_log_level level, const char * text, void * user_data) { + const user_data_t * ud = (const user_data_t *) user_data; + const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG; + ud->original_logger.callback(level_eff, text, ud->original_logger.user_data); + }, &ud); + + const std::vector tokens = get_tokens(128, 128, seed); + + bool all_ok = true; + common_log_flush(common_log_main()); + printf("|%15s|%30s|%6s|%8s|%6s|\n", "Model arch.", "Device", "Config", "NMSE", "Status"); + printf("|---------------|------------------------------|------|--------|------|\n"); + for (const llm_arch & arch : llm_arch_all()) { + if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) { + continue; + } + if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) { + continue; // These models don't have usable implementations. + } + if (arch == LLM_ARCH_WAVTOKENIZER_DEC) { + continue; // FIXME CUDA backend crashes. + } + if (arch == LLM_ARCH_LLAMA_EMBED || arch == LLM_ARCH_GEMMA_EMBEDDING || arch == LLM_ARCH_T5ENCODER) { + continue; // FIXME Embedding (?) models produce inconsistent results. + } + if (arch == LLM_ARCH_RWKV6 || arch == LLM_ARCH_RWKV6QWEN2 || arch == LLM_ARCH_RWKV7 || arch == LLM_ARCH_ARWKV7) { + continue; // FIXME RWKV models hang indefinitely. + } + if (arch == LLM_ARCH_BERT || arch == LLM_ARCH_MODERN_BERT || arch == LLM_ARCH_NOMIC_BERT || arch == LLM_ARCH_NOMIC_BERT_MOE || + arch == LLM_ARCH_NEO_BERT || arch == LLM_ARCH_JINA_BERT_V2 || arch == LLM_ARCH_JINA_BERT_V3 || arch == LLM_ARCH_EUROBERT) { + continue; // TODO vocab + } + if (arch == LLM_ARCH_PLM) { + continue; // TODO tensor shapes + } + + // FIXME some models are segfaulting with WebGPU: +#ifdef GGML_USE_WEBGPU + if (arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE || arch == LLM_ARCH_KIMI_LINEAR) { + continue; + } +#endif // GGML_USE_WEBGPU + + const bool encode = arch == LLM_ARCH_T5; + for (bool moe : {false, true}) { + if (moe && !moe_implemented(arch)) { + continue; + } + if (!moe && moe_mandatory(arch)) { + continue; + } + gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe); + auto model_and_ctx_cpu = get_model_and_ctx(gguf_ctx.get(), seed, {}); + const std::vector logits_cpu = get_logits(model_and_ctx_cpu.first.get(), model_and_ctx_cpu.second.get(), tokens, encode); + for (size_t i = 0; i < ggml_backend_dev_count(); i++) { + ggml_backend_dev_t dev = ggml_backend_dev_get(i); + if (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) { + continue; + } + auto model_and_ctx_dev = get_model_and_ctx(gguf_ctx.get(), seed, {dev}); + const std::vector logits_dev = get_logits(model_and_ctx_dev.first.get(), model_and_ctx_dev.second.get(), tokens, encode); + const double nmse_val = nmse(logits_cpu, logits_dev); + const bool ok = nmse_val <= 1e-4; + all_ok = all_ok && ok; + char nmse_str[10]; + snprintf(nmse_str, sizeof(nmse_str), "%.2e", nmse_val); + printf("|%15s|%30s|%6s|%8s|%17s|\n", llm_arch_name(arch), ggml_backend_dev_description(dev), + moe ? "MoE" : "Dense", nmse_str, ok ? "\033[1;32mOK\033[0m" : "\033[1;31mFAIL\033[0m"); + } + } + } + llama_log_set(ud.original_logger.callback, ud.original_logger.user_data); + return all_ok ? 0 : 1; +} + +int main(int argc, char ** argv) { + // FIXME these tests are disabled in the CI for macOS-latest-cmake-arm64 because they are segfaulting + common_init(); + std::random_device rd; + + llm_arch arch = LLM_ARCH_UNKNOWN; + size_t seed = rd(); + ggml_log_level log_level = GGML_LOG_LEVEL_ERROR; + std::string out; + + for (int i = 1; i < argc; i++) { + if (strcmp(argv[i], "-a") == 0 || strcmp(argv[i], "--arch") == 0) { + if (i + 1 < argc) { + const std::string arch_name = argv[++i]; + arch = llm_arch_from_string(arch_name); + if (arch == LLM_ARCH_UNKNOWN) { + LOG_ERR("%s: unkown LLM architecture: %s\n", __func__, arch_name.c_str()); + return 1; + } + } else { + usage(argv); + return 1; + } + } + if (strcmp(argv[i], "-s") == 0 || strcmp(argv[i], "--seed") == 0) { + if (i + 1 < argc) { + seed = std::stoull(argv[++i]); + } else { + usage(argv); + return 1; + } + } + if (strcmp(argv[i], "-v") == 0 || strcmp(argv[i], "--verbose") == 0) { + log_level = GGML_LOG_LEVEL_INFO; + continue; + } + if (strcmp(argv[i], "-o") == 0 || strcmp(argv[i], "--out") == 0) { + if (i + 1 < argc) { + out = argv[++i]; + } else { + usage(argv); + return 1; + } + } + } + + try { + if (!out.empty()) { + return save_models(arch, seed, log_level, out); + } + return test_backends(arch, seed, log_level); + } catch (const std::exception & err) { + fprintf(stderr, "encountered runtime error: %s\n", err.what()); + return -1; + } +} diff --git a/tools/CMakeLists.txt b/tools/CMakeLists.txt index 7c63b3aae5..b433c91d85 100644 --- a/tools/CMakeLists.txt +++ b/tools/CMakeLists.txt @@ -38,4 +38,5 @@ else() add_subdirectory(export-lora) endif() add_subdirectory(fit-params) + add_subdirectory(results) endif() diff --git a/tools/results/CMakeLists.txt b/tools/results/CMakeLists.txt new file mode 100644 index 0000000000..2843b8488a --- /dev/null +++ b/tools/results/CMakeLists.txt @@ -0,0 +1,8 @@ +set(TARGET llama-results) +add_executable(${TARGET} results.cpp) +target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) +target_compile_features(${TARGET} PRIVATE cxx_std_17) + +if(LLAMA_TOOLS_INSTALL) + install(TARGETS ${TARGET} RUNTIME) +endif() diff --git a/tools/results/README.md b/tools/results/README.md new file mode 100644 index 0000000000..85acfcf899 --- /dev/null +++ b/tools/results/README.md @@ -0,0 +1,11 @@ +# Results + +The `llama-results` tool can be used to `--check` the outputs of a model vs. a previous commit to detect whether they have changed. +Example usage: + +``` sh +llama-results --model model.gguf --output results.gguf --prompt "People die when they are killed." # writes results to file +llama-results --model model.gguf --output results.gguf --prompt "People die when they are killed." --check # compares results vs file +``` + +The metric by which the results are compared is the normalized mean squared error (NMSE) with a tolerance of $10^{-6}$. diff --git a/tools/results/results.cpp b/tools/results/results.cpp new file mode 100644 index 0000000000..e5c5df128e --- /dev/null +++ b/tools/results/results.cpp @@ -0,0 +1,181 @@ +#include "ggml-cpp.h" +#include "ggml.h" +#include "gguf.h" +#include "llama.h" +#include "common.h" +#include "arg.h" +#include "log.h" + +#include +#include +#include + +// normalized mean squared error = mse(a, b) / mse(a, 0) +static double nmse(const std::vector & a, const std::vector & b) { + GGML_ASSERT(a.size() == b.size()); + double mse_a_b = 0.0; + double mse_a_0 = 0.0; + + for (size_t i = 0; i < a.size(); i++) { + float a_i = a[i]; + float b_i = b[i]; + + mse_a_b += (a_i - b_i) * (a_i - b_i); + mse_a_0 += a_i * a_i; + } + + return mse_a_b / mse_a_0; +} + +static std::vector get_logits( + llama_model * model, llama_context * lctx, const std::vector & tokens) { + const uint32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model)); + const uint32_t n_ctx = llama_n_ctx(lctx); + const uint32_t n_tokens = tokens.size(); + llama_batch batch = llama_batch_init(n_ctx, 0, 1); + GGML_ASSERT(n_tokens <= n_ctx); + for (uint32_t pos = 0; pos < n_tokens; pos++) { + common_batch_add(batch, tokens[pos], pos, {0}, true); + } + batch.n_tokens = n_tokens; + if (llama_decode(lctx, batch)) { + llama_batch_free(batch); + throw std::runtime_error("failed to decode batch"); + } + + std::vector ret; + ret.reserve(n_tokens*n_vocab); + for (uint32_t i = 0; i < n_tokens; i++) { + const float * logits_ith = llama_get_logits_ith(lctx, i); + for (uint32_t j = 0; j < n_vocab; j++) { + ret.push_back(logits_ith[j]); + } + } + llama_batch_free(batch); + return ret; +} + +int main(int argc, char ** argv) { + common_params params; + params.escape = false; + if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_RESULTS)) { + return 1; + } + if (params.out_file.empty()) { + LOG_ERR("%s: an output file must be specified", __func__); + return 1; + } + common_init(); + llama_backend_init(); + llama_numa_init(params.numa); + common_init_result_ptr llama_init = common_init_from_params(params); + struct llama_model * model = llama_init->model(); + struct llama_context * lctx = llama_init->context(); + if (model == nullptr) { + LOG_ERR("%s: unable to load model\n", __func__); + return 1; + } + const uint32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model)); + + const std::vector tokens_calc = common_tokenize(lctx, params.prompt, true); + const std::vector logits_calc = get_logits(model, lctx, tokens_calc); + GGML_ASSERT(logits_calc.size() == tokens_calc.size()*n_vocab); + + struct gguf_init_params gguf_params = { + /*.no_alloc =*/ true, + /*.ctx =*/ nullptr, + }; + gguf_context_ptr gguf_ctx_model(gguf_init_from_file(params.model.path.c_str(), gguf_params)); + + if (params.check) { + LOG_INF("%s: loading results from %s...\n", __func__, params.out_file.c_str()); + gguf_context_ptr gguf_ctx; + { + struct gguf_init_params gguf_params = { + /*no_alloc =*/ true, + /*ctx =*/ nullptr, + }; + gguf_ctx.reset(gguf_init_from_file(params.out_file.c_str(), gguf_params)); + } + const std::string path_model_disk = gguf_get_val_str(gguf_ctx.get(), gguf_find_key(gguf_ctx.get(), "path_model")); + GGML_ASSERT(path_model_disk == params.model.path); // TODO better checks + + auto load_tensor_data = [&](const std::string & name, void * dst, const size_t size){ + const int64_t tid = gguf_find_tensor(gguf_ctx.get(), name.c_str()); + const size_t offset = gguf_get_data_offset(gguf_ctx.get()) + gguf_get_tensor_offset(gguf_ctx.get(), tid); + GGML_ASSERT(size == gguf_get_tensor_size(gguf_ctx.get(), tid)); + + FILE * file = ggml_fopen(params.out_file.c_str(), "rb"); + if (file == nullptr) { + throw std::runtime_error("failed to open results file"); + } + if (fseek(file, offset, SEEK_SET) != 0) { + throw std::runtime_error("fseek failed"); + } + const size_t nbytes_read = fread(dst, 1, size, file); + if (nbytes_read != size) { + throw std::runtime_error("fread failed"); + } + }; + + std::vector tokens_disk(tokens_calc.size()); + load_tensor_data("tokens", tokens_disk.data(), tokens_disk.size()*sizeof(llama_token)); + GGML_ASSERT(tokens_disk.size() == tokens_calc.size()); + for (size_t i = 0; i < tokens_calc.size(); i++) { + GGML_ASSERT(tokens_disk[i] == tokens_calc[i]); + } + + std::vector logits_disk(logits_calc.size()); + load_tensor_data("logits", logits_disk.data(), logits_disk.size()*sizeof(float)); + const double nmse_val = nmse(logits_disk, logits_calc); + LOG_INF("%s: NMSE=%.3e\n", __func__, nmse_val); + + if (nmse_val > 1e-6) { + printf("\033[1;31mFAIL\033[0m\n"); + return 1; + } + + printf("\033[1;32mOK\033[0m\n"); + return 0; + } + + ggml_context_ptr ggml_ctx_calc; + { + const size_t size_tokens = tokens_calc.size()*sizeof(llama_token) + ggml_tensor_overhead(); + const size_t size_logits = logits_calc.size()*sizeof(float) + ggml_tensor_overhead(); + struct ggml_init_params params = { + /*.mem_size =*/ size_tokens + size_logits, + /*.mem_buffer =*/ nullptr, + /*.no_alloc =*/ false, + }; + ggml_ctx_calc.reset(ggml_init(params)); + } + + gguf_context_ptr gguf_ctx(gguf_init_empty()); + gguf_set_val_str(gguf_ctx.get(), "path_model", params.model.path.c_str()); + { + ggml_tensor * t_tokens = ggml_new_tensor_1d(ggml_ctx_calc.get(), GGML_TYPE_I32, tokens_calc.size()); + ggml_set_name(t_tokens, "tokens"); + int32_t * tokens_data = (int32_t *) t_tokens->data; + for (uint32_t i = 0; i < tokens_calc.size(); i++) { + tokens_data[i] = tokens_calc[i]; + } + gguf_add_tensor(gguf_ctx.get(), t_tokens); + } + { + ggml_tensor * t_logits = ggml_new_tensor_2d(ggml_ctx_calc.get(), GGML_TYPE_F32, tokens_calc.size(), n_vocab); + ggml_set_name(t_logits, "logits"); + float * logits_data = ggml_get_data_f32(t_logits); + for (uint32_t i = 0; i < tokens_calc.size(); i++) { + const float * logits_ith = llama_get_logits_ith(lctx, i); + for (uint32_t j = 0; j < n_vocab; j++) { + logits_data[i*n_vocab + j] = logits_ith[j]; + } + } + gguf_add_tensor(gguf_ctx.get(), t_logits); + } + LOG_INF("%s: writing results to %s...\n", __func__, params.out_file.c_str()); + gguf_write_to_file(gguf_ctx.get(), params.out_file.c_str(), /*only_meta =*/ false); + return 0; +} + From cd18a50ea573c081e7fa5604c85e4d571fd6ae4f Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Sun, 8 Mar 2026 06:33:48 -0500 Subject: [PATCH 15/37] vulkan: Fix data races in coopmat1 mul_mat(_id) (#20084) * vulkan: Fix data races in coopmat1 mul_mat(_id) Add barriers between coopmat store and regular loads. We sort of got away with this because it was the same subgroup accessing the values, but it's still a race and may not work. * switch to subgroup control barriers --- ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp index 79344d3300..23f3bd8d6d 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp @@ -377,6 +377,7 @@ void main() { [[unroll]] for (uint cm_col = 0; cm_col < cms_per_col; cm_col++) { coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor); + barrier(); [[unroll]] for (uint col = 0; col < TN; col += storestride) { const uint row_i = dc + cm_col * TN + col + store_c; if (row_i >= _ne1) break; @@ -387,6 +388,7 @@ void main() { data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]); } } + barrier(); } } #else @@ -404,18 +406,22 @@ void main() { // Full coopMat is within bounds, but stride_d is not aligned coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor); + controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease); [[unroll]] for (uint col = 0; col < TN; col += storestride) { data_d[offsets + (dc + cm_col * TN + col + store_c) * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]); } + controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease); } else if (dr + cm_row * TM < p.M && dc + cm_col * TN < p.N) { // Partial coopMat is within bounds coopMatStore(sums[cm_col * cms_per_row + cm_row], coopmat_stage, warp_i * TM * TN, TM, gl_CooperativeMatrixLayoutColumnMajor); + controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease); [[unroll]] for (uint col = 0; col < TN; col += storestride) { if (dr + cm_row * TM + store_r < p.M && dc + cm_col * TN + col + store_c < p.N) { data_d[offsets + (dc + cm_col * TN + col + store_c) * p.stride_d + dr + cm_row * TM + store_r] = D_TYPE(coopmat_stage[warp_i * TM * TN + (col + store_c) * TM + store_r]); } } + controlBarrier(gl_ScopeSubgroup, gl_ScopeSubgroup, gl_StorageSemanticsShared, gl_SemanticsAcquireRelease); } } } From d088d5b74f1d63b9a345d1515ab9e3bb3bc81a10 Mon Sep 17 00:00:00 2001 From: GiantPrince <90118823+GiantPrince@users.noreply.github.com> Date: Sun, 8 Mar 2026 07:38:17 -0400 Subject: [PATCH 16/37] ggml-vulkan: Add ELU op support (#20183) * ggml-Vulkan: add ELU support * ggml-Vulkan: remove extra spaces and variables * ggml-Vulkan: fix format issue * ggml-Vulkan: fix format issue * fix whitespace issue * Update Vulkan.csv and ops.md --- docs/ops.md | 14 +- docs/ops/Vulkan.csv | 9146 ++++------------- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 9 + ggml/src/ggml-vulkan/vulkan-shaders/elu.comp | 27 + .../vulkan-shaders/vulkan-shaders-gen.cpp | 2 + 5 files changed, 2044 insertions(+), 7154 deletions(-) create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/elu.comp diff --git a/docs/ops.md b/docs/ops.md index f3dceeee6b..cab0b37a77 100644 --- a/docs/ops.md +++ b/docs/ops.md @@ -37,11 +37,11 @@ Legend: | CROSS_ENTROPY_LOSS | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | CROSS_ENTROPY_LOSS_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | CUMSUM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | -| DIAG | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | +| DIAG | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | DIAG_MASK_INF | ❌ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | | DIV | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | DUP | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | -| ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | +| ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | EXP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | EXPM1 | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | | FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | @@ -54,7 +54,7 @@ Legend: | GELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | | GELU_ERF | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | | GELU_QUICK | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | -| GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | +| GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ | | GET_ROWS_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | GROUP_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | | HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | @@ -90,7 +90,7 @@ Legend: | RWKV_WKV6 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | -| SET | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | ❌ | +| SET | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ | | SET_ROWS | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | | SIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | @@ -100,7 +100,7 @@ Legend: | SOFTPLUS | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SOFT_MAX | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | SOFT_MAX_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ | -| SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | +| SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | SQR | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SQRT | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SSM_CONV | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | @@ -116,5 +116,5 @@ Legend: | TOP_K | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | TRI | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | TRUNC | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | -| UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | ❌ | -| XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | +| UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ | ❌ | +| XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | diff --git a/docs/ops/Vulkan.csv b/docs/ops/Vulkan.csv index d284fcb0f8..011dffcd8e 100644 --- a/docs/ops/Vulkan.csv +++ b/docs/ops/Vulkan.csv @@ -9,8 +9,8 @@ "Vulkan0","STEP","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","TANH","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","TANH","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" -"Vulkan0","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan" -"Vulkan0","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan" +"Vulkan0","ELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" +"Vulkan0","ELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","RELU","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","RELU","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","SIGMOID","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" @@ -93,8 +93,8 @@ "Vulkan0","STEP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","TANH","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","TANH","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" -"Vulkan0","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan" -"Vulkan0","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan" +"Vulkan0","ELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" +"Vulkan0","ELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","RELU","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","RELU","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","SIGMOID","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" @@ -394,10 +394,10 @@ "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Vulkan" "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Vulkan" "Vulkan0","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Vulkan" -"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","Vulkan" -"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","Vulkan" -"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","Vulkan" -"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","Vulkan" +"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","Vulkan" +"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","Vulkan" +"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","Vulkan" +"Vulkan0","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","Vulkan" "Vulkan0","GET_ROWS_BACK","type=f32,n=1,m=8,r=2,b=1,v=0","support","0","no","Vulkan" "Vulkan0","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=0","support","0","no","Vulkan" "Vulkan0","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=1","support","0","no","Vulkan" @@ -878,6 +878,54 @@ "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","Vulkan" "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","Vulkan" "Vulkan0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","Vulkan" +"Vulkan0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","Vulkan" @@ -965,6 +1013,7 @@ "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,1,2560],ne_kernel=[3,3,1,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan" "Vulkan0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan" +"Vulkan0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","Vulkan" "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan" "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan" "Vulkan0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","Vulkan" @@ -4964,6 +5013,7 @@ "Vulkan0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","Vulkan" "Vulkan0","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","1","yes","Vulkan" "Vulkan0","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","1","yes","Vulkan" +"Vulkan0","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","1","yes","Vulkan" "Vulkan0","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","1","yes","Vulkan" "Vulkan0","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","1","yes","Vulkan" "Vulkan0","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","Vulkan" @@ -5007,12 +5057,18 @@ "Vulkan0","DUP","type=f16,ne=[10,10,5,1],permute=[1,0,2,3]","support","1","yes","Vulkan" "Vulkan0","DUP","type=i16,ne=[10,8,3,1],permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","DUP","type=i16,ne=[10,8,3,1],permute=[1,2,0,3]","support","1","yes","Vulkan" -"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1","support","0","no","Vulkan" -"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2","support","0","no","Vulkan" -"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3","support","0","no","Vulkan" -"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1","support","0","no","Vulkan" -"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2","support","0","no","Vulkan" -"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3","support","0","no","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=f32,type_dst=f32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=2,inplace=1","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SET","type_src=i32,type_dst=i32,ne=[6,5,4,3],dim=3,inplace=1","support","1","yes","Vulkan" "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Vulkan" "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","Vulkan" "Vulkan0","CPY","type_src=f32,type_dst=f32,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","Vulkan" @@ -5458,230 +5514,366 @@ "Vulkan0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","Vulkan" "Vulkan0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","Vulkan" "Vulkan0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f16,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,8,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1,1],nr=[32,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,320,320],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" -"Vulkan0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1","support","1","yes","Vulkan" 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+"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[1,1,1,1],nr=[32,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[1,1,320,320],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[10,5,1,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[10,5,4,1],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f16,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f16,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan" 