From a89002f07b55dace8671fc07b2e2418700716992 Mon Sep 17 00:00:00 2001 From: Reese Levine Date: Fri, 16 Jan 2026 16:12:43 -0800 Subject: [PATCH 01/28] ggml webgpu: support for backend sampling (#18880) * ggml webgpu: add SOFTPLUS unary operator Implements SOFTPLUS (log(1 + exp(x))) with f16/f32 support. Uses f32 precision for intermediate calculations to prevent f16 overflow. * Add shader implementation and 4 variants (f32/f16, inplace/non-inplace) * Register pipelines and device support * Follow Vulkan backend numerical stability pattern * ggml webgpu: add EXPM1 unary operator Implements EXPM1 (exp(x) - 1) with f16/f32 support. * Add shader implementation and 4 variants (f32/f16, inplace/non-inplace) * Register pipelines and device support * ggml webgpu: add FLOOR unary operator Implements FLOOR (rounds down to nearest integer) with f16/f32 support. * Add shader implementation and 4 variants (f32/f16, inplace/non-inplace) * Register pipelines and device support * ggml webgpu: add CEIL unary operator Implements CEIL (rounds up to nearest integer) with f16/f32 support. * Add shader implementation and 4 variants (f32/f16, inplace/non-inplace) * Register pipelines and device support * ggml webgpu: add ROUND unary operator Implements ROUND (rounds to nearest integer) with f16/f32 support. * Add shader implementation and 4 variants (f32/f16, inplace/non-inplace) * Register pipelines and device support * ggml webgpu: add TRUNC unary operator Implements TRUNC (truncates towards zero) with f16/f32 support. * Add shader implementation and 4 variants (f32/f16, inplace/non-inplace) * Register pipelines and device support * docs : update WebGPU support for unary operators (FLOOR, CEIL, ROUND, TRUNC, EXPM1, SOFTPLUS) * Updates to webgpu get_memory * Add argmax * Add argmax,cumsum,sum,sum_rows * Add necessary CPY/GET_ROWS operators * Support for argsort using multi-pass strategy * Update set_rows for i32 indices, move to pre-wgsl * Port unary operators to pre-wgsl and support FILL * Implement PAD * Add support for top-k * clean up, scope pipeline init mutex * fix newline * Add support for log * Update LOG for better precision, and ops doc --------- Co-authored-by: Abhijit Ramesh --- docs/ops.md | 33 +- docs/ops/WebGPU.csv | 15267 ++++++++-------- .../ggml-webgpu/ggml-webgpu-shader-lib.hpp | 371 +- ggml/src/ggml-webgpu/ggml-webgpu.cpp | 1029 +- ggml/src/ggml-webgpu/wgsl-shaders/argmax.wgsl | 72 + .../src/ggml-webgpu/wgsl-shaders/argsort.wgsl | 106 + .../wgsl-shaders/argsort_merge.wgsl | 134 + .../ggml-webgpu/wgsl-shaders/cpy.tmpl.wgsl | 6 + ggml/src/ggml-webgpu/wgsl-shaders/cumsum.wgsl | 66 + ggml/src/ggml-webgpu/wgsl-shaders/pad.wgsl | 86 + .../{set_rows.tmpl.wgsl => set_rows.wgsl} | 73 +- .../ggml-webgpu/wgsl-shaders/sum_rows.wgsl | 55 + ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl | 179 + .../ggml-webgpu/wgsl-shaders/unary_op.wgsl | 483 - 14 files changed, 9452 insertions(+), 8508 deletions(-) create mode 100644 ggml/src/ggml-webgpu/wgsl-shaders/argmax.wgsl create mode 100644 ggml/src/ggml-webgpu/wgsl-shaders/argsort.wgsl create mode 100644 ggml/src/ggml-webgpu/wgsl-shaders/argsort_merge.wgsl create mode 100644 ggml/src/ggml-webgpu/wgsl-shaders/cumsum.wgsl create mode 100644 ggml/src/ggml-webgpu/wgsl-shaders/pad.wgsl rename ggml/src/ggml-webgpu/wgsl-shaders/{set_rows.tmpl.wgsl => set_rows.wgsl} (62%) create mode 100644 ggml/src/ggml-webgpu/wgsl-shaders/sum_rows.wgsl create mode 100644 ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl delete mode 100644 ggml/src/ggml-webgpu/wgsl-shaders/unary_op.wgsl diff --git a/docs/ops.md b/docs/ops.md index 8612f8727b..c066ab5a85 100644 --- a/docs/ops.md +++ b/docs/ops.md @@ -20,10 +20,10 @@ Legend: | ADD1 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | ADD_ID | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | | ARANGE | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | -| ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | -| ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ | ❌ | +| ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | +| ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | | CEIL | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | -| CLAMP | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ | ❌ | +| CLAMP | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | | CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | | CONT | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ | | CONV_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | @@ -36,17 +36,17 @@ Legend: | CPY | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | | CROSS_ENTROPY_LOSS | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | CROSS_ENTROPY_LOSS_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | -| CUMSUM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | +| CUMSUM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | | DIAG | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | DIAG_MASK_INF | ❌ | ✅ | ✅ | ✅ | ❌ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | | DIV | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | DUP | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ | | ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | | EXP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | -| EXPM1 | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | -| FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | -| FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ | ❌ | -| FLOOR | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | +| EXPM1 | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | +| FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | +| FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | ❌ | ❌ | +| FLOOR | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | GATED_LINEAR_ATTN | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | | GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | GEGLU_ERF | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | @@ -63,7 +63,7 @@ Legend: | IM2COL_3D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | L2_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | LEAKY_RELU | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | -| LOG | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | +| LOG | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | | MEAN | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | | MUL | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | @@ -73,8 +73,9 @@ Legend: | OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | OPT_STEP_SGD | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | OUT_PROD | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | 🟡 | -| PAD | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ | ❌ | +| PAD | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | | PAD_REFLECT_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | +| POOL_1D | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | | POOL_2D | ❌ | 🟡 | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | REGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | RELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | @@ -85,7 +86,7 @@ Legend: | ROLL | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | ROPE | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | -| ROUND | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | +| ROUND | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | RWKV_WKV6 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | | SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | @@ -96,7 +97,7 @@ Legend: | SILU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ✅ | ❌ | ❌ | | SILU_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | | SIN | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | -| SOFTPLUS | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | +| SOFTPLUS | ❌ | ❌ | ✅ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | | SOFT_MAX | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | | SOFT_MAX_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | ❌ | | SOLVE_TRI | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | @@ -106,14 +107,14 @@ Legend: | SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | | STEP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SUB | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | -| SUM | ❌ | 🟡 | ✅ | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | -| SUM_ROWS | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ | ❌ | +| SUM | ❌ | 🟡 | ✅ | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | 🟡 | ❌ | ❌ | +| SUM_ROWS | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ | | SWIGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | SWIGLU_OAI | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | TANH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ | | TIMESTEP_EMBEDDING | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | -| TOP_K | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | +| TOP_K | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ | | TRI | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | -| TRUNC | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | +| TRUNC | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ | | UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | ❌ | | XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | diff --git a/docs/ops/WebGPU.csv b/docs/ops/WebGPU.csv index 8cd7e12001..72ebea2cd7 100644 --- a/docs/ops/WebGPU.csv +++ b/docs/ops/WebGPU.csv @@ -27,20 +27,20 @@ "WebGPU: WebGPU","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","EXP","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","EXP","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","EXPM1","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","EXPM1","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" +"WebGPU: WebGPU","EXPM1","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","EXPM1","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" +"WebGPU: WebGPU","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","ABS","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ABS","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","SGN","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" @@ -69,20 +69,20 @@ "WebGPU: WebGPU","HARDSIGMOID","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","EXP","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","EXP","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","EXPM1","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","EXPM1","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","EXPM1","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","EXPM1","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SOFTPLUS","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLOOR","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","FLOOR","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","ROUND","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","ROUND","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","ROUND","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROUND","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ABS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","ABS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" @@ -111,20 +111,20 @@ "WebGPU: WebGPU","HARDSIGMOID","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","EXP","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","EXP","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","EXPM1","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","EXPM1","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" +"WebGPU: WebGPU","EXPM1","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","EXPM1","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLOOR","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","FLOOR","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","ROUND","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","ROUND","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","WebGPU" +"WebGPU: WebGPU","ROUND","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROUND","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","ABS","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","ABS","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","SGN","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" @@ -153,20 +153,20 @@ "WebGPU: WebGPU","HARDSIGMOID","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","EXP","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","EXP","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","EXPM1","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","EXPM1","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","EXPM1","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","EXPM1","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SOFTPLUS","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","FLOOR","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","FLOOR","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","ROUND","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","ROUND","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","ROUND","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROUND","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","REGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","1","yes","WebGPU" "WebGPU: WebGPU","REGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","1","yes","WebGPU" "WebGPU: WebGPU","REGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","1","yes","WebGPU" @@ -394,10 +394,10 @@ "WebGPU: WebGPU","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","GET_ROWS","type=iq4_xs,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=i32,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","GET_ROWS","type=i32,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","GET_ROWS_BACK","type=f32,n=1,m=8,r=2,b=1,v=0","support","0","no","WebGPU" "WebGPU: WebGPU","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=0","support","0","no","WebGPU" "WebGPU: WebGPU","GET_ROWS_BACK","type=f32,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU" @@ -447,29 +447,29 @@ "WebGPU: WebGPU","GET_ROWS_BACK","type=iq4_xs,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU" "WebGPU: WebGPU","GET_ROWS_BACK","type=i32,n=256,m=5,r=4,b=1,v=0","support","0","no","WebGPU" "WebGPU: WebGPU","GET_ROWS_BACK","type=i32,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[1,8,1,3],nr23=[1,1],r=2,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i32,ne=[1,8,1,3],nr23=[1,1],r=2,v=0","support","0","no","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[1,8,1,3],nr23=[1,1],r=2,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i32,ne=[1,8,1,3],nr23=[1,1],r=2,v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","SET_ROWS","type=q8_0,type_idx=i32,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=0","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU" -"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=1","support","0","no","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","WebGPU" +"WebGPU: WebGPU","SET_ROWS","type=f32,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=1","support","1","yes","WebGPU" "WebGPU: WebGPU","SET_ROWS","type=f16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","SET_ROWS","type=f16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","WebGPU" "WebGPU: WebGPU","SET_ROWS","type=f16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","WebGPU" @@ -878,6 +878,54 @@ "WebGPU: WebGPU","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","0","no","WebGPU" "WebGPU: WebGPU","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","0","no","WebGPU" "WebGPU: WebGPU","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","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","WebGPU" +"WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","WebGPU" "WebGPU: WebGPU","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","0","no","WebGPU" "WebGPU: WebGPU","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","0","no","WebGPU" "WebGPU: WebGPU","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","0","no","WebGPU" @@ -4968,13 +5016,13 @@ "WebGPU: WebGPU","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","WebGPU" "WebGPU: WebGPU","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","ARGMAX","type=f32,ne=[32,1,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","ARGMAX","type=f32,ne=[32,513,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","ARGMAX","type=f32,ne=[100,10,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","ARGMAX","type=f32,ne=[1024,10,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","ARGMAX","type=f32,ne=[1024,12,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","ARGMAX","type=f32,ne=[2000,10,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","ARGMAX","type=f32,ne=[5438,3,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","ARGMAX","type=f32,ne=[32,513,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","ARGMAX","type=f32,ne=[100,10,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","ARGMAX","type=f32,ne=[1024,10,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","ARGMAX","type=f32,ne=[1024,12,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","ARGMAX","type=f32,ne=[2000,10,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","ARGMAX","type=f32,ne=[5438,3,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,1,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[2,1,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","REPEAT","type=f32,ne=[10,5,4,1],nr=[1,2,1,1]","support","0","no","WebGPU" @@ -5410,8 +5458,8 @@ "WebGPU: WebGPU","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CPY","type_src=f32,type_dst=f16,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU" -"WebGPU: WebGPU","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU" -"WebGPU: WebGPU","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU" +"WebGPU: WebGPU","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","CPY","type_src=f32,type_dst=i32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","WebGPU" "WebGPU: WebGPU","CPY","type_src=i32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU" "WebGPU: WebGPU","CPY","type_src=i32,type_dst=f32,ne=[256,2,3,4],permute_src=[1,0,2,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU" "WebGPU: WebGPU","CPY","type_src=f16,type_dst=f16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","WebGPU" @@ -5697,26 +5745,49 @@ "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000000","support","0","no","WebGPU" "WebGPU: WebGPU","L2_NORM","type=f32,ne=[64,5,4,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000","support","0","no","WebGPU" +"WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000000,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000","support","0","no","WebGPU" +"WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000000,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000000","support","0","no","WebGPU" +"WebGPU: WebGPU","L2_NORM","type=f32,ne=[1025,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001","support","0","no","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001","support","0","no","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000001","support","0","no","WebGPU" "WebGPU: WebGPU","L2_NORM","type=f32,ne=[64,5,4,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001","support","0","no","WebGPU" +"WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000001,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001","support","0","no","WebGPU" +"WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000001,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000001","support","0","no","WebGPU" +"WebGPU: WebGPU","L2_NORM","type=f32,ne=[1025,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100","support","0","no","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100","support","0","no","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.000100","support","0","no","WebGPU" "WebGPU: WebGPU","L2_NORM","type=f32,ne=[64,5,4,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100","support","0","no","WebGPU" +"WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.000100,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100","support","0","no","WebGPU" +"WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.000100,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.000100","support","0","no","WebGPU" +"WebGPU: WebGPU","L2_NORM","type=f32,ne=[1025,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000","support","0","no","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000","support","0","no","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","WebGPU" "WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[64,5,4,3],eps=0.100000","support","0","no","WebGPU" "WebGPU: WebGPU","L2_NORM","type=f32,ne=[64,5,4,3]","support","0","no","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000","support","0","no","WebGPU" +"WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=0,eps=0.100000,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000","support","0","no","WebGPU" +"WebGPU: WebGPU","RMS_NORM","type=f32,ne=[1025,5,4,3],v=1,eps=0.100000,inplace=0","support","1","yes","WebGPU" +"WebGPU: WebGPU","RMS_NORM_BACK","type=f32,ne=[1025,5,4,3],eps=0.100000","support","0","no","WebGPU" +"WebGPU: WebGPU","L2_NORM","type=f32,ne=[1025,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","RMS_NORM","type=f32,ne=[64,5,4,3],v=0,eps=0.000001,inplace=1","support","1","yes","WebGPU" -"WebGPU: WebGPU","L2_NORM","type=f32,ne=[64,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[3,1024,4,1],ne_b=[3,1024,1,1]","support","0","no","WebGPU" @@ -6603,6 +6674,30 @@ "WebGPU: 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WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" "WebGPU: WebGPU","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","WebGPU" "WebGPU: 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-"WebGPU: WebGPU","FLOOR","type=f32,ne=[1024,1024,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU" "WebGPU: WebGPU","CEIL","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU" -"WebGPU: WebGPU","ROUND","type=f32,ne=[7,1,5,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","ROUND","type=f32,ne=[1024,1024,1,1]","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f32,ne=[7,1,5,3]","support","0","no","WebGPU" -"WebGPU: WebGPU","TRUNC","type=f32,ne=[1024,1024,1,1]","support","0","no","WebGPU" +"WebGPU: WebGPU","ROUND","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU" +"WebGPU: WebGPU","ROUND","type=f32,ne=[1024,1024,1,1]","support","1","yes","WebGPU" +"WebGPU: WebGPU","TRUNC","type=f32,ne=[7,1,5,3]","support","1","yes","WebGPU" +"WebGPU: 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WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" "WebGPU: WebGPU","SOFT_MAX_BACK","type=f32,ne=[16,16,1,1],scale=1.000000,max_bias=0.000000","support","0","no","WebGPU" "WebGPU: WebGPU","SOFT_MAX_BACK","type=f32,ne=[15,15,1,1],scale=1.000000,max_bias=0.000000","support","0","no","WebGPU" "WebGPU: WebGPU","SOFT_MAX_BACK","type=f32,ne=[16,16,2,3],scale=1.000000,max_bias=0.000000","support","0","no","WebGPU" @@ -9485,405 +9583,405 @@ "WebGPU: WebGPU","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","0","no","WebGPU" "WebGPU: 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WebGPU","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","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" "WebGPU: WebGPU","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","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" "WebGPU: WebGPU","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","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" "WebGPU: WebGPU","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","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","0","no","WebGPU" -"WebGPU: WebGPU","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","WebGPU" -"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" "WebGPU: WebGPU","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","WebGPU" -"WebGPU: WebGPU","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","WebGPU" -"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" +"WebGPU: WebGPU","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","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS","type=f32,ne=[30000,1,1,1]","support","0","no","WebGPU" "WebGPU: WebGPU","CROSS_ENTROPY_LOSS_BACK","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU" diff --git a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp index 7fdb4c8c8d..84d88e81d4 100644 --- a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp +++ b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp @@ -9,12 +9,28 @@ #define GGML_WEBGPU_F16_SIZE_BYTES 2 #define GGML_WEBGPU_F32_SIZE_BYTES 4 +#define GGML_WEBGPU_I32_SIZE_BYTES 4 #define GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES 8u #define GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE 128u // Matches GGML_PAD(..., 256) in src/llama-context.cpp for KV cache sizing. #define GGML_WEBGPU_KV_SEQ_PAD 256u -struct ggml_webgpu_flash_attn_shader_lib_context { +#define GGML_WEBGPU_ARGSORT_MERGE_MAX_WG_SIZE 512u + +struct ggml_webgpu_processed_shader { + std::string wgsl; + std::string variant; + void * decisions; +}; + +// Same hash combine function as in boost +template inline void ggml_webgpu_hash_combine(size_t & seed, const T & value) { + seed ^= std::hash{}(value) + 0x9e3779b9 + (seed << 6) + (seed >> 2); +} + +/** FlashAttention */ + +struct ggml_webgpu_flash_attn_pipeline_key { ggml_type kv_type; uint32_t head_dim_qk; uint32_t head_dim_v; @@ -22,11 +38,35 @@ struct ggml_webgpu_flash_attn_shader_lib_context { bool has_mask; bool has_sinks; bool uses_logit_softcap; - uint32_t sg_mat_m; - uint32_t sg_mat_n; - uint32_t sg_mat_k; - size_t wg_mem_limit_bytes; - uint32_t max_subgroup_size; + + bool operator==(const ggml_webgpu_flash_attn_pipeline_key & other) const { + return kv_type == other.kv_type && head_dim_qk == other.head_dim_qk && head_dim_v == other.head_dim_v && + kv_direct == other.kv_direct && has_mask == other.has_mask && has_sinks == other.has_sinks && + uses_logit_softcap == other.uses_logit_softcap; + } +}; + +struct ggml_webgpu_flash_attn_pipeline_key_hash { + size_t operator()(const ggml_webgpu_flash_attn_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.kv_type); + ggml_webgpu_hash_combine(seed, key.head_dim_qk); + ggml_webgpu_hash_combine(seed, key.head_dim_v); + ggml_webgpu_hash_combine(seed, key.kv_direct); + ggml_webgpu_hash_combine(seed, key.has_mask); + ggml_webgpu_hash_combine(seed, key.has_sinks); + ggml_webgpu_hash_combine(seed, key.uses_logit_softcap); + return seed; + } +}; + +struct ggml_webgpu_flash_attn_shader_lib_context { + ggml_webgpu_flash_attn_pipeline_key key; + uint32_t sg_mat_m; + uint32_t sg_mat_n; + uint32_t sg_mat_k; + size_t wg_mem_limit_bytes; + uint32_t max_subgroup_size; }; struct ggml_webgpu_flash_attn_shader_decisions { @@ -35,12 +75,6 @@ struct ggml_webgpu_flash_attn_shader_decisions { uint32_t wg_size = 0; }; -struct ggml_webgpu_processed_shader { - std::string wgsl; - std::string variant; - ggml_webgpu_flash_attn_shader_decisions decisions; -}; - // This is exposed because it's necessary in supports_op inline size_t ggml_webgpu_flash_attn_wg_mem_bytes(uint32_t q_tile, uint32_t kv_tile, @@ -66,15 +100,16 @@ inline size_t ggml_webgpu_flash_attn_wg_mem_bytes(uint32_t q_tile, } static uint32_t ggml_webgpu_flash_attn_max_kv_tile(const ggml_webgpu_flash_attn_shader_lib_context & context) { - const size_t limit_bytes = context.wg_mem_limit_bytes; - const size_t q_tile = context.sg_mat_m; - const size_t base_q_bytes = (context.head_dim_qk + context.