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+"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,1,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,1,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,1],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,1,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,1,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[1,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,3],nr=[2,2,2,2],nf=1,perm1=1","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,6],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[10,5,4,5],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,120,120],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,4,320],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,65536,1],nr=[256,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,16,16,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1280,16,16,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1280,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[16,16,1280,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,2560,1],nr=[16,16,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,1280,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,1920,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[1,1,640,1],nr=[32,32,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[5120,1,1,1],nr=[1,256,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[640,1,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","ADD","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" +"Vulkan0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","Vulkan" "Vulkan0","ADD1","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" "Vulkan0","ADD1","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","Vulkan" @@ -5694,45 +5886,103 @@ "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000","support","0","no","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","Vulkan" "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000000,v=1","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000","support","0","no","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000000","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000000,v=1","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001","support","1","yes","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001","support","0","no","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","Vulkan" "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000001,v=1","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001","support","0","no","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000001","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000001,v=1","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100","support","1","yes","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100","support","0","no","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","Vulkan" "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000100","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.000100,v=1","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100","support","0","no","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000100","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.000100,v=1","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000","support","1","yes","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","Vulkan" "Vulkan0","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000","support","0","no","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","Vulkan" "Vulkan0","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.100000","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3],eps=0.100000,v=1","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000","support","0","no","Vulkan" +"Vulkan0","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.100000","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=0","support","1","yes","Vulkan" +"Vulkan0","L2_NORM","type=f32,ne=[1025,5,4,3],eps=0.100000,v=1","support","1","yes","Vulkan" "Vulkan0","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=1","support","1","yes","Vulkan" -"Vulkan0","L2_NORM","type=f32,ne=[64,5,4,3]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" -"Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1024,1,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1024,4,1],ne_b=[3,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[6,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1536,1,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,1536,4,1],ne_b=[3,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[6,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[3,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,2048,1,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[66,2048,4,1],ne_b=[3,2048,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[8,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1024,1,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1024,4,1],ne_b=[4,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[8,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1536,1,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,1536,4,1],ne_b=[4,1536,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[8,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_CONV","type=f32,ne_a=[4,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,2048,1,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[67,2048,4,1],ne_b=[4,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[18,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1024,1,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1024,4,1],ne_b=[9,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[18,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1536,1,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,1536,4,1],ne_b=[9,1536,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[18,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" +"Vulkan0","SSM_CONV","type=f32,ne_a=[72,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","Vulkan" "Vulkan0","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","0","no","Vulkan" "Vulkan0","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Vulkan" "Vulkan0","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","Vulkan" @@ -6591,7 +6841,36 @@ "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=193,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=67,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=f32,type_b=f32,m=64,n=77,k=77,bs=[12,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=3,k=4,bs=[128,1024],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=2,n=1,k=3,bs=[131072,1],nr=[1,1],per=[0,1,2,3],k_v=64,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=576,n=512,k=576,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q4_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q5_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q5_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q8_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=mxfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q2_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q3_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q4_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q5_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q6_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq2_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq2_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq3_xxs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq1_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq1_m,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq3_s,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" +"Vulkan0","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","Vulkan" "Vulkan0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","Vulkan" @@ -8666,12 +8945,19 @@ "Vulkan0","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","Vulkan" "Vulkan0","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","Vulkan" "Vulkan0","SQR","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan" +"Vulkan0","SQR","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan" "Vulkan0","SQRT","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan" +"Vulkan0","SQRT","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan" "Vulkan0","LOG","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","LOG","type=f16,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SIN","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan" +"Vulkan0","SIN","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan" "Vulkan0","COS","type=f16,ne=[7,1,5,3]","support","0","no","Vulkan" +"Vulkan0","COS","type=f16,ne=[1024,1024,1,1]","support","0","no","Vulkan" "Vulkan0","CLAMP","type=f16,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","0","no","Vulkan" +"Vulkan0","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","0","no","Vulkan" "Vulkan0","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","Vulkan" +"Vulkan0","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","0","no","Vulkan" "Vulkan0","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan" "Vulkan0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","Vulkan" @@ -8692,12 +8978,19 @@ "Vulkan0","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","Vulkan" "Vulkan0","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","Vulkan" "Vulkan0","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","SQRT","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","LOG","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","LOG","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SIN","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","SIN","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","COS","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" +"Vulkan0","COS","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","CLAMP","type=f32,ne=[7,1,5,3],min=-0.500000,max=0.500000","support","1","yes","Vulkan" +"Vulkan0","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","Vulkan" "Vulkan0","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","Vulkan" +"Vulkan0","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","Vulkan" "Vulkan0","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" "Vulkan0","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","Vulkan" @@ -8916,6 +9209,11 @@ "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=0,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX","type=f32,ne=[32,2,32,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f32,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[200001,2,3,1],mask=1,sinks=1,m_prec=f16,nr23=[1,1],scale=0.100000,max_bias=8.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[200000,1,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[200000,4,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan" +"Vulkan0","SOFT_MAX","type=f32,ne=[643251,3,1,1],mask=0,sinks=0,m_prec=f32,nr23=[1,1],scale=1.000000,max_bias=0.000000,inplace=0","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan" "Vulkan0","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","1","yes","Vulkan" @@ -8968,6 +9266,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -8977,6 +9276,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -8987,11 +9287,13 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" @@ -9001,6 +9303,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" @@ -9011,11 +9314,13 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" @@ -9025,6 +9330,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" @@ -9035,11 +9341,13 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" @@ -9049,6 +9357,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" @@ -9059,6 +9368,7 @@ "Vulkan0","ROPE","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -9184,6 +9494,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -9193,6 +9504,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -9203,11 +9515,13 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" @@ -9217,6 +9531,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" @@ -9227,11 +9542,13 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" @@ -9241,6 +9558,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" @@ -9251,11 +9569,13 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,40,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,52,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,64,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,1,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,71,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,8,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" @@ -9265,6 +9585,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=20,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,2,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,32,4,1],n_dims=32,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,12,2,1],n_dims=20,mode=8,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" @@ -9275,6 +9596,7 @@ "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,28,2,1],n_dims=32,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[80,16,2,1],n_dims=80,mode=24,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[128,16,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" +"Vulkan0","ROPE_BACK","type=f32,ne_a=[16,16,8192,1],n_dims=16,mode=40,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f32,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.000000,ef=0.000000,af=1.000000,ff=0,v=0,inplace=0","support","1","yes","Vulkan" @@ -9397,25 +9719,65 @@ "Vulkan0","ROPE_BACK","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE_BACK","type=f16,ne_a=[64,128,2,1],n_dims=64,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=0","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f32,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=0,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=2,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=8,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=40,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=0,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=0,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" +"Vulkan0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","Vulkan" "Vulkan0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Vulkan" "Vulkan0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","Vulkan" "Vulkan0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","Vulkan" @@ -9542,357 +9904,369 @@ "Vulkan0","ARGSORT","type=f32,ne=[2048,2,1,3],order=1","support","1","yes","Vulkan" "Vulkan0","ARGSORT","type=f32,ne=[2049,2,1,3],order=1","support","1","yes","Vulkan" "Vulkan0","ARGSORT","type=f32,ne=[2,8,8192,1],order=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[12,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[13,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[13,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[4,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[15,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[8,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[19,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[16,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[27,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[32,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[43,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[64,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[75,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[128,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[139,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[256,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[267,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[512,1,1,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[523,1,2,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=7","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=15","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=100","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=500","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1024,1,1,1],k=1023","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[1035,1,2,1],k=1023","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=1","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=2","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2059,1,2,1],k=3","support","1","yes","Vulkan" -"Vulkan0","TOP_K","type=f32,ne=[2048,1,1,1],k=7","support","1","yes","Vulkan" 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+"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=3,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=3,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=7,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[16,10,10,10],k=15,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[60,10,10,10],k=15,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[1023,2,1,3],k=15,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[1024,2,1,3],k=15,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[1025,2,1,3],k=15,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[16384,1,1,1],k=15,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[2047,2,1,3],k=15,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[2048,2,1,3],k=15,ties=0","support","1","yes","Vulkan" +"Vulkan0","TOP_K","type=f32,ne=[2049,2,1,3],k=15,ties=0","support","1","yes","Vulkan" "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=0","support","1","yes","Vulkan" "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=nearest,transpose=1","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest,flags=none","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest,flags=none","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=nearest","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=nearest","support","1","yes","Vulkan" "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=0","support","1","yes","Vulkan" "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear,transpose=1","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear","support","1","yes","Vulkan" "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=0","support","1","yes","Vulkan" "Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bicubic,transpose=1","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=none","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic,flags=none","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=0","support","0","no","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=513,transpose=1","support","0","no","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=none","support","0","no","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear,flags=none","support","0","no","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic,flags=align_corners","support","1","yes","Vulkan" -"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic,flags=align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bicubic","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=0","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[512,512,3,2],scale_factor=2,mode=bilinear|antialias,transpose=1","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|antialias","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[5,7,11,13],ne_tgt=[2,5,7,11],mode=bilinear|antialias","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bilinear|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bilinear|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bilinear|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[2,5,7,11],ne_tgt=[5,7,11,13],mode=bicubic|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[1,4,3,2],ne_tgt=[2,8,3,2],mode=bicubic|align_corners","support","1","yes","Vulkan" +"Vulkan0","UPSCALE","type=f32,ne=[4,1,3,2],ne_tgt=[1,1,3,2],mode=bicubic|align_corners","support","1","yes","Vulkan" "Vulkan0","SUM","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" -"Vulkan0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","Vulkan" "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,3,2,1]","support","1","yes","Vulkan" "Vulkan0","SUM","type=f32,ne=[11,5,6,3],permute=[0,1,3,2]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[32,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[32,256,1,1]","support","1","yes","Vulkan" +"Vulkan0","MEAN","type=f32,ne=[32768,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","Vulkan" +"Vulkan0","SUM_ROWS","type=f32,ne=[10,5,4,3],permute=0,slice=0","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=0","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=0,slice=1","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[11,5,6,3],permute=1,slice=1","support","1","yes","Vulkan" -"Vulkan0","MEAN","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" -"Vulkan0","SUM","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan" +"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=0","support","1","yes","Vulkan" +"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=0,slice=1","support","1","yes","Vulkan" +"Vulkan0","SUM_ROWS","type=f32,ne=[16,5,6,3],permute=1,slice=1","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[33,1,1,1],permute=0,slice=0","support","1","yes","Vulkan" -"Vulkan0","MEAN","type=f32,ne=[33,1,1,1]","support","1","yes","Vulkan" -"Vulkan0","SUM","type=f32,ne=[33,1024,1,1]","support","1","yes","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[33,1024,1,1],permute=0,slice=0","support","1","yes","Vulkan" -"Vulkan0","SUM","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan" -"Vulkan0","SUM","type=f32,ne=[33,256,1,1],permute=[1,0,2,3]","support","0","no","Vulkan" "Vulkan0","SUM_ROWS","type=f32,ne=[33,256,1,1],permute=0,slice=0","support","1","yes","Vulkan" -"Vulkan0","MEAN","type=f32,ne=[33,256,1,1]","support","1","yes","Vulkan" -"Vulkan0","MEAN","type=f32,ne=[32769,1,1,1]","support","1","yes","Vulkan" "Vulkan0","GROUP_NORM","type=f32,ne=[64,64,320,1],num_groups=32,eps=0.000001","support","1","yes","Vulkan" "Vulkan0","GROUP_NORM","type=f32,ne=[9,9,1280,1],num_groups=32,eps=0.000001","support","1","yes","Vulkan" -"Vulkan0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1]","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,v=0","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,1,1],ne_b=[256,16,1,1],stride_dim=-1","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=-1","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=-1","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[256,16,2,3],stride_dim=1","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[128,16,2,3],stride_dim=2","support","1","yes","Vulkan" +"Vulkan0","ACC","type=f32,ne_a=[256,17,2,3],ne_b=[64,16,2,3],stride_dim=3","support","1","yes","Vulkan" +"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],pad_0=1,pad_1=1,circular=0","support","1","yes","Vulkan" +"Vulkan0","PAD","type=f32,ne_a=[33,17,2,1],pad_0=4,pad_1=3,circular=1","support","1","yes","Vulkan" +"Vulkan0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","1","yes","Vulkan" "Vulkan0","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","0","no","Vulkan" "Vulkan0","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","0","no","Vulkan" "Vulkan0","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","1","yes","Vulkan" @@ -9903,6 +10277,7 @@ "Vulkan0","CUMSUM","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[127,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[128,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","CUMSUM","type=f32,ne=[128,128,4,4]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[255,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[256,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[511,5,4,3]","support","1","yes","Vulkan" @@ -9913,7 +10288,8 @@ "Vulkan0","CUMSUM","type=f32,ne=[2048,5,4,3]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","Vulkan" "Vulkan0","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","Vulkan" -"Vulkan0","XIELU","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan" +"Vulkan0","CUMSUM","type=f32,ne=[20481,4,1,1]","support","1","yes","Vulkan" +"Vulkan0","XIELU","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","Vulkan" "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","Vulkan" "Vulkan0","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","Vulkan" @@ -9922,1137 +10298,269 @@ "Vulkan0","FILL","type=f32,ne=[303,207,11,3],c=2.000000","support","1","yes","Vulkan" "Vulkan0","FILL","type=f32,ne=[800,600,4,4],c=-152.000000","support","1","yes","Vulkan" "Vulkan0","FILL","type=f32,ne=[2048,512,2,2],c=3.500000","support","1","yes","Vulkan" +"Vulkan0","DIAG","type=f32,ne=[10,1,4,3]","support","1","yes","Vulkan" +"Vulkan0","DIAG","type=f32,ne=[79,1,19,13]","support","1","yes","Vulkan" +"Vulkan0","DIAG","type=f32,ne=[256,1,8,16]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[10,10,4,3],ne_rhs=[3,10,4,3]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[11,11,1,1],ne_rhs=[5,11,1,1]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[17,17,2,4],ne_rhs=[9,17,2,4]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[30,30,7,1],ne_rhs=[8,30,7,1]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[42,42,5,2],ne_rhs=[10,42,5,2]","support","1","yes","Vulkan" "Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[10,64,2,2]","support","1","yes","Vulkan" -"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[100,100,4,4],ne_rhs=[41,100,4,4]","support","0","no","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=0","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=0","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[512,512,1,1],lp0=0,rp0=1,lp1=0,rp1=1,lp2=0,rp2=0,lp3=0,rp3=0,v=1","support","1","yes","Vulkan" -"Vulkan0","PAD","type=f32,ne_a=[11,22,33,44],lp0=1,rp0=2,lp1=3,rp1=4,lp2=5,rp2=6,lp3=7,rp3=8,v=1","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[64,64,2,2],ne_rhs=[64,64,2,2]","support","1","yes","Vulkan" +"Vulkan0","SOLVE_TRI","type=f32,ne_lhs=[79,79,5,3],ne_rhs=[417,79,5,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11068,11 +10576,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11103,16 +10611,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11128,11 +10636,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11163,16 +10671,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11188,11 +10696,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11223,16 +10731,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11248,11 +10756,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11283,16 +10791,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11308,11 +10816,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11328,11 +10836,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11348,11 +10856,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11368,11 +10876,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11388,11 +10896,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11408,11 +10916,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11428,11 +10936,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11448,11 +10956,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11468,11 +10976,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11503,16 +11011,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11528,11 +11036,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11563,16 +11071,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11588,11 +11096,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11623,16 +11131,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11648,11 +11156,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -11683,16 +11191,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11708,11 +11216,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11728,11 +11236,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11748,11 +11256,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11768,11 +11276,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11788,11 +11296,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11808,11 +11316,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11828,11 +11336,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11848,11 +11356,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11868,11 +11376,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11888,11 +11396,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11908,11 +11416,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11928,11 +11436,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11948,11 +11456,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11968,11 +11476,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -11988,11 +11496,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12008,11 +11516,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12028,11 +11536,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12048,11 +11556,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12068,11 +11576,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12088,11 +11596,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12108,11 +11616,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12128,11 +11636,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12148,11 +11656,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12168,11 +11676,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12188,11 +11696,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -12223,16 +11731,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12248,11 +11756,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -12283,16 +11791,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12308,11 +11816,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12328,11 +11836,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12348,11 +11856,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12368,11 +11876,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12388,11 +11896,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -12423,16 +11931,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12448,11 +11956,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" @@ -12483,16 +11991,16 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12508,11 +12016,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12528,11 +12036,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12548,11 +12056,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12568,11 +12076,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12588,11 +12096,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12608,11 +12116,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12628,11 +12136,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12648,11 +12156,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12668,11 +12176,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12688,11 +12196,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12708,11 +12216,11 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" @@ -12728,6011 +12236,1355 @@ "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=10.000000,prec=def,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" 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-"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","Vulkan" -"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=35,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","Vulkan" +"Vulkan0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","Vulkan" "Vulkan0","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan" "Vulkan0","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","Vulkan" "Vulkan0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","Vulkan" diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 23d6d39e0e..0bf7d2e247 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -744,6 +744,7 @@ struct vk_device_struct { // [src/dst 0=fp32,1=fp16] vk_pipeline pipeline_exp[2]; + vk_pipeline pipeline_elu[2]; vk_pipeline pipeline_gelu[2]; vk_pipeline pipeline_gelu_erf[2]; vk_pipeline pipeline_gelu_quick[2]; @@ -4373,6 +4374,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); \ ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + CREATE_UNARY(elu) CREATE_UNARY(gelu) CREATE_UNARY(gelu_erf) CREATE_UNARY(gelu_quick) @@ -9241,6 +9243,8 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const switch (ggml_get_unary_op(dst)) { case GGML_UNARY_OP_EXP: return ctx->device->pipeline_exp[dst->type == GGML_TYPE_F16]; + case GGML_UNARY_OP_ELU: + return ctx->device->pipeline_elu[dst->type == GGML_TYPE_F16]; case GGML_UNARY_OP_SILU: return ctx->device->pipeline_silu[dst->type == GGML_TYPE_F16]; case GGML_UNARY_OP_GELU: @@ -12852,6 +12856,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr } switch (ggml_get_unary_op(node)) { + case GGML_UNARY_OP_ELU: case GGML_UNARY_OP_EXP: case GGML_UNARY_OP_SILU: case GGML_UNARY_OP_GELU: @@ -14951,6 +14956,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_OP_UNARY: switch (ggml_get_unary_op(op)) { case GGML_UNARY_OP_EXP: + case GGML_UNARY_OP_ELU: case GGML_UNARY_OP_GELU: case GGML_UNARY_OP_GELU_ERF: case GGML_UNARY_OP_GELU_QUICK: @@ -16074,6 +16080,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph * case GGML_UNARY_OP_EXP: tensor_clone = ggml_exp(ggml_ctx, src_clone[0]); break; + case GGML_UNARY_OP_ELU: + tensor_clone = ggml_elu(ggml_ctx, src_clone[0]); + break; case GGML_UNARY_OP_SILU: tensor_clone = ggml_silu(ggml_ctx, src_clone[0]); break; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp b/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp new file mode 100644 index 0000000000..84dcbd8c88 --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/elu.comp @@ -0,0 +1,27 @@ +#version 450 + +#include "generic_head.glsl" +#include "types.glsl" + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + float x = float(data_a[i]); + + if (x < 0.0f) { + x = exp(x) - 1; + } + + data_d[i] = D_TYPE(x); +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp index 85455988c5..ed077dfb6c 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp @@ -867,6 +867,8 @@ void process_shaders() { string_to_spv("hardswish_f32", "hardswish.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); string_to_spv("abs_f16", "abs.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); string_to_spv("abs_f32", "abs.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); + string_to_spv("elu_f16", "elu.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); + string_to_spv("elu_f32", "elu.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); string_to_spv("xielu_f16", "xielu.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); string_to_spv("xielu_f32", "xielu.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); From 62b8143ad217fc7d3404119a9440be4a18ce31e0 Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Sun, 8 Mar 2026 17:14:43 +0100 Subject: [PATCH 17/37] Fix structured outputs (#20223) * Fix structured outputs * Update common/chat-auto-parser-generator.cpp Co-authored-by: Aldehir Rojas --------- Co-authored-by: Aldehir Rojas --- common/chat-auto-parser-generator.cpp | 22 ++++++++++++++-------- 1 file changed, 14 insertions(+), 8 deletions(-) diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp index 01787cc8dc..03dfb8f10f 100644 --- a/common/chat-auto-parser-generator.cpp +++ b/common/chat-auto-parser-generator.cpp @@ -1,6 +1,7 @@ #include "chat-auto-parser.h" #include "chat-peg-parser.h" #include "chat.h" +#include "common.h" #include "json-schema-to-grammar.h" #include "nlohmann/json.hpp" @@ -51,13 +52,15 @@ common_chat_params peg_generator::generate_parser(const common_chat_template & bool has_tools = autoparser.tools.format.mode != tool_format::NONE && inputs.tools.is_array() && !inputs.tools.empty(); std::string trigger_marker = !autoparser.tools.format.section_start.empty() ? autoparser.tools.format.section_start : - autoparser.tools.format.per_call_start; - bool include_grammar = - has_tools && ((inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO && !trigger_marker.empty()) || - inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED); + autoparser.tools.format.per_call_start; + + bool has_response_format = !inputs.json_schema.empty() && inputs.json_schema.is_object(); + bool include_grammar = has_response_format || (has_tools && + ((inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO && !trigger_marker.empty()) || + inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED)); if (include_grammar) { - data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; + data.grammar_lazy = !has_response_format && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; data.grammar = build_grammar([&](const common_grammar_builder & builder) { foreach_function(inputs.tools, [&](const json & tool) { const auto & function = tool.at("function"); @@ -68,7 +71,7 @@ common_chat_params peg_generator::generate_parser(const common_chat_template & }); // Set grammar triggers based on tool section markers (fall back to per-call markers) - if (data.grammar_lazy) { // only do triggers on lazy grammar + if (data.grammar_lazy) { data.grammar_triggers = { { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, trigger_marker } }; @@ -104,8 +107,11 @@ common_peg_arena autoparser::build_parser(const templates_params & inputs) const bool has_response_format = inputs.json_schema.is_object() && !inputs.json_schema.empty(); if (has_response_format) { - return ctx.reasoning_parser + p.space() + - p.content(p.schema(p.json(), "response-format", inputs.json_schema)) + p.end(); + auto response_format = p.rule("response-format", p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema))); + return ctx.reasoning_parser + p.space() + p.choice({ + p.literal("```json") + p.space() + response_format + p.space() + p.literal("```"), + response_format + }) + p.end(); } if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && jinja_caps.supports_tool_calls) { From 9b24886f78ce278b34186b47ed71a435f00d8d0d Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Sun, 8 Mar 2026 17:15:49 +0100 Subject: [PATCH 18/37] Fix compile bug (#20203) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Fix compile bug * Update common/chat-auto-parser-helpers.cpp Co-authored-by: Sigbjørn Skjæret --------- Co-authored-by: Sigbjørn Skjæret --- common/chat-auto-parser-helpers.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/common/chat-auto-parser-helpers.cpp b/common/chat-auto-parser-helpers.cpp index 1519d8bc6c..787d7bab98 100644 --- a/common/chat-auto-parser-helpers.cpp +++ b/common/chat-auto-parser-helpers.cpp @@ -162,7 +162,7 @@ diff_split calculate_diff_split(const std::string & left, const std::string & ri right_fully_consumed = true; } - auto eat_segment = [](std::string & str, segment & seg) -> std::string { return str.append(seg.value); }; + auto eat_segment = [](std::string str, const segment & seg) -> std::string { return std::move(str) + seg.value; }; bool can_have_text_suffix = left_end->type == segment_type::TEXT && right_end->type == segment_type::TEXT; bool can_have_text_prefix = right_start->type == segment_type::TEXT && left_start->type == segment_type::TEXT; From 451ef08432d1f7d3d6071d4006cbbeda21dcfbec Mon Sep 17 00:00:00 2001 From: Aldehir Rojas Date: Sun, 8 Mar 2026 11:17:02 -0500 Subject: [PATCH 19/37] common : gracefully handle incomplete output (#20191) * common : handle incomplete UTF-8 at end of input in PEG parser * cont : if reached end prematurely, emit needs_more_input to propagate partial output * cont: refactor peg parse context to add lenient flag * cont : remove partial flag, keep lenient flag --- common/chat-peg-parser.cpp | 9 ++- common/chat-peg-parser.h | 8 +-- common/chat.cpp | 12 ++-- common/peg-parser.cpp | 75 +++++++++----------- common/peg-parser.h | 37 +++++++--- tests/peg-parser/test-basic.cpp | 54 +++++++------- tests/peg-parser/test-json-parser.cpp | 12 ++-- tests/peg-parser/test-python-dict-parser.cpp | 6 +- tests/peg-parser/test-unicode.cpp | 25 +++---- tests/test-chat-auto-parser.cpp | 8 +-- tests/test-chat-peg-parser.cpp | 18 ++--- 11 files changed, 139 insertions(+), 125 deletions(-) diff --git a/common/chat-peg-parser.cpp b/common/chat-peg-parser.cpp index ef9dec5935..3448c4f5be 100644 --- a/common/chat-peg-parser.cpp +++ b/common/chat-peg-parser.cpp @@ -167,8 +167,8 @@ void tag_based_peg_mapper::from_ast(const common_peg_ast_arena & arena, const co }); } -tagged_parse_result tagged_peg_parser::parse_and_extract(const std::string & input, bool is_partial) const { - common_peg_parse_context ctx(input, is_partial); +tagged_parse_result tagged_peg_parser::parse_and_extract(const std::string & input, common_peg_parse_flags extra_flags) const { + common_peg_parse_context ctx(input, flags | extra_flags); auto parse_result = arena.parse(ctx); tag_based_peg_mapper mapper; @@ -179,11 +179,10 @@ tagged_parse_result tagged_peg_parser::parse_and_extract(const std::string & inp tagged_parse_result tagged_peg_parser::parse_anywhere_and_extract(const std::string & input) const { if (input.empty()) { - return parse_and_extract(input, false); + return parse_and_extract(input); } for (size_t i = 0; i < input.size(); i++) { - common_peg_parse_context ctx(input, false); - ctx.debug = debug; + common_peg_parse_context ctx(input, flags); auto parse_result = arena.parse(ctx, i); if (parse_result.success() || i == input.size() - 1) { tag_based_peg_mapper mapper; diff --git a/common/chat-peg-parser.h b/common/chat-peg-parser.h index e130ceea5f..fe4c1b648f 100644 --- a/common/chat-peg-parser.h +++ b/common/chat-peg-parser.h @@ -155,19 +155,19 @@ struct tagged_parse_result { struct tagged_peg_parser { common_peg_arena arena; - bool debug = false; + common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE; tagged_peg_parser & withDebug() { - debug = true; + flags |= COMMON_PEG_PARSE_FLAG_DEBUG; return *this; } tagged_peg_parser & withoutDebug() { - debug = false; + flags = flags & ~COMMON_PEG_PARSE_FLAG_DEBUG; return *this; } - tagged_parse_result parse_and_extract(const std::string & input, bool is_partial = false) const; + tagged_parse_result parse_and_extract(const std::string & input, common_peg_parse_flags extra_flags = COMMON_PEG_PARSE_FLAG_NONE) const; tagged_parse_result parse_anywhere_and_extract(const std::string & input) const; }; diff --git a/common/chat.cpp b/common/chat.cpp index dff7879af0..d12802bd76 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -1527,8 +1527,12 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena & src_pars LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), input.c_str()); - common_peg_parse_context ctx(input, is_partial); - ctx.debug = params.debug; + common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_LENIENT; + if (params.debug) { + flags |= COMMON_PEG_PARSE_FLAG_DEBUG; + } + + common_peg_parse_context ctx(input, flags); auto result = parser.parse(ctx); if (result.fail()) { @@ -1541,7 +1545,7 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena & src_pars auto mapper = common_chat_peg_mapper(msg); mapper.from_ast(ctx.ast, result); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "\nAST for partial parse (fail):\n%s\n", ctx.ast.dump().c_str()); fflush(stderr); } @@ -1557,7 +1561,7 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena & src_pars auto mapper = common_chat_peg_mapper(msg); mapper.from_ast(ctx.ast, result); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "\nAST for %s parse:\n%s\n", is_partial ? "partial" : "full", ctx.ast.dump().c_str()); fflush(stderr); } diff --git a/common/peg-parser.cpp b/common/peg-parser.cpp index 48379f1ec8..81630b68a9 100644 --- a/common/peg-parser.cpp +++ b/common/peg-parser.cpp @@ -349,7 +349,7 @@ struct parser_executor { auto pos = start_pos; for (auto i = 0u; i < p.literal.size(); ++i) { if (pos >= ctx.input.size()) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -364,7 +364,7 @@ struct parser_executor { } common_peg_parse_result operator()(const common_peg_sequence_parser & p) { - if (ctx.debug) { + if (ctx.is_debug()) { LOG_DBG("%sSEQ start at %zu '%s' (%zu children)\n", debug_indent().c_str(), start_pos, debug_input_snippet(start_pos).c_str(), p.children.size()); } @@ -375,26 +375,19 @@ struct parser_executor { for (size_t i = 0; i < p.children.size(); i++) { const auto & child_id = p.children[i]; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ child %zu: %s\n", debug_indent().c_str(), i, arena.dump(child_id).c_str()); } auto result = arena.parse(child_id, ctx, pos); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ child %zu: %s at %zu->%zu\n", debug_indent().c_str(), i, common_peg_parse_result_type_name(result.type), result.start, result.end); } if (result.fail()) { ctx.parse_depth--; - if (ctx.is_partial && result.end >= ctx.input.size()) { - if (ctx.debug) { - fprintf(stderr, "%sSEQ -> NEED_MORE (child failed at end)\n", debug_indent().c_str()); - } - return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, - std::move(nodes)); - } - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ -> FAIL\n", debug_indent().c_str()); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, result.end); @@ -406,7 +399,7 @@ struct parser_executor { if (result.need_more_input()) { ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ -> NEED_MORE\n", debug_indent().c_str()); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, result.end, std::move(nodes)); @@ -416,14 +409,14 @@ struct parser_executor { } ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sSEQ -> SUCCESS at %zu->%zu\n", debug_indent().c_str(), start_pos, pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos, std::move(nodes)); } common_peg_parse_result operator()(const common_peg_choice_parser & p) { - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE start at %zu '%s' (%zu options)\n", debug_indent().c_str(), start_pos, debug_input_snippet(start_pos).c_str(), p.children.size()); } @@ -432,17 +425,17 @@ struct parser_executor { auto pos = start_pos; for (size_t i = 0; i < p.children.size(); i++) { const auto & child_id = p.children[i]; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE option %zu: %s\n", debug_indent().c_str(), i, arena.dump(child_id).c_str()); } auto result = arena.parse(child_id, ctx, pos); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE option %zu: %s\n", debug_indent().c_str(), i, common_peg_parse_result_type_name(result.type)); } if (!result.fail()) { ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE -> %s (option %zu)\n", debug_indent().c_str(), common_peg_parse_result_type_name(result.type), i); } @@ -451,14 +444,14 @@ struct parser_executor { } ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sCHOICE -> FAIL (no options matched)\n", debug_indent().c_str()); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } common_peg_parse_result operator()(const common_peg_repetition_parser & p) { - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT start at %zu '%s' (min=%d, max=%d)\n", debug_indent().c_str(), start_pos, debug_input_snippet(start_pos).c_str(), p.min_count, p.max_count); } @@ -471,7 +464,7 @@ struct parser_executor { // Try to match up to max_count times (or unlimited if max_count is -1) while (p.max_count == -1 || match_count < p.max_count) { if (pos >= ctx.input.size()) { - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT: at end of input, count=%d\n", debug_indent().c_str(), match_count); } break; @@ -479,7 +472,7 @@ struct parser_executor { auto result = arena.parse(p.child, ctx, pos); - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT iter %d: %s at %zu->%zu, nodes=%zu\n", debug_indent().c_str(), match_count, common_peg_parse_result_type_name(result.type), result.start, result.end, result.nodes.size()); fprintf(stderr, "%sREPEAT CHILD: %s\n", debug_indent().c_str(), arena.dump(p.child).c_str()); @@ -488,7 +481,7 @@ struct parser_executor { if (result.success()) { // Prevent infinite loop on empty matches if (result.end == pos) { - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%s REPEAT: empty match, stopping\n", debug_indent().c_str()); } break; @@ -509,7 +502,7 @@ struct parser_executor { } ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT -> NEED_MORE (count=%d, nodes=%zu)\n", debug_indent().c_str(), match_count, nodes.size()); } @@ -517,7 +510,7 @@ struct parser_executor { } // Child failed - stop trying - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT: child failed, stopping\n", debug_indent().c_str()); } break; @@ -526,14 +519,14 @@ struct parser_executor { // Check