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES + - 2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES; + const size_t limit_bytes = context.wg_mem_limit_bytes; + const size_t q_tile = context.sg_mat_m; + const size_t base_q_bytes = + (context.key.head_dim_qk + context.key.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES + + 2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES; size_t bytes_per_kv = 0; - if (!context.kv_direct) { - bytes_per_kv += std::max(context.head_dim_qk, context.head_dim_v); + if (!context.key.kv_direct) { + bytes_per_kv += std::max(context.key.head_dim_qk, context.key.head_dim_v); } - if (context.has_mask) { + if (context.key.has_mask) { bytes_per_kv += q_tile; } bytes_per_kv += q_tile; @@ -90,7 +125,7 @@ inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_flash_attn_shader( std::vector defines; std::string variant = "flash_attn"; - switch (context.kv_type) { + switch (context.key.kv_type) { case GGML_TYPE_F32: defines.push_back("KV_F32"); break; @@ -106,32 +141,31 @@ inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_flash_attn_shader( default: GGML_ABORT("Unsupported KV type for flash attention shader"); } - variant += std::string("_") + ggml_type_name(context.kv_type); + variant += std::string("_") + ggml_type_name(context.key.kv_type); - if (context.has_mask) { + if (context.key.has_mask) { defines.push_back("MASK"); variant += "_mask"; } - if (context.has_sinks) { + if (context.key.has_sinks) { defines.push_back("SINKS"); variant += "_sinks"; } - if (context.uses_logit_softcap) { + if (context.key.uses_logit_softcap) { defines.push_back("LOGIT_SOFTCAP"); variant += "_lgsc"; } - if (context.kv_direct) { + if (context.key.kv_direct) { defines.push_back("KV_DIRECT"); variant += "_kvdirect"; } - defines.push_back(std::string("HEAD_DIM_QK=") + std::to_string(context.head_dim_qk)); - variant += std::string("_hsqk") + std::to_string(context.head_dim_qk); - - defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(context.head_dim_v)); - variant += std::string("_hsv") + std::to_string(context.head_dim_v); + defines.push_back(std::string("HEAD_DIM_QK=") + std::to_string(context.key.head_dim_qk)); + variant += std::string("_hsqk") + std::to_string(context.key.head_dim_qk); + defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(context.key.head_dim_v)); + variant += std::string("_hsv") + std::to_string(context.key.head_dim_v); // For now these are not part of the variant name defines.push_back(std::string("SG_MAT_M=") + std::to_string(context.sg_mat_m)); defines.push_back(std::string("SG_MAT_N=") + std::to_string(context.sg_mat_n)); @@ -141,7 +175,7 @@ inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_flash_attn_shader( uint32_t q_tile = context.sg_mat_m; uint32_t kv_tile = std::min(ggml_webgpu_flash_attn_max_kv_tile(context), context.sg_mat_n * GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES); - if (context.kv_direct) { + if (context.key.kv_direct) { GGML_ASSERT(kv_tile <= GGML_WEBGPU_KV_SEQ_PAD); // Avoids having to use bounds-checks and decreasing performance for direct KV loads while (GGML_WEBGPU_KV_SEQ_PAD % kv_tile != 0) { @@ -158,11 +192,276 @@ inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_flash_attn_shader( defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size)); ggml_webgpu_processed_shader result; - result.wgsl = preprocessor.preprocess(shader_src, defines); - result.variant = variant; - result.decisions.q_tile = q_tile; - result.decisions.kv_tile = kv_tile; - result.decisions.wg_size = wg_size; + result.wgsl = preprocessor.preprocess(shader_src, defines); + result.variant = variant; + ggml_webgpu_flash_attn_shader_decisions * decisions = new ggml_webgpu_flash_attn_shader_decisions(); + decisions->q_tile = q_tile; + decisions->kv_tile = kv_tile; + decisions->wg_size = wg_size; + result.decisions = decisions; + return result; +} + +/** Generic **/ + +struct ggml_webgpu_generic_shader_lib_context { + int vec4; + uint32_t max_wg_size; +}; + +struct ggml_webgpu_generic_shader_decisions { + uint32_t wg_size; +}; + +inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_generic_shader( + pre_wgsl::Preprocessor & preprocessor, + const char * shader_src, + const ggml_webgpu_generic_shader_lib_context & context, + const std::string & base_variant) { + std::vector defines; + std::string variant = base_variant; + + if (context.vec4) { + defines.push_back("VEC4"); + variant += "_vec"; + } + + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); + + ggml_webgpu_processed_shader result; + result.wgsl = preprocessor.preprocess(shader_src, defines); + result.variant = variant; + return result; +} + +/** Pad **/ + +struct ggml_webgpu_pad_pipeline_key { + bool circular; + + bool operator==(const ggml_webgpu_pad_pipeline_key & other) const { return circular == other.circular; } +}; + +struct ggml_webgpu_pad_pipeline_key_hash { + size_t operator()(const ggml_webgpu_pad_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.circular); + return seed; + } +}; + +struct ggml_webgpu_pad_shader_lib_context { + ggml_webgpu_pad_pipeline_key key; + uint32_t max_wg_size; +}; + +inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_pad_shader( + pre_wgsl::Preprocessor & preprocessor, + const char * shader_src, + const ggml_webgpu_pad_shader_lib_context & context) { + std::vector defines; + std::string variant = "pad"; + + if (context.key.circular) { + defines.push_back("CIRCULAR"); + variant += "_circular"; + } + + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); + + ggml_webgpu_processed_shader result; + result.wgsl = preprocessor.preprocess(shader_src, defines); + result.variant = variant; + ggml_webgpu_generic_shader_decisions * decisions = new ggml_webgpu_generic_shader_decisions(); + decisions->wg_size = context.max_wg_size; + result.decisions = decisions; + return result; +} + +/** Argsort **/ + +struct ggml_webgpu_argsort_shader_lib_context { + uint32_t max_wg_size; + size_t wg_mem_limit_bytes; + int32_t order; +}; + +struct ggml_webgpu_argsort_shader_decisions { + uint32_t wg_size = 0; +}; + +inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_argsort_shader( + pre_wgsl::Preprocessor & preprocessor, + const char * shader_src, + const ggml_webgpu_argsort_shader_lib_context & context) { + std::vector defines; + std::string variant = "argsort"; + defines.push_back(std::string("ORDER=") + std::to_string(context.order)); + variant += std::string("_order") + std::to_string(context.order); + uint32_t wg_size = 1; + while (wg_size * 2 <= context.max_wg_size && + wg_size * GGML_WEBGPU_I32_SIZE_BYTES <= context.wg_mem_limit_bytes / 2) { + wg_size *= 2; + } + defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size)); + ggml_webgpu_processed_shader result; + result.wgsl = preprocessor.preprocess(shader_src, defines); + result.variant = variant; + ggml_webgpu_argsort_shader_decisions * decisions = new ggml_webgpu_argsort_shader_decisions(); + decisions->wg_size = wg_size; + result.decisions = decisions; + return result; +} + +inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_argsort_merge_shader( + pre_wgsl::Preprocessor & preprocessor, + const char * shader_src, + const ggml_webgpu_argsort_shader_lib_context & context) { + std::vector defines; + std::string variant = "argsort_merge"; + defines.push_back(std::string("ORDER=") + std::to_string(context.order)); + variant += std::string("_order") + std::to_string(context.order); + uint32_t wg_size = std::min(GGML_WEBGPU_ARGSORT_MERGE_MAX_WG_SIZE, context.max_wg_size); + defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size)); + ggml_webgpu_processed_shader result; + result.wgsl = preprocessor.preprocess(shader_src, defines); + result.variant = variant; + ggml_webgpu_argsort_shader_decisions * decisions = new ggml_webgpu_argsort_shader_decisions(); + decisions->wg_size = wg_size; + result.decisions = decisions; + return result; +} + +/** Set Rows **/ + +struct ggml_webgpu_set_rows_pipeline_key { + int dst_type; + int vec4; + int i64_idx; + + bool operator==(const ggml_webgpu_set_rows_pipeline_key & other) const { + return dst_type == other.dst_type && vec4 == other.vec4 && i64_idx == other.i64_idx; + } +}; + +struct ggml_webgpu_set_rows_pipeline_key_hash { + size_t operator()(const ggml_webgpu_set_rows_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.dst_type); + ggml_webgpu_hash_combine(seed, key.vec4); + ggml_webgpu_hash_combine(seed, key.i64_idx); + return seed; + } +}; + +struct ggml_webgpu_set_rows_shader_lib_context { + ggml_webgpu_set_rows_pipeline_key key; + uint32_t max_wg_size; +}; + +inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_set_rows_shader( + pre_wgsl::Preprocessor & preprocessor, + const char * shader_src, + const ggml_webgpu_set_rows_shader_lib_context & context) { + std::vector defines; + std::string variant = "set_rows"; + + switch (context.key.dst_type) { + case GGML_TYPE_F32: + defines.push_back("DST_F32"); + variant += "_dstf32"; + break; + case GGML_TYPE_F16: + defines.push_back("DST_F16"); + variant += "_dstf16"; + break; + default: + GGML_ABORT("Unsupported dst type for set_rows shader"); + } + + if (context.key.vec4) { + defines.push_back("VEC4"); + variant += "_vec"; + } + if (context.key.i64_idx) { + defines.push_back("I64_IDX"); + variant += "_i64idx"; + } + + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); + + ggml_webgpu_processed_shader result; + result.wgsl = preprocessor.preprocess(shader_src, defines); + result.variant = variant; + ggml_webgpu_generic_shader_decisions * decisions = new ggml_webgpu_generic_shader_decisions(); + decisions->wg_size = context.max_wg_size; + result.decisions = decisions; + return result; +} + +struct ggml_webgpu_unary_pipeline_key { + int type; + int op; + bool is_unary; // many unary operators fall under the GGML_OP_UNARY umbrella + bool inplace; + + bool operator==(const ggml_webgpu_unary_pipeline_key & other) const { + return type == other.type && op == other.op && is_unary == other.is_unary && inplace == other.inplace; + } +}; + +struct ggml_webgpu_unary_pipeline_key_hash { + size_t operator()(const ggml_webgpu_unary_pipeline_key & key) const { + size_t seed = 0; + ggml_webgpu_hash_combine(seed, key.type); + ggml_webgpu_hash_combine(seed, key.op); + ggml_webgpu_hash_combine(seed, key.is_unary); + ggml_webgpu_hash_combine(seed, key.inplace); + return seed; + } +}; + +struct ggml_webgpu_unary_shader_lib_context { + ggml_webgpu_unary_pipeline_key key; + uint32_t max_wg_size; +}; + +inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_unary_shader( + pre_wgsl::Preprocessor & preprocessor, + const char * shader_src, + const ggml_webgpu_unary_shader_lib_context & context) { + std::vector defines; + std::string variant = context.key.is_unary ? ggml_unary_op_name((ggml_unary_op) context.key.op) : + ggml_op_name((ggml_op) context.key.op); + // Operation-specific behavior + defines.push_back(variant); + + switch (context.key.type) { + case GGML_TYPE_F32: + defines.push_back("TYPE_F32"); + variant += "_f32"; + break; + case GGML_TYPE_F16: + defines.push_back("TYPE_F16"); + variant += "_f16"; + break; + default: + GGML_ABORT("Unsupported type for unary shader"); + } + + if (context.key.inplace) { + defines.push_back("INPLACE"); + variant += "_inplace"; + } + + defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size)); + + ggml_webgpu_processed_shader result; + result.wgsl = preprocessor.preprocess(shader_src, defines); + result.variant = variant; + ggml_webgpu_generic_shader_decisions * decisions = new ggml_webgpu_generic_shader_decisions(); + decisions->wg_size = context.max_wg_size; + result.decisions = decisions; return result; } diff --git a/ggml/src/ggml-webgpu/ggml-webgpu.cpp b/ggml/src/ggml-webgpu/ggml-webgpu.cpp index 5b8f7f72d5..1470378af0 100644 --- a/ggml/src/ggml-webgpu/ggml-webgpu.cpp +++ b/ggml/src/ggml-webgpu/ggml-webgpu.cpp @@ -259,7 +259,7 @@ struct webgpu_pipeline { struct webgpu_command { wgpu::CommandBuffer commands; - webgpu_pool_bufs params_bufs; + std::vector params_bufs; std::optional set_rows_error_bufs; #ifdef GGML_WEBGPU_GPU_PROFILE webgpu_gpu_profile_bufs timestamp_query_bufs; @@ -267,46 +267,6 @@ struct webgpu_command { #endif }; -struct flash_attn_pipeline_key { - int q_type; - int kv_type; - int dst_type; - uint32_t head_dim_qk; - uint32_t head_dim_v; - bool kv_direct; - bool has_mask; - bool has_sinks; - bool uses_logit_softcap; - - bool operator==(const flash_attn_pipeline_key & other) const { - return q_type == other.q_type && kv_type == other.kv_type && dst_type == other.dst_type && - head_dim_qk == other.head_dim_qk && head_dim_v == other.head_dim_v && kv_direct == other.kv_direct && - has_mask == other.has_mask && has_sinks == other.has_sinks && - uses_logit_softcap == other.uses_logit_softcap; - } -}; - -// Same hash combine function as in boost -template inline void ggml_webgpu_hash_combine(size_t & seed, const T & value) { - seed ^= std::hash{}(value) + 0x9e3779b9 + (seed << 6) + (seed >> 2); -} - -struct flash_attn_pipeline_key_hash { - size_t operator()(const flash_attn_pipeline_key & key) const { - size_t seed = 0; - ggml_webgpu_hash_combine(seed, key.q_type); - ggml_webgpu_hash_combine(seed, key.kv_type); - ggml_webgpu_hash_combine(seed, key.dst_type); - ggml_webgpu_hash_combine(seed, key.head_dim_qk); - ggml_webgpu_hash_combine(seed, key.head_dim_v); - ggml_webgpu_hash_combine(seed, key.kv_direct); - ggml_webgpu_hash_combine(seed, key.has_mask); - ggml_webgpu_hash_combine(seed, key.has_sinks); - ggml_webgpu_hash_combine(seed, key.uses_logit_softcap); - return seed; - } -}; - // All the base objects needed to run operations on a WebGPU device struct webgpu_context_struct { wgpu::Instance instance; @@ -336,9 +296,17 @@ struct webgpu_context_struct { std::map>> mul_mat_vec_pipelines; // src0_type, src1_type, vectorized - std::unordered_map flash_attn_pipelines; + std::unordered_map + flash_attn_pipelines; - std::map> set_rows_pipelines; // dst_type, vectorized + std::unordered_map argmax_pipelines; // key is vec4 + std::unordered_map argsort_pipelines; // key is order (asc/desc) + std::unordered_map argsort_merge_pipelines; // key is order (asc/desc) + std::unordered_map cumsum_pipelines; // key is fixed, no variants yet + std::unordered_map sum_rows_pipelines; // key is fixed, no variants yet + + std::unordered_map + set_rows_pipelines; std::map> get_rows_pipelines; // src_type, vectorized std::map> cpy_pipelines; // src_type, dst_type @@ -352,7 +320,9 @@ struct webgpu_context_struct { std::map>> glu_pipelines; // glu_op, type, split std::map scale_pipelines; // inplace std::map>> soft_max_pipelines; // mask_type, has_sink, inplace - std::map>> unary_pipelines; // unary_op, type, inplace + std::unordered_map + unary_pipelines; + std::unordered_map pad_pipelines; size_t memset_bytes_per_thread; @@ -547,7 +517,7 @@ static webgpu_submission_futures ggml_backend_webgpu_submit(webgpu_context ctx, for (const auto & command : commands) { command_buffers.push_back(command.commands); - params_bufs.push_back(command.params_bufs); + params_bufs.insert(params_bufs.end(), command.params_bufs.begin(), command.params_bufs.end()); if (command.set_rows_error_bufs) { set_rows_error_bufs.push_back(command.set_rows_error_bufs.value()); } @@ -563,7 +533,7 @@ static webgpu_submission_futures ggml_backend_webgpu_submit(webgpu_context ctx, GGML_LOG_ERROR("ggml_webgpu: Failed to submit commands: %s\n", std::string(message).c_str()); } // Free the staged buffers - ctx->param_buf_pool.free_bufs({ params_bufs }); + ctx->param_buf_pool.free_bufs(params_bufs); }); futures.push_back({ p_f }); @@ -610,42 +580,60 @@ static webgpu_submission_futures ggml_backend_webgpu_submit(webgpu_context ctx, return { futures }; } -static webgpu_command ggml_backend_webgpu_build(webgpu_context & ctx, - webgpu_pipeline & pipeline, - std::vector params, - std::vector bind_group_entries, - uint32_t wg_x, - uint32_t wg_y = 1, - std::optional set_rows_error_bufs = std::nullopt) { - webgpu_pool_bufs params_bufs = ctx->param_buf_pool.alloc_bufs(); +static webgpu_command ggml_backend_webgpu_build_multi( + webgpu_context & ctx, + const std::vector & pipelines, + const std::vector> & params_list, + const std::vector> & bind_group_entries_list, + const std::vector> & workgroups_list, + const std::optional & set_rows_error_bufs = std::nullopt) { + GGML_ASSERT(pipelines.size() == params_list.size()); + GGML_ASSERT(pipelines.size() == bind_group_entries_list.size()); + GGML_ASSERT(pipelines.size() == workgroups_list.size()); - ggml_backend_webgpu_map_buffer(ctx, params_bufs.host_buf, wgpu::MapMode::Write, 0, params_bufs.host_buf.GetSize()); - uint32_t * _params = (uint32_t *) params_bufs.host_buf.GetMappedRange(); - for (size_t i = 0; i < params.size(); i++) { - _params[i] = params[i]; - }; + std::vector params_bufs_list; + std::vector bind_groups; - params_bufs.host_buf.Unmap(); + for (size_t i = 0; i < pipelines.size(); i++) { + webgpu_pool_bufs params_bufs = ctx->param_buf_pool.alloc_bufs(); - uint32_t params_bufs_binding_num = bind_group_entries.size(); - bind_group_entries.push_back({ .binding = params_bufs_binding_num, - .buffer = params_bufs.dev_buf, - .offset = 0, - .size = params_bufs.dev_buf.GetSize() }); + ggml_backend_webgpu_map_buffer(ctx, params_bufs.host_buf, wgpu::MapMode::Write, 0, + params_bufs.host_buf.GetSize()); + uint32_t * _params = (uint32_t *) params_bufs.host_buf.GetMappedRange(); + for (size_t j = 0; j < params_list[i].size(); j++) { + _params[j] = params_list[i][j]; + } + params_bufs.host_buf.Unmap(); - wgpu::BindGroupDescriptor bind_group_desc; - bind_group_desc.layout = pipeline.pipeline.GetBindGroupLayout(0); - bind_group_desc.entryCount = bind_group_entries.size(); - bind_group_desc.entries = bind_group_entries.data(); - bind_group_desc.label = pipeline.name.c_str(); - wgpu::BindGroup bind_group = ctx->device.CreateBindGroup(&bind_group_desc); + std::vector entries = bind_group_entries_list[i]; + uint32_t params_binding_num = entries.size(); + entries.push_back({ .binding = params_binding_num, + .buffer = params_bufs.dev_buf, + .offset = 0, + .size = params_bufs.dev_buf.GetSize() }); + + wgpu::BindGroupDescriptor bind_group_desc; + bind_group_desc.layout = pipelines[i].pipeline.GetBindGroupLayout(0); + bind_group_desc.entryCount = entries.size(); + bind_group_desc.entries = entries.data(); + bind_group_desc.label = pipelines[i].name.c_str(); + bind_groups.push_back(ctx->device.CreateBindGroup(&bind_group_desc)); + + params_bufs_list.push_back(params_bufs); + } wgpu::CommandEncoder encoder = ctx->device.CreateCommandEncoder(); - encoder.CopyBufferToBuffer(params_bufs.host_buf, 0, params_bufs.dev_buf, 0, params_bufs.dev_buf.GetSize()); + for (const auto & params_bufs : params_bufs_list) { + encoder.CopyBufferToBuffer(params_bufs.host_buf, 0, params_bufs.dev_buf, 0, params_bufs.dev_buf.GetSize()); + } + + // If there are SET_ROWS operations in this submission, copy their error buffers to the host. + if (set_rows_error_bufs) { + encoder.CopyBufferToBuffer(set_rows_error_bufs->dev_buf, 0, set_rows_error_bufs->host_buf, 0, + set_rows_error_bufs->host_buf.GetSize()); + } #ifdef GGML_WEBGPU_GPU_PROFILE - // --- Profiling: GPU timestamp queries --- - // Allocate a timestamp query buffer (2 timestamps: start/end) webgpu_gpu_profile_bufs ts_bufs = ctx->timestamp_query_buf_pool.alloc_bufs(); if (ts_bufs.host_buf.GetMapState() == wgpu::BufferMapState::Mapped) { ts_bufs.host_buf.Unmap(); @@ -659,35 +647,45 @@ static webgpu_command ggml_backend_webgpu_build(webgpu_context & #else wgpu::ComputePassEncoder pass = encoder.BeginComputePass(); #endif - pass.SetPipeline(pipeline.pipeline); - pass.SetBindGroup(0, bind_group); - pass.DispatchWorkgroups(wg_x, wg_y, 1); + for (size_t i = 0; i < pipelines.size(); i++) { + pass.SetPipeline(pipelines[i].pipeline); + pass.SetBindGroup(0, bind_groups[i]); + pass.DispatchWorkgroups(workgroups_list[i].first, workgroups_list[i].second, 1); + } pass.End(); #ifdef GGML_WEBGPU_GPU_PROFILE - // Resolve the query set into the device buffer encoder.ResolveQuerySet(ts_bufs.query_set, 0, 2, ts_bufs.dev_buf, 0); encoder.CopyBufferToBuffer(ts_bufs.dev_buf, 0, ts_bufs.host_buf, 0, ts_bufs.host_buf.GetSize()); #endif - // If there are SET_ROWS operations in this submission, copy their error buffers to the host. - if (set_rows_error_bufs) { - encoder.CopyBufferToBuffer(set_rows_error_bufs->dev_buf, 0, set_rows_error_bufs->host_buf, 0, - set_rows_error_bufs->host_buf.GetSize()); - } - wgpu::CommandBuffer commands = encoder.Finish(); webgpu_command result = {}; result.commands = commands; - result.params_bufs = params_bufs; + result.params_bufs = params_bufs_list; result.set_rows_error_bufs = set_rows_error_bufs; #ifdef GGML_WEBGPU_GPU_PROFILE result.timestamp_query_bufs = ts_bufs; - result.pipeline_name = pipeline.name; + // TODO: handle multiple pipeline names + result.pipeline_name = pipelines.front().name; #endif return result; } +static webgpu_command ggml_backend_webgpu_build(webgpu_context & ctx, + webgpu_pipeline & pipeline, + std::vector params, + std::vector bind_group_entries, + uint32_t wg_x, + uint32_t wg_y = 1, + std::optional set_rows_error_bufs = std::nullopt) { + return ggml_backend_webgpu_build_multi(ctx, + { + pipeline + }, + { params }, { bind_group_entries }, { { wg_x, wg_y } }, set_rows_error_bufs); +} + static void ggml_backend_webgpu_buffer_memset(webgpu_context & ctx, wgpu::Buffer & buf, uint32_t value, @@ -823,6 +821,79 @@ static webgpu_command ggml_webgpu_cpy(webgpu_context & ctx, ggml_tensor * src, g return ggml_backend_webgpu_build(ctx, ctx->cpy_pipelines[src->type][dst->type], params, entries, wg_x); } +static webgpu_command ggml_webgpu_pad(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { + const bool circular = ggml_get_op_params_i32(dst, 8) != 0; + + ggml_webgpu_pad_pipeline_key pipeline_key = { .circular = circular }; + ggml_webgpu_pad_shader_lib_context shader_lib_ctx = { .key = pipeline_key, + .max_wg_size = + ctx->limits.maxComputeInvocationsPerWorkgroup }; + + webgpu_pipeline pipeline; + { + // TODO: remove guard once pipeline caches are per-thread + std::lock_guard lock(ctx->mutex); + auto it = ctx->pad_pipelines.find(pipeline_key); + if (it != ctx->pad_pipelines.end()) { + pipeline = it->second; + } else { + ggml_webgpu_processed_shader processed = + ggml_webgpu_preprocess_pad_shader(ctx->p, wgsl_pad, shader_lib_ctx); + pipeline = ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); + pipeline.context = processed.decisions; + ctx->pad_pipelines.emplace(pipeline_key, pipeline); + } + } + + ggml_webgpu_generic_shader_decisions decisions = + *static_cast(pipeline.context); + + const uint32_t ne = (uint32_t) ggml_nelements(dst); + + std::vector params = { + ne, + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + // Strides (in elements) + (uint32_t) (src->nb[0] / ggml_type_size(src->type)), + (uint32_t) (src->nb[1] / ggml_type_size(src->type)), + (uint32_t) (src->nb[2] / ggml_type_size(src->type)), + (uint32_t) (src->nb[3] / ggml_type_size(src->type)), + // Shapes + (uint32_t) src->ne[0], + (uint32_t) src->ne[1], + (uint32_t) src->ne[2], + (uint32_t) src->ne[3], + (uint32_t) dst->ne[0], + (uint32_t) dst->ne[1], + (uint32_t) dst->ne[2], + (uint32_t) dst->ne[3], + // Pad sizes + (uint32_t) ggml_get_op_params_i32(dst, 0), + (uint32_t) ggml_get_op_params_i32(dst, 1), + (uint32_t) ggml_get_op_params_i32(dst, 2), + (uint32_t) ggml_get_op_params_i32(dst, 3), + (uint32_t) ggml_get_op_params_i32(dst, 4), + (uint32_t) ggml_get_op_params_i32(dst, 5), + (uint32_t) ggml_get_op_params_i32(dst, 6), + (uint32_t) ggml_get_op_params_i32(dst, 7), + }; + + std::vector entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src), + .offset = ggml_webgpu_tensor_align_offset(ctx, src), + .size = ggml_webgpu_tensor_binding_size(ctx, src) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } + }; + + uint32_t wg_x = CEIL_DIV(ne, decisions.wg_size); + return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x); +} + static std::optional ggml_webgpu_set_rows(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * idx, @@ -832,9 +903,39 @@ static std::optional ggml_webgpu_set_rows(webgpu_context & ctx, return std::nullopt; } - webgpu_pool_bufs error_bufs = ctx->set_rows_error_buf_pool.alloc_bufs(); - if (error_bufs.host_buf.GetMapState() == wgpu::BufferMapState::Mapped) { - error_bufs.host_buf.Unmap(); + ggml_webgpu_set_rows_pipeline_key key = { .dst_type = dst->type, + .vec4 = src->ne[0] % 4 == 0, + .i64_idx = idx->type == GGML_TYPE_I64 }; + + ggml_webgpu_set_rows_shader_lib_context shader_lib_ctx = { .key = key, + .max_wg_size = + ctx->limits.maxComputeInvocationsPerWorkgroup }; + + webgpu_pipeline pipeline; + // TODO: remove guard once pipeline caches are per-thread + { + std::lock_guard lock(ctx->mutex); + auto it = ctx->set_rows_pipelines.find(key); + if (it != ctx->set_rows_pipelines.end()) { + pipeline = it->second; + } else { + ggml_webgpu_processed_shader processed = + ggml_webgpu_preprocess_set_rows_shader(ctx->p, wgsl_set_rows, shader_lib_ctx); + pipeline = ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); + pipeline.context = processed.decisions; + ctx->set_rows_pipelines.emplace(key, pipeline); + } + } + + ggml_webgpu_generic_shader_decisions decisions = + *static_cast(pipeline.context); + + std::optional error_bufs = std::nullopt; + if (key.i64_idx) { + error_bufs = ctx->set_rows_error_buf_pool.alloc_bufs(); + if (error_bufs->host_buf.GetMapState() == wgpu::BufferMapState::Mapped) { + error_bufs->host_buf.Unmap(); + } } std::vector params = { @@ -865,21 +966,21 @@ static std::optional ggml_webgpu_set_rows(webgpu_context & ctx, { .binding = 2, .buffer = ggml_webgpu_tensor_buf(dst), .offset = ggml_webgpu_tensor_align_offset(ctx, dst), - .size = ggml_webgpu_tensor_binding_size(ctx, dst) }, - { .binding = 3, .buffer = error_bufs.dev_buf, .offset = 0, .size = error_bufs.dev_buf.GetSize() } + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } }; - int vectorized = src->ne[0] % 4 == 0; - webgpu_pipeline pipeline = ctx->set_rows_pipelines[0][vectorized]; - uint32_t threads; - if (vectorized) { + if (key.i64_idx) { + entries.push_back( + { .binding = 3, .buffer = error_bufs->dev_buf, .offset = 0, .size = error_bufs->dev_buf.GetSize() }); + } + + uint32_t threads; + if (key.vec4) { threads = (src->ne[1] * src->ne[2] * src->ne[3]) * (src->ne[0] / 4); } else { threads = src->ne[0] * src->ne[1] * src->ne[2] * src->ne[3]; } - - uint32_t wg_x = CEIL_DIV(threads, WEBGPU_MAX_WG_SIZE); - + uint32_t wg_x = CEIL_DIV(threads, decisions.wg_size); return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, 1, error_bufs); } @@ -1112,10 +1213,8 @@ static webgpu_command ggml_webgpu_flash_attn(webgpu_context & ctx, bool kv_direct = (K->type == GGML_TYPE_F16) && (Q->ne[0] % ctx->sg_mat_k == 0) && (K->ne[1] % GGML_WEBGPU_KV_SEQ_PAD == 0); - flash_attn_pipeline_key key = { - .q_type = Q->type, + ggml_webgpu_flash_attn_pipeline_key key = { .kv_type = K->type, - .dst_type = dst->type, .head_dim_qk = (uint32_t) Q->ne[0], .head_dim_v = (uint32_t) V->ne[0], .kv_direct = kv_direct, @@ -1125,29 +1224,17 @@ static webgpu_command ggml_webgpu_flash_attn(webgpu_context & ctx, }; webgpu_pipeline pipeline; - ggml_webgpu_flash_attn_shader_decisions decisions = {}; - - auto it = ctx->flash_attn_pipelines.find(key); - if (it != ctx->flash_attn_pipelines.end()) { - pipeline = it->second; - decisions = *static_cast(pipeline.context); - } else { + // TODO: remove guard once pipeline caches are per-thread + { std::lock_guard lock(ctx->mutex); - it = ctx->flash_attn_pipelines.find(key); + auto it = ctx->flash_attn_pipelines.find(key); if (it != ctx->flash_attn_pipelines.end()) { pipeline = it->second; - decisions = *static_cast(pipeline.context); } else { - ggml_webgpu_flash_attn_shader_lib_context shader_lib_ctx = { .kv_type = K->type, - .head_dim_qk = (uint32_t) Q->ne[0], - .head_dim_v = (uint32_t) V->ne[0], - .kv_direct = kv_direct, - .has_mask = static_cast(has_mask), - .has_sinks = static_cast(has_sinks), - .uses_logit_softcap = logit_softcap != 0.0f, - .sg_mat_m = ctx->sg_mat_m, - .sg_mat_n = ctx->sg_mat_n, - .sg_mat_k = ctx->sg_mat_k, + ggml_webgpu_flash_attn_shader_lib_context shader_lib_ctx = { .key = key, + .sg_mat_m = ctx->sg_mat_m, + .sg_mat_n = ctx->sg_mat_n, + .sg_mat_k = ctx->sg_mat_k, .wg_mem_limit_bytes = ctx->limits.maxComputeWorkgroupStorageSize, .max_subgroup_size = ctx->max_subgroup_size }; @@ -1155,59 +1242,101 @@ static webgpu_command ggml_webgpu_flash_attn(webgpu_context & ctx, ggml_webgpu_processed_shader processed = ggml_webgpu_preprocess_flash_attn_shader(ctx->p, wgsl_flash_attn, shader_lib_ctx); pipeline = ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); - pipeline.context = new ggml_webgpu_flash_attn_shader_decisions(processed.decisions); + pipeline.context = processed.decisions; ctx->flash_attn_pipelines.emplace(key, pipeline); - decisions = processed.decisions; } } + ggml_webgpu_flash_attn_shader_decisions decisions = + *static_cast(pipeline.context); + + uint32_t wg_per_head = CEIL_DIV(Q->ne[1], decisions.q_tile); uint32_t wg_x = wg_per_head * Q->ne[2] * Q->ne[3]; // wg per head * number of heads * number of batches return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x); } static webgpu_command ggml_webgpu_unary_op(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { - uint32_t ne = (uint32_t) ggml_nelements(dst); - ggml_unary_op unary_op = ggml_get_unary_op(dst); - uint32_t inplace = ggml_webgpu_tensor_equal(src, dst); + bool is_unary = dst->op == GGML_OP_UNARY; + bool inplace = ggml_webgpu_tensor_equal(src, dst) || (dst->op == GGML_OP_FILL); + int op = is_unary ? (int) ggml_get_unary_op(dst) : dst->op; - std::vector params = { - ne, (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), - (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), - // Convert byte-strides to element-strides - (uint32_t) (src->nb[0] / ggml_type_size(src->type)), (uint32_t) (src->nb[1] / ggml_type_size(src->type)), - (uint32_t) (src->nb[2] / ggml_type_size(src->type)), (uint32_t) (src->nb[3] / ggml_type_size(src->type)), - (uint32_t) (dst->nb[0] / ggml_type_size(dst->type)), (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)), - (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)), (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)), - // Logical shapes - (uint32_t) src->ne[0], (uint32_t) src->ne[1], (uint32_t) src->ne[2], (uint32_t) dst->ne[0], - (uint32_t) dst->ne[1], (uint32_t) dst->ne[2] + ggml_webgpu_unary_pipeline_key pipeline_key = { + .type = dst->type, .op = op, .is_unary = is_unary, .inplace = inplace }; + ggml_webgpu_unary_shader_lib_context shader_lib_ctx = { .key = pipeline_key, + .max_wg_size = + ctx->limits.maxComputeInvocationsPerWorkgroup }; - switch (unary_op) { - case GGML_UNARY_OP_XIELU: - { - // Get float parameters and reinterpret their bit patterns as uint32_t - // for passing through the params buffer - float alpha_n = ggml_get_op_params_f32(dst, 1); - float alpha_p = ggml_get_op_params_f32(dst, 2); - float beta = ggml_get_op_params_f32(dst, 3); - float eps = ggml_get_op_params_f32(dst, 4); - params.push_back(*reinterpret_cast(&alpha_n)); - params.push_back(*reinterpret_cast(&alpha_p)); - params.push_back(*reinterpret_cast(&beta)); - params.push_back(*reinterpret_cast(&eps)); + webgpu_pipeline pipeline; + { + // TODO: remove guard once pipeline caches are per-thread + std::lock_guard lock(ctx->mutex); + auto it = ctx->unary_pipelines.find(pipeline_key); + if (it != ctx->unary_pipelines.end()) { + pipeline = it->second; + } else { + ggml_webgpu_processed_shader processed = + ggml_webgpu_preprocess_unary_shader(ctx->p, wgsl_unary, shader_lib_ctx); + pipeline = ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); + pipeline.context = processed.decisions; + ctx->unary_pipelines.emplace(pipeline_key, pipeline); + } + } + + ggml_webgpu_generic_shader_decisions decisions = + *static_cast(pipeline.context); + + uint32_t ne = (uint32_t) ggml_nelements(dst); + + std::vector params = { ne, + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + (uint32_t) (src->nb[0] / ggml_type_size(src->type)), + (uint32_t) (src->nb[1] / ggml_type_size(src->type)), + (uint32_t) (src->nb[2] / ggml_type_size(src->type)), + (uint32_t) (src->nb[3] / ggml_type_size(src->type)), + (uint32_t) src->ne[0], + (uint32_t) src->ne[1], + (uint32_t) src->ne[2] }; + + ggml_tensor * effective_src = src; + if (is_unary) { + ggml_unary_op unary_op = ggml_get_unary_op(dst); + switch (unary_op) { + case GGML_UNARY_OP_XIELU: + { + // Get float parameters and reinterpret their bit patterns as uint32_t + // for passing through the params buffer + float alpha_n = ggml_get_op_params_f32(dst, 1); + float alpha_p = ggml_get_op_params_f32(dst, 2); + float beta = ggml_get_op_params_f32(dst, 3); + float eps = ggml_get_op_params_f32(dst, 4); + params.push_back(*reinterpret_cast(&alpha_n)); + params.push_back(*reinterpret_cast(&alpha_p)); + params.push_back(*reinterpret_cast(&beta)); + params.push_back(*reinterpret_cast(&eps)); + break; + } + default: break; - } - default: - break; + } + } else if (dst->op == GGML_OP_CLAMP) { + float clamp_min = ggml_get_op_params_f32(dst, 0); + float clamp_max = ggml_get_op_params_f32(dst, 1); + params.push_back(*reinterpret_cast(&clamp_min)); + params.push_back(*reinterpret_cast(&clamp_max)); + } else if (dst->op == GGML_OP_FILL) { + float fill_val = ggml_get_op_params_f32(dst, 0); + params.push_back(*reinterpret_cast(&fill_val)); + effective_src = dst; // fill simply fills dst } std::vector entries = { { .binding = 0, - .buffer = ggml_webgpu_tensor_buf(src), - .offset = ggml_webgpu_tensor_align_offset(ctx, src), - .size = ggml_webgpu_tensor_binding_size(ctx, src) }, + .buffer = ggml_webgpu_tensor_buf(effective_src), + .offset = ggml_webgpu_tensor_align_offset(ctx, effective_src), + .size = ggml_webgpu_tensor_binding_size(ctx, effective_src) }, }; if (!inplace) { entries.push_back({ .binding = 1, @@ -1216,8 +1345,8 @@ static webgpu_command ggml_webgpu_unary_op(webgpu_context & ctx, ggml_tensor * s .size = ggml_webgpu_tensor_binding_size(ctx, dst) }); } - uint32_t wg_x = CEIL_DIV(ne, WEBGPU_MAX_WG_SIZE); - return ggml_backend_webgpu_build(ctx, ctx->unary_pipelines[unary_op][dst->type][inplace], params, entries, wg_x); + uint32_t wg_x = CEIL_DIV(ne, decisions.wg_size); + return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x); } static webgpu_command ggml_webgpu_binary_op(webgpu_context & ctx, @@ -1549,6 +1678,305 @@ static webgpu_command ggml_webgpu_soft_max(webgpu_context & ctx, ggml_nrows(dst)); } +static webgpu_command ggml_webgpu_argmax(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { + std::vector params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + (uint32_t) src->ne[0] }; + + std::vector entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src), + .offset = ggml_webgpu_tensor_align_offset(ctx, src), + .size = ggml_webgpu_tensor_binding_size(ctx, src) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } + }; + + ggml_webgpu_generic_shader_lib_context shader_lib_ctx = { + .vec4 = src->ne[0] % 4 == 0, + .max_wg_size = ctx->limits.maxComputeInvocationsPerWorkgroup, + }; + + webgpu_pipeline pipeline; + { + // TODO: remove guard once pipeline caches are per-thread + std::lock_guard lock(ctx->mutex); + auto it = ctx->argmax_pipelines.find(shader_lib_ctx.vec4); + if (it != ctx->argmax_pipelines.end()) { + pipeline = it->second; + } else { + ggml_webgpu_processed_shader processed = + ggml_webgpu_preprocess_generic_shader(ctx->p, wgsl_argmax, shader_lib_ctx, "argmax"); + pipeline = ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); + ctx->argmax_pipelines.emplace(shader_lib_ctx.vec4, pipeline); + } + } + uint32_t wg_x = ggml_nelements(dst); + return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x); +} + +static webgpu_command ggml_webgpu_argsort(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { + bool is_top_k = dst->op == GGML_OP_TOP_K; + // ascending order is 0, descending order is 1 + const int32_t order = is_top_k ? (int32_t) GGML_SORT_ORDER_DESC : (int32_t) ggml_get_op_params_i32(dst, 0); + + ggml_webgpu_argsort_shader_lib_context shader_lib_ctx = { .max_wg_size = + ctx->limits.maxComputeInvocationsPerWorkgroup, + .wg_mem_limit_bytes = + ctx->limits.maxComputeWorkgroupStorageSize, + .order = order }; + + std::lock_guard lock(ctx->mutex); + webgpu_pipeline argsort_pipeline; + auto it = ctx->argsort_pipelines.find(order); + if (it != ctx->argsort_pipelines.end()) { + argsort_pipeline = it->second; + } else { + ggml_webgpu_processed_shader processed = + ggml_webgpu_preprocess_argsort_shader(ctx->p, wgsl_argsort, shader_lib_ctx); + argsort_pipeline = ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); + argsort_pipeline.context = processed.decisions; + ctx->argsort_pipelines.emplace(order, argsort_pipeline); + } + ggml_webgpu_argsort_shader_decisions argsort_decisions = + *static_cast(argsort_pipeline.context); + + webgpu_pipeline argsort_merge_pipeline; + it = ctx->argsort_merge_pipelines.find(order); + if (it != ctx->argsort_merge_pipelines.end()) { + argsort_merge_pipeline = it->second; + } else { + ggml_webgpu_processed_shader processed = + ggml_webgpu_preprocess_argsort_merge_shader(ctx->p, wgsl_argsort_merge, shader_lib_ctx); + argsort_merge_pipeline = + ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); + argsort_merge_pipeline.context = processed.decisions; + ctx->argsort_merge_pipelines.emplace(order, argsort_merge_pipeline); + } + + const uint32_t src_ne0 = (uint32_t) src->ne[0]; + const uint32_t nrows = (uint32_t) ggml_nrows(src); + const uint32_t npr = CEIL_DIV(src_ne0, argsort_decisions.wg_size); + const uint32_t block_size = + is_top_k ? std::min(argsort_decisions.wg_size, (uint32_t) dst->ne[0]) : argsort_decisions.wg_size; + uint32_t out_ne0 = src_ne0; + if (is_top_k) { + if (npr > 1) { + const uint32_t last_tile = src_ne0 - (npr - 1) * argsort_decisions.wg_size; + out_ne0 = (npr - 1) * block_size + std::min(last_tile, block_size); + } else { + out_ne0 = block_size; + } + } + + uint32_t merge_len = block_size; + uint32_t merge_passes = 0; + while (merge_len < out_ne0) { + merge_len <<= 1; + merge_passes++; + } + + const bool start_in_tmp = (merge_passes % 2) == 1; + + const size_t dst_offset = ggml_webgpu_tensor_offset(dst); + const size_t idx_nbytes = out_ne0 * ggml_nrows(dst) * sizeof(int32_t); + const size_t tmp_offset = ROUNDUP_POW2(dst_offset + idx_nbytes, ctx->limits.minStorageBufferOffsetAlignment); + const size_t tmp_binding_size = ROUNDUP_POW2(idx_nbytes, WEBGPU_STORAGE_BUF_BINDING_MULT); + const size_t dst_binding_size = + ROUNDUP_POW2(idx_nbytes + ggml_webgpu_tensor_misalignment(ctx, dst), WEBGPU_STORAGE_BUF_BINDING_MULT); + + const uint32_t offset_src = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)); + const uint32_t offset_dst = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)); + const uint32_t offset_tmp = 0; + const uint32_t stride_src1 = (uint32_t) (src->nb[1] / ggml_type_size(src->type)); + const uint32_t stride_src2 = (uint32_t) (src->nb[2] / ggml_type_size(src->type)); + const uint32_t stride_src3 = (uint32_t) (src->nb[3] / ggml_type_size(src->type)); + const uint32_t stride_idx1 = out_ne0; + const uint32_t stride_idx2 = out_ne0 * (uint32_t) dst->ne[1]; + const uint32_t stride_idx3 = stride_idx2 * (uint32_t) dst->ne[2]; + + std::vector pipelines; + std::vector> params_list; + std::vector> entries_list; + std::vector> workgroups_list; + + const uint32_t init_offset = start_in_tmp ? offset_tmp : offset_dst; + const size_t init_align_offset = start_in_tmp ? tmp_offset : ggml_webgpu_tensor_align_offset(ctx, dst); + const size_t init_binding_size = start_in_tmp ? tmp_binding_size : dst_binding_size; + + std::vector init_params = { + offset_src, init_offset, stride_src1, stride_src2, stride_src3, stride_idx1, + stride_idx2, stride_idx3, src_ne0, (uint32_t) src->ne[1], (uint32_t) src->ne[2], out_ne0, + block_size, npr, nrows + }; + + const uint32_t total_wg_init = npr * nrows; + const uint32_t max_wg = ctx->limits.maxComputeWorkgroupsPerDimension; + const uint32_t wg_x_init = std::min(total_wg_init, max_wg); + const uint32_t wg_y_init = CEIL_DIV(total_wg_init, wg_x_init); + std::vector init_entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src), + .offset = ggml_webgpu_tensor_align_offset(ctx, src), + .size = ggml_webgpu_tensor_binding_size(ctx, src) }, + { .binding = 1, .buffer = ggml_webgpu_tensor_buf(dst), .offset = init_align_offset, .size = init_binding_size } + }; + + pipelines.push_back(argsort_pipeline); + params_list.push_back(std::move(init_params)); + entries_list.push_back(std::move(init_entries)); + workgroups_list.push_back({ wg_x_init, wg_y_init }); + + if (merge_passes == 0) { + return ggml_backend_webgpu_build_multi(ctx, pipelines, params_list, entries_list, workgroups_list); + } + + bool in_is_tmp = start_in_tmp; + uint32_t len = block_size; + while (len < out_ne0) { + const uint32_t nm = CEIL_DIV(out_ne0, 2 * len); + + const bool out_is_tmp = !in_is_tmp; + const uint32_t offset_in = in_is_tmp ? offset_tmp : offset_dst; + const uint32_t offset_out = out_is_tmp ? offset_tmp : offset_dst; + const size_t align_in = in_is_tmp ? tmp_offset : ggml_webgpu_tensor_align_offset(ctx, dst); + const size_t align_out = out_is_tmp ? tmp_offset : ggml_webgpu_tensor_align_offset(ctx, dst); + const size_t size_in = in_is_tmp ? tmp_binding_size : dst_binding_size; + const size_t size_out = out_is_tmp ? tmp_binding_size : dst_binding_size; + const uint32_t top_k_out = (is_top_k && nm == 1) ? (uint32_t) dst->ne[0] : out_ne0; + const uint32_t stride_out1 = top_k_out; + const uint32_t stride_out2 = top_k_out * (uint32_t) dst->ne[1]; + const uint32_t stride_out3 = stride_out2 * (uint32_t) dst->ne[2]; + + std::vector merge_params = { offset_src, + offset_in, + offset_out, + stride_src1, + stride_src2, + stride_src3, + stride_idx1, + stride_idx2, + stride_idx3, + stride_out1, + stride_out2, + stride_out3, + out_ne0, + (uint32_t) src->ne[1], + (uint32_t) src->ne[2], + top_k_out, + len, + nm, + nrows }; + + std::vector merge_entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src), + .offset = ggml_webgpu_tensor_align_offset(ctx, src), + .size = ggml_webgpu_tensor_binding_size(ctx, src) }, + { .binding = 1, .buffer = ggml_webgpu_tensor_buf(dst), .offset = align_in, .size = size_in }, + { .binding = 2, .buffer = ggml_webgpu_tensor_buf(dst), .offset = align_out, .size = size_out } + }; + + const uint32_t total_wg_merge = nm * nrows; + const uint32_t wg_x_merge = std::min(total_wg_merge, max_wg); + const uint32_t wg_y_merge = CEIL_DIV(total_wg_merge, wg_x_merge); + workgroups_list.push_back({ wg_x_merge, wg_y_merge }); + pipelines.push_back(argsort_merge_pipeline); + params_list.push_back(std::move(merge_params)); + entries_list.push_back(std::move(merge_entries)); + + len <<= 1; + in_is_tmp = !in_is_tmp; + } + + return ggml_backend_webgpu_build_multi(ctx, pipelines, params_list, entries_list, workgroups_list); +} + +static webgpu_command ggml_webgpu_cumsum(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { + std::vector params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + (uint32_t) src->ne[0] }; + + std::vector entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src), + .offset = ggml_webgpu_tensor_align_offset(ctx, src), + .size = ggml_webgpu_tensor_binding_size(ctx, src) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } + }; + + ggml_webgpu_generic_shader_lib_context shader_lib_ctx = { + .vec4 = false, + .max_wg_size = ctx->limits.maxComputeInvocationsPerWorkgroup, + }; + webgpu_pipeline pipeline; + // TODO: remove guard once pipeline caches are per-thread + { + std::lock_guard lock(ctx->mutex); + auto it = ctx->cumsum_pipelines.find(1); + if (it != ctx->cumsum_pipelines.end()) { + pipeline = it->second; + } else { + ggml_webgpu_processed_shader processed = + ggml_webgpu_preprocess_generic_shader(ctx->p, wgsl_cumsum, shader_lib_ctx, "cumsum"); + pipeline = ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); + ctx->cumsum_pipelines.emplace(1, pipeline); + } + } + uint32_t wg_x = ggml_nrows(dst); + return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x); +} + +static webgpu_command ggml_webgpu_sum_rows(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) { + bool total_sum = dst->op == GGML_OP_SUM; + std::vector params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)), + (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)), + total_sum ? 0 : (uint32_t) (src->nb[1] / ggml_type_size(src->type)), + total_sum ? 0 : (uint32_t) (src->nb[2] / ggml_type_size(src->type)), + total_sum ? 0 : (uint32_t) (src->nb[3] / ggml_type_size(src->type)), + total_sum ? static_cast(ggml_nelements(src)) : (uint32_t) src->ne[0], + total_sum ? 1 : (uint32_t) src->ne[1], + total_sum ? 