if we got enough matches if (p.min_count > 0 && match_count < p.min_count) { ctx.parse_depth--; - if (pos >= ctx.input.size() && ctx.is_partial) { - if (ctx.debug) { + if (pos >= ctx.input.size() && ctx.is_lenient()) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT -> NEED_MORE (not enough matches: %d < %d)\n", debug_indent().c_str(), match_count, p.min_count); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos, std::move(nodes)); } - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT -> FAIL (not enough matches: %d < %d)\n", debug_indent().c_str(), match_count, p.min_count); } @@ -541,7 +534,7 @@ struct parser_executor { } ctx.parse_depth--; - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sREPEAT -> SUCCESS (count=%d, nodes=%zu)\n", debug_indent().c_str(), match_count, nodes.size()); } @@ -576,7 +569,7 @@ struct parser_executor { auto result = common_parse_utf8_codepoint(ctx.input, start_pos); if (result.status == utf8_parse_result::INCOMPLETE) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos); @@ -615,7 +608,7 @@ struct parser_executor { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_SUCCESS, start_pos, pos); } // Not enough matches yet - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -656,7 +649,7 @@ struct parser_executor { // Check if we got enough matches if (match_count < p.min_count) { - if (pos >= ctx.input.size() && ctx.is_partial) { + if (pos >= ctx.input.size() && ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos); @@ -668,7 +661,7 @@ struct parser_executor { static common_peg_parse_result handle_escape_sequence(common_peg_parse_context & ctx, size_t start, size_t & pos) { ++pos; // consume '\' if (pos >= ctx.input.size()) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start, pos); @@ -698,7 +691,7 @@ struct parser_executor { ++pos; // consume 'u' for (int i = 0; i < 4; ++i) { if (pos >= ctx.input.size()) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start, pos); @@ -732,7 +725,7 @@ struct parser_executor { auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos); if (utf8_result.status == utf8_parse_result::INCOMPLETE) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -747,7 +740,7 @@ struct parser_executor { } // Reached end without finding closing quote - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -774,7 +767,7 @@ struct parser_executor { auto utf8_result = common_parse_utf8_codepoint(ctx.input, pos); if (utf8_result.status == utf8_parse_result::INCOMPLETE) { - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -789,7 +782,7 @@ struct parser_executor { } // Reached end without finding closing quote - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos, pos); } return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, pos); @@ -807,7 +800,7 @@ struct parser_executor { if (utf8_result.status == utf8_parse_result::INCOMPLETE) { // Incomplete UTF-8 sequence - if (!ctx.is_partial) { + if (!ctx.is_lenient()) { // Input is complete but UTF-8 is incomplete = malformed return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_FAIL, start_pos); } @@ -837,7 +830,7 @@ struct parser_executor { last_valid_pos = pos; } - if (last_valid_pos == ctx.input.size() && ctx.is_partial) { + if (last_valid_pos == ctx.input.size() && ctx.is_lenient()) { // Reached the end of a partial stream, there might still be more input that we need to consume. return common_peg_parse_result(COMMON_PEG_PARSE_RESULT_NEED_MORE_INPUT, start_pos, last_valid_pos); } @@ -876,7 +869,7 @@ struct parser_executor { common_peg_parse_result operator()(const common_peg_tag_parser & p) { // Parse the child - if (ctx.debug) { + if (ctx.is_debug()) { fprintf(stderr, "%sTAG: %s\n", debug_indent().c_str(), p.tag.c_str()); } auto result = arena.parse(p.child, ctx, start_pos); diff --git a/common/peg-parser.h b/common/peg-parser.h index 57d4bcd8ea..9f81df2e9a 100644 --- a/common/peg-parser.h +++ b/common/peg-parser.h @@ -139,22 +139,43 @@ struct common_peg_parse_result { bool success() const { return type == COMMON_PEG_PARSE_RESULT_SUCCESS; } }; +enum common_peg_parse_flags { + COMMON_PEG_PARSE_FLAG_NONE = 0, + COMMON_PEG_PARSE_FLAG_LENIENT = 1 << 0, + COMMON_PEG_PARSE_FLAG_DEBUG = 1 << 1, +}; + +inline common_peg_parse_flags operator|(common_peg_parse_flags a, common_peg_parse_flags b) { + return static_cast(int(a) | int(b)); +} + +inline common_peg_parse_flags & operator|=(common_peg_parse_flags & a, common_peg_parse_flags b) { + return a = a | b; +} + +inline common_peg_parse_flags operator&(common_peg_parse_flags a, common_peg_parse_flags b) { + return static_cast(int(a) & int(b)); +} + +inline common_peg_parse_flags operator~(common_peg_parse_flags a) { + return static_cast(~int(a)); +} + struct common_peg_parse_context { std::string input; - bool is_partial; - bool debug = false; // Enable debug output for parser tracing + common_peg_parse_flags flags; common_peg_ast_arena ast; int parse_depth; - common_peg_parse_context() - : is_partial(false), parse_depth(0) {} + common_peg_parse_context(common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE) + : flags(flags), parse_depth(0) {} - common_peg_parse_context(const std::string & input) - : input(input), is_partial(false), parse_depth(0) {} + common_peg_parse_context(const std::string & input, common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_NONE) + : input(input), flags(flags), parse_depth(0) {} - common_peg_parse_context(const std::string & input, bool is_partial) - : input(input), is_partial(is_partial), parse_depth(0) {} + bool is_lenient() const { return flags & COMMON_PEG_PARSE_FLAG_LENIENT; } + bool is_debug() const { return flags & COMMON_PEG_PARSE_FLAG_DEBUG; } }; class common_peg_arena; diff --git a/tests/peg-parser/test-basic.cpp b/tests/peg-parser/test-basic.cpp index 872f16a78d..b6af61491d 100644 --- a/tests/peg-parser/test-basic.cpp +++ b/tests/peg-parser/test-basic.cpp @@ -120,7 +120,7 @@ void test_basic(testing & t) { return p.literal("hello") + p.optional(p.literal(" world")); }); - auto ctx = common_peg_parse_context("hello", false); + auto ctx = common_peg_parse_context("hello"); auto result = parser.parse(ctx); t.assert_equal("optional_absent", true, result.success()); t.assert_equal("optional_absent_end", 5u, result.end); @@ -132,7 +132,7 @@ void test_basic(testing & t) { return p.literal("hello") + p.optional(p.literal(" world")); }); - auto ctx = common_peg_parse_context("hello ", true); + auto ctx = common_peg_parse_context("hello ", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("partial_match_need_more", true, result.need_more_input()); }); @@ -215,7 +215,7 @@ void test_basic(testing & t) { t.test("sequence_partial_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("") + p.literal(""); }); - auto ctx = common_peg_parse_context("") + p.literal(""); }); - auto ctx = common_peg_parse_context("") + p.literal(""); }); - auto ctx = common_peg_parse_context("I am common_chat_combinator_parser", true); + auto ctx = common_peg_parse_context("I am common_chat_combinator_parser", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("sequence_no_match", true, result.fail()); }); @@ -260,7 +260,7 @@ void test_basic(testing & t) { t.test("choices_partial_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("option1") | p.literal("option2"); }); - auto ctx = common_peg_parse_context("opt", true); + auto ctx = common_peg_parse_context("opt", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("choices_partial_match_1", true, result.need_more_input()); }); @@ -270,7 +270,7 @@ void test_basic(testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("choice_a") | p.literal("choice_b"); }); - auto ctx = common_peg_parse_context("choice", true); + auto ctx = common_peg_parse_context("choice", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("choices_partial_match_2", true, result.need_more_input()); }); @@ -279,7 +279,7 @@ void test_basic(testing & t) { t.test("choices_full_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("first") | p.literal("second"); }); - auto ctx = common_peg_parse_context("first", false); + auto ctx = common_peg_parse_context("first"); auto result = parser.parse(ctx); t.assert_equal("choices_full_match_1", true, result.success()); }); @@ -288,7 +288,7 @@ void test_basic(testing & t) { t.test("choices_full_match_2", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("alpha") | p.literal("beta"); }); - auto ctx = common_peg_parse_context("beta", false); + auto ctx = common_peg_parse_context("beta"); auto result = parser.parse(ctx); t.assert_equal("choices_full_match_2", true, result.success()); }); @@ -297,7 +297,7 @@ void test_basic(testing & t) { t.test("choices_no_match", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.literal("good") | p.literal("better"); }); - auto ctx = common_peg_parse_context("best", false); + auto ctx = common_peg_parse_context("best"); auto result = parser.parse(ctx); t.assert_equal("choices_no_match", true, result.fail()); }); @@ -306,7 +306,7 @@ void test_basic(testing & t) { t.test("zero_or_more_partial_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("ab")); }); - auto ctx = common_peg_parse_context("a", true); + auto ctx = common_peg_parse_context("a", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("zero_or_more_partial_match_1", true, result.need_more_input()); }); @@ -315,7 +315,7 @@ void test_basic(testing & t) { t.test("zero_or_more_partial_match_2", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("xy")); }); - auto ctx = common_peg_parse_context("xyx", true); + auto ctx = common_peg_parse_context("xyx", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("zero_or_more_partial_match_2", true, result.need_more_input()); }); @@ -324,7 +324,7 @@ void test_basic(testing & t) { t.test("zero_or_more_full_match", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.zero_or_more(p.literal("test")); }); - auto ctx = common_peg_parse_context("test", false); + auto ctx = common_peg_parse_context("test"); auto result = parser.parse(ctx); t.assert_equal("zero_or_more_full_match", true, result.success()); }); @@ -333,7 +333,7 @@ void test_basic(testing & t) { t.test("one_or_more_partial_match_1", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("repeat")); }); - auto ctx = common_peg_parse_context("rep", true); + auto ctx = common_peg_parse_context("rep", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("one_or_more_partial_match_1", true, result.need_more_input()); }); @@ -342,7 +342,7 @@ void test_basic(testing & t) { t.test("one_or_more_partial_match_2", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("ab")); }); - auto ctx = common_peg_parse_context("aba", true); + auto ctx = common_peg_parse_context("aba", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_equal("one_or_more_partial_match_2", true, result.need_more_input()); }); @@ -351,7 +351,7 @@ void test_basic(testing & t) { t.test("one_or_more_full_match", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("single")); }); - auto ctx = common_peg_parse_context("single", false); + auto ctx = common_peg_parse_context("single"); auto result = parser.parse(ctx); t.assert_equal("one_or_more_full_match", true, result.success()); }); @@ -360,7 +360,7 @@ void test_basic(testing & t) { t.test("one_or_more_no_match", [&](testing & t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.one_or_more(p.literal("()")); }); - auto ctx = common_peg_parse_context("success", false); + auto ctx = common_peg_parse_context("success"); auto result = parser.parse(ctx); t.assert_equal("one_or_more_no_match", true, result.fail()); }); @@ -376,7 +376,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("1", false); + common_peg_parse_context ctx("1"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_success", true, result.success()); @@ -390,7 +390,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[1]", false); + common_peg_parse_context ctx("[1]"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_success", true, result.success()); @@ -404,7 +404,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[[2]]", false); + common_peg_parse_context ctx("[[2]]"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_success", true, result.success()); @@ -418,7 +418,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[[[3]]]", false); + common_peg_parse_context ctx("[[[3]]]"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_success", true, result.success()); @@ -432,7 +432,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[[", true); + common_peg_parse_context ctx("[[", COMMON_PEG_PARSE_FLAG_LENIENT); auto result = value_parser.parse(ctx); t.assert_equal("result_is_need_more_input", true, result.need_more_input()); @@ -446,7 +446,7 @@ void test_basic(testing & t) { return p.rule("value", p.ref("number") | p.ref("list")); }); - common_peg_parse_context ctx("[a]", false); + common_peg_parse_context ctx("[a]"); auto result = value_parser.parse(ctx); t.assert_equal("result_is_fail", true, result.fail()); @@ -458,8 +458,8 @@ void test_basic(testing & t) { return p.marker(); }); - common_peg_parse_context ctx_square("[marker]", false); - common_peg_parse_context ctx_sharp("", false); + common_peg_parse_context ctx_square("[marker]"); + common_peg_parse_context ctx_sharp(""); auto result_square = bracket_parser.parse(ctx_square); auto result_sharp = bracket_parser.parse(ctx_sharp); diff --git a/tests/peg-parser/test-json-parser.cpp b/tests/peg-parser/test-json-parser.cpp index 48351cd66f..5dd00115ce 100644 --- a/tests/peg-parser/test-json-parser.cpp +++ b/tests/peg-parser/test-json-parser.cpp @@ -46,7 +46,7 @@ void test_json_parser(testing &t) { auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); }); std::string input = R"({"name": "test", "value": )"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = json.parse(ctx); @@ -58,7 +58,7 @@ void test_json_parser(testing &t) { auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); }); std::string input = R"([1, 2, 3, )"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = json.parse(ctx); @@ -70,7 +70,7 @@ void test_json_parser(testing &t) { auto json = build_peg_parser([](common_peg_parser_builder & p) { return p.json(); }); std::string input = R"({"data": {"nested": )"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = json.parse(ctx); @@ -84,7 +84,7 @@ void test_json_parser(testing &t) { t.test("success", [&](testing &t) { std::string input = R"("name": "bob")"; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -92,7 +92,7 @@ void test_json_parser(testing &t) { t.test("partial", [&](testing &t) { std::string input = R"("name": "bo)"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_true("need more input", result.need_more_input()); @@ -100,7 +100,7 @@ void test_json_parser(testing &t) { t.test("failed", [&](testing &t) { std::string input = R"([])"; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("fail", result.fail()); diff --git a/tests/peg-parser/test-python-dict-parser.cpp b/tests/peg-parser/test-python-dict-parser.cpp index d9946a4916..18e7d901b8 100644 --- a/tests/peg-parser/test-python-dict-parser.cpp +++ b/tests/peg-parser/test-python-dict-parser.cpp @@ -85,7 +85,7 @@ void test_python_dict_parser(testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); std::string input = "{'name': 'test', 'value': "; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); @@ -97,7 +97,7 @@ void test_python_dict_parser(testing &t) { auto parser = build_peg_parser([](common_peg_parser_builder & p) { return p.python_value(); }); std::string input = "{'name': 'test"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); @@ -229,7 +229,7 @@ void test_python_dict_parser(testing &t) { t.test("incomplete string", [&](testing &t) { std::string input = "'hello"; - common_peg_parse_context ctx(input, true); + common_peg_parse_context ctx(input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); t.assert_true("need_more_input", result.need_more_input()); diff --git a/tests/peg-parser/test-unicode.cpp b/tests/peg-parser/test-unicode.cpp index 19d9b9e41c..9cbdb0d387 100644 --- a/tests/peg-parser/test-unicode.cpp +++ b/tests/peg-parser/test-unicode.cpp @@ -58,7 +58,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); // Assert result type matches @@ -101,7 +101,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); // Assert result type matches @@ -142,7 +142,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); // Assert result type matches @@ -187,7 +187,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); // Assert result type matches @@ -225,7 +225,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -259,7 +259,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -293,7 +293,7 @@ void test_unicode(testing &t) { std::string test_name = "case " + std::to_string(i) + ": " + hex_dump(tc.input); t.test(test_name, [&](testing &t) { - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -330,7 +330,7 @@ void test_unicode(testing &t) { return p.sequence({p.json_string_content(), p.literal("\"")}); }); - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -367,7 +367,7 @@ void test_unicode(testing &t) { return p.json_string_content(); }); - common_peg_parse_context ctx(tc.input, true); + common_peg_parse_context ctx(tc.input, COMMON_PEG_PARSE_FLAG_LENIENT); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -390,9 +390,6 @@ void test_unicode(testing &t) { // Invalid continuation byte {std::string("\xC3\x28"), "", COMMON_PEG_PARSE_RESULT_FAIL}, - - // Overlong encoding (security issue) - {std::string("\xC0\x80"), "", COMMON_PEG_PARSE_RESULT_FAIL}, }; for (size_t i = 0; i < test_cases.size(); i++) { @@ -404,7 +401,7 @@ void test_unicode(testing &t) { return p.json_string_content(); }); - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); @@ -433,7 +430,7 @@ void test_unicode(testing &t) { return p.sequence({p.json_string_content(), p.literal("\"")}); }); - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); assert_result_equal(t, tc.expected_result, result.type); diff --git a/tests/test-chat-auto-parser.cpp b/tests/test-chat-auto-parser.cpp index f2364862c5..eaa57872a8 100644 --- a/tests/test-chat-auto-parser.cpp +++ b/tests/test-chat-auto-parser.cpp @@ -1478,7 +1478,7 @@ static void test_standard_json_tools_openai(testing & t) { R"({"id": "call_abc123", "function": {"name": "get_current_weather", "arguments": {"location": "NYC"}}})" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); if (!t.assert_true("parse success", result.success())) { @@ -1524,7 +1524,7 @@ static void test_standard_json_tools_cohere(testing & t) { R"({"tool_call_id": 0, "tool_name": "get_current_weather", "parameters": {"location": "NYC", "unit": "celsius"}})" "]<|END_ACTION|>"; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); if (!t.assert_true("parse success", result.success())) { @@ -1570,7 +1570,7 @@ static void test_standard_json_tools_function_key(testing & t) { R"({"get_current_weather": {"id": "call-0001", "args": {"location": "NYC", "unit": "celsius"}}})" "]"; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); if (!t.assert_true("parse success", result.success())) { @@ -1845,7 +1845,7 @@ static void test_tagged_args_with_embedded_quotes(testing & t) { "\n" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); if (!t.assert_true("parse success", result.success())) { diff --git a/tests/test-chat-peg-parser.cpp b/tests/test-chat-peg-parser.cpp index 7626ca12db..112de1d555 100644 --- a/tests/test-chat-peg-parser.cpp +++ b/tests/test-chat-peg-parser.cpp @@ -361,7 +361,7 @@ static void test_example_native(testing & t) { t.log(line); } - common_peg_parse_context ctx(tc.input, false); + common_peg_parse_context ctx(tc.input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -458,7 +458,7 @@ static void test_example_qwen3_coder(testing & t) { for (auto it = tokens.begin(); it != tokens.end(); it++) { std::string in = std::accumulate(tokens.begin(), it + 1, std::string()); - common_peg_parse_context ctx(in, it + 1 < tokens.end()); + common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE); auto result = parser.parse(ctx); if (!t.assert_equal("not fail", false, result.fail())) { @@ -523,7 +523,7 @@ static void test_example_qwen3_non_coder(testing & t) { "\"fahrenheit\"}}" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -556,7 +556,7 @@ static void test_example_qwen3_non_coder(testing & t) { for (auto it = tokens.begin(); it != tokens.end(); it++) { std::string in = std::accumulate(tokens.begin(), it + 1, std::string()); - common_peg_parse_context ctx(in, it + 1 < tokens.end()); + common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE); auto result = parser.parse(ctx); if (!t.assert_equal("not fail", false, result.fail())) { @@ -617,7 +617,7 @@ void test_command7_parser_compare(testing & t) { auto test_current = [&](const common_peg_arena & p, const std::string & input, bool is_partial, bool print_results) { - common_peg_parse_context ctx(input, is_partial); + common_peg_parse_context ctx(input, is_partial ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE); auto result = p.parse(ctx); common_chat_msg msg; @@ -780,7 +780,7 @@ static void test_prefix_tool_names(testing & t) { "" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -814,7 +814,7 @@ static void test_prefix_tool_names(testing & t) { for (auto it = tokens.begin(); it != tokens.end(); it++) { std::string in = std::accumulate(tokens.begin(), it + 1, std::string()); - common_peg_parse_context ctx(in, it + 1 < tokens.end()); + common_peg_parse_context ctx(in, (it + 1 < tokens.end()) ? COMMON_PEG_PARSE_FLAG_LENIENT : COMMON_PEG_PARSE_FLAG_NONE); auto result = parser.parse(ctx); if (!t.assert_equal("not fail", false, result.fail())) { @@ -864,7 +864,7 @@ static void test_prefix_tool_names(testing & t) { "" ""; - common_peg_parse_context ctx(input, false); + common_peg_parse_context ctx(input); auto result = parser.parse(ctx); t.assert_true("success", result.success()); @@ -931,7 +931,7 @@ static void test_tagged_peg_parser(testing & t) { return p.tag("prefix", p.until(":")) + ":" + p.tag("value", p.rest()) + p.end(); }); - auto result = parser.parse_and_extract("key:val", true); + auto result = parser.parse_and_extract("key:val", COMMON_PEG_PARSE_FLAG_LENIENT); t.assert_true("not fail", !result.result.fail()); t.assert_equal("prefix tag", "key", result.tags.at("prefix")); t.assert_equal("value tag", "val", result.tags.at("value")); From 35bee031e17ed2b2e8e7278b284a6c8cd120d9f8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Sun, 8 Mar 2026 18:58:28 +0100 Subject: [PATCH 20/37] graph : remove redundant scale_w parameter (#20235) --- src/llama-graph.cpp | 6 +----- src/llama-graph.h | 2 -- src/llama-model.cpp | 2 ++ src/models/afmoe.cpp | 1 - src/models/arctic.cpp | 3 +-- src/models/bailingmoe.cpp | 3 +-- src/models/bailingmoe2.cpp | 4 +--- src/models/bert.cpp | 16 +++++++++++----- src/models/dbrx.cpp | 3 +-- src/models/deepseek.cpp | 4 +--- src/models/deepseek2.cpp | 2 +- src/models/dots1.cpp | 4 +--- src/models/ernie4-5-moe.cpp | 4 +--- src/models/exaone-moe.cpp | 3 +-- src/models/glm4-moe.cpp | 2 +- src/models/granite-hybrid.cpp | 3 +-- src/models/granite.cpp | 3 +-- src/models/grok.cpp | 2 +- src/models/grovemoe.cpp | 6 ++---- src/models/hunyuan-moe.cpp | 3 +-- src/models/jamba.cpp | 2 +- src/models/kimi-linear.cpp | 3 +-- src/models/lfm2.cpp | 14 ++++++++++---- src/models/llada-moe.cpp | 2 +- src/models/llama-iswa.cpp | 2 +- src/models/llama.cpp | 2 +- src/models/mimo2-iswa.cpp | 16 +++++++++++----- src/models/minimax-m2.cpp | 3 +-- src/models/mistral3.cpp | 2 +- src/models/nemotron-h.cpp | 2 +- src/models/olmoe.cpp | 2 +- src/models/openai-moe-iswa.cpp | 2 +- src/models/phi3.cpp | 2 +- src/models/qwen2moe.cpp | 2 +- src/models/qwen35moe.cpp | 12 ++++++++---- src/models/qwen3moe.cpp | 2 +- src/models/qwen3next.cpp | 12 ++++++++---- src/models/qwen3vl-moe.cpp | 2 +- src/models/rnd1.cpp | 2 +- src/models/smallthinker.cpp | 2 +- src/models/step35-iswa.cpp | 7 ++----- 41 files changed, 85 insertions(+), 86 deletions(-) diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp index 99bd6796bc..f4cb7dce15 100644 --- a/src/llama-graph.cpp +++ b/src/llama-graph.cpp @@ -1151,7 +1151,6 @@ ggml_tensor * llm_graph_context::build_ffn( return cur; } -// TODO remove redundant scale_w argument ggml_tensor * llm_graph_context::build_moe_ffn( ggml_tensor * cur, ggml_tensor * gate_inp, @@ -1163,7 +1162,6 @@ ggml_tensor * llm_graph_context::build_moe_ffn( int64_t n_expert_used, llm_ffn_op_type type_op, bool norm_w, - bool scale_w, float w_scale, llama_expert_gating_func_type gating_op, int il, @@ -1180,7 +1178,6 @@ ggml_tensor * llm_graph_context::build_moe_ffn( n_expert_used, type_op, norm_w, - scale_w, w_scale, gating_op, il, @@ -1204,7 +1201,6 @@ ggml_tensor * llm_graph_context::build_moe_ffn( int64_t n_expert_used, llm_ffn_op_type type_op, bool norm_w, - bool scale_w, float w_scale, llama_expert_gating_func_type gating_op, int il, @@ -1332,7 +1328,7 @@ ggml_tensor * llm_graph_context::build_moe_ffn( weights = ggml_reshape_3d(ctx0, weights, 1, n_expert_used, n_tokens); } - if (scale_w) { + if (w_scale != 0.0f && w_scale != 1.0f) { weights = ggml_scale(ctx0, weights, w_scale); cb(weights, "ffn_moe_weights_scaled", il); } diff --git a/src/llama-graph.h b/src/llama-graph.h index e8f006977d..7f6c9e9635 100644 --- a/src/llama-graph.h +++ b/src/llama-graph.h @@ -810,7 +810,6 @@ struct llm_graph_context { int64_t n_expert_used, llm_ffn_op_type type_op, bool norm_w, - bool scale_w, float w_scale, llama_expert_gating_func_type gating_op, int il, @@ -832,7 +831,6 @@ struct llm_graph_context { int64_t n_expert_used, llm_ffn_op_type type_op, bool norm_w, - bool scale_w, float w_scale, llama_expert_gating_func_type gating_op, int il, diff --git a/src/llama-model.cpp b/src/llama-model.cpp index ef9c2dfc58..e18cca0524 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -1570,6 +1570,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); switch (hparams.n_ff_exp) { case 1408: type = LLM_TYPE_16B; break; @@ -2076,6 +2077,7 @@ void llama_model::load_hparams(llama_model_loader & ml) { ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT, hparams.n_layer_dense_lead, false); ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp); ml.get_key(LLM_KV_EXPERT_SHARED_COUNT, hparams.n_expert_shared); + ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE, hparams.expert_weights_scale, false); ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM, hparams.expert_weights_norm, false); switch (hparams.n_layer) { diff --git a/src/models/afmoe.cpp b/src/models/afmoe.cpp index 6a752a403f..11f5ea2c27 100644 --- a/src/models/afmoe.cpp +++ b/src/models/afmoe.cpp @@ -127,7 +127,6 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, // norm_w (route_norm=True) - hparams.expert_weights_scale, // scale_w hparams.expert_weights_scale, // w_scale (route_scale=2.826) (llama_expert_gating_func_type) hparams.expert_gating_func, il); diff --git a/src/models/arctic.cpp b/src/models/arctic.cpp index e8f028a723..d7db06de1d 100644 --- a/src/models/arctic.cpp +++ b/src/models/arctic.cpp @@ -1,6 +1,5 @@ #include "models.h" - llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v; @@ -104,7 +103,7 @@ llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_pa nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/bailingmoe.cpp b/src/models/bailingmoe.cpp index ed56b9c471..25e3369c31 100644 --- a/src/models/bailingmoe.cpp +++ b/src/models/bailingmoe.cpp @@ -1,6 +1,5 @@ #include "models.h" - llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { ggml_tensor * cur; ggml_tensor * inpL; @@ -97,7 +96,7 @@ llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_ nullptr, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - false, hparams.expert_weights_scale, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/bailingmoe2.cpp b/src/models/bailingmoe2.cpp index a72a5a7cab..81906cecb5 100644 --- a/src/models/bailingmoe2.cpp +++ b/src/models/bailingmoe2.cpp @@ -1,7 +1,5 @@ #include "models.h" - - llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v; @@ -90,7 +88,7 @@ llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const ll model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - hparams.expert_weights_scale, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/bert.cpp b/src/models/bert.cpp index bca0e254fc..17efdafec3 100644 --- a/src/models/bert.cpp +++ b/src/models/bert.cpp @@ -1,7 +1,5 @@ #include "models.h" - - llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v; const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); @@ -129,9 +127,17 @@ llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params // feed-forward network if (hparams.moe_every_n_layers > 0 && il % hparams.moe_every_n_layers == 1) { // MoE branch - cur = build_moe_ffn(cur, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, nullptr, - model.layers[il].ffn_down_exps, nullptr, hparams.n_expert, hparams.n_expert_used, - LLM_FFN_GELU, false, false, 0.0f, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); + cur = build_moe_ffn(cur, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + nullptr, + model.layers[il].ffn_down_exps, + nullptr, + hparams.n_expert, hparams.n_expert_used, + LLM_FFN_GELU, false, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, + il); cb(cur, "ffn_moe_out", il); } else if (model.arch == LLM_ARCH_BERT || model.arch == LLM_ARCH_NOMIC_BERT_MOE || model.arch == LLM_ARCH_JINA_BERT_V3) { diff --git a/src/models/dbrx.cpp b/src/models/dbrx.cpp index 6d2a0ebf1b..5c7f108437 100644 --- a/src/models/dbrx.cpp +++ b/src/models/dbrx.cpp @@ -1,6 +1,5 @@ #include "models.h" - llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v; const int64_t n_embd_gqa = hparams.n_embd_v_gqa(); @@ -89,7 +88,7 @@ llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/deepseek.cpp b/src/models/deepseek.cpp index 17866c0d88..57cb1724f2 100644 --- a/src/models/deepseek.cpp +++ b/src/models/deepseek.cpp @@ -1,7 +1,5 @@ #include "models.h" - - llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v; @@ -100,7 +98,7 @@ llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, hparams.expert_weights_scale, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/deepseek2.cpp b/src/models/deepseek2.cpp index be81709c50..abd54b7656 100644 --- a/src/models/deepseek2.cpp +++ b/src/models/deepseek2.cpp @@ -216,7 +216,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - hparams.expert_weights_scale, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il, nullptr, diff --git a/src/models/dots1.cpp b/src/models/dots1.cpp index bcbd9af504..0bcf3fe0de 100644 --- a/src/models/dots1.cpp +++ b/src/models/dots1.cpp @@ -1,7 +1,5 @@ #include "models.h" - - llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v; @@ -91,7 +89,7 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - hparams.expert_weights_scale, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/ernie4-5-moe.cpp b/src/models/ernie4-5-moe.cpp index 0d96d14e6f..ed781d5076 100644 --- a/src/models/ernie4-5-moe.cpp +++ b/src/models/ernie4-5-moe.cpp @@ -1,7 +1,5 @@ #include "models.h" - - llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v; @@ -103,7 +101,7 @@ llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/exaone-moe.cpp b/src/models/exaone-moe.cpp index efc31d6942..a7396829ca 100644 --- a/src/models/exaone-moe.cpp +++ b/src/models/exaone-moe.cpp @@ -1,6 +1,5 @@ #include "models.h" - llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_k; @@ -100,7 +99,7 @@ llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_ model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - hparams.expert_weights_scale, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/glm4-moe.cpp b/src/models/glm4-moe.cpp index d51cf07412..97a65f4116 100644 --- a/src/models/glm4-moe.cpp +++ b/src/models/glm4-moe.cpp @@ -128,7 +128,7 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, hparams.expert_weights_norm, - hparams.expert_weights_scale, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(routed_out, "ffn_moe_out", il); diff --git a/src/models/granite-hybrid.cpp b/src/models/granite-hybrid.cpp index 726ecdcca7..d9b1c06da8 100644 --- a/src/models/granite-hybrid.cpp +++ b/src/models/granite-hybrid.cpp @@ -1,6 +1,5 @@ #include "models.h" - llm_build_granite_hybrid::llm_build_granite_hybrid(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) { const int64_t n_embd_head = hparams.n_embd_head_v; @@ -160,7 +159,7 @@ ggml_tensor * llm_build_granite_hybrid::build_layer_ffn(ggml_tensor * cur, nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/granite.cpp b/src/models/granite.cpp index 18748e9c26..fd97116ed3 100644 --- a/src/models/granite.cpp +++ b/src/models/granite.cpp @@ -1,6 +1,5 @@ #include "models.h" - llm_build_granite::llm_build_granite( const llama_model & model, const llm_graph_params & params) @@ -175,7 +174,7 @@ ggml_tensor * llm_build_granite::build_layer_ffn( nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/grok.cpp b/src/models/grok.cpp index 3c54dfee63..24232604b3 100644 --- a/src/models/grok.cpp +++ b/src/models/grok.cpp @@ -99,7 +99,7 @@ llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params nullptr, n_expert, n_expert_used, LLM_FFN_GELU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/grovemoe.cpp b/src/models/grovemoe.cpp index 56b6db9a3d..2081f06856 100644 --- a/src/models/grovemoe.cpp +++ b/src/models/grovemoe.cpp @@ -1,7 +1,5 @@ #include "models.h" - - llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { const int64_t n_embd_head = hparams.n_embd_head_v; @@ -90,7 +88,7 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, probs); @@ -106,7 +104,7 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap nullptr, n_chunk_expert, n_expert_used > n_chunk_expert ? n_chunk_expert : n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, probs); diff --git a/src/models/hunyuan-moe.cpp b/src/models/hunyuan-moe.cpp index 77e39de5b8..cee2b541b7 100644 --- a/src/models/hunyuan-moe.cpp +++ b/src/models/hunyuan-moe.cpp @@ -119,8 +119,7 @@ llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const ll n_expert, n_expert_used, LLM_FFN_SILU, true, // norm_topk_prob - false, - 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur_moe, "ffn_moe_out", il); diff --git a/src/models/jamba.cpp b/src/models/jamba.cpp index ceab581740..1d482e425a 100644 --- a/src/models/jamba.cpp +++ b/src/models/jamba.cpp @@ -76,7 +76,7 @@ llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_para nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/kimi-linear.cpp b/src/models/kimi-linear.cpp index d178ca8b7f..8d4b95e519 100644 --- a/src/models/kimi-linear.cpp +++ b/src/models/kimi-linear.cpp @@ -1,5 +1,4 @@ #include "models.h" -#include "ggml.h" #include "llama-memory-recurrent.h" @@ -341,7 +340,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll hparams.n_expert, hparams.n_expert_used, LLM_FFN_SILU, true, - hparams.expert_weights_scale, hparams.expert_weights_scale, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/lfm2.cpp b/src/models/lfm2.cpp index cf01ad6255..8ca8e6c8e2 100644 --- a/src/models/lfm2.cpp +++ b/src/models/lfm2.cpp @@ -23,10 +23,16 @@ llm_build_lfm2::llm_build_lfm2(const llama_model & model, const llm_graph_ }; auto build_moe_feed_forward = [&model, this](ggml_tensor * cur, int il) -> ggml_tensor * { return build_moe_ffn(cur, - model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, - model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, false, 0.0, - static_cast(hparams.expert_gating_func), il); + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, + model.layers[il].ffn_exp_probs_b, + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + static_cast(hparams.expert_gating_func), + il); }; auto build_attn_block = [&model, this](ggml_tensor * cur, ggml_tensor * inp_pos, diff --git a/src/models/llada-moe.cpp b/src/models/llada-moe.cpp index 5f64686f5f..3bb9943f49 100644 --- a/src/models/llada-moe.cpp +++ b/src/models/llada-moe.cpp @@ -90,7 +90,7 @@ llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_gr nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/llama-iswa.cpp b/src/models/llama-iswa.cpp index 61dd2c179f..40dc2427a8 100644 --- a/src/models/llama-iswa.cpp +++ b/src/models/llama-iswa.cpp @@ -134,7 +134,7 @@ llm_build_llama_iswa::llm_build_llama_iswa(const llama_model & model, const llm_ nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, il); diff --git a/src/models/llama.cpp b/src/models/llama.cpp index 42b5fcdf42..279f2e301a 100644 --- a/src/models/llama.cpp +++ b/src/models/llama.cpp @@ -130,7 +130,7 @@ llm_build_llama::llm_build_llama(const llama_model & model, const llm_gra nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/mimo2-iswa.cpp b/src/models/mimo2-iswa.cpp index edc87cc9f0..06956915ea 100644 --- a/src/models/mimo2-iswa.cpp +++ b/src/models/mimo2-iswa.cpp @@ -1,4 +1,3 @@ - #include "models.h" llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { @@ -88,10 +87,17 @@ llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_ cb(cur, "ffn_out", il); } else { // MoE branch - cur = build_moe_ffn(cur, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, - model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, false, - 0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, il); + cur = build_moe_ffn(cur, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, + model.layers[il].ffn_exp_probs_b, + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, + il); cb(cur, "ffn_moe_out", il); } diff --git a/src/models/minimax-m2.cpp b/src/models/minimax-m2.cpp index f7001badf7..fbeed8eab9 100644 --- a/src/models/minimax-m2.cpp +++ b/src/models/minimax-m2.cpp @@ -1,4 +1,3 @@ - #include "models.h" llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) { @@ -91,7 +90,7 @@ llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_ model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/mistral3.cpp b/src/models/mistral3.cpp index 0b67223591..49734989df 100644 --- a/src/models/mistral3.cpp +++ b/src/models/mistral3.cpp @@ -127,7 +127,7 @@ llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/nemotron-h.cpp b/src/models/nemotron-h.cpp index 347f289488..fa2b55a284 100644 --- a/src/models/nemotron-h.cpp +++ b/src/models/nemotron-h.cpp @@ -124,7 +124,7 @@ ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const lla model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, LLM_FFN_RELU_SQR, hparams.expert_weights_norm, - hparams.expert_weights_scale, hparams.expert_weights_scale, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/olmoe.cpp b/src/models/olmoe.cpp index b8b6988f89..a05b892c70 100644 --- a/src/models/olmoe.cpp +++ b/src/models/olmoe.cpp @@ -92,7 +92,7 @@ llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_para nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/openai-moe-iswa.cpp b/src/models/openai-moe-iswa.cpp index dbe3ca1851..403f130bc4 100644 --- a/src/models/openai-moe-iswa.cpp +++ b/src/models/openai-moe-iswa.cpp @@ -95,7 +95,7 @@ llm_build_openai_moe_iswa::llm_build_openai_moe_iswa(const llama_model & model, nullptr, n_expert, n_expert_used, LLM_FFN_SWIGLU_OAI_MOE, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX_WEIGHT, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/phi3.cpp b/src/models/phi3.cpp index c8e5da33db..803e374aa5 100644 --- a/src/models/phi3.cpp +++ b/src/models/phi3.cpp @@ -114,7 +114,7 @@ llm_build_phi3::llm_build_phi3(const llama_model & model, const llm_graph_ nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(cur, "ffn_moe_out", il); diff --git a/src/models/qwen2moe.cpp b/src/models/qwen2moe.cpp index 49142b7123..e19061334c 100644 --- a/src/models/qwen2moe.cpp +++ b/src/models/qwen2moe.cpp @@ -94,7 +94,7 @@ llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, false, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/qwen35moe.cpp b/src/models/qwen35moe.cpp index 17291ec230..fe081af212 100644 --- a/src/models/qwen35moe.cpp +++ b/src/models/qwen35moe.cpp @@ -375,11 +375,15 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_ffn(ggml_tensor * cur, const int ggml_tensor * moe_out = build_moe_ffn(cur, - model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, nullptr, - n_expert, n_expert_used, LLM_FFN_SILU, - true, false, 0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, nullptr, model.layers[il].ffn_gate_up_exps); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/qwen3moe.cpp b/src/models/qwen3moe.cpp index 888534fb34..9cf1ec03c6 100644 --- a/src/models/qwen3moe.cpp +++ b/src/models/qwen3moe.cpp @@ -91,7 +91,7 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/qwen3next.cpp b/src/models/qwen3next.cpp index f2621200f2..9b8164ddfa 100644 --- a/src/models/qwen3next.cpp +++ b/src/models/qwen3next.cpp @@ -475,11 +475,15 @@ ggml_tensor * llm_build_qwen3next::build_layer_ffn(ggml_tensor * cur, const int // MoE branch ggml_tensor * moe_out = build_moe_ffn(cur, - model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, - model.layers[il].ffn_gate_exps, model.layers[il].ffn_down_exps, + model.layers[il].ffn_gate_inp, + model.layers[il].ffn_up_exps, + model.layers[il].ffn_gate_exps, + model.layers[il].ffn_down_exps, nullptr, - n_expert, n_expert_used, LLM_FFN_SILU, - true, false, 0.0, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, + n_expert, n_expert_used, + LLM_FFN_SILU, true, + hparams.expert_weights_scale, + LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il, nullptr, model.layers[il].ffn_gate_up_exps); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/qwen3vl-moe.cpp b/src/models/qwen3vl-moe.cpp index e5e1a2150c..f347c5d6fb 100644 --- a/src/models/qwen3vl-moe.cpp +++ b/src/models/qwen3vl-moe.cpp @@ -99,7 +99,7 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_ nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/rnd1.cpp b/src/models/rnd1.cpp index 46b3dc3efc..de9ab1c652 100644 --- a/src/models/rnd1.cpp +++ b/src/models/rnd1.cpp @@ -93,7 +93,7 @@ llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params nullptr, n_expert, n_expert_used, LLM_FFN_SILU, true, - false, 0.0, + hparams.expert_weights_scale, LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX, il); cb(moe_out, "ffn_moe_out", il); diff --git a/src/models/smallthinker.cpp b/src/models/smallthinker.cpp index 4c497ca76f..8723905e83 100644 --- a/src/models/smallthinker.cpp +++ b/src/models/smallthinker.cpp @@ -93,7 +93,7 @@ llm_build_smallthinker::llm_build_smallthinker(const llama_model & model, nullptr, n_expert, n_expert_used, LLM_FFN_RELU, true, - false, 0.0, + hparams.expert_weights_scale, static_cast(hparams.expert_gating_func), il, probs); diff --git a/src/models/step35-iswa.cpp b/src/models/step35-iswa.cpp index f8737815a6..aa8e98b737 100644 --- a/src/models/step35-iswa.cpp +++ b/src/models/step35-iswa.cpp @@ -119,9 +119,6 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll cb(cur, "ffn_out", il); } else { // MoE routed experts - const bool norm_w = hparams.expert_weights_norm; - const float w_scale = hparams.expert_weights_scale; - const bool scale_w = w_scale != 0.0f; ggml_tensor * moe_out = build_moe_ffn(cur, model.layers[il].ffn_gate_inp, model.layers[il].ffn_up_exps, @@ -129,8 +126,8 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll model.layers[il].ffn_down_exps, model.layers[il].ffn_exp_probs_b, n_expert, n_expert_used, - LLM_FFN_SILU, - norm_w, scale_w, w_scale, + LLM_FFN_SILU, hparams.expert_weights_norm, + hparams.expert_weights_scale, (llama_expert_gating_func_type) hparams.expert_gating_func, il); cb(moe_out, "ffn_moe_out", il); From d417bc43dd29eab006a0da73afc7d610c9ebae7d Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 8 Mar 2026 22:16:46 +0200 Subject: [PATCH 21/37] server : do not create checkpoints right after mtmd chunks (#20232) --- tools/server/server-context.cpp | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp index 9dbd6d798a..3790308d0e 100644 --- a/tools/server/server-context.cpp +++ b/tools/server/server-context.cpp @@ -2438,6 +2438,8 @@ private: slot.n_prompt_tokens_cache = 0; } + bool do_checkpoint = params_base.n_ctx_checkpoints > 0; + // check if we should process the image if (slot.prompt.n_tokens() < slot.task->n_tokens() && input_tokens[slot.prompt.n_tokens()] == LLAMA_TOKEN_NULL) { // process the image @@ -2457,6 +2459,8 @@ private: const auto & chunk = input_tokens.find_chunk(slot.prompt.n_tokens()); slot.prompt.tokens.push_back(chunk.get()); // copy } + + do_checkpoint = false; // do not checkpoint right after an image chunk } // If using an alora, there may be uncached tokens that come @@ -2473,8 +2477,6 @@ private: alora_disabled_id = enabled_loras[0]; } - bool do_checkpoint = params_base.n_ctx_checkpoints > 0; - // make checkpoints only for completion tasks do_checkpoint = do_checkpoint && slot.task->type == SERVER_TASK_TYPE_COMPLETION; From 97c64fbdbdf6662a0f31c97918fec7d480e1ecf5 Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Mon, 9 Mar 2026 01:11:22 +0100 Subject: [PATCH 22/37] PEG parser for LFM2 (#20251) * PEG parser for LFM2 * Simplify using python_value() --- common/chat-peg-parser.cpp | 68 ++++++++++++++++++++++ common/chat-peg-parser.h | 5 ++ common/chat.cpp | 84 +++++++++++++++++++++++++++ models/templates/LFM2-8B-A1B.jinja | 14 +---- models/templates/llama-cpp-lfm2.jinja | 37 ------------ tests/test-chat.cpp | 72 +++++++++++++++++++++++ 6 files changed, 231 insertions(+), 49 deletions(-) delete mode 100644 models/templates/llama-cpp-lfm2.jinja diff --git a/common/chat-peg-parser.cpp b/common/chat-peg-parser.cpp index 3448c4f5be..e055447e0a 100644 --- a/common/chat-peg-parser.cpp +++ b/common/chat-peg-parser.cpp @@ -476,6 +476,74 @@ common_peg_parser common_chat_peg_builder::standard_constructed_tools( return force_tool_calls ? section : optional(section); } +// Python-style tool calls: name(arg1="value1", arg2=123) +// Used only by LFM2 for now, so we don't merge it into autoparser +common_peg_parser common_chat_peg_builder::python_style_tool_calls( + const nlohmann::json & tools, + bool parallel_tool_calls) { + if (!tools.is_array() || tools.empty()) { + return eps(); + } + + auto tool_choices = choice(); + + for (const auto & tool_def : tools) { + if (!tool_def.contains("function")) { + continue; + } + const auto & function = tool_def.at("function"); + std::string name = function.at("name"); + nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object(); + + auto args = eps(); + if (params.contains("properties") && !params["properties"].empty()) { + auto arg_choice = choice(); + for (const auto & el : params["properties"].items()) { + const std::string & prop_name = el.key(); + const auto & prop_def = el.value(); + bool is_string_type = (prop_def.contains("type") && prop_def["type"] == "string"); + + auto arg_name_parser = literal(prop_name); + + common_peg_parser arg_value_parser = eps(); + auto string_value_parser = choice({ + literal("\"") + tool_arg_string_value(json_string_content()) + literal("\""), + literal("'") + tool_arg_string_value(json_string_content()) + literal("'") + }); + + if (is_string_type) { + arg_value_parser = string_value_parser; + } else { + arg_value_parser = tool_arg_value(python_value()); + } + + // Full argument: name="value" or name=value + auto arg_rule = tool_arg( + tool_arg_open(eps()) + + tool_arg_name(arg_name_parser) + + literal("=") + + arg_value_parser + + tool_arg_close(eps()) + ); + arg_choice |= arg_rule; + } + + args = arg_choice + zero_or_more("," + space() + arg_choice); + } + + auto tool_parser = tool(tool_open(tool_name(literal(name)) + literal("(")) + + space() + tool_args(args) + space() + tool_close(literal(")")) + ); + + tool_choices |= rule("tool-" + name, tool_parser); + } + + if (parallel_tool_calls) { + return "[" + space() + tool_choices + zero_or_more("," + space() + tool_choices) + space() + "]"; + } + return "[" + space() + tool_choices + space() + "]"; +} + // Helper: Parse dot notation key into prefix and field name static std::pair parse_key_spec(const std::string & key) { auto dot_pos = key.find('.'); diff --git a/common/chat-peg-parser.h b/common/chat-peg-parser.h index fe4c1b648f..5ea14be039 100644 --- a/common/chat-peg-parser.h +++ b/common/chat-peg-parser.h @@ -112,6 +112,11 @@ class common_chat_peg_builder : public common_peg_parser_builder { bool parallel_tool_calls, bool force_tool_calls); + // Helper for Python-style function call format: name(arg1="value1", arg2=123) + // Used by LFM2 and similar templates + common_peg_parser python_style_tool_calls(const nlohmann::json & tools, + bool parallel_tool_calls); + private: // Implementation helpers for standard_json_tools — one per JSON tool