1 : (uint32_t) src->ne[2] }; + + std::vector entries = { + { .binding = 0, + .buffer = ggml_webgpu_tensor_buf(src), + .offset = ggml_webgpu_tensor_align_offset(ctx, src), + .size = ggml_webgpu_tensor_binding_size(ctx, src) }, + { .binding = 1, + .buffer = ggml_webgpu_tensor_buf(dst), + .offset = ggml_webgpu_tensor_align_offset(ctx, dst), + .size = ggml_webgpu_tensor_binding_size(ctx, dst) } + }; + + ggml_webgpu_generic_shader_lib_context shader_lib_ctx = { + .vec4 = false, + .max_wg_size = ctx->limits.maxComputeInvocationsPerWorkgroup, + }; + + webgpu_pipeline pipeline; + { + // TODO: remove guard once pipeline caches are per-thread + std::lock_guard lock(ctx->mutex); + auto it = ctx->sum_rows_pipelines.find(1); + if (it != ctx->sum_rows_pipelines.end()) { + pipeline = it->second; + } else { + ggml_webgpu_processed_shader processed = + ggml_webgpu_preprocess_generic_shader(ctx->p, wgsl_sum_rows, shader_lib_ctx, "sum_rows"); + pipeline = ggml_webgpu_create_pipeline(ctx->device, processed.wgsl.c_str(), processed.variant.c_str()); + ctx->sum_rows_pipelines.emplace(1, pipeline); + } + } + uint32_t wg_x = total_sum ? 1 : ggml_nrows(dst); + return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x); +} + // Returns the encoded command, or std::nullopt if the operation is a no-op static std::optional ggml_webgpu_encode_node(webgpu_context ctx, ggml_tensor * node) { if (ggml_is_empty(node)) { @@ -1611,6 +2039,26 @@ static std::optional ggml_webgpu_encode_node(webgpu_context ctx, return ggml_webgpu_soft_max(ctx, src0, src1, src2, node); case GGML_OP_UNARY: return ggml_webgpu_unary_op(ctx, src0, node); + case GGML_OP_CLAMP: + return ggml_webgpu_unary_op(ctx, src0, node); + case GGML_OP_FILL: + return ggml_webgpu_unary_op(ctx, src0, node); + case GGML_OP_LOG: + return ggml_webgpu_unary_op(ctx, src0, node); + case GGML_OP_PAD: + return ggml_webgpu_pad(ctx, src0, node); + case GGML_OP_ARGMAX: + return ggml_webgpu_argmax(ctx, src0, node); + case GGML_OP_ARGSORT: + return ggml_webgpu_argsort(ctx, src0, node); + case GGML_OP_TOP_K: + // we reuse the same argsort implementation for top_k + return ggml_webgpu_argsort(ctx, src0, node); + case GGML_OP_CUMSUM: + return ggml_webgpu_cumsum(ctx, src0, node); + case GGML_OP_SUM: + case GGML_OP_SUM_ROWS: + return ggml_webgpu_sum_rows(ctx, src0, node); default: return std::nullopt; } @@ -1865,6 +2313,31 @@ static size_t ggml_backend_webgpu_buffer_type_get_max_size(ggml_backend_buffer_t return ctx->webgpu_ctx->limits.maxStorageBufferBindingSize; } +static size_t ggml_backend_webgpu_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, + const ggml_tensor * tensor) { + ggml_backend_webgpu_device_context * ctx = static_cast(buft->device->context); + size_t res = ggml_nbytes(tensor); + switch (tensor->op) { + case GGML_OP_ARGSORT: + res = ROUNDUP_POW2(res * 2 + ctx->webgpu_ctx->limits.minStorageBufferOffsetAlignment, + WEBGPU_STORAGE_BUF_BINDING_MULT); + break; + case GGML_OP_TOP_K: + { + const ggml_tensor * src0 = tensor->src[0]; + if (src0) { + const size_t full = sizeof(int32_t) * ggml_nelements(src0); + res = ROUNDUP_POW2(full * 2 + ctx->webgpu_ctx->limits.minStorageBufferOffsetAlignment, + WEBGPU_STORAGE_BUF_BINDING_MULT); + } + } + break; + default: + break; + } + return res; +} + /* End GGML Backend Buffer Type Interface */ /* GGML Backend Device Interface */ @@ -1883,7 +2356,7 @@ static void ggml_backend_webgpu_device_get_memory(ggml_backend_dev_t dev, size_t ggml_backend_webgpu_device_context * ctx = static_cast(dev->context); // TODO: for now, return maxBufferSize as both free and total memory // Track https://github.com/gpuweb/gpuweb/issues/5505 for updates. - uint64_t max_buffer_size = ctx->webgpu_ctx->limits.maxBufferSize; + uint64_t max_buffer_size = ctx->webgpu_ctx->limits.maxBufferSize; // If we're on a 32-bit system, clamp to UINTPTR_MAX #if UINTPTR_MAX < UINT64_MAX uint64_t max_ptr_size = static_cast(UINTPTR_MAX); @@ -2086,13 +2559,6 @@ static void ggml_webgpu_init_mul_mat_pipeline(webgpu_context & webgpu_ctx) { webgpu_ctx->device, wgsl_mul_mat_vec_q4_0_f32, "mul_mat_vec_q4_0_f32", mul_mat_vec_constants); } -static void ggml_webgpu_init_set_rows_pipeline(webgpu_context & webgpu_ctx) { - webgpu_ctx->set_rows_pipelines[0][0] = ggml_webgpu_create_pipeline( - webgpu_ctx->device, wgsl_set_rows_f16, "set_rows_f16", ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE)); - webgpu_ctx->set_rows_pipelines[0][1] = ggml_webgpu_create_pipeline( - webgpu_ctx->device, wgsl_set_rows_f16_vec, "set_rows_f16_vec", ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE)); -} - static void ggml_webgpu_init_get_rows_pipeline(webgpu_context & webgpu_ctx) { std::vector constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE); @@ -2152,6 +2618,8 @@ static void ggml_webgpu_init_cpy_pipeline(webgpu_context & webgpu_ctx) { webgpu_ctx->cpy_pipelines[GGML_TYPE_F32][GGML_TYPE_F32] = ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_cpy_f32_f32, "cpy_f32_f32", constants); + webgpu_ctx->cpy_pipelines[GGML_TYPE_F32][GGML_TYPE_I32] = + ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_cpy_f32_i32, "cpy_f32_i32", constants); webgpu_ctx->cpy_pipelines[GGML_TYPE_F32][GGML_TYPE_F16] = ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_cpy_f32_f16, "cpy_f32_f16", constants); webgpu_ctx->cpy_pipelines[GGML_TYPE_F16][GGML_TYPE_F32] = @@ -2303,180 +2771,6 @@ static void ggml_webgpu_init_glu_pipeline(webgpu_context & webgpu_ctx) { ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_geglu_quick_f16_split, "geglu_quick_f16_split", constants); } -static void ggml_webgpu_init_unary_pipeline(webgpu_context & webgpu_ctx) { - std::vector constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE); - - // ABS - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_ABS][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_abs_f32, "abs_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_ABS][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_abs_f16, "abs_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_ABS][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_abs_inplace_f32, "abs_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_ABS][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_abs_inplace_f16, "abs_inplace_f16", constants); - - // SGN - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SGN][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_sgn_f32, "sgn_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SGN][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_sgn_f16, "sgn_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SGN][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_sgn_inplace_f32, "sgn_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SGN][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_sgn_inplace_f16, "sgn_inplace_f16", constants); - - // NEG - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_NEG][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_neg_f32, "neg_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_NEG][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_neg_f16, "neg_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_NEG][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_neg_inplace_f32, "neg_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_NEG][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_neg_inplace_f16, "neg_inplace_f16", constants); - - // STEP - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_STEP][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_step_f32, "step_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_STEP][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_step_f16, "step_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_STEP][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_step_inplace_f32, "step_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_STEP][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_step_inplace_f16, "step_inplace_f16", constants); - - // TANH - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_TANH][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_tanh_f32, "tanh_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_TANH][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_tanh_f16, "tanh_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_TANH][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_tanh_inplace_f32, "tanh_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_TANH][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_tanh_inplace_f16, "tanh_inplace_f16", constants); - - // ELU - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_ELU][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_elu_f32, "elu_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_ELU][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_elu_f16, "elu_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_ELU][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_elu_inplace_f32, "elu_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_ELU][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_elu_inplace_f16, "elu_inplace_f16", constants); - - // RELU - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_RELU][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_relu_f32, "relu_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_RELU][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_relu_f16, "relu_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_RELU][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_relu_inplace_f32, "relu_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_RELU][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_relu_inplace_f16, "relu_inplace_f16", constants); - - // SIGMOID - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SIGMOID][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_sigmoid_f32, "sigmoid_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SIGMOID][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_sigmoid_f16, "sigmoid_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SIGMOID][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_sigmoid_inplace_f32, "sigmoid_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SIGMOID][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_sigmoid_inplace_f16, "sigmoid_inplace_f16", constants); - - // GELU - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_f32, "gelu_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_f16, "gelu_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_inplace_f32, "gelu_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_inplace_f16, "gelu_inplace_f16", constants); - - // GELU_QUICK - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU_QUICK][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_quick_f32, "gelu_quick_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU_QUICK][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_quick_f16, "gelu_quick_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU_QUICK][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline( - webgpu_ctx->device, wgsl_gelu_quick_inplace_f32, "gelu_quick_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU_QUICK][GGML_TYPE_F16][1] = ggml_webgpu_create_pipeline( - webgpu_ctx->device, wgsl_gelu_quick_inplace_f16, "gelu_quick_inplace_f16", constants); - - // SILU - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SILU][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_silu_f32, "silu_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SILU][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_silu_f16, "silu_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SILU][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_silu_inplace_f32, "silu_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_SILU][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_silu_inplace_f16, "silu_inplace_f16", constants); - - // HARDSWISH - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_HARDSWISH][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_hardswish_f32, "hardswish_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_HARDSWISH][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_hardswish_f16, "hardswish_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_HARDSWISH][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_hardswish_inplace_f32, "hardswish_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_HARDSWISH][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_hardswish_inplace_f16, "hardswish_inplace_f16", constants); - - // HARDSIGMOID - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_HARDSIGMOID][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_hardsigmoid_f32, "hardsigmoid_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_HARDSIGMOID][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_hardsigmoid_f16, "hardsigmoid_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_HARDSIGMOID][GGML_TYPE_F32][1] = ggml_webgpu_create_pipeline( - webgpu_ctx->device, wgsl_hardsigmoid_inplace_f32, "hardsigmoid_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_HARDSIGMOID][GGML_TYPE_F16][1] = ggml_webgpu_create_pipeline( - webgpu_ctx->device, wgsl_hardsigmoid_inplace_f16, "hardsigmoid_inplace_f16", constants); - - // EXP - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_EXP][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_exp_f32, "exp_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_EXP][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_exp_f16, "exp_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_EXP][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_exp_inplace_f32, "exp_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_EXP][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_exp_inplace_f16, "exp_inplace_f16", constants); - - // GELU_ERF - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU_ERF][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_erf_f32, "gelu_erf_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU_ERF][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_erf_f16, "gelu_erf_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU_ERF][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_erf_inplace_f32, "gelu_erf_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_GELU_ERF][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_gelu_erf_inplace_f16, "gelu_erf_inplace_f16", constants); - - // XIELU - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_XIELU][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_xielu_f32, "xielu_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_XIELU][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_xielu_f16, "xielu_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_XIELU][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_xielu_inplace_f32, "xielu_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_XIELU][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_xielu_inplace_f16, "xielu_inplace_f16", constants); - - // CEIL - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_CEIL][GGML_TYPE_F32][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_ceil_f32, "ceil_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_CEIL][GGML_TYPE_F16][0] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_ceil_f16, "ceil_f16", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_CEIL][GGML_TYPE_F32][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_ceil_inplace_f32, "ceil_inplace_f32", constants); - webgpu_ctx->unary_pipelines[GGML_UNARY_OP_CEIL][GGML_TYPE_F16][1] = - ggml_webgpu_create_pipeline(webgpu_ctx->device, wgsl_ceil_inplace_f16, "ceil_inplace_f16", constants); -} - static void ggml_webgpu_init_scale_pipeline(webgpu_context & webgpu_ctx) { std::vector constants = ggml_webgpu_wg_size_entry(WEBGPU_MAX_WG_SIZE); @@ -2552,8 +2846,8 @@ static ggml_backend_buffer_type_t ggml_backend_webgpu_device_get_buffer_type(ggm /* .alloc_buffer = */ ggml_backend_webgpu_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_webgpu_buffer_type_get_alignment, /* .get_max_size = */ ggml_backend_webgpu_buffer_type_get_max_size, - /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes - /* .is_host = */ NULL, // defaults to false + /* .get_alloc_size = */ ggml_backend_webgpu_buffer_type_get_alloc_size, + /* .is_host = */ NULL, // defaults to false }, /* .device = */ dev, @@ -2631,16 +2925,19 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const break; case GGML_OP_CPY: case GGML_OP_CONT: - supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && - (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); + supports_op = ((op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && + (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16)) || + (op->type == GGML_TYPE_I32 && src0->type == GGML_TYPE_F32); break; case GGML_OP_SET_ROWS: - supports_op = (op->type == GGML_TYPE_F16 && src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_I64); + supports_op = ((op->type == GGML_TYPE_F16 || op->type == GGML_TYPE_F32) && src0->type == GGML_TYPE_F32 && + (src1->type == GGML_TYPE_I64 || src1->type == GGML_TYPE_I32)); break; case GGML_OP_GET_ROWS: - if (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || src0->type == GGML_TYPE_I32 || - ggml_webgpu_supported_qtype(src0->type)) { + if (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_webgpu_supported_qtype(src0->type)) { supports_op = (op->type == GGML_TYPE_F32); + } else if (src0->type == GGML_TYPE_I32) { + supports_op = op->type == GGML_TYPE_I32; } break; case GGML_OP_MUL_MAT: @@ -2753,9 +3050,14 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const case GGML_UNARY_OP_HARDSIGMOID: case GGML_UNARY_OP_EXP: case GGML_UNARY_OP_GELU_ERF: - case GGML_UNARY_OP_XIELU: + case GGML_UNARY_OP_SOFTPLUS: + case GGML_UNARY_OP_EXPM1: + case GGML_UNARY_OP_FLOOR: case GGML_UNARY_OP_CEIL: - supports_op = supports_op = + case GGML_UNARY_OP_ROUND: + case GGML_UNARY_OP_TRUNC: + case GGML_UNARY_OP_XIELU: + supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type); break; default: @@ -2763,7 +3065,34 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const } } break; - + case GGML_OP_CLAMP: + supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type); + break; + case GGML_OP_FILL: + supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32; + break; + case GGML_OP_LOG: + supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && (src0->type == op->type); + break; + case GGML_OP_PAD: + supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32; + break; + case GGML_OP_ARGMAX: + supports_op = op->type == GGML_TYPE_I32 && src0->type == GGML_TYPE_F32; + break; + case GGML_OP_ARGSORT: + supports_op = op->type == GGML_TYPE_I32 && src0->type == GGML_TYPE_F32 && ggml_is_contiguous_rows(src0); + break; + case GGML_OP_TOP_K: + supports_op = op->type == GGML_TYPE_I32 && src0->type == GGML_TYPE_F32 && ggml_is_contiguous_rows(src0); + break; + case GGML_OP_CUMSUM: + supports_op = op->type == GGML_TYPE_F32 && src0->type == op->type; + break; + case GGML_OP_SUM: + case GGML_OP_SUM_ROWS: + supports_op = op->type == GGML_TYPE_F32 && src0->type == op->type && ggml_is_contiguous_rows(src0); + break; default: break; } @@ -2984,7 +3313,6 @@ static ggml_backend_dev_t ggml_backend_webgpu_reg_get_device(ggml_backend_reg_t ggml_webgpu_init_memset_pipeline(ctx); ggml_webgpu_init_mul_mat_pipeline(ctx); - ggml_webgpu_init_set_rows_pipeline(ctx); ggml_webgpu_init_get_rows_pipeline(ctx); ggml_webgpu_init_cpy_pipeline(ctx); ggml_webgpu_init_add_pipeline(ctx); @@ -2996,7 +3324,6 @@ static ggml_backend_dev_t ggml_backend_webgpu_reg_get_device(ggml_backend_reg_t ggml_webgpu_init_glu_pipeline(ctx); ggml_webgpu_init_scale_pipeline(ctx); ggml_webgpu_init_soft_max_pipeline(ctx); - ggml_webgpu_init_unary_pipeline(ctx); #ifdef GGML_WEBGPU_DEBUG // Initialize debug buffers diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/argmax.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/argmax.wgsl new file mode 100644 index 0000000000..ca5bfcc4d4 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/argmax.wgsl @@ -0,0 +1,72 @@ +@group(0) @binding(0) +#ifdef VEC4 +var src: array>; +#define VEC_SIZE 4 +#else +var src: array; +#define VEC_SIZE 1 +#endif + +@group(0) @binding(1) +var dst: array; + +struct Params { + offset_src: u32, // in elements + offset_dst: u32, // in elements + ne0: u32, +}; + +@group(0) @binding(2) +var params: Params; + +const FLOAT_MIN: f32 = -1.0e9; + +struct Pair { + value: f32, + index: i32 +}; + +var shared_max: array; + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(workgroup_id) wid: vec3, + @builtin(local_invocation_id) lid: vec3) { + let row_idx = params.offset_src + wid.x * params.ne0; + var local_pair = Pair(FLOAT_MIN, -1); +#ifdef VEC4 + for (var col = lid.x; col < params.ne0/VEC_SIZE; col += WG_SIZE) { + let vec_val = src[row_idx / VEC_SIZE + col]; + for (var v = 0u; v < VEC_SIZE; v++) { + let val = vec_val[v]; + if (val >= local_pair.value) { + local_pair = Pair(val, i32(col * VEC_SIZE + v)); + } + } + } +#else + for (var col = lid.x; col < params.ne0; col += WG_SIZE) { + if (src[row_idx + col] >= local_pair.value) { + local_pair = Pair(src[row_idx + col], i32(col)); + } + } +#endif + shared_max[lid.x] = local_pair; + workgroupBarrier(); + var offset: u32 = WG_SIZE >> 1; + while (offset > 0) { + if (lid.x < offset) { + let a = shared_max[lid.x]; + let b = shared_max[lid.x + offset]; + if (b.value > a.value) { + shared_max[lid.x] = b; + } else if (b.value == a.value && b.index > a.index) { + shared_max[lid.x] = b; + } + } + workgroupBarrier(); + offset >>= 1; + } + if (lid.x == 0u) { + dst[params.offset_dst + wid.x] = shared_max[0].index; + } +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/argsort.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/argsort.wgsl new file mode 100644 index 0000000000..46ed19fc77 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/argsort.wgsl @@ -0,0 +1,106 @@ +@group(0) @binding(0) +var src: array; + +@group(0) @binding(1) +var dst: array; + +struct Params { + offset_src: u32, // in elements + offset_dst: u32, // in elements + + stride_src1: u32, + stride_src2: u32, + stride_src3: u32, + + stride_dst1: u32, + stride_dst2: u32, + stride_dst3: u32, + + // src/dst dimensions + src_ne0: u32, + ne1: u32, + ne2: u32, + + ne0: u32, + top_k: u32, + + npr: u32, // tiles per row + nrows: u32 +}; + +@group(0) @binding(2) +var params: Params; + +var shmem_idx: array; + +#if ORDER == 0 +#define EXTREME_VALUE 1e30 +#define SWAP_COMPARE_UP > +#define SWAP_COMPARE_DOWN < +#else +#define EXTREME_VALUE -1e30 +#define SWAP_COMPARE_UP < +#define SWAP_COMPARE_DOWN > +#endif + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(workgroup_id) wid: vec3, + @builtin(num_workgroups) num_wg: vec3, + @builtin(local_invocation_id) lid: vec3) { + let linear = wid.x + wid.y * num_wg.x; + // guard against overprovisioned workgroups + if (linear >= params.npr * params.nrows) { + return; + } + let tile = linear % params.npr; + var row = linear / params.npr; + let i3 = row / (params.ne2 * params.ne1); + row = row % (params.ne2 * params.ne1); + let i2 = row / params.ne1; + let i1 = row % params.ne1; + + let row_base = params.offset_src + + i1 * params.stride_src1 + + i2 * params.stride_src2 + + i3 * params.stride_src3; + + let tile_base = tile * WG_SIZE; + let idx = tile_base + lid.x; + shmem_idx[lid.x] = select(params.src_ne0, idx, idx < params.src_ne0); + workgroupBarrier(); + + var k = 2u; + while (k <= WG_SIZE) { + var j = k >> 1; + while (j > 0) { + let ixj = lid.x ^ j; + if (ixj > lid.x) { + let dir_up = (lid.x & k) == 0; + let a_idx = shmem_idx[lid.x]; + let b_idx = shmem_idx[ixj]; + let a_val = select(EXTREME_VALUE, src[row_base + a_idx], a_idx < params.src_ne0); + let b_val = select(EXTREME_VALUE, src[row_base + b_idx], b_idx < params.src_ne0); + let should_swap = select( + (a_val SWAP_COMPARE_DOWN b_val), + (a_val SWAP_COMPARE_UP b_val), + dir_up); + if (should_swap) { + shmem_idx[lid.x] = b_idx; + shmem_idx[ixj] = a_idx; + } + } + workgroupBarrier(); + j >>= 1; + } + k <<= 1; + } + + let out_idx = tile * params.top_k + lid.x; + if (out_idx < params.ne0 && lid.x < params.top_k) { + let row_dst = params.offset_dst + + i1 * params.stride_dst1 + + i2 * params.stride_dst2 + + i3 * params.stride_dst3; + dst[row_dst + out_idx] = i32(shmem_idx[lid.x]); + } +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/argsort_merge.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/argsort_merge.wgsl new file mode 100644 index 0000000000..9a77f6eca7 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/argsort_merge.wgsl @@ -0,0 +1,134 @@ +@group(0) @binding(0) +var src: array; + +@group(0) @binding(1) +var idx_in: array; + +@group(0) @binding(2) +var idx_out: array; + +struct Params { + offset_src: u32, // in elements + offset_in: u32, // in elements + offset_out: u32, // in elements + + stride_src1: u32, + stride_src2: u32, + stride_src3: u32, + + stride_idx1: u32, + stride_idx2: u32, + stride_idx3: u32, + + stride_out1: u32, + stride_out2: u32, + stride_out3: u32, + + ne0: u32, + ne1: u32, + ne2: u32, + + top_k: u32, + + len: u32, + nm: u32, + nrows: u32 +}; + +@group(0) @binding(3) +var params: Params; + +fn take_left(a_idx: i32, b_idx: i32, row_base: u32) -> bool { + let a_val = src[row_base + u32(a_idx)]; + let b_val = src[row_base + u32(b_idx)]; +#if ORDER == 0 + return a_val <= b_val; +#else + return a_val >= b_val; +#endif +} + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(workgroup_id) wid: vec3, + @builtin(num_workgroups) num_wg: vec3, + @builtin(local_invocation_id) lid: vec3) { + let linear = wid.x + wid.y * num_wg.x; + // guard against overprovisioned workgroups + if (linear >= params.nm * params.nrows) { + return; + } + + let start = (linear % params.nm) * params.len * 2; + let len0 = min(params.len, params.ne0 - start); + let rem1 = select(0, params.ne0 - (start + params.len), params.ne0 > (start + params.len)); + let len1 = min(params.len, rem1); + let total = len0 + len1; + let chunk = (total + WG_SIZE - 1u) / WG_SIZE; + let k0 = lid.x * chunk; + let k1 = min(min(k0 + chunk, total), params.top_k); + // guard against overprovisioned threads + if (k0 >= params.top_k || k0 >= total) { + return; + } + + var row = linear / params.nm; + let i3 = row / (params.ne2 * params.ne1); + row = row % (params.ne2 * params.ne1); + let i2 = row / params.ne1; + let i1 = row % params.ne1; + + let row_src = params.offset_src + + i1 * params.stride_src1 + + i2 * params.stride_src2 + + i3 * params.stride_src3; + + let row_in = params.offset_in + + i1 * params.stride_idx1 + + i2 * params.stride_idx2 + + i3 * params.stride_idx3; + + let row_out = params.offset_out + + i1 * params.stride_out1 + + i2 * params.stride_out2 + + i3 * params.stride_out3; + + + var low: u32 = select(0, k0 - len1, k0 > len1); + var high: u32 = min(k0, len0); + + while (low < high) { + let mid = (low + high) >> 1; + let idx0 = idx_in[row_in + start + mid]; + let idx1 = idx_in[row_in + start + params.len + (k0 - mid - 1)]; + if (take_left(idx0, idx1, row_src)) { + low = mid + 1; + } else { + high = mid; + } + } + + var i = low; + var j = k0 - i; + var k = k0; + while (k < k1) { + var take_l = false; + if (i >= len0) { + take_l = false; + } else if (j >= len1) { + take_l = true; + } else { + let idx0 = idx_in[row_in + start + i]; + let idx1 = idx_in[row_in + start + params.len + j]; + take_l = take_left(idx0, idx1, row_src); + } + + let out_idx = select( + idx_in[row_in + start + params.len + j], + idx_in[row_in + start + i], + take_l); + idx_out[row_out + start + k] = out_idx; + i = select(i, i + 1, take_l); + j = select(j + 1, j, take_l); + k += 1; + } +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/cpy.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/cpy.tmpl.wgsl index db1aa34903..b5e93b812f 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/cpy.tmpl.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/cpy.tmpl.wgsl @@ -7,6 +7,12 @@ "DST_TYPE": "f32" } }, + { + "REPLS": { + "SRC_TYPE": "f32", + "DST_TYPE": "i32" + } + }, { "REPLS": { "SRC_TYPE": "f32", diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/cumsum.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/cumsum.wgsl new file mode 100644 index 0000000000..e622552c42 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/cumsum.wgsl @@ -0,0 +1,66 @@ +@group(0) @binding(0) +var src: array; + +@group(0) @binding(1) +var dst: array; + +struct Params { + offset_src: u32, // in elements + offset_dst: u32, // in elements + ne0: u32, +}; + +@group(0) @binding(2) +var params: Params; + +var shared_sum: array; + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(workgroup_id) wid: vec3, + @builtin(local_invocation_id) lid: vec3) { + let row_idx = params.offset_src + wid.x * params.ne0; + let elems = (params.ne0 + WG_SIZE - 1) / WG_SIZE; + var local_sum: f32 = 0.0; + for (var col = lid.x * elems; col < (lid.x + 1) * elems && col < params.ne0; col ++) { + local_sum += src[row_idx + col]; + } + shared_sum[lid.x] = local_sum; + workgroupBarrier(); + + // upsweep + var offset = 1u; + while (offset < WG_SIZE) { + let idx = (lid.x + 1) * offset * 2 - 1; + if (idx < WG_SIZE) { + shared_sum[idx] = shared_sum[idx] + shared_sum[idx - offset]; + } + workgroupBarrier(); + offset <<= 1; + } + + // set last to 0 for exclusive sum + if (lid.x == 0) { + shared_sum[WG_SIZE - 1] = 0.0; + } + workgroupBarrier(); + + // downsweep + offset = WG_SIZE >> 1; + while (offset > 0) { + let idx = (lid.x + 1) * offset * 2 - 1; + if (idx < WG_SIZE) { + let t = shared_sum[idx - offset]; + shared_sum[idx - offset] = shared_sum[idx]; + shared_sum[idx] = shared_sum[idx] + t; + } + workgroupBarrier(); + offset = offset >> 1; + } + + // shared_sum[lid] is exclusive prefix sum up to this thread. + var running_sum = shared_sum[lid.x]; + for (var col = lid.x * elems; col < (lid.x + 1) * elems && col < params.ne0; col ++) { + running_sum += src[row_idx + col]; + dst[params.offset_dst + wid.x * params.ne0 + col] = running_sum; + } +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/pad.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/pad.wgsl new file mode 100644 index 0000000000..ea63b9a731 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/pad.wgsl @@ -0,0 +1,86 @@ +@group(0) @binding(0) +var src: array; + +@group(0) @binding(1) +var dst: array; + +struct Params { + ne: u32, // total number of elements + offset_src: u32, // in elements + offset_dst: u32, // in elements + + // Strides (in elements) + stride_src0: u32, + stride_src1: u32, + stride_src2: u32, + stride_src3: u32, + + // Logical shapes + src_ne0: u32, + src_ne1: u32, + src_ne2: u32, + src_ne3: u32, + + dst_ne0: u32, + dst_ne1: u32, + dst_ne2: u32, + dst_ne3: u32, + + // Pad sizes (in elements) + lp0: u32, + rp0: u32, + lp1: u32, + rp1: u32, + lp2: u32, + rp2: u32, + lp3: u32, + rp3: u32, +}; + +@group(0) @binding(2) +var params: Params; + +fn wrap_around(idx: i32, n: u32) -> u32 { + return u32(idx + i32(n)) % n; +} + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(global_invocation_id) gid: vec3) { + if (gid.x >= params.ne) { + return; + } + + var i = gid.x; + let dst_plane = params.dst_ne2 * params.dst_ne1 * params.dst_ne0; + let i3 = i / dst_plane; + i = i % dst_plane; + let i2 = i / (params.dst_ne1 * params.dst_ne0); + i = i % (params.dst_ne1 * params.dst_ne0); + let i1 = i / params.dst_ne0; + let i0 = i % params.dst_ne0; + + var value: f32 = 0.0; + +#ifdef CIRCULAR + let ci0 = wrap_around(i32(i0) - i32(params.lp0), params.src_ne0); + let ci1 = wrap_around(i32(i1) - i32(params.lp1), params.src_ne1); + let ci2 = wrap_around(i32(i2) - i32(params.lp2), params.src_ne2); + let ci3 = wrap_around(i32(i3) - i32(params.lp3), params.src_ne3); + let circular_src_idx = ci0 * params.stride_src0 + ci1 * params.stride_src1 + + ci2 * params.stride_src2 + ci3 * params.stride_src3; + value = src[params.offset_src + circular_src_idx]; +#else + let is_src = + (i0 >= params.lp0 && i0 < params.dst_ne0 - params.rp0) && + (i1 >= params.lp1 && i1 < params.dst_ne1 - params.rp1) && + (i2 >= params.lp2 && i2 < params.dst_ne2 - params.rp2) && + (i3 >= params.lp3 && i3 < params.dst_ne3 - params.rp3); + if (is_src) { + let src_idx = (i0 - params.lp0) * params.stride_src0 + (i1 - params.lp1) * params.stride_src1 + + (i2 - params.lp2) * params.stride_src2 + (i3 - params.lp3) * params.stride_src3; + value = src[params.offset_src + src_idx]; + } +#endif + + dst[params.offset_dst + gid.x] = value; +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/set_rows.tmpl.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/set_rows.wgsl similarity index 62% rename from ggml/src/ggml-webgpu/wgsl-shaders/set_rows.tmpl.wgsl rename to ggml/src/ggml-webgpu/wgsl-shaders/set_rows.wgsl index fca3be6bc2..99e9192c71 100644 --- a/ggml/src/ggml-webgpu/wgsl-shaders/set_rows.tmpl.wgsl +++ b/ggml/src/ggml-webgpu/wgsl-shaders/set_rows.wgsl @@ -1,41 +1,37 @@ -#define(VARIANTS) - -[ - { - "SHADER_SUFFIX": "f16_vec", - "REPLS": { - "TYPE" : "vec4", - "DST_TYPE": "vec4", - "VEC_SIZE": 4 - } - }, - { - "SHADER_SUFFIX": "f16", - "REPLS": { - "TYPE" : "f32", - "DST_TYPE": "f16", - "VEC_SIZE": 1 - } - } -] - -#end(VARIANTS) - -#define(SHADER) - enable f16; +#ifdef DST_F32 +#define DST_INNER_TYPE f32 +#else +#define DST_INNER_TYPE f16 +#endif + +#ifdef VEC4 +#define SRC_TYPE vec4 +#define DST_TYPE vec4 +#define VEC_SIZE 4 +#else +#define SRC_TYPE f32 +#define DST_TYPE DST_INNER_TYPE +#define VEC_SIZE 1 +#endif + @group(0) @binding(0) -var src: array<{{TYPE}}>; +var src: array; @group(0) @binding(1) var idx: array; @group(0) @binding(2) -var dst: array<{{DST_TYPE}}>; +var dst: array; +#ifdef I64_IDX @group(0) @binding(3) var error: atomic; +#define PARAMS_BINDING 4 +#else +#define PARAMS_BINDING 3 +#endif struct Params { offset_src: u32, // in elements @@ -66,18 +62,17 @@ struct Params { idx2: u32, }; -@group(0) @binding(4) +@group(0) @binding(PARAMS_BINDING) var params: Params; -override wg_size: u32; -@compute @workgroup_size(wg_size) +@compute @workgroup_size(WG_SIZE) fn main(@builtin(global_invocation_id) gid: vec3) { - if (gid.x >= (params.ne3 * params.ne2 * params.n_rows * params.ne0) / {{VEC_SIZE}}) { + if (gid.x >= (params.ne3 * params.ne2 * params.n_rows * params.ne0) / VEC_SIZE) { return; } // getting the row from gid - let elems_per_row = params.ne0 / {{VEC_SIZE}}; + let elems_per_row = params.ne0 / VEC_SIZE; var i = gid.x / elems_per_row; let i_src3 = i / (params.ne2 * params.n_rows); @@ -90,9 +85,10 @@ fn main(@builtin(global_invocation_id) gid: vec3) { let i_idx1 = i_src2 % params.idx1; let i_idx0 = i_src1; +#ifdef I64_IDX let idx_high = (params.offset_idx + i_idx0 * params.stride_idx0 + i_idx1 * params.stride_idx1 + i_idx2 * params.stride_idx2) * 2; - let idx_high_val = idx[idx_high]; + let idx_val = idx[idx_high]; let idx_low_val = idx[idx_high + 1]; if (idx_low_val != 0) { @@ -100,13 +96,14 @@ fn main(@builtin(global_invocation_id) gid: vec3) { atomicStore(&error, 1); return; } +#else + let idx_i = params.offset_idx + i_idx0 * params.stride_idx0 + i_idx1 * params.stride_idx1 + i_idx2 * params.stride_idx2; + let idx_val = idx[idx_i]; +#endif - let i_dst_row = params.offset_dst + idx_high_val * params.stride_dst1 + i_src2 * params.stride_dst2 + i_src3 * params.stride_dst3; + let i_dst_row = params.offset_dst + idx_val * params.stride_dst1 + i_src2 * params.stride_dst2 + i_src3 * params.stride_dst3; let i_src_row = params.offset_src + i_src1 * params.stride_src1 + i_src2 * params.stride_src2 + i_src3 * params.stride_src3; let col_idx = (gid.x % elems_per_row); - dst[i_dst_row/{{VEC_SIZE}} + col_idx] = {{DST_TYPE}}(src[i_src_row/{{VEC_SIZE}} + col_idx]); + dst[i_dst_row/VEC_SIZE + col_idx] = DST_TYPE(src[i_src_row/VEC_SIZE + col_idx]); } - -#end(SHADER) - diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/sum_rows.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/sum_rows.wgsl new file mode 100644 index 0000000000..6ea2de9b7c --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/sum_rows.wgsl @@ -0,0 +1,55 @@ +@group(0) @binding(0) +var src: array; + +@group(0) @binding(1) +var dst: array; + +struct Params { + offset_src: u32, // in elements + offset_dst: u32, // in elements + + // Strides (in elements) + stride_src1: u32, + stride_src2: u32, + stride_src3: u32, + + ne0: u32, + ne1: u32, + ne2: u32 +}; + +@group(0) @binding(2) +var params: Params; + +var shared_sum: array; + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(workgroup_id) wid: vec3, + @builtin(local_invocation_id) lid: vec3) { + + var i = wid.x; + let i3 = i / (params.ne2 * params.ne1); + i = i % (params.ne2 * params.ne1); + let i2 = i / params.ne1; + let i1 = i % params.ne1; + let i_src_row = params.offset_src + i3 * params.stride_src3 + i2 * params.stride_src2 + i1 * params.stride_src1; + var local_sum: f32 = 0.0; + for (var col = lid.x; col < params.ne0; col += WG_SIZE) { + local_sum += src[i_src_row + col]; + } + shared_sum[lid.x] = local_sum; + workgroupBarrier(); + // reduce within workgroup + var offset: u32 = WG_SIZE >> 1; + while (offset > 0) { + if (lid.x < offset) { + shared_sum[lid.x] = shared_sum[lid.x] + shared_sum[lid.x + offset]; + } + workgroupBarrier(); + offset >>= 1; + } + + if (lid.x == 0) { + dst[params.offset_dst + wid.x] = shared_sum[0]; + } +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl new file mode 100644 index 0000000000..d639d98497 --- /dev/null +++ b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl @@ -0,0 +1,179 @@ +#ifdef TYPE_F16 +enable f16; +#define TYPE f16 +#else +#define TYPE f32 +#endif + + +@group(0) @binding(0) +var src: array; + +#ifndef INPLACE +@group(0) @binding(1) +var dst: array; +#define PARAMS_BINDING 2 +#else +#define PARAMS_BINDING 1 +#endif + +struct Params { + ne: u32, // total number of elements + offset_src: u32, // in elements + offset_dst: u32, // in elements + + // Strides (in elements) + stride_src0: u32, + stride_src1: u32, + stride_src2: u32, + stride_src3: u32, + + // Logical shapes + ne0: u32, + ne1: u32, + ne2: u32, +#ifdef CLAMP + clamp_min: f32, + clamp_max: f32, +#endif +#ifdef FILL + fill_val: f32, +#endif +#ifdef XIELU + alpha_n: f32, + alpha_p: f32, + beta: f32, + eps: f32, +#endif + +}; + +@group(0) @binding(PARAMS_BINDING) +var params: Params; + +@compute @workgroup_size(WG_SIZE) +fn main(@builtin(global_invocation_id) gid: vec3) { + if (gid.x >= params.ne) { + return; + } + var i = gid.x; + let i3 = i / (params.ne2 * params.ne1 * params.ne0); + i = i % (params.ne2 * params.ne1 * params.ne0); + let i2 = i / (params.ne1 * params.ne0); + i = i % (params.ne1 * params.ne0); + let i1 = i / params.ne0; + let i0 = i % params.ne0; + + let src_idx = i0 * params.stride_src0 + i1 * params.stride_src1 + + i2 * params.stride_src2 + i3 * params.stride_src3; + +#ifdef ABS + let res = abs(src[params.offset_src + src_idx]); +#endif +#ifdef SGN + let res = select(TYPE(select(0.0, -1.0, src[params.offset_src + src_idx] < 0.0)), TYPE(1.0), + src[params.offset_src + src_idx] > 0.0); +#endif +#ifdef NEG + let res = -src[params.offset_src + src_idx]; +#endif +#ifdef STEP + let res = TYPE(select(0.0, 1.0, src[params.offset_src + src_idx] > 0.0)); +#endif +#ifdef TANH + let res = tanh(clamp(src[params.offset_src + src_idx], -9.010913, 9.010913)); +#endif +#ifdef RELU + let res = select(0.0, src[params.offset_src + src_idx], src[params.offset_src + src_idx] > 0.0); +#endif +#ifdef ELU + let res = select(exp(src[params.offset_src + src_idx]) - 1.0, src[params.offset_src + src_idx], + src[params.offset_src + src_idx] > 0.0); +#endif +#ifdef HARDSIGMOID + let res = min(1.0, max(0.0, (src[params.offset_src + src_idx] + 3.0) / 6.0)); +#endif +#ifdef SIGMOID + let res = 1.0 / (1.0 + exp(-src[params.offset_src + src_idx])); +#endif +#ifdef SILU + let res = src[params.offset_src + src_idx] / (1.0 + exp(-src[params.offset_src + src_idx])); +#endif +#ifdef EXP + let res = exp(src[params.offset_src + src_idx]); +#endif +#ifdef LOG + let res = TYPE(log(f32(src[params.offset_src + src_idx]))); +#endif +#ifdef CLAMP + let res = clamp(src[params.offset_src + src_idx], TYPE(params.clamp_min), TYPE(params.clamp_max)); +#endif +#ifdef FILL + let res = TYPE(params.fill_val); +#endif +#ifdef HARDSWISH + let res = src[params.offset_src + src_idx] * + min(1.0, max(0.0, (src[params.offset_src + src_idx] + 3.0) / 6.0)); +#endif +#ifdef GELU + let res = 0.5 * src[params.offset_src + src_idx] * + (1.0 + tanh(clamp(sqrt(2.0 / 3.14159265) * + (src[params.offset_src + src_idx] + + 0.044715 * pow(src[params.offset_src + src_idx], 3.0)), + -9.010913, 9.010913))); +#endif +#ifdef GELU_QUICK + let res = src[params.offset_src + src_idx] * 0.5 * + (1.0 + tanh(clamp(0.79788456 * + (src[params.offset_src + src_idx] + + 0.044715 * src[params.offset_src + src_idx] * + src[params.offset_src + src_idx] * src[params.offset_src + src_idx]), + -9.010913, 9.010913))); +#endif +#ifdef GELU_ERF + let res = 0.5 * src[params.offset_src + src_idx] * + (1.0 + tanh(clamp(0.79788456 * + (src[params.offset_src + src_idx] + + 0.044715 * src[params.offset_src + src_idx] * + src[params.offset_src + src_idx] * src[params.offset_src + src_idx]), + -9.010913, 9.010913))); +#endif +#ifdef XIELU + let res = + select(((exp(min(src[params.offset_src + src_idx], TYPE(params.eps))) - 1.0) - + src[params.offset_src + src_idx]) * + TYPE(params.alpha_n) + + TYPE(params.beta) * src[params.offset_src + src_idx], + TYPE(params.alpha_p) * src[params.offset_src + src_idx] * + src[params.offset_src + src_idx] + + TYPE(params.beta) * src[params.offset_src + src_idx], + src[params.offset_src + src_idx] > 0.0); +#endif +#ifdef SOFTPLUS + let src_f32 = f32(src[params.offset_src + src_idx]); + let res = TYPE(select(log(1.0 + exp(src_f32)), src_f32, src_f32 > 20.0)); +#endif +#ifdef EXPM1 + let res = exp(src[params.offset_src + src_idx]) - 1.0; +#endif +#ifdef FLOOR + let res = floor(src[params.offset_src + src_idx]); +#endif +#ifdef CEIL + let res = ceil(src[params.offset_src + src_idx]); +#endif +#ifdef ROUND + let src_f32 = f32(src[params.offset_src + src_idx]); + let result = select(ceil(src_f32 - 0.5), floor(src_f32 + 0.5), src_f32 >= 0.0); + let res = TYPE(result); +#endif +#ifdef TRUNC + let res = trunc(src[params.offset_src + src_idx]); +#endif + +#ifdef INPLACE + src[params.offset_src + src_idx] = res; +#else + dst[params.offset_dst + gid.x] = res; +#endif +} diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/unary_op.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/unary_op.wgsl deleted file mode 100644 index 25fe285451..0000000000 --- a/ggml/src/ggml-webgpu/wgsl-shaders/unary_op.wgsl +++ /dev/null @@ -1,483 +0,0 @@ -#define(REPL_TEMPLATES) - -{ - "XIELU_FUNC": "{{MUTATE}}[dst_i] = select(((exp(min(src[src_i], {{TYPE}}(params.eps))) - 1.0) - src[src_i]) * {{TYPE}}(params.alpha_n) + {{TYPE}}(params.beta) * src[src_i], {{TYPE}}(params.alpha_p) * src[src_i] * src[src_i] + {{TYPE}}(params.beta) * src[src_i], src[src_i] > 0.0);", - "ABS_FUNC": "{{MUTATE}}[dst_i] = abs(src[src_i]);", - "SGN_FUNC": "{{MUTATE}}[dst_i] = select({{TYPE}}(select(0.0, -1.0, src[src_i] < 0.0)), {{TYPE}}(1.0), src[src_i] > 0.0);", - "NEG_FUNC": "{{MUTATE}}[dst_i] = -src[src_i];", - "STEP_FUNC": "{{MUTATE}}[dst_i] = {{TYPE}}(select(0.0, 1.0, src[src_i] > 0.0));", - "TANH_FUNC": "{{MUTATE}}[dst_i] = tanh(clamp(src[src_i], -9.010913, 9.010913)); // Regarding tanh() domain restrictions in wgsl https://github.com/gpuweb/gpuweb/issues/4458", - "RELU_FUNC": "{{MUTATE}}[dst_i] = select(0.0, src[src_i], src[src_i] > 0.0);", - "ELU_FUNC": "{{MUTATE}}[dst_i] = select(exp(src[src_i]) - 1.0, src[src_i], src[src_i] > 0.0);", - "HARDSIGMOID_FUNC": "{{MUTATE}}[dst_i] = min(1.0, max(0.0, (src[src_i] + 3.0) / 6.0));", - "SIGMOID_FUNC": "{{MUTATE}}[dst_i] = 1.0 / (1.0 + exp(-src[src_i]));", - "SILU_FUNC": "{{MUTATE}}[dst_i] = src[src_i] / (1.0 + exp(-src[src_i]));", - "EXP_FUNC": "{{MUTATE}}[dst_i] = exp(src[src_i]);", - "HARDSWISH_FUNC": "{{MUTATE}}[dst_i] = src[src_i] * min(1.0, max(0.0, (src[src_i] + 3.0) / 6.0));", - "GELU_FUNC": "{{MUTATE}}[dst_i] = 0.5 * src[src_i] * (1.0 + tanh(clamp(sqrt(2.0 / 3.14159265) * (src[src_i] + 0.044715 * pow(src[src_i], 3.0)), -9.010913, 9.010913))); // Regarding tanh() domain restrictions in wgsl https://github.com/gpuweb/gpuweb/issues/4458", - "GELU_QUICK_FUNC": "{{MUTATE}}[dst_i] = src[src_i] * 0.5 * (1.0 + tanh(clamp(0.79788456 * (src[src_i] + 0.044715 * src[src_i] * src[src_i] * src[src_i]), -9.010913, 9.010913))); // Regarding tanh() domain restrictions in wgsl https://github.com/gpuweb/gpuweb/issues/4458", - "GELU_ERF_FUNC": "{{MUTATE}}[dst_i] = 0.5 * src[src_i] * (1.0 + tanh(clamp(0.79788456 * (src[src_i] + 0.044715 * src[src_i] * src[src_i] * src[src_i]), -9.010913, 9.010913))); // Regarding tanh() domain restrictions in wgsl https://github.com/gpuweb/gpuweb/issues/4458", - "CEIL_FUNC": "{{MUTATE}}[dst_i] = ceil(src[src_i]);" -} - -#end(REPL_TEMPLATES) - -#define(VARIANTS) - -[ - { - "SHADER_NAME": "abs_f32", - "REPLS": { "TYPE": "f32", "FUNC": "ABS_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "abs_f16", - "REPLS": { "TYPE": "f16", "FUNC": "ABS_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "abs_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "ABS_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "abs_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "ABS_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "sgn_f32", - "REPLS": { "TYPE": "f32", "FUNC": "SGN_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "sgn_f16", - "REPLS": { "TYPE": "f16", "FUNC": "SGN_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "sgn_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "SGN_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "sgn_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "SGN_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "neg_f32", - "REPLS": { "TYPE": "f32", "FUNC": "NEG_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "neg_f16", - "REPLS": { "TYPE": "f16", "FUNC": "NEG_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "neg_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "NEG_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "neg_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "NEG_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "step_f32", - "REPLS": { "TYPE": "f32", "FUNC": "STEP_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "step_f16", - "REPLS": { "TYPE": "f16", "FUNC": "STEP_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "step_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "STEP_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "step_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "STEP_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "tanh_f32", - "REPLS": { "TYPE": "f32", "FUNC": "TANH_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "tanh_f16", - "REPLS": { "TYPE": "f16", "FUNC": "TANH_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "tanh_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "TANH_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "tanh_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "TANH_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "elu_f32", - "REPLS": { "TYPE": "f32", "FUNC": "ELU_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "elu_f16", - "REPLS": { "TYPE": "f16", "FUNC": "ELU_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "elu_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "ELU_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "elu_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "ELU_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "relu_f32", - "REPLS": { "TYPE": "f32", "FUNC": "RELU_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "relu_f16", - "REPLS": { "TYPE": "f16", "FUNC": "RELU_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "relu_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "RELU_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "relu_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "RELU_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "sigmoid_f32", - "REPLS": { "TYPE": "f32", "FUNC": "SIGMOID_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "sigmoid_f16", - "REPLS": { "TYPE": "f16", "FUNC": "SIGMOID_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "sigmoid_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "SIGMOID_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "sigmoid_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "SIGMOID_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "silu_f32", - "REPLS": { "TYPE": "f32", "FUNC": "SILU_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "silu_f16", - "REPLS": { "TYPE": "f16", "FUNC": "SILU_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "silu_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "SILU_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "silu_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "SILU_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "exp_f32", - "REPLS": { "TYPE": "f32", "FUNC": "EXP_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "exp_f16", - "REPLS": { "TYPE": "f16", "FUNC": "EXP_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "exp_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "EXP_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "exp_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "EXP_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "hardsigmoid_f32", - "REPLS": { "TYPE": "f32", "FUNC": "HARDSIGMOID_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "hardsigmoid_f16", - "REPLS": { "TYPE": "f16", "FUNC": "HARDSIGMOID_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "hardsigmoid_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "HARDSIGMOID_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "hardsigmoid_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "HARDSIGMOID_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "hardswish_f32", - "REPLS": { "TYPE": "f32", "FUNC": "HARDSWISH_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "hardswish_f16", - "REPLS": { "TYPE": "f16", "FUNC": "HARDSWISH_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "hardswish_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "HARDSWISH_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "hardswish_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "HARDSWISH_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "gelu_f32", - "REPLS": { "TYPE": "f32", "FUNC": "GELU_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "gelu_f16", - "REPLS": { "TYPE": "f16", "FUNC": "GELU_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "gelu_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "GELU_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "gelu_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "GELU_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "gelu_quick_f32", - "REPLS": { "TYPE": "f32", "FUNC": "GELU_QUICK_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "gelu_quick_f16", - "REPLS": { "TYPE": "f16", "FUNC": "GELU_QUICK_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "gelu_quick_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "GELU_QUICK_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "gelu_quick_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "GELU_QUICK_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "xielu_f32", - "REPLS": { "TYPE": "f32", "FUNC": "XIELU_FUNC", "EXT_PARAMS": "alpha_n: f32, alpha_p: f32, beta: f32, eps: f32", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "xielu_f16", - "REPLS": { "TYPE": "f16", "FUNC": "XIELU_FUNC", "EXT_PARAMS": "alpha_n: f32, alpha_p: f32, beta: f32, eps: f32", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "xielu_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "XIELU_FUNC", "EXT_PARAMS": "alpha_n: f32, alpha_p: f32, beta: f32, eps: f32", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "xielu_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "XIELU_FUNC", "EXT_PARAMS": "alpha_n: f32, alpha_p: f32, beta: f32, eps: f32", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "gelu_erf_f32", - "REPLS": { "TYPE": "f32", "FUNC": "GELU_ERF_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "gelu_erf_f16", - "REPLS": { "TYPE": "f16", "FUNC": "GELU_ERF_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "gelu_erf_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "GELU_ERF_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "gelu_erf_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "GELU_ERF_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - - { - "SHADER_NAME": "ceil_f32", - "REPLS": { "TYPE": "f32", "FUNC": "CEIL_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "ceil_f16", - "REPLS": { "TYPE": "f16", "FUNC": "CEIL_FUNC", "EXT_PARAMS": "", "MUTATE": "dst" }, - "DECLS": ["NOT_INPLACE"] - }, - { - "SHADER_NAME": "ceil_inplace_f32", - "REPLS": { "TYPE": "f32", "FUNC": "CEIL_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - }, - { - "SHADER_NAME": "ceil_inplace_f16", - "REPLS": { "TYPE": "f16", "FUNC": "CEIL_FUNC", "EXT_PARAMS": "", "MUTATE": "src" }, - "DECLS": ["INPLACE"] - } -] - -#end(VARIANTS) - -#define(DECLS) - -#decl(INPLACE) - -@group(0) @binding(1) -var params: Params; - -#enddecl(INPLACE) - -#decl(NOT_INPLACE) - -@group(0) @binding(1) -var dst: array<{{TYPE}}>; - -@group(0) @binding(2) -var params: Params; - -#enddecl(NOT_INPLACE) - -#end(DECLS) - -#define(SHADER) - -enable f16; - -fn update(dst_i: u32, src_i: u32) { - {{FUNC}} -} - -@group(0) @binding(0) -var src: array<{{TYPE}}>; - -DECLS - -struct Params { - ne: u32, // total number of elements - offset_src: u32, // in elements - offset_dst: u32, // in elements - - // Strides (in elements) — may be permuted - stride_src0: u32, - stride_src1: u32, - stride_src2: u32, - stride_src3: u32, - - stride_dst0: u32, - stride_dst1: u32, - stride_dst2: u32, - stride_dst3: u32, - - // Logical shapes - src_ne0: u32, - src_ne1: u32, - src_ne2: u32, - - dst_ne0: u32, - dst_ne1: u32, - dst_ne2: u32, - - {{EXT_PARAMS}} -}; - -override wg_size: u32; -@compute @workgroup_size(wg_size) -fn main(@builtin(global_invocation_id) gid: vec3) { - if (gid.x >= params.ne) { - return; - } - - var i = gid.x; - let i3 = i / (params.src_ne2 * params.src_ne1 * params.src_ne0); - i = i % (params.src_ne2 * params.src_ne1 * params.src_ne0); - let i2 = i / (params.src_ne1 * params.src_ne0); - i = i % (params.src_ne1 * params.src_ne0); - let i1 = i / params.src_ne0; - let i0 = i % params.src_ne0; - - var j = gid.x; - let j3 = j / (params.dst_ne2 * params.dst_ne1 * params.dst_ne0); - j = j % (params.dst_ne2 * params.dst_ne1 * params.dst_ne0); - let j2 = j / (params.dst_ne1 * params.dst_ne0); - j = j % (params.dst_ne1 * params.dst_ne0); - let j1 = j / params.dst_ne0; - let j0 = j % params.dst_ne0; - - let src_idx = i0 * params.stride_src0 + i1 * params.stride_src1 + - i2 * params.stride_src2 + i3 * params.stride_src3; - - let dst_idx = j0 * params.stride_dst0 + j1 * params.stride_dst1 + - j2 * params.stride_dst2 + j3 * params.stride_dst3; - - - update(params.offset_dst + dst_idx, params.offset_src + src_idx); -} - -#end(SHADER) - From 2fbde785bc106ae1c4102b0e82b9b41d9c466579 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 17 Jan 2026 15:42:42 +0200 Subject: [PATCH 02/28] kv-cache : optimize KQ mask construction (#18842) * kv-cache : optimize KQ mask construction * cont : add explanation + improve * cont : fix --- src/llama-hparams.cpp | 36 ------ src/llama-hparams.h | 39 +++++- src/llama-kv-cache.cpp | 282 +++++++++++++++++++++++++++++++---------- src/llama-kv-cache.h | 2 - 4 files changed, 250 insertions(+), 109 deletions(-) diff --git a/src/llama-hparams.cpp b/src/llama-hparams.cpp index c847ef91b7..5f1df995f3 100644 --- a/src/llama-hparams.cpp +++ b/src/llama-hparams.cpp @@ -200,42 +200,6 @@ uint32_t llama_hparams::n_layer_kv() const { return res; } -bool llama_hparams::is_masked_swa(uint32_t n_swa, llama_swa_type swa_type, llama_pos p0, llama_pos p1) { - assert(p0 >= 0 && p1 >= 0); - - switch (swa_type) { - case LLAMA_SWA_TYPE_NONE: - { - } break; - case LLAMA_SWA_TYPE_STANDARD: - { - if (p1 - p0 >= (int32_t) n_swa) { - return true; - } - } break; - case LLAMA_SWA_TYPE_CHUNKED: - { - const llama_pos pos_chunk_start = (p1 / n_swa) * n_swa; - - if (p0 < pos_chunk_start) { - return true; - } - } break; - case LLAMA_SWA_TYPE_SYMMETRIC: - { - const int32_t half_n_swa = (int32_t) n_swa / 2; - const int32_t pos_diff = p1 - p0; - - // Mask if outside the symmetric window - if (pos_diff < -half_n_swa || pos_diff > half_n_swa) { - return true; - } - } break; - } - - return false; -} - bool llama_hparams::use_mrope() const { return rope_sections[0] > 0 && rope_sections[1] > 0; } diff --git a/src/llama-hparams.h b/src/llama-hparams.h index 7ae3ec292e..2bf8665520 100644 --- a/src/llama-hparams.h +++ b/src/llama-hparams.h @@ -3,6 +3,7 @@ #include "llama.h" #include +#include // bump if necessary #define LLAMA_MAX_LAYERS 512 @@ -274,9 +275,45 @@ struct llama_hparams { uint32_t n_layer_kv() const; // note that this function uses different SWA parameters from those in the hparams + // note: inlined on purpose for performance reasons // TODO: think of a better place for this function // TODO: pack the SWA params in a struct? - static bool is_masked_swa(uint32_t n_swa, llama_swa_type swa_type, llama_pos p0, llama_pos p1); + static bool is_masked_swa(uint32_t n_swa, llama_swa_type swa_type, llama_pos p0, llama_pos p1) { + assert(p0 >= 0 && p1 >= 0); + + switch (swa_type) { + case LLAMA_SWA_TYPE_NONE: + { + } break; + case LLAMA_SWA_TYPE_STANDARD: + { + if (p1 - p0 >= (int32_t) n_swa) { + return true; + } + } break; + case LLAMA_SWA_TYPE_CHUNKED: + { + const llama_pos pos_chunk_start = (p1 / n_swa) * n_swa; + + if (p0 < pos_chunk_start) { + return true; + } + } break; + case LLAMA_SWA_TYPE_SYMMETRIC: + { + const int32_t half_n_swa = (int32_t) n_swa / 2; + const int32_t pos_diff = p1 - p0; + + // Mask if outside the symmetric window + if (pos_diff < -half_n_swa || pos_diff > half_n_swa) { + return true; + } + } break; + } + + return false; + } + bool use_mrope() const; }; diff --git a/src/llama-kv-cache.cpp b/src/llama-kv-cache.cpp index 3186242d60..fd9f97d52e 100644 --- a/src/llama-kv-cache.cpp +++ b/src/llama-kv-cache.cpp @@ -852,7 +852,7 @@ llama_kv_cache::slot_info llama_kv_cache::find_slot(const llama_ubatch & ubatch, const llama_seq_id seq_id_cell = cells.seq_get(idx); // SWA mask - if (is_masked_swa(pos_cell, cells.seq_pos_max(seq_id_cell) + 1)) { + if (llama_hparams::is_masked_swa(n_swa, swa_type, pos_cell, cells.seq_pos_max(seq_id_cell) + 1)) { can_use = true; } } @@ -1237,6 +1237,197 @@ void llama_kv_cache::set_input_k_shift(ggml_tensor * dst) const { } } +struct args_set_input_kq_mask { + const llama_hparams & hparams; + const llama_ubatch * ubatch; + + const std::vector & v_cells; + const std::vector & seq_to_stream; + + uint32_t n_swa; + llama_swa_type swa_type; + + int64_t n_kv; + int64_t n_stream; + int64_t n_tps; +}; + +template +static void set_input_kq_mask_impl(const args_set_input_kq_mask & args, float * data) { + //const auto & hparams = args.hparams; + const auto & ubatch = args.ubatch; + + const auto & v_cells = args.v_cells; + const auto & seq_to_stream = args.seq_to_stream; + + const uint32_t n_swa = args.n_swa; + const llama_swa_type swa_type = args.swa_type; + + const int64_t n_kv = args.n_kv; + const int64_t n_stream = args.n_stream; + const int64_t n_tps = args.n_tps; + + // the min position in the batch for each sequence + llama_pos seq_pos_min[LLAMA_MAX_SEQ]; + std::fill(seq_pos_min, seq_pos_min + LLAMA_MAX_SEQ, INT32_MAX); + + for (uint32_t i = 0; i < ubatch->n_tokens; ++i) { + const llama_seq_id seq_id = ubatch->seq_id[i][0]; + + seq_pos_min[seq_id] = std::min(seq_pos_min[seq_id], ubatch->pos[i]); + } + + for (uint32_t s = 0; s < n_stream; ++s) { + // bookeeping of the KQ mask cells that could change for other tokens of the same sequence + std::unordered_map seq_srct; + std::unordered_map> seq_idxs; + + for (uint32_t ii = 0; ii < n_tps; ++ii) { + const uint32_t i = s*n_tps + ii; + + const llama_seq_id seq_id = ubatch->seq_id[i][0]; + + const auto & cells = v_cells.at(seq_to_stream[seq_id]); + + llama_pos p0 = -1; + const llama_pos p1 = ubatch->pos[i]; + + // for M-RoPE + const llama_pos p1_x = is_2d ? ubatch->pos[i + ubatch->n_tokens*2] : 0; + const llama_pos p1_y = is_2d ? ubatch->pos[i + ubatch->n_tokens] : 0; + + const uint64_t idst = n_kv*i; + + // for tokens of the same sequence, the mask is mostly the same, so we can reuse it + // the only cells that could change are the ones that are with similar positions as the + // ones in the batch (i.e. due to causal masking, SWA, etc.) + // keep track of those cells and shortcut the loop to save time + // note: this optimization is not compatible with Alibi position encoding + // ref: https://github.com/ggml-org/llama.cpp/pull/18842 + bool prev = false; + + auto & idxs = seq_idxs[seq_id]; + + if (!alibi) { + if (seq_srct.find(seq_id) != seq_srct.end()) { + const uint32_t srct = seq_srct[seq_id]; + + const uint64_t idst_prev = n_kv*srct; + + std::copy(data + idst_prev, data + idst_prev + n_kv, data + idst); + + prev = true; + } else { + idxs.clear(); + idxs.reserve(ubatch->n_tokens + n_swa + 32); + + seq_srct[seq_id] = i; + } + } + + for (uint32_t jj = 0; jj < n_kv; ++jj) { + uint32_t j = jj; + + // we have an exiting mask for this sequence -> update just seq_idxs + if (!alibi) { + if (prev) { + if (jj >= idxs.size()) { + break; + } + + j = idxs[jj]; + } + } + + if (cells.is_empty(j)) { + goto skip; + } + + // mask the token if not the same sequence + if (!cells.seq_has(j, seq_id)) { + goto skip; + } + + p0 = cells.pos_get(j); + + if (!alibi) { + if (!prev) { + // record all cells for which: p0 >= seq_pos_min[seq_id] - n_swa - 32 + if (p0 + (int32_t) (n_swa + 32) >= seq_pos_min[seq_id]) { + idxs.push_back(j); + } + } + } + + if (causal) { + // mask future tokens + if (p0 > p1) { + goto skip; + } + + // M-RoPE causal mask + if (is_2d) { + if (p0 == p1) { + const auto & p0_ext = cells.ext_get(j); + + if (p0_ext.is_2d_gt(p1_x, p1_y)) { + goto skip; + } + } + } + } + + // apply SWA if any + if (swa) { + if (llama_hparams::is_masked_swa(n_swa, swa_type, p0, p1)) { + goto skip; + } + } + + if (alibi) { + data[idst + j] = -std::abs(p0 - p1); + } else { + data[idst + j] = 0.0f; + } + + continue; +skip: + data[idst + j] = -INFINITY; + } + } + } +} + +template +static void set_input_kq_mask_impl(const args_set_input_kq_mask & args, float * data) { + const bool alibi = args.hparams.use_alibi; + if (alibi) { + set_input_kq_mask_impl (args, data); + } else { + set_input_kq_mask_impl(args, data); + } +} + +template +static void set_input_kq_mask_impl(const args_set_input_kq_mask & args, float * data) { + const bool is_2d = args.ubatch->is_pos_2d(); + if (is_2d) { + set_input_kq_mask_impl (args, data); + } else { + set_input_kq_mask_impl(args, data); + } +} + +template +static void set_input_kq_mask_impl(const args_set_input_kq_mask & args, float * data) { + const bool swa = args.swa_type != LLAMA_SWA_TYPE_NONE; + if (swa) { + set_input_kq_mask_impl (args, data); + } else { + set_input_kq_mask_impl(args, data); + } +} + void llama_kv_cache::set_input_kq_mask(ggml_tensor * dst, const llama_ubatch * ubatch, bool causal_attn) const { const uint32_t n_tokens = ubatch->n_tokens; @@ -1251,74 +1442,29 @@ void llama_kv_cache::set_input_kq_mask(ggml_tensor * dst, const llama_ubatch * u // n_tps == n_tokens_per_stream const int64_t n_tps = n_tokens/n_stream; - std::fill(data, data + ggml_nelements(dst), -INFINITY); + //const int64_t t_start = ggml_time_us(); - // Use only the previous KV cells of the correct sequence for each token of the ubatch. - // It's assumed that if a token in the batch has multiple sequences, they are equivalent. - // Example with a cache of 10 tokens, 2 tokens populated in cache and 3 tokens in batch: - // Causal mask: - // xxx------- - // xxxx------ - // xxxxx----- - // Non-causal mask: - // xxxxx----- - // xxxxx----- - // xxxxx----- - // To visualize the mask, see https://github.com/ggml-org/llama.cpp/pull/12615 - // TODO: optimize this section - for (uint32_t h = 0; h < 1; ++h) { - for (uint32_t s = 0; s < n_stream; ++s) { - for (uint32_t ii = 0; ii < n_tps; ++ii) { - const uint32_t i = s*n_tps + ii; + const args_set_input_kq_mask args = { + /*.hparams =*/ hparams, + /*.ubatch =*/ ubatch, + /*.v_cells =*/ v_cells, + /*.seq_to_stream =*/ seq_to_stream, + /*.n_swa =*/ n_swa, + /*.swa_type =*/ swa_type, + /*.n_kv =*/ n_kv, + /*.n_stream =*/ n_stream, + /*.n_tps =*/ n_tps, + }; - const llama_seq_id seq_id = ubatch->seq_id[i][0]; - - const auto & cells = v_cells[seq_to_stream[seq_id]]; - - const llama_pos p1 = ubatch->pos[i]; - - // for M-RoPE - const bool is_2d = ubatch->is_pos_2d(); - const llama_pos p1_x = is_2d ? ubatch->pos[i + ubatch->n_tokens*2] : 0; - const llama_pos p1_y = is_2d ? ubatch->pos[i + ubatch->n_tokens] : 0; - - const uint64_t idst = n_kv*(h*n_stream*n_tps + s*n_tps + ii); - - for (uint32_t j = 0; j < n_kv; ++j) { - if (cells.is_empty(j)) { - continue; - } - - // mask the token if not the same sequence - if (!cells.seq_has(j, seq_id)) { - continue; - } - - const llama_pos p0 = cells.pos_get(j); - - // mask future tokens - if (causal_attn && p0 > p1) { - continue; - } - - // M-RoPE causal mask - if (causal_attn && is_2d && p0 == p1) { - const auto & p0_ext = cells.ext_get(j); - if (p0_ext.is_2d_gt(p1_x, p1_y)) { - continue; - } - } - - // apply SWA if any - if (is_masked_swa(p0, p1)) { - continue; - } - - data[idst + j] = hparams.use_alibi ? -std::abs(p0 - p1) : 0.0f; - } - } - } + if (causal_attn) { + set_input_kq_mask_impl (args, data); + } else { + set_input_kq_mask_impl(args, data); } + + //const int64_t t_end = ggml_time_us(); + + //LLAMA_LOG_ERROR("%s: kq mask time: %0.3f ms\n", __func__, (t_end - t_start)/1000.0); } void llama_kv_cache::set_input_pos_bucket(ggml_tensor * dst, const llama_ubatch * ubatch) const { @@ -1483,10 +1629,6 @@ ggml_cgraph * llama_kv_cache::build_graph_shift(llm_graph_result * res, llama_co return gf; } -bool llama_kv_cache::is_masked_swa(llama_pos p0, llama_pos p1) const { - return llama_hparams::is_masked_swa(n_swa, swa_type, p0, p1); -} - void llama_kv_cache::state_write(llama_io_write_i & io, llama_seq_id seq_id, llama_state_seq_flags flags) const { GGML_UNUSED(flags); diff --git a/src/llama-kv-cache.h b/src/llama-kv-cache.h index 0c4ed64845..e194bf3e26 100644 --- a/src/llama-kv-cache.h +++ b/src/llama-kv-cache.h @@ -257,8 +257,6 @@ private: size_t size_k_bytes() const; size_t size_v_bytes() const; - bool is_masked_swa(llama_pos p0, llama_pos p1) const; - ggml_tensor * build_rope_shift( const llama_cparams & cparams, ggml_context * ctx, From 57c0beaed0a8ed9122e9e42357ba960a7a7d8c69 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Sat, 17 Jan 2026 21:52:02 +0100 Subject: [PATCH 03/28] ci : add label for jinja changes (#18903) --- .github/labeler.yml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.github/labeler.yml b/.github/labeler.yml index d8ada150c5..08cfd7e0bc 100644 --- a/.github/labeler.yml +++ b/.github/labeler.yml @@ -89,7 +89,10 @@ nix: embedding: - changed-files: - any-glob-to-any-file: examples/embedding/ - +jinja parser: + - changed-files: + - any-glob-to-any-file: + - common/jinja/** Ascend NPU: - changed-files: - any-glob-to-any-file: From d1b4757dedbb60a811c8d7012249a96b1b702606 Mon Sep 17 00:00:00 2001 From: lhez Date: Sat, 17 Jan 2026 13:50:32 -0800 Subject: [PATCH 04/28] opencl: fix q6_K mv for m=1 (#18893) --- ggml/src/ggml-opencl/kernels/mul_mv_q6_k.cl | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_q6_k.cl b/ggml/src/ggml-opencl/kernels/mul_mv_q6_k.cl index 8a17b9aae6..819e5192e3 100644 --- a/ggml/src/ggml-opencl/kernels/mul_mv_q6_k.cl +++ b/ggml/src/ggml-opencl/kernels/mul_mv_q6_k.cl @@ -111,6 +111,10 @@ kernel void kernel_mul_mv_q6_K_f32( int row = N_SIMDGROUP * r0 + get_sub_group_id(); + if (row >= ne01) { + return; + } + int i12 = im%ne12; int i13 = im/ne12; From f55b033ae6ce58ea695b4af8a68da78eb9781e3a Mon Sep 17 00:00:00 2001 From: Xuan-Son Nguyen Date: Sun, 18 Jan 2026 00:48:55 +0100 Subject: [PATCH 05/28] jinja: correct member access rule (#18905) --- common/jinja/runtime.cpp | 18 +++++++++++++++++- common/jinja/runtime.h | 3 ++- common/jinja/value.cpp | 5 +++++ common/jinja/value.h | 1 + tests/test-jinja.cpp | 12 ++++++++++++ 5 files changed, 37 insertions(+), 2 deletions(-) diff --git a/common/jinja/runtime.cpp b/common/jinja/runtime.cpp index ba07f7a6d9..03ac3d16ee 100644 --- a/common/jinja/runtime.cpp +++ b/common/jinja/runtime.cpp @@ -560,6 +560,7 @@ value for_statement::execute_impl(context & ctx) { for (size_t i = 0; i < filtered_items.size(); i++) { JJ_DEBUG("For loop iteration %zu/%zu", i + 1, filtered_items.size()); value_object loop_obj = mk_val(); + loop_obj->has_builtins = false; // loop object has no builtins loop_obj->insert("index", mk_val(i + 1)); loop_obj->insert("index0", mk_val(i)); loop_obj->insert("revindex", mk_val(filtered_items.size() - i)); @@ -717,6 +718,7 @@ value member_expression::execute_impl(context & ctx) { value property; if (this->computed) { + // syntax: obj[expr] JJ_DEBUG("Member expression, computing property type %s", this->property->type().c_str()); int64_t arr_size = 0; @@ -745,10 +747,24 @@ value member_expression::execute_impl(context & ctx) { property = this->property->execute(ctx); } } else { + // syntax: obj.prop if (!is_stmt(this->property)) { - throw std::runtime_error("Non-computed member property must be an identifier"); + throw std::runtime_error("Static member property must be an identifier"); } property = mk_val(cast_stmt(this->property)->val); + std::string prop = property->as_string().str(); + JJ_DEBUG("Member expression, object type %s, static property '%s'", object->type().c_str(), prop.c_str()); + + // behavior of jinja2: obj having prop as a built-in function AND 'prop', as an object key, + // then obj.prop returns the built-in function, not the property value. + // while obj['prop'] returns the property value. + // example: {"obj": {"items": 123}} -> obj.items is the built-in function, obj['items'] is 123 + + value val = try_builtin_func(ctx, prop, object, true); + if (!is_val(val)) { + return val; + } + // else, fallthrough to normal property access below } JJ_DEBUG("Member expression on object type %s, property type %s", object->type().c_str(), property->type().c_str()); diff --git a/common/jinja/runtime.h b/common/jinja/runtime.h index 1e7c63b85c..de42b66c5f 100644 --- a/common/jinja/runtime.h +++ b/common/jinja/runtime.h @@ -56,6 +56,7 @@ struct context { // src is optional, used for error reporting context(std::string src = "") : src(std::make_shared(std::move(src))) { env = mk_val(); + env->has_builtins = false; // context object has no builtins env->insert("true", mk_val(true)); env->insert("True", mk_val(true)); env->insert("false", mk_val(false)); @@ -265,7 +266,7 @@ struct comment_statement : public statement { struct member_expression : public expression { statement_ptr object; statement_ptr property; - bool computed; + bool computed; // true if obj[expr] and false if obj.prop member_expression(statement_ptr && object, statement_ptr && property, bool computed) : object(std::move(object)), property(std::move(property)), computed(computed) { diff --git a/common/jinja/value.cpp b/common/jinja/value.cpp index 0ae9d1c565..fc1023ff2f 100644 --- a/common/jinja/value.cpp +++ b/common/jinja/value.cpp @@ -888,6 +888,11 @@ const func_builtins & value_array_t::get_builtins() const { const func_builtins & value_object_t::get_builtins() const { + if (!has_builtins) { + static const func_builtins no_builtins = {}; + return no_builtins; + } + static const func_builtins builtins = { // {"default", default_value}, // cause issue with gpt-oss {"get", [](const func_args & args) -> value { diff --git a/common/jinja/value.h b/common/jinja/value.h index 05e7d1e41a..2fa87daf84 100644 --- a/common/jinja/value.h +++ b/common/jinja/value.h @@ -286,6 +286,7 @@ using value_array = std::shared_ptr; struct value_object_t : public value_t { + bool has_builtins = true; // context and loop objects do not have builtins value_object_t() = default; value_object_t(value & v) { val_obj = v->val_obj; diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp index 7adb302ffb..6aa90e1a00 100644 --- a/tests/test-jinja.cpp +++ b/tests/test-jinja.cpp @@ -1063,6 +1063,18 @@ static void test_object_methods(testing & t) { {{"obj", {{"items", json::array({1, 2, 3})}}}}, "{\"items\": [1, 2, 3]}" ); + + test_template(t, "object attribute and key access", + "{{ obj.keys()|join(',') }} vs {{ obj['keys'] }} vs {{ obj.test }}", + {{"obj", {{"keys", "value"}, {"test", "attr_value"}}}}, + "keys,test vs value vs attr_value" + ); + + test_template(t, "env should not have object methods", + "{{ keys is undefined }} {{ obj.keys is defined }}", + {{"obj", {{"a", "b"}}}}, + "True True" + ); } static