call layout mode common_peg_parser build_json_tools_function_is_key(const nlohmann::json & tools, diff --git a/common/chat.cpp b/common/chat.cpp index d12802bd76..29d2e5fd12 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -1274,6 +1274,82 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp return data; } +// LFM2 format: +// - Reasoning: {reasoning} (optional, only if enable_thinking is true) +// - Content: text after reasoning (optional) +// - Tool calls: <|tool_call_start|>[function_name(arg1="value1", arg2="value2")]<|tool_call_end|> +// Tool calls can appear multiple times (parallel tool calls) +static common_chat_params common_chat_params_init_lfm2(const common_chat_template & tmpl, + const autoparser::templates_params & inputs) { + common_chat_params data; + + data.prompt = common_chat_template_direct_apply(tmpl, inputs); + data.format = COMMON_CHAT_FORMAT_PEG_NATIVE; + data.supports_thinking = true; + data.preserved_tokens = { + "<|tool_list_start|>", + "<|tool_list_end|>", + "<|tool_call_start|>", + "<|tool_call_end|>", + "", + "", + }; + + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE; + auto include_grammar = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE; + + + const std::string TOOL_CALL_START = "<|tool_call_start|>"; + const std::string TOOL_CALL_END = "<|tool_call_end|>"; + const std::string THINK_START = ""; + const std::string THINK_END = ""; + auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) { + + auto end = p.end(); + + auto reasoning = p.eps(); + if (extract_reasoning && inputs.enable_thinking) { + reasoning = p.optional(THINK_START + p.reasoning(p.until(THINK_END)) + THINK_END); + } + + if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) { + return reasoning + p.content(p.rest()) + end; + } + + auto tool_calls = p.rule("tool-calls", + p.trigger_rule("tool-call", p.literal(TOOL_CALL_START) + + p.python_style_tool_calls(inputs.tools, inputs.parallel_tool_calls) + + p.literal(TOOL_CALL_END) + ) + ); + + auto content = p.content(p.until(TOOL_CALL_START)); + + return reasoning + content + tool_calls + end; + }); + + data.parser = parser.save(); + + if (include_grammar) { + data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO; + data.grammar = build_grammar([&](const common_grammar_builder & builder) { + foreach_function(inputs.tools, [&](const json & tool) { + const auto & function = tool.at("function"); + auto schema = function.at("parameters"); + builder.resolve_refs(schema); + }); + parser.build_grammar(builder, data.grammar_lazy); + }); + + data.grammar_triggers = { + { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, TOOL_CALL_START } + }; + } + + return data; +} + namespace workaround { // if first message is system and template does not support it, merge it with next message @@ -1422,6 +1498,14 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_ return common_chat_params_init_kimi_k2(tmpl, params); } + // LFM2 - uses <|tool_list_start|>/<|tool_list_end|> markers and <|tool_call_start|>[name(args)]<|tool_call_end|> format + // Detection: template has "<|tool_list_start|>" and "<|tool_list_end|>" markers + if (src.find("<|tool_list_start|>") != std::string::npos && + src.find("<|tool_list_end|>") != std::string::npos) { + LOG_DBG("Using specialized template: LFM2\n"); + return common_chat_params_init_lfm2(tmpl, params); + } + try { LOG_DBG("Using differential autoparser\n"); struct autoparser::autoparser autoparser; diff --git a/models/templates/LFM2-8B-A1B.jinja b/models/templates/LFM2-8B-A1B.jinja index 3738b3d145..fab22e952b 100644 --- a/models/templates/LFM2-8B-A1B.jinja +++ b/models/templates/LFM2-8B-A1B.jinja @@ -6,7 +6,7 @@ {%- set messages = messages[1:] -%} {%- endif -%} {%- if tools -%} - {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "You can use the following tools: <|tool_list_start|>[" -%} + {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%} {%- for tool in tools -%} {%- if tool is not string -%} {%- set tool = tool | tojson -%} @@ -17,7 +17,6 @@ {%- endif -%} {%- endfor -%} {%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%} - {{- '**IMPORTANT**: The syntax for calling the tools is: <|tool_call_start|>JSON tool call goes here<|tool_call_end|>. Please only call tools in the specified manner.' -}} {%- endif -%} {%- if ns.system_prompt -%} {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} @@ -30,18 +29,9 @@ {%- endif -%} {%- if message["role"] == "tool" -%} {%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%} - {%- elif message["role"] == "assistant" -%} - {%- if message.tool_calls %} - {%- for tool_call in message.tool_calls %} - {%- if tool_call.function %} - {%- set tool_call = tool_call.function %} - {%- endif %} - {{- '\n<|tool_call_start|>\n{"name": "' + tool_call.name + '", "arguments": ' + (tool_call.arguments if tool_call.arguments is string else tool_call.arguments | tojson) + '}\n<|tool_call_end|>\n' }} - {%- endfor %} - {%- endif %} {%- endif -%} {{- content + "<|im_end|>\n" -}} {%- endfor -%} {%- if add_generation_prompt -%} {{- "<|im_start|>assistant\n" -}} -{%- endif -%} +{%- endif -%} \ No newline at end of file diff --git a/models/templates/llama-cpp-lfm2.jinja b/models/templates/llama-cpp-lfm2.jinja deleted file mode 100644 index b7921120bc..0000000000 --- a/models/templates/llama-cpp-lfm2.jinja +++ /dev/null @@ -1,37 +0,0 @@ -{{- bos_token -}} -{%- set system_prompt = "" -%} -{%- set ns = namespace(system_prompt="") -%} -{%- if messages[0]["role"] == "system" -%} - {%- set ns.system_prompt = messages[0]["content"] -%} - {%- set messages = messages[1:] -%} -{%- endif -%} -{%- if tools -%} - {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%} - {%- for tool in tools -%} - {%- if tool is not string -%} - {%- set tool = tool | tojson -%} - {%- endif -%} - {%- set ns.system_prompt = ns.system_prompt + tool -%} - {%- if not loop.last -%} - {%- set ns.system_prompt = ns.system_prompt + ", " -%} - {%- endif -%} - {%- endfor -%} - {%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%} -{%- endif -%} -{%- if ns.system_prompt -%} - {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} -{%- endif -%} -{%- for message in messages -%} - {{- "<|im_start|>" + message["role"] + "\n" -}} - {%- set content = message["content"] -%} - {%- if content is not string -%} - {%- set content = content | tojson -%} - {%- endif -%} - {%- if message["role"] == "tool" -%} - {%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%} - {%- endif -%} - {{- content + "<|im_end|>\n" -}} -{%- endfor -%} -{%- if add_generation_prompt -%} - {{- "<|im_start|>assistant\n" -}} -{%- endif -%} diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index 7b44776713..2f83d7c0b1 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -2387,6 +2387,78 @@ static void test_template_output_peg_parsers(bool detailed_debug) { .run(); } + // LFM2-8B-A1B tests - uses <|tool_list_start|>/<|tool_list_end|> and <|tool_call_start|>[name(args)]<|tool_call_end|> + { + auto tst = peg_tester("models/templates/LFM2-8B-A1B.jinja", detailed_debug); + + // Basic content only + tst.test("Hello, world!\nWhat's up?").expect(message_assist).run(); + + // Single tool call without reasoning + tst.test("<|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>") + .tools({ special_function_tool }) + .expect(message_assist_call) + .run(); + + // Tool call with string argument + tst.test("<|tool_call_start|>[get_time(city=\"XYZCITY\")]<|tool_call_end|>") + .tools({ get_time_tool }) + .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}")) + .run(); + + // Tool call with reasoning (enable_thinking=true) + tst.test("I'm\nthinking<|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ special_function_tool }) + .expect(message_assist_call_thoughts) + .run(); + + // Multiple tool calls (parallel) + tst.test("<|tool_call_start|>[special_function(arg1=1), special_function_with_opt(arg1=1, arg2=2)]<|tool_call_end|>") + .parallel_tool_calls(true) + .tools({ + special_function_tool, special_function_tool_with_optional_param + }) + .expect_tool_calls({ + { "special_function", R"({"arg1": 1})", {} }, + { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} }, + }) + .run(); + + // Tool call with reasoning and content + tst.test("I need to call a function" + "Let me check the time.<|tool_call_start|>[get_time(city=\"Paris\")]<|tool_call_end|>") + .enable_thinking(true) + .reasoning_format(COMMON_REASONING_FORMAT_AUTO) + .tools({ get_time_tool }) + .expect(message_with_reasoning_content_and_multiple_tool_calls( + "I need to call a function", "Let me check the time.", { { "get_time", "{\"city\":\"Paris\"}" } } + )) + .run(); + + // Python tool with multiline code in string + tst.test("<|tool_call_start|>[python(code=\"def hello():\\n print('hey')\")]<|tool_call_end|>") + .tools({ python_tool }) + .expect_tool_calls({ + { "python", R"#({"code": "def hello():\\n print('hey')"})#", "" } + }) + .run(); + + // Partial tool call (streaming) + tst.test("<|tool_call_start|>[special_function(arg1=") + .tools({ special_function_tool }) + .is_partial(true) + .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": ")) + .run(); + + // Tool call with empty arguments + tst.test("<|tool_call_start|>[empty_args()]<|tool_call_end|>") + .tools({ empty_args_tool }) + .expect(simple_assist_msg("", "", "empty_args", "{}")) + .run(); + } + // Apertus-8B-Instruct tests - FUNC_NAME_AS_KEY format // Format: <|tools_prefix|>[{"function_name": {...arguments...}}]<|tools_suffix|> { From ae87863dc10f659a0094450655cccae96609dd33 Mon Sep 17 00:00:00 2001 From: Aaron Teo Date: Mon, 9 Mar 2026 09:05:44 +0800 Subject: [PATCH 23/37] llama-bench: introduce `-hf` and `-hff` flags & use `--mmap 1` by default (#20211) --- tools/llama-bench/llama-bench.cpp | 180 +++++++++++++++++++----------- 1 file changed, 116 insertions(+), 64 deletions(-) diff --git a/tools/llama-bench/llama-bench.cpp b/tools/llama-bench/llama-bench.cpp index 7a75026550..b0f1d6b936 100644 --- a/tools/llama-bench/llama-bench.cpp +++ b/tools/llama-bench/llama-bench.cpp @@ -20,6 +20,7 @@ #include #include "common.h" +#include "download.h" #include "ggml.h" #include "llama.h" @@ -312,6 +313,9 @@ static std::vector parse_int_range(const std::string & s) { struct cmd_params { std::vector model; + std::vector hf_repo; + std::vector hf_file; + std::string hf_token; std::vector n_prompt; std::vector n_gen; std::vector> n_pg; @@ -351,6 +355,9 @@ struct cmd_params { static const cmd_params cmd_params_defaults = { /* model */ { "models/7B/ggml-model-q4_0.gguf" }, + /* hf_repo */ {}, + /* hf_file */ {}, + /* hf_token */ "", /* n_prompt */ { 512 }, /* n_gen */ { 128 }, /* n_pg */ {}, @@ -372,7 +379,7 @@ static const cmd_params cmd_params_defaults = { /* devices */ { {} }, /* tensor_split */ { std::vector(llama_max_devices(), 0.0f) }, /* tensor_buft_overrides*/ { std::vector{ { nullptr, nullptr } } }, - /* use_mmap */ { false }, + /* use_mmap */ { true }, /* use_direct_io */ { false }, /* embeddings */ { false }, /* no_op_offload */ { false }, @@ -393,74 +400,57 @@ static void print_usage(int /* argc */, char ** argv) { printf("\n"); printf("options:\n"); printf(" -h, --help\n"); - printf(" --numa numa mode (default: disabled)\n"); - printf(" -r, --repetitions number of times to repeat each test (default: %d)\n", - cmd_params_defaults.reps); - printf(" --prio <-1|0|1|2|3> process/thread priority (default: %d)\n", - cmd_params_defaults.prio); - printf(" --delay <0...N> (seconds) delay between each test (default: %d)\n", - cmd_params_defaults.delay); - printf(" -o, --output output format printed to stdout (default: %s)\n", - output_format_str(cmd_params_defaults.output_format)); - printf(" -oe, --output-err output format printed to stderr (default: %s)\n", - output_format_str(cmd_params_defaults.output_format_stderr)); - printf(" --list-devices list available devices and exit\n"); - printf(" -v, --verbose verbose output\n"); - printf(" --progress print test progress indicators\n"); - printf(" --no-warmup skip warmup runs before benchmarking\n"); + printf(" --numa numa mode (default: disabled)\n"); + printf(" -r, --repetitions number of times to repeat each test (default: %d)\n", cmd_params_defaults.reps); + printf(" --prio <-1|0|1|2|3> process/thread priority (default: %d)\n", cmd_params_defaults.prio); + printf(" --delay <0...N> (seconds) delay between each test (default: %d)\n", cmd_params_defaults.delay); + printf(" -o, --output output format printed to stdout (default: %s)\n", output_format_str(cmd_params_defaults.output_format)); + printf(" -oe, --output-err output format printed to stderr (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr)); + printf(" --list-devices list available devices and exit\n"); + printf(" -v, --verbose verbose output\n"); + printf(" --progress print test progress indicators\n"); + printf(" --no-warmup skip warmup runs before benchmarking\n"); if (llama_supports_rpc()) { - printf(" -rpc, --rpc register RPC devices (comma separated)\n"); + printf(" -rpc, --rpc register RPC devices (comma separated)\n"); } printf("\n"); printf("test parameters:\n"); - printf(" -m, --model (default: %s)\n", join(cmd_params_defaults.model, ",").c_str()); - printf(" -p, --n-prompt (default: %s)\n", - join(cmd_params_defaults.n_prompt, ",").c_str()); - printf(" -n, --n-gen (default: %s)\n", join(cmd_params_defaults.n_gen, ",").c_str()); - printf(" -pg (default: %s)\n", - join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str()); - printf(" -d, --n-depth (default: %s)\n", - join(cmd_params_defaults.n_depth, ",").c_str()); - printf(" -b, --batch-size (default: %s)\n", - join(cmd_params_defaults.n_batch, ",").c_str()); - printf(" -ub, --ubatch-size (default: %s)\n", - join(cmd_params_defaults.n_ubatch, ",").c_str()); - printf(" -ctk, --cache-type-k (default: %s)\n", - join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str()); - printf(" -ctv, --cache-type-v (default: %s)\n", - join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str()); - printf(" -t, --threads (default: %s)\n", - join(cmd_params_defaults.n_threads, ",").c_str()); - printf(" -C, --cpu-mask (default: %s)\n", - join(cmd_params_defaults.cpu_mask, ",").c_str()); - printf(" --cpu-strict <0|1> (default: %s)\n", - join(cmd_params_defaults.cpu_strict, ",").c_str()); - printf(" --poll <0...100> (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str()); - printf(" -ngl, --n-gpu-layers (default: %s)\n", - join(cmd_params_defaults.n_gpu_layers, ",").c_str()); - printf(" -ncmoe, --n-cpu-moe (default: %s)\n", - join(cmd_params_defaults.n_cpu_moe, ",").c_str()); - printf(" -sm, --split-mode (default: %s)\n", - join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str()); - printf(" -mg, --main-gpu (default: %s)\n", - join(cmd_params_defaults.main_gpu, ",").c_str()); - printf(" -nkvo, --no-kv-offload <0|1> (default: %s)\n", - join(cmd_params_defaults.no_kv_offload, ",").c_str()); - printf(" -fa, --flash-attn <0|1> (default: %s)\n", - join(cmd_params_defaults.flash_attn, ",").c_str()); - printf(" -dev, --device (default: auto)\n"); - printf(" -mmp, --mmap <0|1> (default: %s)\n", - join(cmd_params_defaults.use_mmap, ",").c_str()); - printf(" -dio, --direct-io <0|1> (default: %s)\n", - join(cmd_params_defaults.use_direct_io, ",").c_str()); - printf(" -embd, --embeddings <0|1> (default: %s)\n", - join(cmd_params_defaults.embeddings, ",").c_str()); - printf(" -ts, --tensor-split (default: 0)\n"); + printf(" -m, --model (default: %s)\n", join(cmd_params_defaults.model, ",").c_str()); + printf(" -hf, -hfr, --hf-repo /[:quant] Hugging Face model repository; quant is optional, case-insensitive\n"); + printf(" default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.\n"); + printf(" example: unsloth/phi-4-GGUF:Q4_K_M\n"); + printf(" (default: unused)\n"); + printf(" -hff, --hf-file Hugging Face model file. If specified, it will override the quant in --hf-repo\n"); + printf(" (default: unused)\n"); + printf(" -hft, --hf-token Hugging Face access token\n"); + printf(" (default: value from HF_TOKEN environment variable)\n"); + printf(" -p, --n-prompt (default: %s)\n", join(cmd_params_defaults.n_prompt, ",").c_str()); + printf(" -n, --n-gen (default: %s)\n", join(cmd_params_defaults.n_gen, ",").c_str()); + printf(" -pg (default: %s)\n", join(transform_to_str(cmd_params_defaults.n_pg, pair_str), ",").c_str()); + printf(" -d, --n-depth (default: %s)\n", join(cmd_params_defaults.n_depth, ",").c_str()); + printf(" -b, --batch-size (default: %s)\n", join(cmd_params_defaults.n_batch, ",").c_str()); + printf(" -ub, --ubatch-size (default: %s)\n", join(cmd_params_defaults.n_ubatch, ",").c_str()); + printf(" -ctk, --cache-type-k (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_k, ggml_type_name), ",").c_str()); + printf(" -ctv, --cache-type-v (default: %s)\n", join(transform_to_str(cmd_params_defaults.type_v, ggml_type_name), ",").c_str()); + printf(" -t, --threads (default: %s)\n", join(cmd_params_defaults.n_threads, ",").c_str()); + printf(" -C, --cpu-mask (default: %s)\n", join(cmd_params_defaults.cpu_mask, ",").c_str()); + printf(" --cpu-strict <0|1> (default: %s)\n", join(cmd_params_defaults.cpu_strict, ",").c_str()); + printf(" --poll <0...100> (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str()); + printf(" -ngl, --n-gpu-layers (default: %s)\n", join(cmd_params_defaults.n_gpu_layers, ",").c_str()); + printf(" -ncmoe, --n-cpu-moe (default: %s)\n", join(cmd_params_defaults.n_cpu_moe, ",").c_str()); + printf(" -sm, --split-mode (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str()); + printf(" -mg, --main-gpu (default: %s)\n", join(cmd_params_defaults.main_gpu, ",").c_str()); + printf(" -nkvo, --no-kv-offload <0|1> (default: %s)\n", join(cmd_params_defaults.no_kv_offload, ",").c_str()); + printf(" -fa, --flash-attn <0|1> (default: %s)\n", join(cmd_params_defaults.flash_attn, ",").c_str()); + printf(" -dev, --device (default: auto)\n"); + printf(" -mmp, --mmap <0|1> (default: %s)\n", join(cmd_params_defaults.use_mmap, ",").c_str()); + printf(" -dio, --direct-io <0|1> (default: %s)\n", join(cmd_params_defaults.use_direct_io, ",").c_str()); + printf(" -embd, --embeddings <0|1> (default: %s)\n", join(cmd_params_defaults.embeddings, ",").c_str()); + printf(" -ts, --tensor-split (default: 0)\n"); printf(" -ot --override-tensor =;...\n"); - printf(" (default: disabled)\n"); - printf(" -nopo, --no-op-offload <0|1> (default: 0)\n"); - printf(" --no-host <0|1> (default: %s)\n", - join(cmd_params_defaults.no_host, ",").c_str()); + printf(" (default: disabled)\n"); + printf(" -nopo, --no-op-offload <0|1> (default: 0)\n"); + printf(" --no-host <0|1> (default: %s)\n", join(cmd_params_defaults.no_host, ",").c_str()); printf("\n"); printf( "Multiple values can be given for each parameter by separating them with ','\n" @@ -514,6 +504,10 @@ static cmd_params parse_cmd_params(int argc, char ** argv) { params.progress = cmd_params_defaults.progress; params.no_warmup = cmd_params_defaults.no_warmup; + if (const char * env = getenv("HF_TOKEN")) { + params.hf_token = env; + } + for (int i = 1; i < argc; i++) { arg = argv[i]; if (arg.compare(0, arg_prefix.size(), arg_prefix) == 0) { @@ -531,6 +525,26 @@ static cmd_params parse_cmd_params(int argc, char ** argv) { } auto p = string_split(argv[i], split_delim); params.model.insert(params.model.end(), p.begin(), p.end()); + } else if (arg == "-hf" || arg == "-hfr" || arg == "--hf-repo") { + if (++i >= argc) { + invalid_param = true; + break; + } + auto p = string_split(argv[i], split_delim); + params.hf_repo.insert(params.hf_repo.end(), p.begin(), p.end()); + } else if (arg == "-hff" || arg == "--hf-file") { + if (++i >= argc) { + invalid_param = true; + break; + } + auto p = string_split(argv[i], split_delim); + params.hf_file.insert(params.hf_file.end(), p.begin(), p.end()); + } else if (arg == "-hft" || arg == "--hf-token") { + if (++i >= argc) { + invalid_param = true; + break; + } + params.hf_token = argv[i]; } else if (arg == "-p" || arg == "--n-prompt") { if (++i >= argc) { invalid_param = true; @@ -961,6 +975,44 @@ static cmd_params parse_cmd_params(int argc, char ** argv) { exit(1); } + if (!params.hf_repo.empty()) { + for (size_t i = 0; i < params.hf_repo.size(); i++) { + common_params_model model; + + // step 1: no `-hff` provided, we auto-detect based on the `-hf` flag + if (params.hf_file.empty() || params.hf_file[i].empty()) { + auto auto_detected = common_get_hf_file(params.hf_repo[i], params.hf_token, false); + if (auto_detected.repo.empty() || auto_detected.ggufFile.empty()) { + exit(1); + } + + model.name = params.hf_repo[i]; + model.hf_repo = auto_detected.repo; + model.hf_file = auto_detected.ggufFile; + } else { + model.hf_file = params.hf_file[i]; + } + + // step 2: construct the model cache path + std::string clean_fname = model.hf_repo + "_" + model.hf_file; + string_replace_all(clean_fname, "\\", "_"); + string_replace_all(clean_fname, "/", "_"); + model.path = fs_get_cache_file(clean_fname); + + // step 3: download the model if not exists + std::string model_endpoint = get_model_endpoint(); + model.url = model_endpoint + model.hf_repo + "/resolve/main/" + model.hf_file; + + bool ok = common_download_model(model, params.hf_token, false); + if (!ok) { + fprintf(stderr, "error: failed to download model from %s\n", model.url.c_str()); + exit(1); + } + + params.model.push_back(model.path); + } + } + // set defaults if (params.model.empty()) { params.model = cmd_params_defaults.model; From 5f4cdac3857ec3915c069caf3dec4f35af1691a1 Mon Sep 17 00:00:00 2001 From: Michael Huang <15768500+tehsiuhuang@users.noreply.github.com> Date: Sun, 8 Mar 2026 21:45:43 -0700 Subject: [PATCH 24/37] cuda : display total and free VRAM capacity during device initialization (#20185) --- ggml/src/ggml-cuda/ggml-cuda.cu | 30 +++++++++++++++++++++++------- 1 file changed, 23 insertions(+), 7 deletions(-) diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index a8007a0636..0fafaf0093 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -205,7 +205,14 @@ static ggml_cuda_device_info ggml_cuda_init() { GGML_ASSERT(info.device_count <= GGML_CUDA_MAX_DEVICES); int64_t total_vram = 0; - GGML_LOG_INFO("%s: found %d " GGML_CUDA_NAME " devices:\n", __func__, info.device_count); + for (int id = 0; id < info.device_count; ++id) { + cudaDeviceProp prop; + CUDA_CHECK(cudaGetDeviceProperties(&prop, id)); + total_vram += prop.totalGlobalMem; + } + GGML_LOG_INFO("%s: found %d " GGML_CUDA_NAME " devices (Total VRAM: %zu MiB):\n", + __func__, info.device_count, (size_t)(total_vram / (1024 * 1024))); + total_vram = 0; std::vector> turing_devices_without_mma; for (int id = 0; id < info.device_count; ++id) { @@ -243,6 +250,12 @@ static ggml_cuda_device_info ggml_cuda_init() { #else info.devices[id].supports_cooperative_launch = false; #endif // !(GGML_USE_MUSA) + + // cudaMemGetInfo returns info for the current device + size_t free_mem; + CUDA_CHECK(cudaSetDevice(id)); + CUDA_CHECK(cudaMemGetInfo(&free_mem, NULL)); + #if defined(GGML_USE_HIP) info.devices[id].smpbo = prop.sharedMemPerBlock; @@ -257,22 +270,25 @@ static ggml_cuda_device_info ggml_cuda_init() { info.devices[id].cc += prop.minor * 0x10; } } - GGML_LOG_INFO(" Device %d: %s, %s (0x%x), VMM: %s, Wave Size: %d\n", + GGML_LOG_INFO(" Device %d: %s, %s (0x%x), VMM: %s, Wave Size: %d, VRAM: %zu MiB (%zu MiB free)\n", id, prop.name, prop.gcnArchName, info.devices[id].cc & 0xffff, - device_vmm ? "yes" : "no", prop.warpSize); + device_vmm ? "yes" : "no", prop.warpSize, + (size_t)(prop.totalGlobalMem / (1024 * 1024)), free_mem / (1024 * 1024)); #elif defined(GGML_USE_MUSA) // FIXME: Ensure compatibility with varying warp sizes across different MUSA archs. info.devices[id].warp_size = 32; info.devices[id].smpbo = prop.sharedMemPerBlockOptin; info.devices[id].cc = GGML_CUDA_CC_OFFSET_MTHREADS + prop.major * 0x100; info.devices[id].cc += prop.minor * 0x10; - GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s\n", - id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no"); + GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s, VRAM: %zu MiB (%zu MiB free)\n", + id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no", + (size_t)(prop.totalGlobalMem / (1024 * 1024)), free_mem / (1024 * 1024)); #else info.devices[id].smpbo = prop.sharedMemPerBlockOptin; info.devices[id].cc = 100*prop.major + 10*prop.minor; - GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s\n", - id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no"); + GGML_LOG_INFO(" Device %d: %s, compute capability %d.%d, VMM: %s, VRAM: %zu MiB (%zu MiB free)\n", + id, prop.name, prop.major, prop.minor, device_vmm ? "yes" : "no", + (size_t)(prop.totalGlobalMem / (1024 * 1024)), free_mem / (1024 * 1024)); std::string device_name(prop.name); if (device_name == "NVIDIA GeForce MX450") { turing_devices_without_mma.push_back({ id, device_name }); From b2f460bd3c75f36b8fbe01bd3a6ca006a9424f49 Mon Sep 17 00:00:00 2001 From: Ruben Ortlam Date: Mon, 9 Mar 2026 07:23:45 +0100 Subject: [PATCH 25/37] vulkan: skip zero size tensors in backend copies (#20233) --- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 31 +++++++++++++++++++++++++++- 1 file changed, 30 insertions(+), 1 deletion(-) diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 0bf7d2e247..70e992ce23 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -13253,6 +13253,10 @@ static void ggml_backend_vk_buffer_memset_tensor(ggml_backend_buffer_t buffer, g ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; vk_buffer buf = buf_ctx->dev_buffer; + if (size == 0) { + return; + } + uint32_t val32 = (uint32_t)value * 0x01010101; ggml_vk_buffer_memset(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, val32, size); } @@ -13262,6 +13266,10 @@ static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; vk_buffer buf = buf_ctx->dev_buffer; + if (size == 0) { + return; + } + ggml_vk_buffer_write(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size); } @@ -13269,12 +13277,20 @@ static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, cons VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")"); ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context; + if (size == 0) { + return; + } + vk_buffer buf = buf_ctx->dev_buffer; ggml_vk_buffer_read(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size); } static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) { + if (ggml_nbytes(src) == 0) { + return true; + } + if (ggml_backend_buffer_is_vk(src->buffer)) { ggml_backend_vk_buffer_context * src_buf_ctx = (ggml_backend_vk_buffer_context *)src->buffer->context; ggml_backend_vk_buffer_context * dst_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context; @@ -13464,6 +13480,10 @@ static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); + if (size == 0) { + return; + } + ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context; vk_context cpy_ctx; @@ -13507,6 +13527,10 @@ static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_ ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); + if (size == 0) { + return; + } + ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)tensor->buffer->context; vk_context compute_ctx = ggml_vk_get_compute_ctx(ctx); @@ -13533,9 +13557,14 @@ static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_ } static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const ggml_tensor * src, ggml_tensor * dst) { - VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async()"); + VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async(" << src << " -> " << dst << ", size=" << ggml_nbytes(src) << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend_dst->context; + // Skip zero-size tensors + if (ggml_nbytes(src) == 0) { + return true; + } + if (dst->buffer->buft != ggml_backend_vk_get_default_buffer_type(backend_dst)) { return false; } From 0beb8db3a0037b51f8247ac657b7655ab68fa9f0 Mon Sep 17 00:00:00 2001 From: Bertay Eren <39909689+bertaye@users.noreply.github.com> Date: Mon, 9 Mar 2026 09:24:16 +0300 Subject: [PATCH 26/37] ggml-vulkan: add SGN operator, auto-generate Vulkan.csv and ops.md (#20219) --- docs/ops.md | 3 ++- docs/ops/Vulkan.csv | 21 +++++++++++++++---- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 9 ++++++++ ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp | 21 +++++++++++++++++++ .../vulkan-shaders/vulkan-shaders-gen.cpp | 2 ++ 5 files changed, 51 insertions(+), 5 deletions(-) create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp diff --git a/docs/ops.md b/docs/ops.md index cab0b37a77..019b087cef 100644 --- a/docs/ops.md +++ b/docs/ops.md @@ -47,6 +47,7 @@ Legend: | FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | | FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | FLOOR | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | +| GATED_DELTA_NET | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | GATED_LINEAR_ATTN | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | | GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | GEGLU_ERF | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | @@ -92,7 +93,7 @@ Legend: | SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | SET | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ | | SET_ROWS | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | -| SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | +| SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | | SILU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | | SILU_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | diff --git a/docs/ops/Vulkan.csv b/docs/ops/Vulkan.csv index 011dffcd8e..e693154968 100644 --- a/docs/ops/Vulkan.csv +++ b/docs/ops/Vulkan.csv @@ -1,8 +1,8 @@ "backend_name","op_name","op_params","test_mode","supported","error_message","backend_reg_name" "Vulkan0","ABS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","ABS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" -"Vulkan0","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan" -"Vulkan0","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan" +"Vulkan0","SGN","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" +"Vulkan0","SGN","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","NEG","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","NEG","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","STEP","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" @@ -85,8 +85,8 @@ "Vulkan0","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","Vulkan" "Vulkan0","ABS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","ABS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" -"Vulkan0","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","Vulkan" -"Vulkan0","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","Vulkan" +"Vulkan0","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" +"Vulkan0","SGN","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","NEG","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" "Vulkan0","NEG","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","Vulkan" "Vulkan0","STEP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","Vulkan" @@ -13591,3 +13591,16 @@ "Vulkan0","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[30000,1,1,1]","support","0","no","Vulkan" "Vulkan0","OPT_STEP_ADAMW","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" "Vulkan0","OPT_STEP_SGD","type=f32,ne=[10,5,4,3]","support","1","yes","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=32,head_size=128,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=16,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=1,kda=0","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=1,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=32,n_seq_tokens=4,n_seqs=1,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=8,head_size=32,n_seq_tokens=4,n_seqs=2,v_repeat=2,permuted=0,kda=1","support","0","no","Vulkan" +"Vulkan0","GATED_DELTA_NET","type=f32,head_count=4,head_size=64,n_seq_tokens=4,n_seqs=2,v_repeat=1,permuted=1,kda=1","support","0","no","Vulkan" diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 70e992ce23..61d112c50a 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -763,6 +763,7 @@ struct vk_device_struct { vk_pipeline pipeline_ceil[2]; vk_pipeline pipeline_floor[2]; vk_pipeline pipeline_trunc[2]; + vk_pipeline pipeline_sgn[2]; vk_pipeline pipeline_add1_f16_f16; vk_pipeline pipeline_add1_f16_f32; @@ -4393,6 +4394,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_UNARY(ceil) CREATE_UNARY(floor) CREATE_UNARY(trunc) + CREATE_UNARY(sgn) #undef CREATE_UNARY #define CREATE_UNARY_RTE(name) \ @@ -9281,6 +9283,8 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const return ctx->device->pipeline_floor[dst->type == GGML_TYPE_F16]; case GGML_UNARY_OP_TRUNC: return ctx->device->pipeline_trunc[dst->type == GGML_TYPE_F16]; + case GGML_UNARY_OP_SGN: + return ctx->device->pipeline_sgn[dst->type == GGML_TYPE_F16]; default: break; } @@ -12875,6 +12879,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr case GGML_UNARY_OP_CEIL: case GGML_UNARY_OP_FLOOR: case GGML_UNARY_OP_TRUNC: + case GGML_UNARY_OP_SGN: ggml_vk_unary(ctx, compute_ctx, src0, node); break; case GGML_UNARY_OP_XIELU: @@ -15004,6 +15009,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_UNARY_OP_CEIL: case GGML_UNARY_OP_FLOOR: case GGML_UNARY_OP_TRUNC: + case GGML_UNARY_OP_SGN: return ggml_is_contiguous(op->src[0]) && (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) && (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && @@ -16170,6 +16176,9 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_cgraph * case GGML_UNARY_OP_TRUNC: tensor_clone = ggml_trunc(ggml_ctx, src_clone[0]); break; + case GGML_UNARY_OP_SGN: + tensor_clone = ggml_sgn(ggml_ctx, src_clone[0]); + break; default: std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl; GGML_ABORT("fatal error"); diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp b/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp new file mode 100644 index 0000000000..a9c147bf9a --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/sgn.comp @@ -0,0 +1,21 @@ +#version 450 + +#include "generic_head.glsl" +#include "types.glsl" + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + data_d[i] = D_TYPE(sign(float(data_a[i]))); +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp index ed077dfb6c..fb8941232b 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp @@ -871,6 +871,8 @@ void process_shaders() { string_to_spv("elu_f32", "elu.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); string_to_spv("xielu_f16", "xielu.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); string_to_spv("xielu_f32", "xielu.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); + string_to_spv("sgn_f16", "sgn.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); + string_to_spv("sgn_f32", "sgn.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); string_to_spv("tri_f16", "tri.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}}); string_to_spv("tri_f32", "tri.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}}); From e2763a6723848d14e992c43410e2afcbe86446c7 Mon Sep 17 00:00:00 2001 From: Aman Gupta Date: Mon, 9 Mar 2026 15:05:34 +0800 Subject: [PATCH 27/37] contributing: limit open PRs for new contributors to 1 (#20036) --- CONTRIBUTING.md | 1 + 1 file changed, 1 insertion(+) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 0fe627f4e7..996f34ed82 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -39,6 +39,7 @@ Before submitting your PR: - For intricate features, consider opening a feature request first to discuss and align expectations - When adding support for a new model or feature, focus on **CPU support only** in the initial PR unless you have a good reason not to. Add support for other backends like CUDA in follow-up PRs - Consider allowing write access to your branch for faster reviews, as reviewers can push commits directly +- If you are a new contributor, limit your open PRs to 1. After submitting your PR: - Expect requests for modifications to ensure the code meets llama.cpp's standards for quality and long-term maintainability From b518195101fda6e3e636d997d487c83a629a0089 Mon Sep 17 00:00:00 2001 From: ddh0 Date: Mon, 9 Mar 2026 02:28:41 -0500 Subject: [PATCH 28/37] llama-quant : left-align tensor names in output (#20117) --- src/llama-quant.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp index c192e1ef02..3e87ac55b8 100644 --- a/src/llama-quant.cpp +++ b/src/llama-quant.cpp @@ -778,7 +778,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std:: ml.load_data_for(tensor); } - LLAMA_LOG_INFO("[%4d/%4d] %36s - [%s], type = %6s, ", + LLAMA_LOG_INFO("[%4d/%4d] %-36s - [%s], type = %6s, ", ++idx, ml.n_tensors, ggml_get_name(tensor), llama_format_tensor_shape(tensor).c_str(), From e8bbc736cbc5d945a0b26dadbd6224d0aeba7faa Mon Sep 17 00:00:00 2001 From: Aman Gupta Date: Mon, 9 Mar 2026 16:15:36 +0800 Subject: [PATCH 29/37] ggml-cuda: disable gdn for musa (#20278) --- ggml/src/ggml-cuda/ggml-cuda.cu | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index 0fafaf0093..cda275b8c5 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -4992,9 +4992,15 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_LEAKY_RELU: case GGML_OP_RWKV_WKV6: case GGML_OP_GATED_LINEAR_ATTN: - case GGML_OP_GATED_DELTA_NET: case GGML_OP_RWKV_WKV7: return true; + case GGML_OP_GATED_DELTA_NET: + //TODO: enable once MUSA compiler is solved https://github.com/ggml-org/llama.cpp/pull/19504#issuecomment-4018634327 +#ifdef GGML_USE_MUSA + return false; +#else + return true; +#endif // GGML_USE_MUSA case GGML_OP_FLASH_ATTN_EXT: return ggml_cuda_flash_attn_ext_supported(dev_ctx->device, op); case GGML_OP_CROSS_ENTROPY_LOSS: From 107d5999520dd02195ebe05278752db9fd33c865 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 9 Mar 2026 10:33:12 +0200 Subject: [PATCH 30/37] server : add kill switch when server is stuck (#20277) --- tools/server/server-context.cpp | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp index 3790308d0e..b67190a469 100644 --- a/tools/server/server-context.cpp +++ b/tools/server/server-context.cpp @@ -562,7 +562,7 @@ private: llama_model_ptr model_dft; - bool add_bos_token = true; + bool add_bos_token = true; int32_t n_ctx; // total context for all clients / slots @@ -570,6 +570,7 @@ private: std::vector slots; int slots_debug = 0; + int n_empty_consequtive = 0; std::unique_ptr prompt_cache; @@ -2628,6 +2629,12 @@ private: if (batch.n_tokens == 0) { SRV_WRN("%s", "no tokens to decode\n"); + + if (++n_empty_consequtive > 3) { + GGML_ABORT("fatal error - please provide logs and repro in %s\n", "https://github.com/ggml-org/llama.cpp/pull/20277"); + } + } else { + n_empty_consequtive = 0; } int32_t i_next = 0; From 43e1cbd6c1b407fcb1fb0196276265e774986035 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 9 Mar 2026 13:15:15 +0200 Subject: [PATCH 31/37] models : fix assert in mamba2 graph (#20270) --- src/models/mamba-base.cpp | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/models/mamba-base.cpp b/src/models/mamba-base.cpp index 8aedbef84e..8a79fe4b6c 100644 --- a/src/models/mamba-base.cpp +++ b/src/models/mamba-base.cpp @@ -155,7 +155,6 @@ ggml_tensor * llm_build_mamba_base::build_mamba2_layer(llm_graph_input_rs * inp, const auto kv_head = mctx_cur->get_head(); - const int64_t n_embd = hparams.n_embd; const int64_t d_conv = hparams.ssm_d_conv; const int64_t d_inner = hparams.ssm_d_inner; const int64_t d_state = hparams.ssm_d_state; @@ -170,7 +169,7 @@ ggml_tensor * llm_build_mamba_base::build_mamba2_layer(llm_graph_input_rs * inp, GGML_ASSERT(ubatch.equal_seqs()); GGML_ASSERT(ubatch.n_tokens == n_seq_tokens * n_seqs); GGML_ASSERT(d_inner % n_head == 0); - GGML_ASSERT(d_inner % (n_group*n_embd) == 0); + GGML_ASSERT(d_inner % (n_group*d_state) == 0); ggml_tensor * conv_states_all = mctx_cur->get_r_l(il); ggml_tensor * ssm_states_all = mctx_cur->get_s_l(il); From f76565db92272d98976d5b8b1809ebe1e079f8cd Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Mon, 9 Mar 2026 14:25:11 +0100 Subject: [PATCH 32/37] common: map developer role to system (#20215) * Map developer role to system * Simplify --- common/chat.cpp | 15 +++ tests/test-chat.cpp | 291 ++++++-------------------------------------- 2 files changed, 54 insertions(+), 252 deletions(-) diff --git a/common/chat.cpp b/common/chat.cpp index 29d2e5fd12..d86bad462b 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -1352,6 +1352,17 @@ static common_chat_params common_chat_params_init_lfm2(const common_chat_templat namespace workaround { +static void map_developer_role_to_system(json & messages) { + for (auto & message : messages) { + if (message.contains("role")) { + if (message["role"] == "developer") { + message["role"] = "system"; + } + } + } +} + + // if first message is system and template does not support it, merge it with next message static void system_message_not_supported(json & messages) { if (!messages.empty() && messages.front().at("role") == "system") { @@ -1429,6 +1440,10 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_ params.add_bos = tmpls->add_bos; params.add_eos = tmpls->add_eos; + if (src.find("<|channel|>") == std::string::npos) { + // map developer to system for all models except for GPT-OSS + workaround::map_developer_role_to_system(params.messages); + } workaround::func_args_not_string(params.messages); if (!tmpl.original_caps().supports_system_role) { diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index 2f83d7c0b1..b46a34e939 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -800,258 +800,6 @@ const common_chat_msg message_assist_call_python_lines_unclosed = const common_chat_msg message_assist_json_content = simple_assist_msg("{\n \"response\": \"Hello, world!\\nWhat's up?\"\n}"); -struct delta_data { - std::string delta; - common_chat_params params; -}; - -static delta_data init_delta(const struct common_chat_templates * tmpls, - const std::vector & end_tokens, - const common_chat_msg & user_message, - const common_chat_msg & delta_message, - const std::vector & tools, - const common_chat_tool_choice & tool_choice) { - common_chat_templates_inputs inputs; - inputs.parallel_tool_calls = true; - inputs.messages.push_back(user_message); - inputs.tools = tools; - inputs.tool_choice = tool_choice; - auto params_prefix = common_chat_templates_apply(tmpls, inputs); - - inputs.messages.push_back(delta_message); - inputs.add_generation_prompt = false; - auto params_full = common_chat_templates_apply(tmpls, inputs); - - std::string prefix = params_prefix.prompt; - std::string full = params_full.prompt; - - if (full == prefix) { - throw std::runtime_error("Full message is the same as the prefix"); - } - - size_t common_prefix_length = 0; - for (size_t i = 0; i < prefix.size() && i < full.size(); ++i) { - if (prefix[i] != full[i]) { - break; - } - if (prefix[i] == '<') { - // DeepSeek R1's template (as of 20250209) adds a trailing if add_generation_prompt, - // but it removes thinking tags for past messages. - // The prefix and full strings diverge at vs. <｜tool▁calls▁begin｜>, we avoid consuming the leading <. - continue; - } - common_prefix_length = i + 1; - } - auto delta = full.substr(common_prefix_length); - - // Strip end tokens - for (const auto & end_token : end_tokens) { - // rfind to find the last occurrence - auto pos = delta.rfind(end_token); - if (pos != std::string::npos) { - delta = delta.substr(0, pos); - break; - } - } - return { delta, params_full }; -} - -/* - Applies the template to 1 user message w/ add_generation_prompt=true, then w/ the test message w/ add_generation_prompt=false, - gets the diff, removes any end tokens and parses the result w/ the grammar, checking that - the parsed message is the same as the test_message -*/ -static void test_templates(const struct common_chat_templates * tmpls, - const std::vector & end_tokens, - const common_chat_msg & test_message, - const std::vector & tools = {}, - const std::string & expected_delta = "", - bool expect_grammar_triggered = true, - bool test_grammar_if_triggered = true, - common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE, - bool ignore_whitespace_differences = false) { - common_chat_msg user_message; - user_message.role = "user"; - user_message.content = "Hello, world!"; - - common_chat_templates_inputs inputs_tools; - inputs_tools.messages = { message_user }; - inputs_tools.tools = { special_function_tool }; - - common_chat_params params = common_chat_templates_apply(tmpls, inputs_tools); - - for (const auto & tool_choice : - std::vector{ COMMON_CHAT_TOOL_CHOICE_AUTO, COMMON_CHAT_TOOL_CHOICE_REQUIRED }) { - auto data = init_delta(tmpls, end_tokens, user_message, test_message, tools, tool_choice); - if (!expected_delta.empty()) { - if (ignore_whitespace_differences) { - assert_equals(string_strip(expected_delta), string_strip(data.delta)); - } else { - assert_equals(expected_delta, data.delta); - } - } - - if (expect_grammar_triggered) { - // TODO @ngxson : refactor common_chat_parse to avoid passing format/reasoning_format every time - common_chat_parser_params parser_params; - parser_params.format = data.params.format; - parser_params.reasoning_format = reasoning_format; - if (!parser_params.parser.empty()) { - parser_params.parser = common_peg_arena(); - parser_params.parser.load(params.parser); - } - const auto msg = common_chat_parse(data.delta, /* is_partial= */ false, parser_params); - assert_msg_equals(test_message, msg, ignore_whitespace_differences); - } - - if (!test_message.tool_calls.empty()) { - GGML_ASSERT(!data.params.grammar.empty()); - } - if (!data.params.grammar.empty()) { - auto grammar = build_grammar(data.params.grammar); - if (!grammar) { - throw std::runtime_error("Failed to build grammar"); - } - auto earliest_trigger_pos = std::string::npos; - auto constrained = data.delta; - for (const auto & trigger : data.params.grammar_triggers) { - size_t pos = std::string::npos; - std::smatch match; - switch (trigger.type) { - case COMMON_GRAMMAR_TRIGGER_TYPE_WORD: - { - const auto & word = trigger.value; - pos = constrained.find(word); - break; - } - case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN: - { - const auto & pattern = std::regex(trigger.value); - if (std::regex_search(constrained, match, pattern)) { - pos = match.position(pattern.mark_count()); - } - break; - } - case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL: - { - const auto & pattern = trigger.value; - if (std::regex_match(constrained, match, std::regex(pattern))) { - auto mpos = std::string::npos; - for (size_t i = 1; i < match.size(); ++i) { - if (match[i].length() > 0) { - mpos = match.position(i); - break; - } - } - if (mpos == std::string::npos) { - mpos = match.position(0); - } - pos = mpos; - } - break; - } - default: - throw std::runtime_error("Unknown trigger type"); - } - if (pos == std::string::npos) { - continue; - } - if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) { - earliest_trigger_pos = pos; - } - } - auto grammar_triggered = false; - if (earliest_trigger_pos != std::string::npos) { - constrained = constrained.substr(earliest_trigger_pos); - grammar_triggered = true; - } - if (data.params.grammar_lazy) { - assert_equals(expect_grammar_triggered, grammar_triggered); - } - - if (grammar_triggered && test_grammar_if_triggered && !match_string(constrained, grammar.get())) { - throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta + - "\n\nConstrained: " + constrained + "\n\nGrammar: " + data.params.grammar); - } - } - } -} - -/** - * Test if streaming=true is consistent with streaming=false for given partial parser - * Also test if there is any problem with partial message - */ -template -static void test_parser_with_streaming(const common_chat_msg & expected, const std::string & raw_message, T parse_msg) { - constexpr auto utf8_truncate_safe_len = [](const std::string_view s) -> size_t { - auto len = s.size(); - if (len == 0) { - return 0; - } - auto i = len; - for (size_t back = 0; back < 4 && i > 0; ++back) { - --i; - unsigned char c = s[i]; - if ((c & 0x80) == 0) { - return len; - } - if ((c & 0xC0) == 0xC0) { - size_t expected_len = 0; - if ((c & 0xE0) == 0xC0) { - expected_len = 2; - } else if ((c & 0xF0) == 0xE0) { - expected_len = 3; - } else if ((c & 0xF8) == 0xF0) { - expected_len = 4; - } else { - return i; - } - if (len - i >= expected_len) { - return len; - } - return i; - } - } - return len - std::min(len, size_t(3)); - }; - constexpr auto utf8_truncate_safe_view = [utf8_truncate_safe_len](const std::string_view s) { - return s.substr(0, utf8_truncate_safe_len(s)); - }; - - auto merged = simple_assist_msg(""); - auto last_msg = parse_msg(""); - for (size_t i = 1; i <= raw_message.size(); ++i) { - auto curr_msg = parse_msg(std::string(utf8_truncate_safe_view(std::string_view(raw_message).substr(0, i)))); - if (curr_msg == simple_assist_msg("")) { - continue; - } - LOG_INF("Streaming msg: %s\n", common_chat_msgs_to_json_oaicompat({ curr_msg }).dump().c_str()); - for (auto diff : common_chat_msg_diff::compute_diffs(last_msg, curr_msg)) { - LOG_INF("Streaming diff: %s\n", common_chat_msg_diff_to_json_oaicompat(diff).dump().c_str()); - if (!diff.reasoning_content_delta.empty()) { - merged.reasoning_content += diff.reasoning_content_delta; - } - if (!diff.content_delta.empty()) { - merged.content += diff.content_delta; - } - if (diff.tool_call_index != std::string::npos) { - if (!diff.tool_call_delta.name.empty()) { - merged.tool_calls.push_back({ diff.tool_call_delta.name, "", "" }); - } - if (!diff.tool_call_delta.arguments.empty()) { - GGML_ASSERT(!merged.tool_calls.empty()); - merged.tool_calls.back().arguments += diff.tool_call_delta.arguments; - } - } - LOG_INF("Streaming merged: %s\n", common_chat_msgs_to_json_oaicompat({ merged }).dump().c_str()); - } - assert_msg_equals(curr_msg, merged, true); - last_msg = curr_msg; - } - assert_msg_equals(expected, parse_msg(raw_message), true); - assert_msg_equals(expected, merged, true); -} - // Use for PEG parser implementations struct peg_test_case { common_chat_templates_inputs params; @@ -3019,6 +2767,44 @@ static void test_template_output_peg_parsers(bool detailed_debug) { } } +// Test the developer role to system workaround with a simple mock template +static void test_developer_role_to_system_workaround() { + LOG_DBG("%s\n", __func__); + + // Simple mock template that supports system role + const std::string mock_template = + "{%- for message in messages -%}\n" + " {{- '<|' + message.role + '|>' + message.content + '<|end|>' -}}\n" + "{%- endfor -%}\n" + "{%- if add_generation_prompt -%}\n" + " {{- '<|assistant|>' -}}\n" + "{%- endif -%}"; + + auto tmpls = common_chat_templates_ptr(common_chat_templates_init(/* model= */ nullptr, mock_template)); + + // Test case 1: Developer message - should be changed to system + // After simplification we only test this case + { + common_chat_templates_inputs inputs; + common_chat_msg developer_msg; + developer_msg.role = "developer"; + developer_msg.content = "You are a helpful developer assistant."; + inputs.messages = { developer_msg }; + inputs.add_generation_prompt = false; + + auto params = common_chat_templates_apply(tmpls.get(), inputs); + + // The developer role should have been changed to system + if (params.prompt.find("<|developer|>") != std::string::npos) { + throw std::runtime_error("Test failed: developer role was not changed to system"); + } + if (params.prompt.find("<|system|>You are a helpful developer assistant.<|end|>") == std::string::npos) { + throw std::runtime_error("Test failed: system message not found in output"); + } + LOG_ERR("Test 1 passed: developer role changed to system\n"); + } +} + static void test_msg_diffs_compute() { LOG_DBG("%s\n", __func__); { @@ -3155,6 +2941,7 @@ int main(int argc, char ** argv) { test_msg_diffs_compute(); test_msgs_oaicompat_json_conversion(); test_tools_oaicompat_json_conversion(); + test_developer_role_to_system_workaround(); test_template_output_peg_parsers(detailed_debug); std::cout << "\n[chat] All tests passed!" << '\n'; } From d6e1556499814da42424e39397a9964a1bebbf00 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 9 Mar 2026 16:43:38 +0200 Subject: [PATCH 33/37] server : fix off-by-1 in server_tokens::size_up_to_pos() (#20279) * server : fix off-by-1 in server_tokens::size_up_to_pos() * cont : fix typo [no ci] --- tools/server/server-common.cpp | 4 ++-- tools/server/server-common.h | 2 +- tools/server/server-context.cpp | 8 ++++---- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/tools/server/server-common.cpp b/tools/server/server-common.cpp index 13ea8c690f..5b8895b341 100644 --- a/tools/server/server-common.cpp +++ b/tools/server/server-common.cpp @@ -276,7 +276,7 @@ llama_pos server_tokens::pos_next(int64_t n_tokens) const { size_t server_tokens::size_up_to_pos(llama_pos max_pos) const { if (!has_mtmd) { - return std::min((size_t)(max_pos + 1), tokens.size()); + return std::min((size_t)max_pos, tokens.size()); } size_t idx = 0; @@ -296,7 +296,7 @@ size_t server_tokens::size_up_to_pos(llama_pos max_pos) const { idx++; } - if (pos > max_pos) { + if (pos >= max_pos) { break; } } diff --git a/tools/server/server-common.h b/tools/server/server-common.h index 4fb9e488df..a234541e19 100644 --- a/tools/server/server-common.h +++ b/tools/server/server-common.h @@ -170,7 +170,7 @@ public: // the next position after n_tokens. if n_tokens < 0, return the next position after all tokens. llama_pos pos_next(int64_t n_tokens = -1) const; - // number of tokens with position <= max_pos + // number of tokens with position < max_pos size_t size_up_to_pos(llama_pos max_pos) const; const mtmd::input_chunk_ptr & find_chunk(size_t idx) const; diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp index b67190a469..33bec85c23 100644 --- a/tools/server/server-context.cpp +++ b/tools/server/server-context.cpp @@ -570,7 +570,7 @@ private: std::vector slots; int slots_debug = 0; - int n_empty_consequtive = 0; + int n_empty_consecutive = 0; std::unique_ptr prompt_cache; @@ -2372,7 +2372,7 @@ private: } else { pos_next = std::min(pos_next, std::max(it->pos_min + 1, it->pos_max)); n_past = std::min(slot.prompt.tokens.size_up_to_pos(pos_next), (size_t) it->n_tokens); - SLT_WRN(slot, "restored context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n", it->pos_min, it->pos_max, it->n_tokens, (float) checkpoint_size / 1024 / 1024); + SLT_WRN(slot, "restored context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", n_past = %d, size = %.3f MiB)\n", it->pos_min, it->pos_max, it->n_tokens, n_past, (float) checkpoint_size / 1024 / 1024); } } @@ -2630,11 +2630,11 @@ private: if (batch.n_tokens == 0) { SRV_WRN("%s", "no tokens to decode\n"); - if (++n_empty_consequtive > 3) { + if (++n_empty_consecutive > 3) { GGML_ABORT("fatal error - please provide logs and repro in %s\n", "https://github.com/ggml-org/llama.cpp/pull/20277"); } } else { - n_empty_consequtive = 0; + n_empty_consecutive = 0; } int32_t i_next = 0; From 344ee2a38af98b80c476bd65fb749702012f7414 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 9 Mar 2026 16:44:25 +0200 Subject: [PATCH 34/37] server : warn swa-full is not supported for non-SWA models (#20291) --- tools/server/server-context.cpp | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp index 33bec85c23..67ac5112eb 100644 --- a/tools/server/server-context.cpp +++ b/tools/server/server-context.cpp @@ -729,6 +729,13 @@ private: } } + if (llama_model_n_swa(model) == 0) { + if (params_base.swa_full) { + params_base.swa_full = false; + SRV_WRN("%s\n", "swa_full is not supported by this model, it will be disabled"); + } + } + // Necessary similarity of prompt for slot selection slot_prompt_similarity = params_base.slot_prompt_similarity; From ed0007aa32b94f40e4f3ba0d0fe24d86a582232b Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 9 Mar 2026 16:45:11 +0200 Subject: [PATCH 35/37] metal : add upscale (#20284) --- ggml/src/ggml-metal/ggml-metal-device.cpp | 23 +++- ggml/src/ggml-metal/ggml-metal-device.m | 2 +- ggml/src/ggml-metal/ggml-metal-impl.h | 2 + ggml/src/ggml-metal/ggml-metal-ops.cpp | 59 +++++---- ggml/src/ggml-metal/ggml-metal.metal | 154 +++++++++++++++++++++- 5 files changed, 211 insertions(+), 29 deletions(-) diff --git a/ggml/src/ggml-metal/ggml-metal-device.cpp b/ggml/src/ggml-metal/ggml-metal-device.cpp index 06f3d80459..169c63dd7a 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.cpp +++ b/ggml/src/ggml-metal/ggml-metal-device.cpp @@ -1717,12 +1717,29 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_upscale(ggml_met char base[256]; char name[256]; - snprintf(base, 256, "kernel_upscale_%s", ggml_type_name(op->src[0]->type)); - snprintf(name, 256, "%s", base); + const int32_t mode_flags = ggml_get_op_params_i32(op, 0); + const ggml_scale_mode mode = (ggml_scale_mode) (mode_flags & 0xFF); + + const bool antialias = (mode_flags & GGML_SCALE_FLAG_ANTIALIAS); + + if (mode == GGML_SCALE_MODE_BILINEAR) { + snprintf(base, 256, "kernel_upscale_bilinear_%s", ggml_type_name(op->src[0]->type)); + } else if (mode == GGML_SCALE_MODE_BICUBIC) { + snprintf(base, 256, "kernel_upscale_bicubic_%s", ggml_type_name(op->src[0]->type)); + } else { + snprintf(base, 256, "kernel_upscale_nearest_%s", ggml_type_name(op->src[0]->type)); + } + snprintf(name, 256, "%s_aa=%d", base, antialias); ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name); if (!res.pipeline) { - res = ggml_metal_library_compile_pipeline(lib, base, name, nullptr); + ggml_metal_cv_t cv = ggml_metal_cv_init(); + + ggml_metal_cv_set_bool(cv, antialias, FC_UPSCALE + 0); + + res = ggml_metal_library_compile_pipeline(lib, base, name, cv); + + ggml_metal_cv_free(cv); } return res; diff --git a/ggml/src/ggml-metal/ggml-metal-device.m b/ggml/src/ggml-metal/ggml-metal-device.m index 4cce414abf..23bd2b2ab7 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.m +++ b/ggml/src/ggml-metal/ggml-metal-device.m @@ -1108,7 +1108,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te op->type == GGML_TYPE_F32 && (op->src[0]->type == GGML_TYPE_F16 || op->src[0]->type == GGML_TYPE_F32); case GGML_OP_UPSCALE: - return op->src[0]->type == GGML_TYPE_F32 && op->op_params[0] == GGML_SCALE_MODE_NEAREST && !(op->op_params[0] & GGML_SCALE_FLAG_ANTIALIAS); + return op->src[0]->type == GGML_TYPE_F32; case GGML_OP_POOL_1D: return ggml_is_contiguous(op->src[0]) && op->src[0]->type == GGML_TYPE_F32; case GGML_OP_POOL_2D: diff --git a/ggml/src/ggml-metal/ggml-metal-impl.h b/ggml/src/ggml-metal/ggml-metal-impl.h index 383e0d6e93..bf51055e36 100644 --- a/ggml/src/ggml-metal/ggml-metal-impl.h +++ b/ggml/src/ggml-metal/ggml-metal-impl.h @@ -83,6 +83,7 @@ #define FC_UNARY 1200 #define FC_BIN 1300 #define FC_SUM_ROWS 1400 +#define FC_UPSCALE 1500 // op-specific constants #define OP_FLASH_ATTN_EXT_NQPSG 8 @@ -890,6 +891,7 @@ typedef struct { float sf1; float sf2; float sf3; + float poffs; } ggml_metal_kargs_upscale; typedef struct { diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp index b3390352ff..524e111662 100644 --- a/ggml/src/ggml-metal/ggml-metal-ops.cpp +++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp @@ -3729,32 +3729,43 @@ int ggml_metal_op_upscale(ggml_metal_op_t ctx, int idx) { GGML_TENSOR_LOCALS( int32_t, ne, op, ne); GGML_TENSOR_LOCALS(uint64_t, nb, op, nb); - const float sf0 = (float)ne0/op->src[0]->ne[0]; - const float sf1 = (float)ne1/op->src[0]->ne[1]; - const float sf2 = (float)ne2/op->src[0]->ne[2]; - const float sf3 = (float)ne3/op->src[0]->ne[3]; + float sf0 = (float)ne0/op->src[0]->ne[0]; + float sf1 = (float)ne1/op->src[0]->ne[1]; + float sf2 = (float)ne2/op->src[0]->ne[2]; + float sf3 = (float)ne3/op->src[0]->ne[3]; + + const int32_t mode_flags = ggml_get_op_params_i32(op, 0); + + float poffs = 0.5f; + + if (mode_flags & GGML_SCALE_FLAG_ALIGN_CORNERS) { + poffs = 0.0f; + sf0 = ne0 > 1 && ne00 > 1 ? (float)(ne0 - 1) / (ne00 - 1) : sf0; + sf1 = ne1 > 1 && ne01 > 1 ? (float)(ne1 - 1) / (ne01 - 1) : sf1; + } ggml_metal_kargs_upscale args = { - /*.ne00 =*/ ne00, - /*.ne01 =*/ ne01, - /*.ne02 =*/ ne02, - /*.ne03 =*/ ne03, - /*.nb00 =*/ nb00, - /*.nb01 =*/ nb01, - /*.nb02 =*/ nb02, - /*.nb03 =*/ nb03, - /*.ne0 =*/ ne0, - /*.ne1 =*/ ne1, - /*.ne2 =*/ ne2, - /*.ne3 =*/ ne3, - /*.nb0 =*/ nb0, - /*.nb1 =*/ nb1, - /*.nb2 =*/ nb2, - /*.nb3 =*/ nb3, - /*.sf0 =*/ sf0, - /*.sf1 =*/ sf1, - /*.sf2 =*/ sf2, - /*.sf3 =*/ sf3 + /*.ne00 =*/ ne00, + /*.ne01 =*/ ne01, + /*.ne02 =*/ ne02, + /*.ne03 =*/ ne03, + /*.nb00 =*/ nb00, + /*.nb01 =*/ nb01, + /*.nb02 =*/ nb02, + /*.nb03 =*/ nb03, + /*.ne0 =*/ ne0, + /*.ne1 =*/ ne1, + /*.ne2 =*/ ne2, + /*.ne3 =*/ ne3, + /*.nb0 =*/ nb0, + /*.nb1 =*/ nb1, + /*.nb2 =*/ nb2, + /*.nb3 =*/ nb3, + /*.sf0 =*/ sf0, + /*.sf1 =*/ sf1, + /*.sf2 =*/ sf2, + /*.sf3 =*/ sf3, + /*.poffs =*/ poffs, }; auto pipeline = ggml_metal_library_get_pipeline_upscale(lib, op); diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal index a58e641ad8..5cfd69dd86 100644 --- a/ggml/src/ggml-metal/ggml-metal.metal +++ b/ggml/src/ggml-metal/ggml-metal.metal @@ -4530,7 +4530,9 @@ kernel void kernel_conv_transpose_2d( uint3 tpitg[[thread_position_in_threadgroup]], uint3 ntg[[threads_per_threadgroup]]); -kernel void kernel_upscale_f32( +constant bool FC_upscale_aa [[function_constant(FC_UPSCALE + 0)]]; + +kernel void kernel_upscale_nearest_f32( constant ggml_metal_kargs_upscale & args, device const char * src0, device char * dst, @@ -4556,6 +4558,156 @@ kernel void kernel_upscale_f32( } } +static inline float bilinear_tri(float x) { + return MAX(0.0f, 1.0f - fabs(x)); +} + +kernel void kernel_upscale_bilinear_f32( + constant ggml_metal_kargs_upscale & args, + device const char * src0, + device char * dst, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + + const int64_t i3 = tgpig.z; + const int64_t i2 = tgpig.y; + const int64_t i1 = tgpig.x; + + const int64_t i03 = i3 / args.sf3; + const int64_t i02 = i2 / args.sf2; + + const float f01 = ((float)i1 + args.poffs) / args.sf1 - args.poffs; + const int64_t i01 = MAX(0, MIN(args.ne01 - 1, (int64_t)floor(f01))); + const int64_t i01p = MAX(0, MIN(args.ne01 - 1, i01 + 1)); + const float fd1 = MAX(0.0f, MIN(1.0f, f01 - (float)i01)); + + src0 += i03*args.nb03 + i02*args.nb02; + + device float * dst_ptr = (device float *)(dst + i3*args.nb3 + i2*args.nb2 + i1*args.nb1); + + if (FC_upscale_aa) { + const float support0 = MAX(1.0f, 1.0f / args.sf0); + const float invscale0 = 1.0f / support0; + const float support1 = MAX(1.0f, 1.0f / args.sf1); + const float invscale1 = 1.0f / support1; + + for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) { + const float f00 = ((float)i0 + args.poffs) / args.sf0 - args.poffs; + + int64_t x_min = MAX((int64_t)0, (int64_t)floor(f00 - support0 + args.poffs)); + int64_t x_max = MIN(args.ne00, (int64_t)ceil (f00 + support0 + args.poffs)); + + int64_t y_min = MAX((int64_t)0, (int64_t)floor(f01 - support1 + args.poffs)); + int64_t y_max = MIN(args.ne01, (int64_t)ceil (f01 + support1 + args.poffs)); + + float sum = 0.0f; + float wsum = 0.0f; + + for (int64_t sy = y_min; sy < y_max; ++sy) { + const float wy = MAX(0.0f, 1.0f - fabs((float)sy - f01) * invscale1); + for (int64_t sx = x_min; sx < x_max; ++sx) { + const float wx = MAX(0.0f, 1.0f - fabs((float)sx - f00) * invscale0); + const float w = wx * wy; + const device const float * src_ptr = (device const float *)(src0 + sy*args.nb01 + sx*args.nb00); + sum += (*src_ptr) * w; + wsum += w; + } + } + + const float v = (wsum > 0.0f) ? (sum / wsum) : 0.0f; + dst_ptr[i0] = v; + } + } else { + for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) { + const float f00 = ((float)i0 + args.poffs) / args.sf0 - args.poffs; + const int64_t i00 = MAX(0, MIN(args.ne00 - 1, (int64_t)floor(f00))); + const int64_t i00p = MAX(0, MIN(args.ne00 - 1, i00 + 1)); + const float fd0 = MAX(0.0f, MIN(1.0f, f00 - (float)i00)); + + device const float * src00 = (device const float *)(src0 + i01*args.nb01 + i00*args.nb00); + device const float * src10 = (device const float *)(src0 + i01*args.nb01 + i00p*args.nb00); + device const float * src01 = (device const float *)(src0 + i01p*args.nb01 + i00*args.nb00); + device const float * src11 = (device const float *)(src0 + i01p*args.nb01 + i00p*args.nb00); + + const float v = + (*src00) * (1.0f - fd0) * (1.0f - fd1) + + (*src10) * fd0 * (1.0f - fd1) + + (*src01) * (1.0f - fd0) * fd1 + + (*src11) * fd0 * fd1; + + dst_ptr[i0] = v; + } + } +} + +static inline float bicubic_weight1(float x) { + const float a = -0.75f; + return ((a + 2) * x - (a + 3)) * x * x + 1; +} + +static inline float bicubic_weight2(float x) { + const float a = -0.75f; + return ((a * x - 5 * a) * x + 8 * a) * x - 4 * a; +} + +kernel void kernel_upscale_bicubic_f32( + constant ggml_metal_kargs_upscale & args, + device const char * src0, + device char * dst, + uint3 tgpig[[threadgroup_position_in_grid]], + uint3 tpitg[[thread_position_in_threadgroup]], + uint3 ntg[[threads_per_threadgroup]]) { + + const int64_t i3 = tgpig.z; + const int64_t i2 = tgpig.y; + const int64_t i1 = tgpig.x; + + const int64_t i03 = i3 / args.sf3; + const int64_t i02 = i2 / args.sf2; + + const float f01 = ((float)i1 + args.poffs) / args.sf1 - args.poffs; + const int64_t i01 = (int64_t)floor(f01); + const float fd1 = f01 - (float)i01; + + const float w_y0 = bicubic_weight2(fd1 + 1.0f); + const float w_y1 = bicubic_weight1(fd1); + const float w_y2 = bicubic_weight1(1.0f - fd1); + const float w_y3 = bicubic_weight2(2.0f - fd1); + + const device const char * src_slice = src0 + i03 * args.nb03 + i02 * args.nb02; + + device float * dst_ptr = (device float *)(dst + i3 * args.nb3 + i2 * args.nb2 + i1 * args.nb1); + + for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) { + const float f00 = ((float)i0 + args.poffs) / args.sf0 - args.poffs; + const int64_t i00 = (int64_t)floor(f00); + const float fd0 = f00 - (float)i00; + + const float w_x0 = bicubic_weight2(fd0 + 1.0f); + const float w_x1 = bicubic_weight1(fd0); + const float w_x2 = bicubic_weight1(1.0f - fd0); + const float w_x3 = bicubic_weight2(2.0f - fd0); + + float sum = 0.0f; + + for (int dy = -1; dy <= 2; ++dy) { + const int64_t iy = MAX(0, MIN(args.ne01 - 1, i01 + dy)); + const float wy = (dy == -1) ? w_y0 : (dy == 0) ? w_y1 : (dy == 1) ? w_y2 : w_y3; + + for (int dx = -1; dx <= 2; ++dx) { + const int64_t ix = MAX(0, MIN(args.ne00 - 1, i00 + dx)); + const float wx = (dx == -1) ? w_x0 : (dx == 0) ? w_x1 : (dx == 1) ? w_x2 : w_x3; + + const device const float * src_ptr = (device const float *)(src_slice + iy * args.nb01 + ix * args.nb00); + sum += (*src_ptr) * wx * wy; + } + } + + dst_ptr[i0] = sum; + } +} + kernel void kernel_pad_f32( constant ggml_metal_kargs_pad & args, device const char * src0, From 96cfc4992c625984d99f3529d30bedab1e1ecf93 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 9 Mar 2026 16:47:06 +0200 Subject: [PATCH 36/37] server : fix checkpoints n_tokens calculation (#20287) --- tools/server/server-context.cpp | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp index 67ac5112eb..3541d910d8 100644 --- a/tools/server/server-context.cpp +++ b/tools/server/server-context.cpp @@ -2141,6 +2141,9 @@ private: if (slot.state == SLOT_STATE_PROCESSING_PROMPT || slot.state == SLOT_STATE_STARTED) { const auto & input_tokens = slot.task->tokens; + // used to determine the number of tokens added to the batch for the current slot + const auto n_tokens_prev = batch.n_tokens; + // TODO: maybe move branch to outside of this loop in the future if (slot.state == SLOT_STATE_STARTED) { slot.t_start_process_prompt = ggml_time_us(); @@ -2533,6 +2536,9 @@ private: } } + // the number of tokens added to the batch for the current slot + const auto n_tokens_cur = batch.n_tokens - n_tokens_prev; + // entire prompt has been processed if (slot.prompt.n_tokens() == slot.task->n_tokens()) { slot.state = SLOT_STATE_DONE_PROMPT; @@ -2593,7 +2599,7 @@ private: auto & cur = slot.prompt.checkpoints.emplace_back(server_prompt_checkpoint{ /*.pos_min = */ pos_min, /*.pos_max = */ pos_max, - /*.n_tokens = */ slot.prompt.n_tokens() - batch.n_tokens, + /*.n_tokens = */ slot.prompt.n_tokens() - n_tokens_cur, /*.data = */ std::vector(checkpoint_size), }); From e22cd0aa155f0188eb9c605fd54daf3f2f38177b Mon Sep 17 00:00:00 2001 From: Paul Flynn Date: Mon, 9 Mar 2026 10:48:12 -0400 Subject: [PATCH 37/37] metal : extend mul_mv_ext to BF16, Q2_K, Q3_K (#20250) Enable mul_mv_ext small-batch kernels (BS 2-8) for BF16, Q2_K, and Q3_K quantization types. These types previously fell through to the slower single-row mul_mv path. BF16 uses the float4 dequantize path (like F16). Q2_K and Q3_K use the float4x4 K-quant path (like Q4_K/Q5_K/Q6_K). Co-authored-by: Claude Opus 4.6 --- ggml/src/ggml-metal/ggml-metal-ops.cpp | 3 +++ ggml/src/ggml-metal/ggml-metal.metal | 17 +++++++++++++++++ 2 files changed, 20 insertions(+) diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp index 524e111662..267755d08c 100644 --- a/ggml/src/ggml-metal/ggml-metal-ops.cpp +++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp @@ -1963,6 +1963,7 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) { ( op->src[0]->type == GGML_TYPE_F32 || // TODO: helper function op->src[0]->type == GGML_TYPE_F16 || + op->src[0]->type == GGML_TYPE_BF16 || op->src[0]->type == GGML_TYPE_Q4_0 || op->src[0]->type == GGML_TYPE_Q4_1 || op->src[0]->type == GGML_TYPE_Q5_0 || @@ -1977,6 +1978,8 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) { op->src[0]->type == GGML_TYPE_Q4_K || op->src[0]->type == GGML_TYPE_Q5_K || op->src[0]->type == GGML_TYPE_Q6_K || + op->src[0]->type == GGML_TYPE_Q2_K || + op->src[0]->type == GGML_TYPE_Q3_K || false) && (ne11 >= 4 && ne11 <= 8) ) ) diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal index 5cfd69dd86..82ebbb4e40 100644 --- a/ggml/src/ggml-metal/ggml-metal.metal +++ b/ggml/src/ggml-metal/ggml-metal.metal @@ -3481,6 +3481,13 @@ template [[host_name("kernel_mul_mv_ext_f16_f32_r1_3")]] kernel mul_mv_ext_q4 template [[host_name("kernel_mul_mv_ext_f16_f32_r1_4")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, half4, 4, dequantize_f16_t4>; template [[host_name("kernel_mul_mv_ext_f16_f32_r1_5")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, half4, 4, dequantize_f16_t4>; +#if defined(GGML_METAL_HAS_BF16) +template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_2")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, bfloat4, 4, dequantize_bf16_t4>; +template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_3")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, bfloat4, 4, dequantize_bf16_t4>; +template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_4")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, bfloat4, 4, dequantize_bf16_t4>; +template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_5")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, bfloat4, 4, dequantize_bf16_t4>; +#endif + template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_2")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, block_q4_0, 32, dequantize_q4_0_t4>; template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_3")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, block_q4_0, 32, dequantize_q4_0_t4>; template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_4")]] kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, block_q4_0, 32, dequantize_q4_0_t4>; @@ -3531,6 +3538,16 @@ template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_3")]] kernel mul_mv_ext_q4x4 template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q6_K, 256, dequantize_q6_K>; template [[host_name("kernel_mul_mv_ext_q6_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q6_K, 256, dequantize_q6_K>; +template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_2")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<2, block_q2_K, 256, dequantize_q2_K>; +template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_3")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<3, block_q2_K, 256, dequantize_q2_K>; +template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q2_K, 256, dequantize_q2_K>; +template [[host_name("kernel_mul_mv_ext_q2_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q2_K, 256, dequantize_q2_K>; + +template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_2")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<2, block_q3_K, 256, dequantize_q3_K>; +template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_3")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<3, block_q3_K, 256, dequantize_q3_K>; +template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_4")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<4, block_q3_K, 256, dequantize_q3_K>; +template [[host_name("kernel_mul_mv_ext_q3_K_f32_r1_5")]] kernel mul_mv_ext_q4x4_f32_t kernel_mul_mv_ext_q4x4_f32_disp<5, block_q3_K, 256, dequantize_q3_K>; + template void kernel_mul_mv_t_t_impl( args_t args,