void test_template(testing & t, const std::string & name, const std::string & tmpl, const json & vars, const std::string & expect) { From 420960ab9285993b6432c13f4f221a2447409070 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Sun, 18 Jan 2026 00:57:51 +0100 Subject: [PATCH 06/28] jinja : fix lexing of float literals with sign (#18901) * fix lexing of float literals with sign * add test * consume_numeric --- common/jinja/lexer.cpp | 19 ++++++++++++------- tests/test-jinja.cpp | 6 ++++++ 2 files changed, 18 insertions(+), 7 deletions(-) diff --git a/common/jinja/lexer.cpp b/common/jinja/lexer.cpp index 85eaa1a76b..598982c2fe 100644 --- a/common/jinja/lexer.cpp +++ b/common/jinja/lexer.cpp @@ -91,6 +91,16 @@ lexer_result lexer::tokenize(const std::string & source) { return str; }; + auto consume_numeric = [&]() -> std::string { + std::string num = consume_while(is_integer); + if (pos < src.size() && src[pos] == '.' && pos + 1 < src.size() && is_integer(src[pos + 1])) { + ++pos; // Consume '.' + std::string frac = consume_while(is_integer); + num += "." + frac; + } + return num; + }; + auto next_pos_is = [&](std::initializer_list chars, size_t n = 1) -> bool { if (pos + n >= src.size()) return false; for (char c : chars) { @@ -258,7 +268,7 @@ lexer_result lexer::tokenize(const std::string & source) { ++pos; // Consume the operator // Check for numbers following the unary operator - std::string num = consume_while(is_integer); + std::string num = consume_numeric(); std::string value = std::string(1, ch) + num; token::type t = num.empty() ? token::unary_operator : token::numeric_literal; // JJ_DEBUG("consumed unary operator or numeric literal: '%s'", value.c_str()); @@ -307,12 +317,7 @@ lexer_result lexer::tokenize(const std::string & source) { // Numbers if (is_integer(ch)) { start_pos = pos; - std::string num = consume_while(is_integer); - if (pos < src.size() && src[pos] == '.' && pos + 1 < src.size() && is_integer(src[pos + 1])) { - ++pos; // Consume '.' - std::string frac = consume_while(is_integer); - num += "." + frac; - } + std::string num = consume_numeric(); // JJ_DEBUG("consumed numeric literal: '%s'", num.c_str()); tokens.push_back({token::numeric_literal, num, start_pos}); continue; diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp index 6aa90e1a00..ed75f70897 100644 --- a/tests/test-jinja.cpp +++ b/tests/test-jinja.cpp @@ -247,6 +247,12 @@ static void test_expressions(testing & t) { "Bob" ); + test_template(t, "negative float (not dot notation)", + "{{ -1.0 }}", + json::object(), + "-1.0" + ); + test_template(t, "bracket notation", "{{ user['name'] }}", {{"user", {{"name", "Bob"}}}}, From 10c98cbdf623d982f7491e8de5711e916a913192 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Sun, 18 Jan 2026 01:05:09 +0100 Subject: [PATCH 07/28] jinja : add missing tojson filter for bool (#18900) * add missing tojson for bool * add more literal tests --- common/jinja/value.cpp | 1 + tests/test-jinja.cpp | 60 ++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 61 insertions(+) diff --git a/common/jinja/value.cpp b/common/jinja/value.cpp index fc1023ff2f..acf24257fb 100644 --- a/common/jinja/value.cpp +++ b/common/jinja/value.cpp @@ -698,6 +698,7 @@ const func_builtins & value_bool_t::get_builtins() const { bool val = args.get_pos(0)->as_bool(); return mk_val(val ? "True" : "False"); }}, + {"tojson", tojson}, }; return builtins; } diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp index ed75f70897..6ed0487685 100644 --- a/tests/test-jinja.cpp +++ b/tests/test-jinja.cpp @@ -540,6 +540,66 @@ static void test_literals(testing & t) { json::object(), "1" ); + + test_template(t, "integer|abs", + "{{ -42 | abs }}", + json::object(), + "42" + ); + + test_template(t, "integer|float", + "{{ 42 | float }}", + json::object(), + "42.0" + ); + + test_template(t, "integer|tojson", + "{{ 42 | tojson }}", + json::object(), + "42" + ); + + test_template(t, "float|abs", + "{{ -3.14 | abs }}", + json::object(), + "3.14" + ); + + test_template(t, "float|int", + "{{ 3.14 | int }}", + json::object(), + "3" + ); + + test_template(t, "float|tojson", + "{{ 3.14 | tojson }}", + json::object(), + "3.14" + ); + + test_template(t, "string|tojson", + "{{ 'hello' | tojson }}", + json::object(), + "\"hello\"" + ); + + test_template(t, "boolean|int", + "{{ true | int }}", + json::object(), + "1" + ); + + test_template(t, "boolean|float", + "{{ true | float }}", + json::object(), + "1.0" + ); + + test_template(t, "boolean|tojson", + "{{ true | tojson }}", + json::object(), + "true" + ); } static void test_comments(testing & t) { From d03c45c9c56795af8b0e899762bf266c14fd2028 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Sun, 18 Jan 2026 02:53:01 +0100 Subject: [PATCH 08/28] jinja : attribute support for join, map and sort (#18883) * support negative array index and default value * attribute support (int and str) for join, map and sort * add tests * update CODEOWNERS * improve fixme sorting comment --- CODEOWNERS | 1 + common/jinja/value.cpp | 83 ++++++++++++++++++++++++++---------------- common/jinja/value.h | 16 +++++++- tests/test-jinja.cpp | 82 ++++++++++++++++++++++++++++++++++++++--- 4 files changed, 144 insertions(+), 38 deletions(-) diff --git a/CODEOWNERS b/CODEOWNERS index 750096d9a1..55f5011dfa 100644 --- a/CODEOWNERS +++ b/CODEOWNERS @@ -15,6 +15,7 @@ /common/common.* @ggerganov /common/console.* @ggerganov /common/http.* @angt +/common/jinja/ @ngxson @CISC @aldehir /common/llguidance.* @ggerganov /common/log.* @ggerganov /common/peg-parser.* @aldehir diff --git a/common/jinja/value.cpp b/common/jinja/value.cpp index acf24257fb..4e309c1ad0 100644 --- a/common/jinja/value.cpp +++ b/common/jinja/value.cpp @@ -776,19 +776,30 @@ const func_builtins & value_array_t::get_builtins() const { if (!is_val(args.get_pos(0))) { throw raised_exception("join() first argument must be an array"); } - value val_delim = args.get_kwarg_or_pos("d", 1); - value val_attribute = args.get_kwarg_or_pos("attribute", 2); - if (!val_attribute->is_undefined()) { - throw not_implemented_exception("array attribute join not implemented"); - } + value val_delim = args.get_kwarg_or_pos("d", 1); + value attribute = args.get_kwarg_or_pos("attribute", 2); const auto & arr = args.get_pos(0)->as_array(); - std::string delim = is_val(val_delim) ? val_delim->as_string().str() : ""; + const bool attr_is_int = is_val(attribute); + if (!attribute->is_undefined() && !is_val(attribute) && !attr_is_int) { + throw raised_exception("join() attribute must be string or integer"); + } + const int64_t attr_int = attr_is_int ? attribute->as_int() : 0; + const std::string delim = val_delim->is_undefined() ? "" : val_delim->as_string().str(); + const std::string attr_name = attribute->is_undefined() ? "" : attribute->as_string().str(); std::string result; for (size_t i = 0; i < arr.size(); ++i) { - if (!is_val(arr[i]) && !is_val(arr[i]) && !is_val(arr[i])) { + value val_arr = arr[i]; + if (!attribute->is_undefined()) { + if (attr_is_int && is_val(val_arr)) { + val_arr = val_arr->at(attr_int); + } else if (!attr_is_int && !attr_name.empty() && is_val(val_arr)) { + val_arr = val_arr->at(attr_name); + } + } + if (!is_val(val_arr) && !is_val(val_arr) && !is_val(val_arr)) { throw raised_exception("join() can only join arrays of strings or numerics"); } - result += arr[i]->as_string().str(); + result += val_arr->as_string().str(); if (i < arr.size() - 1) { result += delim; } @@ -803,26 +814,30 @@ const func_builtins & value_array_t::get_builtins() const { }}, {"tojson", tojson}, {"map", [](const func_args & args) -> value { - args.ensure_count(2, 3); + args.ensure_count(2); if (!is_val(args.get_pos(0))) { throw raised_exception("map: first argument must be an array"); } - value attribute = args.get_kwarg_or_pos("attribute", 1); - if (is_val(attribute)) { - throw not_implemented_exception("map: integer attribute not implemented"); + if (!is_val(args.get_args().at(1))) { + throw not_implemented_exception("map: filter-mapping not implemented"); } - if (!is_val(attribute)) { + value attribute = args.get_kwarg_or_pos("attribute", 1); + const bool attr_is_int = is_val(attribute); + if (!is_val(attribute) && !attr_is_int) { throw raised_exception("map: attribute must be string or integer"); } - std::string attr_name = attribute->as_string().str(); + const int64_t attr_int = attr_is_int ? attribute->as_int() : 0; + const std::string attr_name = attribute->as_string().str(); value default_val = args.get_kwarg("default", mk_val()); auto out = mk_val(); auto arr = args.get_pos(0)->as_array(); for (const auto & item : arr) { - if (!is_val(item)) { - throw raised_exception("map: item is not an object"); + value attr_val; + if (attr_is_int) { + attr_val = is_val(item) ? item->at(attr_int, default_val) : default_val; + } else { + attr_val = is_val(item) ? item->at(attr_name, default_val) : default_val; } - value attr_val = item->at(attr_name, default_val); out->push_back(attr_val); } return out; @@ -848,29 +863,35 @@ const func_builtins & value_array_t::get_builtins() const { return arr_editable->pop_at(index); }}, {"sort", [](const func_args & args) -> value { - args.ensure_count(1, 3); + args.ensure_count(1, 4); if (!is_val(args.get_pos(0))) { throw raised_exception("sort: first argument must be an array"); } - bool reverse = args.get_kwarg("reverse", mk_val())->as_bool(); - value attribute = args.get_kwarg("attribute", mk_val()); - std::string attr = attribute->is_undefined() ? "" : attribute->as_string().str(); + value val_reverse = args.get_kwarg_or_pos("reverse", 1); + value val_case = args.get_kwarg_or_pos("case_sensitive", 2); + value attribute = args.get_kwarg_or_pos("attribute", 3); + // FIXME: sorting is currently always case sensitive + //const bool case_sensitive = val_case->as_bool(); // undefined == false + const bool reverse = val_reverse->as_bool(); // undefined == false + const bool attr_is_int = is_val(attribute); + const int64_t attr_int = attr_is_int ? attribute->as_int() : 0; + const std::string attr_name = attribute->is_undefined() ? "" : attribute->as_string().str(); std::vector arr = cast_val(args.get_pos(0))->as_array(); // copy std::sort(arr.begin(), arr.end(),[&](const value & a, const value & b) { value val_a = a; value val_b = b; if (!attribute->is_undefined()) { - if (!is_val(a) || !is_val(b)) { - throw raised_exception("sort: items are not objects"); + if (attr_is_int && is_val(a) && is_val(b)) { + val_a = a->at(attr_int); + val_b = b->at(attr_int); + } else if (!attr_is_int && !attr_name.empty() && is_val(a) && is_val(b)) { + val_a = a->at(attr_name); + val_b = b->at(attr_name); + } else { + throw raised_exception("sort: unsupported object attribute comparison"); } - val_a = attr.empty() ? a : a->at(attr); - val_b = attr.empty() ? b : b->at(attr); - } - if (reverse) { - return value_compare(val_a, val_b, value_compare_op::gt); - } else { - return !value_compare(val_a, val_b, value_compare_op::gt); } + return value_compare(val_a, val_b, reverse ? value_compare_op::gt : value_compare_op::lt); }); return mk_val(arr); }}, @@ -964,7 +985,7 @@ const func_builtins & value_object_t::get_builtins() const { value val_case = args.get_kwarg_or_pos("case_sensitive", 1); value val_by = args.get_kwarg_or_pos("by", 2); value val_reverse = args.get_kwarg_or_pos("reverse", 3); - // FIXME: sorting is case sensitive + // FIXME: sorting is currently always case sensitive //const bool case_sensitive = val_case->as_bool(); // undefined == false const bool reverse = val_reverse->as_bool(); // undefined == false if (!val_by->is_undefined()) { diff --git a/common/jinja/value.h b/common/jinja/value.h index 2fa87daf84..6ccb9e5611 100644 --- a/common/jinja/value.h +++ b/common/jinja/value.h @@ -168,8 +168,20 @@ struct value_t { } return val_obj.unordered.at(key); } - virtual value & at(size_t index) { - if (index >= val_arr.size()) { + virtual value & at(int64_t index, value & default_val) { + if (index < 0) { + index += val_arr.size(); + } + if (index < 0 || static_cast(index) >= val_arr.size()) { + return default_val; + } + return val_arr[index]; + } + virtual value & at(int64_t index) { + if (index < 0) { + index += val_arr.size(); + } + if (index < 0 || static_cast(index) >= val_arr.size()) { throw std::runtime_error("Index " + std::to_string(index) + " out of bounds for array of size " + std::to_string(val_arr.size())); } return val_arr[index]; diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp index 6ed0487685..fef0ef8ae0 100644 --- a/tests/test-jinja.cpp +++ b/tests/test-jinja.cpp @@ -389,6 +389,32 @@ static void test_filters(testing & t) { "123" ); + test_template(t, "sort reverse", + "{% for i in items|sort(true) %}{{ i }}{% endfor %}", + {{"items", json::array({3, 1, 2})}}, + "321" + ); + + test_template(t, "sort with attribute", + "{{ items|sort(attribute='name')|join(attribute='age') }}", + {{"items", json::array({ + json({{"name", "c"}, {"age", 3}}), + json({{"name", "a"}, {"age", 1}}), + json({{"name", "b"}, {"age", 2}}), + })}}, + "123" + ); + + test_template(t, "sort with numeric attribute", + "{{ items|sort(attribute=0)|join(attribute=1) }}", + {{"items", json::array({ + json::array({3, "z"}), + json::array({1, "x"}), + json::array({2, "y"}), + })}}, + "xyz" + ); + test_template(t, "join", "{{ items|join(', ') }}", {{"items", json::array({"a", "b", "c"})}}, @@ -1000,7 +1026,17 @@ static void test_array_methods(testing & t) { ); test_template(t, "array|join attribute", - "{{ arr|join(attribute=0) }}", + "{{ arr|join(attribute='age') }}", + {{"arr", json::array({ + json({{"name", "a"}, {"age", 1}}), + json({{"name", "b"}, {"age", 2}}), + json({{"name", "c"}, {"age", 3}}), + })}}, + "123" + ); + + test_template(t, "array|join numeric attribute", + "{{ arr|join(attribute=-1) }}", {{"arr", json::array({json::array({1}), json::array({2}), json::array({3})})}}, "123" ); @@ -1023,8 +1059,8 @@ static void test_array_methods(testing & t) { "a,b,c,d" ); - test_template(t, "array.map() with attribute", - "{% for v in arr.map('age') %}{{ v }} {% endfor %}", + test_template(t, "array|map with attribute", + "{% for v in arr|map(attribute='age') %}{{ v }} {% endfor %}", {{"arr", json::array({ json({{"name", "a"}, {"age", 1}}), json({{"name", "b"}, {"age", 2}}), @@ -1033,8 +1069,28 @@ static void test_array_methods(testing & t) { "1 2 3 " ); - test_template(t, "array.map() with numeric attribute", - "{% for v in arr.map(0) %}{{ v }} {% endfor %}", + test_template(t, "array|map with attribute default", + "{% for v in arr|map(attribute='age', default=3) %}{{ v }} {% endfor %}", + {{"arr", json::array({ + json({{"name", "a"}, {"age", 1}}), + json({{"name", "b"}, {"age", 2}}), + json({{"name", "c"}}), + })}}, + "1 2 3 " + ); + + test_template(t, "array|map without attribute default", + "{% for v in arr|map(attribute='age') %}{{ v }} {% endfor %}", + {{"arr", json::array({ + json({{"name", "a"}, {"age", 1}}), + json({{"name", "b"}, {"age", 2}}), + json({{"name", "c"}}), + })}}, + "1 2 " + ); + + test_template(t, "array|map with numeric attribute", + "{% for v in arr|map(attribute=0) %}{{ v }} {% endfor %}", {{"arr", json::array({ json::array({10, "x"}), json::array({20, "y"}), @@ -1043,6 +1099,22 @@ static void test_array_methods(testing & t) { "10 20 30 " ); + test_template(t, "array|map with negative attribute", + "{% for v in arr|map(attribute=-1) %}{{ v }} {% endfor %}", + {{"arr", json::array({ + json::array({10, "x"}), + json::array({20, "y"}), + json::array({30, "z"}), + })}}, + "x y z " + ); + + test_template(t, "array|map with filter", + "{{ arr|map('int')|sum }}", + {{"arr", json::array({"1", "2", "3"})}}, + "6" + ); + // not used by any chat templates // test_template(t, "array.insert()", // "{% set _ = arr.insert(1, 'x') %}{{ arr|join(',') }}", From bbcdac0189b847718026c77023a9f2c24523c4ba Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Sun, 18 Jan 2026 03:40:06 +0100 Subject: [PATCH 09/28] jinja : fix object item order (and properly implement dictsort) (#18904) * fix object item order * as_ordered_object * copy whole object --- common/jinja/runtime.cpp | 12 ++++-------- common/jinja/runtime.h | 2 +- common/jinja/value.cpp | 38 +++++++++++++++----------------------- common/jinja/value.h | 12 ++++++++++-- 4 files changed, 30 insertions(+), 34 deletions(-) diff --git a/common/jinja/runtime.cpp b/common/jinja/runtime.cpp index 03ac3d16ee..d8ef279080 100644 --- a/common/jinja/runtime.cpp +++ b/common/jinja/runtime.cpp @@ -268,8 +268,7 @@ value binary_expression::execute_impl(context & ctx) { // String in object if (is_val(left_val) && is_val(right_val)) { auto key = left_val->as_string().str(); - auto & obj = right_val->as_object(); - bool has_key = obj.find(key) != obj.end(); + bool has_key = right_val->has_key(key); if (op.value == "in") { return mk_val(has_key); } else if (op.value == "not in") { @@ -464,7 +463,7 @@ value for_statement::execute_impl(context & ctx) { std::vector items; if (is_val(iterable_val)) { JJ_DEBUG("%s", "For loop over object keys"); - auto & obj = iterable_val->as_object(); + auto & obj = iterable_val->as_ordered_object(); for (auto & p : obj) { auto tuple = mk_val(); if (iterable_val->val_obj.is_key_numeric) { @@ -779,11 +778,8 @@ value member_expression::execute_impl(context & ctx) { throw std::runtime_error("Cannot access object with non-string: got " + property->type()); } auto key = property->as_string().str(); - auto & obj = object->as_object(); - auto it = obj.find(key); - if (it != obj.end()) { - val = it->second; - } else { + val = object->at(key, val); + if (is_val(val)) { val = try_builtin_func(ctx, key, object, true); } JJ_DEBUG("Accessed property '%s' value, got type: %s", key.c_str(), val->type().c_str()); diff --git a/common/jinja/runtime.h b/common/jinja/runtime.h index de42b66c5f..dc7f4e471c 100644 --- a/common/jinja/runtime.h +++ b/common/jinja/runtime.h @@ -69,7 +69,7 @@ struct context { context(const context & parent) : context() { // inherit variables (for example, when entering a new scope) - auto & pvar = parent.env->as_object(); + auto & pvar = parent.env->as_ordered_object(); for (const auto & pair : pvar) { set_val(pair.first, pair.second); } diff --git a/common/jinja/value.cpp b/common/jinja/value.cpp index 4e309c1ad0..e414aad444 100644 --- a/common/jinja/value.cpp +++ b/common/jinja/value.cpp @@ -929,18 +929,13 @@ const func_builtins & value_object_t::get_builtins() const { if (args.count() == 3) { default_val = args.get_pos(2); } - const auto & obj = args.get_pos(0)->as_object(); + const value obj = args.get_pos(0); std::string key = args.get_pos(1)->as_string().str(); - auto it = obj.find(key); - if (it != obj.end()) { - return it->second; - } else { - return default_val; - } + return obj->at(key, default_val); }}, {"keys", [](const func_args & args) -> value { args.ensure_vals(); - const auto & obj = args.get_pos(0)->as_object(); + const auto & obj = args.get_pos(0)->as_ordered_object(); auto result = mk_val(); for (const auto & pair : obj) { result->push_back(mk_val(pair.first)); @@ -949,7 +944,7 @@ const func_builtins & value_object_t::get_builtins() const { }}, {"values", [](const func_args & args) -> value { args.ensure_vals(); - const auto & obj = args.get_pos(0)->as_object(); + const auto & obj = args.get_pos(0)->as_ordered_object(); auto result = mk_val(); for (const auto & pair : obj) { result->push_back(pair.second); @@ -958,7 +953,7 @@ const func_builtins & value_object_t::get_builtins() const { }}, {"items", [](const func_args & args) -> value { args.ensure_vals(); - const auto & obj = args.get_pos(0)->as_object(); + const auto & obj = args.get_pos(0)->as_ordered_object(); auto result = mk_val(); for (const auto & pair : obj) { auto item = mk_val(); @@ -972,7 +967,7 @@ const func_builtins & value_object_t::get_builtins() const { {"string", tojson}, {"length", [](const func_args & args) -> value { args.ensure_vals(); - const auto & obj = args.get_pos(0)->as_object(); + const auto & obj = args.get_pos(0)->as_ordered_object(); return mk_val(static_cast(obj.size())); }}, {"tojson", [](const func_args & args) -> value { @@ -988,18 +983,15 @@ const func_builtins & value_object_t::get_builtins() const { // FIXME: sorting is currently always case sensitive //const bool case_sensitive = val_case->as_bool(); // undefined == false const bool reverse = val_reverse->as_bool(); // undefined == false - if (!val_by->is_undefined()) { - throw not_implemented_exception("dictsort by key not implemented"); - } - if (reverse) { - throw not_implemented_exception("dictsort reverse not implemented"); - } - value_t::map obj = val_input->val_obj; // copy - std::sort(obj.ordered.begin(), obj.ordered.end(), [&](const auto & a, const auto & b) { - return a.first < b.first; + const bool by_value = is_val(val_by) && val_by->as_string().str() == "value" ? true : false; + auto result = mk_val(val_input); // copy + std::sort(result->val_obj.ordered.begin(), result->val_obj.ordered.end(), [&](const auto & a, const auto & b) { + if (by_value) { + return value_compare(a.second, b.second, reverse ? value_compare_op::gt : value_compare_op::lt); + } else { + return reverse ? a.first > b.first : a.first < b.first; + } }); - auto result = mk_val(); - result->val_obj = std::move(obj); return result; }}, {"join", [](const func_args &) -> value { @@ -1196,7 +1188,7 @@ static void value_to_json_internal(std::ostringstream & oss, const value & val, } oss << "]"; } else if (is_val(val)) { - const auto & obj = val->val_obj.ordered; // IMPORTANT: need to keep exact order + const auto & obj = val->as_ordered_object(); // IMPORTANT: need to keep exact order oss << "{"; if (!obj.empty()) { oss << newline(); diff --git a/common/jinja/value.h b/common/jinja/value.h index 6ccb9e5611..4e916919b3 100644 --- a/common/jinja/value.h +++ b/common/jinja/value.h @@ -146,7 +146,7 @@ struct value_t { virtual string as_string() const { throw std::runtime_error(type() + " is not a string value"); } virtual bool as_bool() const { throw std::runtime_error(type() + " is not a bool value"); } virtual const std::vector & as_array() const { throw std::runtime_error(type() + " is not an array value"); } - virtual const std::map & as_object() const { throw std::runtime_error(type() + " is not an object value"); } + virtual const std::vector> & as_ordered_object() const { throw std::runtime_error(type() + " is not an object value"); } virtual value invoke(const func_args &) const { throw std::runtime_error(type() + " is not a function value"); } virtual bool is_none() const { return false; } virtual bool is_undefined() const { return false; } @@ -154,6 +154,9 @@ struct value_t { throw std::runtime_error("No builtins available for type " + type()); } + virtual bool has_key(const std::string & key) { + return val_obj.unordered.find(key) != val_obj.unordered.end(); + } virtual value & at(const std::string & key, value & default_val) { auto it = val_obj.unordered.find(key); if (it == val_obj.unordered.end()) { @@ -308,11 +311,16 @@ struct value_object_t : public value_t { val_obj.insert(pair.first, pair.second); } } + value_object_t(const std::vector> & obj) { + for (const auto & pair : obj) { + val_obj.insert(pair.first, pair.second); + } + } void insert(const std::string & key, const value & val) { val_obj.insert(key, val); } virtual std::string type() const override { return "Object"; } - virtual const std::map & as_object() const override { return val_obj.unordered; } + virtual const std::vector> & as_ordered_object() const override { return val_obj.ordered; } virtual bool as_bool() const override { return !val_obj.unordered.empty(); } From fe44d355748d3fe8f4765fb38c49bf1663d06805 Mon Sep 17 00:00:00 2001 From: Xuan-Son Nguyen Date: Sun, 18 Jan 2026 08:14:27 +0100 Subject: [PATCH 10/28] tests : add test-jinja -py option for cross-checking (#18906) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * tests : add test-jinja -py option or cross-checking * Update tests/test-jinja.cpp Co-authored-by: Sigbjørn Skjæret * fix + add source * SandboxedEnvironment * fix array.map case --------- Co-authored-by: Sigbjørn Skjæret --- tests/test-jinja.cpp | 116 +++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 112 insertions(+), 4 deletions(-) diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp index fef0ef8ae0..13818381ed 100644 --- a/tests/test-jinja.cpp +++ b/tests/test-jinja.cpp @@ -4,6 +4,7 @@ #include #include +#include #include "jinja/runtime.h" #include "jinja/parser.h" @@ -31,12 +32,24 @@ static void test_array_methods(testing & t); static void test_object_methods(testing & t); static void test_fuzzing(testing & t); +static bool g_python_mode = false; + int main(int argc, char *argv[]) { testing t(std::cout); t.verbose = true; - if (argc >= 2) { - t.set_filter(argv[1]); + // usage: test-jinja [-py] [filter_regex] + // -py : enable python mode (use python jinja2 for rendering expected output) + // only use this for cross-checking, not for correctness + // note: the implementation of this flag is basic, only intented to be used by maintainers + + for (int i = 1; i < argc; i++) { + std::string arg = argv[i]; + if (arg == "-py") { + g_python_mode = true; + } else { + t.set_filter(arg); + } } t.test("whitespace control", test_whitespace_control); @@ -53,7 +66,9 @@ int main(int argc, char *argv[]) { t.test("string methods", test_string_methods); t.test("array methods", test_array_methods); t.test("object methods", test_object_methods); - t.test("fuzzing", test_fuzzing); + if (!g_python_mode) { + t.test("fuzzing", test_fuzzing); + } return t.summary(); } @@ -1215,7 +1230,7 @@ static void test_object_methods(testing & t) { ); } -static void test_template(testing & t, const std::string & name, const std::string & tmpl, const json & vars, const std::string & expect) { +static void test_template_cpp(testing & t, const std::string & name, const std::string & tmpl, const json & vars, const std::string & expect) { t.test(name, [&tmpl, &vars, &expect](testing & t) { jinja::lexer lexer; auto lexer_res = lexer.tokenize(tmpl); @@ -1248,6 +1263,99 @@ static void test_template(testing & t, const std::string & name, const std::stri }); } +// keep this in-sync with https://github.com/huggingface/transformers/blob/main/src/transformers/utils/chat_template_utils.py +// note: we use SandboxedEnvironment instead of ImmutableSandboxedEnvironment to allow usage of in-place array methods like append() and pop() +static std::string py_script = R"( +import jinja2 +import jinja2.ext as jinja2_ext +import json +import sys +from datetime import datetime +from jinja2.sandbox import SandboxedEnvironment + +tmpl = json.loads(sys.argv[1]) +vars_json = json.loads(sys.argv[2]) + +env = SandboxedEnvironment( + trim_blocks=True, + lstrip_blocks=True, + extensions=[jinja2_ext.loopcontrols], +) + +def raise_exception(message): + raise jinja2.exceptions.TemplateError(message) + +env.filters["tojson"] = lambda x, ensure_ascii=False, indent=None, separators=None, sort_keys=False: json.dumps(x, ensure_ascii=ensure_ascii, indent=indent, separators=separators, sort_keys=sort_keys) +env.globals["strftime_now"] = lambda format: datetime.now().strftime(format) +env.globals["raise_exception"] = raise_exception + +template = env.from_string(tmpl) +result = template.render(**vars_json) +print(result, end='') +)"; + +static void test_template_py(testing & t, const std::string & name, const std::string & tmpl, const json & vars, const std::string & expect) { + t.test(name, [&tmpl, &vars, &expect](testing & t) { + // Prepare arguments + std::string tmpl_json = json(tmpl).dump(); + std::string vars_json = vars.dump(); + +#ifdef _WIN32 + const char * python_executable = "python.exe"; +#else + const char * python_executable = "python3"; +#endif + + const char * command_line[] = {python_executable, "-c", py_script.c_str(), tmpl_json.c_str(), vars_json.c_str(), NULL}; + + struct subprocess_s subprocess; + int options = subprocess_option_combined_stdout_stderr + | subprocess_option_no_window + | subprocess_option_inherit_environment + | subprocess_option_search_user_path; + int result = subprocess_create(command_line, options, &subprocess); + + if (result != 0) { + t.log("Failed to create subprocess, error code: " + std::to_string(result)); + t.assert_true("subprocess creation", false); + return; + } + + // Read output + std::string output; + char buffer[1024]; + FILE * p_stdout = subprocess_stdout(&subprocess); + while (fgets(buffer, sizeof(buffer), p_stdout)) { + output += buffer; + } + + int process_return; + subprocess_join(&subprocess, &process_return); + subprocess_destroy(&subprocess); + + if (process_return != 0) { + t.log("Python script failed with exit code: " + std::to_string(process_return)); + t.log("Output: " + output); + t.assert_true("python execution", false); + return; + } + + if (!t.assert_true("Template render mismatch", expect == output)) { + t.log("Template: " + json(tmpl).dump()); + t.log("Expected: " + json(expect).dump()); + t.log("Python : " + json(output).dump()); + } + }); +} + +static void test_template(testing & t, const std::string & name, const std::string & tmpl, const json & vars, const std::string & expect) { + if (g_python_mode) { + test_template_py(t, name, tmpl, vars, expect); + } else { + test_template_cpp(t, name, tmpl, vars, expect); + } +} + // // fuzz tests to ensure no crashes occur on malformed inputs // From 293a1565dce30ede7bc64cf8973a901ce986074a Mon Sep 17 00:00:00 2001 From: Francisco Herrera Date: Sun, 18 Jan 2026 05:03:35 -0500 Subject: [PATCH 11/28] docs: add linux to index (#18907) --- docs/backend/OPENCL.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/backend/OPENCL.md b/docs/backend/OPENCL.md index 0561a74c47..044ac606ba 100644 --- a/docs/backend/OPENCL.md +++ b/docs/backend/OPENCL.md @@ -8,6 +8,7 @@ - [CMake Options](#cmake-options) - [Android](#android) - [Windows 11 Arm64](#windows-11-arm64) +- [Linux](#Linux) - [Known Issue](#known-issues) - [TODO](#todo) From 287a33017b32600bfc0e81feeb0ad6e81e0dd484 Mon Sep 17 00:00:00 2001 From: Julius Tischbein Date: Sun, 18 Jan 2026 17:35:57 +0100 Subject: [PATCH 12/28] llama : Extend fallback, fix fileno for dio file, exclude case that mmap uses dio file (#18887) --- src/llama-mmap.cpp | 6 +++++- src/llama-model-loader.cpp | 18 ++++++++++++------ 2 files changed, 17 insertions(+), 7 deletions(-) diff --git a/src/llama-mmap.cpp b/src/llama-mmap.cpp index fe0847fe1a..0261e4c72c 100644 --- a/src/llama-mmap.cpp +++ b/src/llama-mmap.cpp @@ -265,7 +265,8 @@ struct llama_file::impl { continue; // Interrupted by signal, retry } // Fallback to std::fread in case the DMA controller cannot access the buffer - if (errno == EFAULT) { + if (errno == EFAULT || errno == EINVAL) { + LLAMA_LOG_WARN("%s: Falling back to buffered IO due to %s\n", __func__, strerror(errno)); auto curr_off = tell(); close(fd); fd = -1; @@ -384,6 +385,9 @@ int llama_file::file_id() const { #ifdef _WIN32 return _fileno(pimpl->fp); #else + if (pimpl->fd != -1) { + return pimpl->fd; + } #if defined(fileno) return fileno(pimpl->fp); #else diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp index 300a322c51..383b8dc761 100644 --- a/src/llama-model-loader.cpp +++ b/src/llama-model-loader.cpp @@ -539,12 +539,18 @@ llama_model_loader::llama_model_loader( files.emplace_back(new llama_file(fname.c_str(), "rb", use_direct_io)); contexts.emplace_back(ctx); - use_direct_io = use_direct_io && files.back()->has_direct_io(); - - // Disable mmap in case Direct I/O is enabled and available - if (use_direct_io && use_mmap) { - use_mmap = false; - LLAMA_LOG_WARN("%s: direct I/O is enabled, disabling mmap\n", __func__); + if (use_mmap && use_direct_io) { + if (files.back()->has_direct_io()) { + // Disable mmap, as DirectIO is available + use_mmap = false; + LLAMA_LOG_WARN("%s: direct I/O is enabled, disabling mmap\n", __func__); + } else { + // Disable DirectIO and reopen file using std::fopen for mmap + use_direct_io = false; + files.pop_back(); + files.emplace_back(new llama_file(fname.c_str(), "rb", false)); + LLAMA_LOG_WARN("%s: direct I/O is not available, using mmap\n", __func__); + } } // Save tensors data offset of the main file. From 3d55846a5c626e2e608db8c24fa9ee6defaacca9 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 19 Jan 2026 13:12:38 +0100 Subject: [PATCH 13/28] model-conversion : add BUILD_DIR variable to run-converted-model scripts (#18927) This commit adds a BUILD_DIR variable to the scripts used for running converted models. The motivation for this is that currently the `build` directory is hardcoded and it can be useful to specify a different build directory, with builds for different configurations. --- .../causal/run-converted-model-embeddings-logits.sh | 9 +++++++-- .../scripts/causal/run-converted-model.sh | 11 ++++++++--- .../scripts/embedding/run-converted-model.sh | 5 +++-- 3 files changed, 18 insertions(+), 7 deletions(-) diff --git a/examples/model-conversion/scripts/causal/run-converted-model-embeddings-logits.sh b/examples/model-conversion/scripts/causal/run-converted-model-embeddings-logits.sh index 3cce3fc94d..1b5ff8611b 100755 --- a/examples/model-conversion/scripts/causal/run-converted-model-embeddings-logits.sh +++ b/examples/model-conversion/scripts/causal/run-converted-model-embeddings-logits.sh @@ -4,6 +4,7 @@ set -e # First try command line argument, then environment variable, then file CONVERTED_MODEL="${1:-"$CONVERTED_MODEL"}" +BUILD_DIR="${2:-"$BUILD_DIR"}" # Final check if we have a model path if [ -z "$CONVERTED_MODEL" ]; then @@ -13,6 +14,10 @@ if [ -z "$CONVERTED_MODEL" ]; then exit 1 fi -cmake --build ../../build --target llama-debug -j8 +if [ -z "$BUILD_DIR" ]; then + BUILD_DIR="../../build" +fi -../../build/bin/llama-debug -m $CONVERTED_MODEL --embedding -p "Hello world today" --save-logits +cmake --build ${BUILD_DIR} --target llama-debug -j8 + +${BUILD_DIR}/bin/llama-debug -m $CONVERTED_MODEL --embedding -p "Hello world today" --save-logits diff --git a/examples/model-conversion/scripts/causal/run-converted-model.sh b/examples/model-conversion/scripts/causal/run-converted-model.sh index b6c3d38662..b684804e02 100755 --- a/examples/model-conversion/scripts/causal/run-converted-model.sh +++ b/examples/model-conversion/scripts/causal/run-converted-model.sh @@ -5,11 +5,16 @@ set -e # First try command line argument, then environment variable, then file CONVERTED_MODEL="${1:-"$CONVERTED_MODEL"}" MODEL_TESTING_PROMPT="${2:-"$MODEL_TESTING_PROMPT"}" +BUILD_DIR="${3:-"$BUILD_DIR"}" -if [ -z "$MODEL_TESTING_PROMPT"]; then +if [ -z "$MODEL_TESTING_PROMPT" ]; then MODEL_TESTING_PROMPT="Hello, my name is" fi +if [ -z "$BUILD_DIR" ]; then + BUILD_DIR="../../build" +fi + # Final check if we have a model path if [ -z "$CONVERTED_MODEL" ]; then echo "Error: Model path must be provided either as:" >&2 @@ -21,6 +26,6 @@ fi echo $CONVERTED_MODEL echo $MODEL_TESTING_PROMPT -cmake --build ../../build --target llama-debug -j8 +cmake --build ${BUILD_DIR} --target llama-debug -j8 -../../build/bin/llama-debug -m "$CONVERTED_MODEL" -p "$MODEL_TESTING_PROMPT" --save-logits +${BUILD_DIR}/bin/llama-debug -m "$CONVERTED_MODEL" -p "$MODEL_TESTING_PROMPT" --save-logits diff --git a/examples/model-conversion/scripts/embedding/run-converted-model.sh b/examples/model-conversion/scripts/embedding/run-converted-model.sh index 84625cec3d..ba8a3afae6 100755 --- a/examples/model-conversion/scripts/embedding/run-converted-model.sh +++ b/examples/model-conversion/scripts/embedding/run-converted-model.sh @@ -28,6 +28,7 @@ done # First try command line argument, then environment variable CONVERTED_MODEL="${CONVERTED_MODEL:-"$CONVERTED_EMBEDDING_MODEL"}" +BUILD_DIR="${BUILD_DIR:-"../../build"}" # Final check if we have a model path if [ -z "$CONVERTED_MODEL" ]; then @@ -50,5 +51,5 @@ fi echo $CONVERTED_MODEL -cmake --build ../../build --target llama-debug -j8 -../../build/bin/llama-debug -m "$CONVERTED_MODEL" --embedding -p "$PROMPT" --save-logits --embd-normalize $EMBD_NORMALIZE +cmake --build ${BUILD_DIR} --target llama-debug -j8 +${BUILD_DIR}/bin/llama-debug -m "$CONVERTED_MODEL" --embedding -p "$PROMPT" --save-logits --embd-normalize $EMBD_NORMALIZE From 365a3e8c319ddb5442afdf17d0d23dfa0ff26c78 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 19 Jan 2026 20:03:19 +0200 Subject: [PATCH 14/28] ggml : add ggml_build_forward_select (#18550) * ggml : add ggml_build_forward_select * cuda : adapt CUDA graph compat to new feature * vulkan : update logic to handle command buffer closing * ggml : check compute for fusion * ggml : add comment --- ggml/include/ggml.h | 46 ++++++++++++++--- ggml/src/ggml-backend.cpp | 5 +- ggml/src/ggml-blas/ggml-blas.cpp | 4 ++ ggml/src/ggml-cann/ggml-cann.cpp | 4 ++ ggml/src/ggml-cpu/ggml-cpu.c | 4 ++ ggml/src/ggml-cuda/common.cuh | 1 + ggml/src/ggml-cuda/ggml-cuda.cu | 8 +++ ggml/src/ggml-hexagon/ggml-hexagon.cpp | 4 ++ ggml/src/ggml-impl.h | 3 ++ ggml/src/ggml-metal/ggml-metal-ops.cpp | 4 ++ ggml/src/ggml-opencl/ggml-opencl.cpp | 4 ++ ggml/src/ggml-sycl/ggml-sycl.cpp | 3 ++ ggml/src/ggml-vulkan/ggml-vulkan.cpp | 5 +- ggml/src/ggml-webgpu/ggml-webgpu.cpp | 3 ++ ggml/src/ggml-zdnn/ggml-zdnn.cpp | 4 ++ ggml/src/ggml-zendnn/ggml-zendnn.cpp | 4 ++ ggml/src/ggml.c | 70 +++++++++++++++++++------- 17 files changed, 148 insertions(+), 28 deletions(-) diff --git a/ggml/include/ggml.h b/ggml/include/ggml.h index b69583dd3f..1988d16dc4 100644 --- a/ggml/include/ggml.h +++ b/ggml/include/ggml.h @@ -630,10 +630,11 @@ extern "C" { // this tensor... enum ggml_tensor_flag { - GGML_TENSOR_FLAG_INPUT = 1, // ...is an input for the GGML compute graph - GGML_TENSOR_FLAG_OUTPUT = 2, // ...is an output for the GGML compute graph - GGML_TENSOR_FLAG_PARAM = 4, // ...contains trainable parameters - GGML_TENSOR_FLAG_LOSS = 8, // ...defines loss for numerical optimization (multiple loss tensors add up) + GGML_TENSOR_FLAG_INPUT = 1, // ...is an input for the GGML compute graph + GGML_TENSOR_FLAG_OUTPUT = 2, // ...is an output for the GGML compute graph + GGML_TENSOR_FLAG_PARAM = 4, // ...contains trainable parameters + GGML_TENSOR_FLAG_LOSS = 8, // ...defines loss for numerical optimization (multiple loss tensors add up) + GGML_TENSOR_FLAG_COMPUTE = 16, // ...must be computed }; enum ggml_tri_type { @@ -2577,11 +2578,42 @@ extern "C" { struct ggml_tensor * grad, struct ggml_tensor * sgd_params); // alpha, weight decay + // build forward mutiple tensors and select one of them for computing + // this is useful for creating graphs that have constant topology but compute different things based on the input + // ref: https://github.com/ggml-org/llama.cpp/pull/18550 // - // automatic differentiation + // nodes: + // | - build forward into the graph but do not compute + // c - build forward into the graph and compute // + // | | ... c ... | + // | | ... c ... | + // | | ... c ... | + // [0 1 ... idx ... n-1] <-- ggml_build_forward_select(..., n, idx) + // c + // c + // + // example: + // struct ggml_tensor * curs[3]; + // + // curs[0] = compute0(...); + // curs[1] = compute1(...); + // curs[2] = compute2(...); + // + // int idx = select_branch(some_input); + // + // struct ggml_tensor * out = ggml_build_forward_select(cgraph, curs, 3, idx); + // + GGML_API struct ggml_tensor * ggml_build_forward_select( + struct ggml_cgraph * cgraph, + struct ggml_tensor ** tensors, + int n_tensors, + int idx); + + GGML_API void ggml_build_forward_expand( + struct ggml_cgraph * cgraph, + struct ggml_tensor * tensor); - GGML_API void ggml_build_forward_expand(struct ggml_cgraph * cgraph, struct ggml_tensor * tensor); GGML_API void ggml_build_backward_expand( struct ggml_context * ctx, // context for gradient computation struct ggml_cgraph * cgraph, @@ -2613,7 +2645,7 @@ extern "C" { GGML_API void ggml_graph_print(const struct ggml_cgraph * cgraph); // dump the graph into a file using the dot format - GGML_API void ggml_graph_dump_dot(const struct ggml_cgraph * gb, const struct ggml_cgraph * gf, const char * filename); + GGML_API void ggml_graph_dump_dot(const struct ggml_cgraph * gb, const struct ggml_cgraph * cgraph, const char * filename); // TODO these functions were sandwiched in the old optimization interface, is there a better place for them? typedef void (*ggml_log_callback)(enum ggml_log_level level, const char * text, void * user_data); diff --git a/ggml/src/ggml-backend.cpp b/ggml/src/ggml-backend.cpp index 1b59924b8c..354876574a 100644 --- a/ggml/src/ggml-backend.cpp +++ b/ggml/src/ggml-backend.cpp @@ -874,9 +874,9 @@ static void ggml_backend_sched_print_assignments(ggml_backend_sched_t sched, str } if (sched->debug > 1) { ggml_backend_t tensor_backend = ggml_backend_sched_get_tensor_backend(sched, node); - GGML_LOG_DEBUG("node #%3d (%10.10s): %20.20s (%5.5s) [%5.5s %8.8s] use=%d:", i, ggml_op_name(node->op), node->name, + GGML_LOG_DEBUG("node #%3d (%10.10s): %20.20s (%5.5s) [%5.5s %8.8s] use=%d,c=%d:", i, ggml_op_name(node->op), node->name, fmt_size(ggml_nbytes(node)), tensor_backend ? ggml_backend_name(tensor_backend) : "NULL", GET_CAUSE(node), - graph->use_counts[ggml_hash_find(&graph->visited_hash_set, node)]); + graph->use_counts[ggml_hash_find(&graph->visited_hash_set, node)], node->flags & GGML_TENSOR_FLAG_COMPUTE ? 1 : 0); for (int j = 0; j < GGML_MAX_SRC; j++) { struct ggml_tensor * src = node->src[j]; if (src == NULL) { @@ -1922,6 +1922,7 @@ static struct ggml_tensor * graph_copy_dup_tensor(struct ggml_hash_set hash_set, dst->view_offs = src->view_offs; } dst->op = src->op; + dst->flags = src->flags; memcpy(dst->op_params, src->op_params, sizeof(dst->op_params)); ggml_set_name(dst, src->name); diff --git a/ggml/src/ggml-blas/ggml-blas.cpp b/ggml/src/ggml-blas/ggml-blas.cpp index 84956cbb9c..2e9ddf2240 100644 --- a/ggml/src/ggml-blas/ggml-blas.cpp +++ b/ggml/src/ggml-blas/ggml-blas.cpp @@ -226,6 +226,10 @@ static enum ggml_status ggml_backend_blas_graph_compute(ggml_backend_t backend, for (int i = 0; i < cgraph->n_nodes; i++) { struct ggml_tensor * node = cgraph->nodes[i]; + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } + switch (node->op) { case GGML_OP_MUL_MAT: ggml_backend_blas_mul_mat(ctx, node); diff --git a/ggml/src/ggml-cann/ggml-cann.cpp b/ggml/src/ggml-cann/ggml-cann.cpp index eba83327f1..42c6c67a40 100644 --- a/ggml/src/ggml-cann/ggml-cann.cpp +++ b/ggml/src/ggml-cann/ggml-cann.cpp @@ -2146,6 +2146,10 @@ static void evaluate_and_capture_cann_graph(ggml_backend_cann_context * cann_ctx continue; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } + bool ok = ggml_cann_compute_forward(*cann_ctx, node); if (!ok) { GGML_LOG_ERROR("%s: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op)); diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c index f7ba1fe317..4c7a75e768 100644 --- a/ggml/src/ggml-cpu/ggml-cpu.c +++ b/ggml/src/ggml-cpu/ggml-cpu.c @@ -2943,6 +2943,10 @@ static thread_ret_t ggml_graph_compute_thread(void * data) { continue; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } + ggml_compute_forward(¶ms, node); if (state->ith == 0 && cplan->abort_callback && diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh index eaaf87612d..179522d835 100644 --- a/ggml/src/ggml-cuda/common.cuh +++ b/ggml/src/ggml-cuda/common.cuh @@ -1123,6 +1123,7 @@ struct ggml_tensor_extra_gpu { struct ggml_cuda_graph_node_properties { void * node_address; ggml_op node_op; + int32_t flags; int64_t ne[GGML_MAX_DIMS]; size_t nb[GGML_MAX_DIMS]; void * src_address[GGML_MAX_SRC]; diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index ed1021469a..cda422defb 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -2918,6 +2918,7 @@ static bool ggml_cuda_graph_check_compability(ggml_cgraph * cgraph) { static void ggml_cuda_graph_node_set_properties(ggml_cuda_graph_node_properties * props, ggml_tensor * node) { props->node_address = node->data; props->node_op = node->op; + props->flags = node->flags; for (int i = 0; i < GGML_MAX_DIMS; i++) { props->ne[i] = node->ne[i]; props->nb[i] = node->nb[i]; @@ -2961,6 +2962,10 @@ static bool ggml_cuda_graph_node_properties_match(ggml_tensor * node, ggml_cuda_ return false; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) != (props->flags & GGML_TENSOR_FLAG_COMPUTE)) { + return false; + } + return true; } @@ -3378,6 +3383,9 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud continue; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } // start of fusion operations static bool disable_fusion = (getenv("GGML_CUDA_DISABLE_FUSION") != nullptr); diff --git a/ggml/src/ggml-hexagon/ggml-hexagon.cpp b/ggml/src/ggml-hexagon/ggml-hexagon.cpp index cf1eb994c3..5b835c11c7 100644 --- a/ggml/src/ggml-hexagon/ggml-hexagon.cpp +++ b/ggml/src/ggml-hexagon/ggml-hexagon.cpp @@ -2497,6 +2497,10 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg continue; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } + uint32_t flags = 0; // skip quantizer if src1 is reused diff --git a/ggml/src/ggml-impl.h b/ggml/src/ggml-impl.h index 80e0fd2ff8..baadfe9a7b 100644 --- a/ggml/src/ggml-impl.h +++ b/ggml/src/ggml-impl.h @@ -611,6 +611,9 @@ static inline bool ggml_can_fuse_ext(const struct ggml_cgraph * cgraph, const in if (node->op != ops[i]) { return false; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + return false; + } if (i < num_ops - 1 && !ggml_node_has_n_uses(cgraph, node_idxs[i], 1)) { return false; } diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp index 680ad794de..3d97d3dfdc 100644 --- a/ggml/src/ggml-metal/ggml-metal-ops.cpp +++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp @@ -203,6 +203,10 @@ static int ggml_metal_op_encode_impl(ggml_metal_op_t ctx, int idx) { GGML_ABORT("unsupported op"); } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + return 1; + } + int n_fuse = 1; // check if the current node can run concurrently with other nodes before it diff --git a/ggml/src/ggml-opencl/ggml-opencl.cpp b/ggml/src/ggml-opencl/ggml-opencl.cpp index d89d5e7242..8059240b1c 100644 --- a/ggml/src/ggml-opencl/ggml-opencl.cpp +++ b/ggml/src/ggml-opencl/ggml-opencl.cpp @@ -3058,6 +3058,10 @@ static ggml_status ggml_backend_opencl_graph_compute(ggml_backend_t backend, ggm continue; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } + if (!backend_ctx->disable_fusion && ggml_opencl_can_fuse(cgraph, i, { GGML_OP_NORM, GGML_OP_MUL, GGML_OP_ADD })) { ggml_opencl_op_norm_fused(backend, node, cgraph->nodes[i+1], cgraph->nodes[i+2]); i += 2; diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp index 8f8176b678..bb8acc922b 100644 --- a/ggml/src/ggml-sycl/ggml-sycl.cpp +++ b/ggml/src/ggml-sycl/ggml-sycl.cpp @@ -4109,6 +4109,9 @@ static void ggml_backend_sycl_graph_compute_impl(ggml_backend_sycl_context * syc if (ggml_is_empty(node) || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_TRANSPOSE || node->op == GGML_OP_VIEW || node->op == GGML_OP_PERMUTE || node->op == GGML_OP_NONE) { continue; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } #ifndef NDEBUG assert(node->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device)); for (int j = 0; j < GGML_MAX_SRC; j++) { diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 0fabbcec31..08fd044ca0 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -12191,6 +12191,9 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr if (ggml_is_empty(node) || ggml_op_is_empty(node->op) || !node->buffer) { return false; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + return false; + } VK_LOG_DEBUG("ggml_vk_build_graph(" << node << ", " << ggml_op_name(node->op) << ")"); ctx->semaphore_idx = 0; @@ -13645,7 +13648,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg int last_node = cgraph->n_nodes - 1; // If the last op in the cgraph isn't backend GPU, the command buffer doesn't get closed properly - while (last_node > 0 && ggml_vk_is_empty(cgraph->nodes[last_node])) { + while (last_node > 0 && (ggml_vk_is_empty(cgraph->nodes[last_node]) || ((cgraph->nodes[last_node]->flags & GGML_TENSOR_FLAG_COMPUTE) == 0))) { last_node -= 1; } diff --git a/ggml/src/ggml-webgpu/ggml-webgpu.cpp b/ggml/src/ggml-webgpu/ggml-webgpu.cpp index 1470378af0..584cea7698 100644 --- a/ggml/src/ggml-webgpu/ggml-webgpu.cpp +++ b/ggml/src/ggml-webgpu/ggml-webgpu.cpp @@ -1982,6 +1982,9 @@ static std::optional ggml_webgpu_encode_node(webgpu_context ctx, if (ggml_is_empty(node)) { return std::nullopt; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + return std::nullopt; + } WEBGPU_LOG_DEBUG("ggml_webgpu_encode_node(" << node << ", " << ggml_op_name(node->op) << ")"); ggml_tensor * src0 = node->src[0]; diff --git a/ggml/src/ggml-zdnn/ggml-zdnn.cpp b/ggml/src/ggml-zdnn/ggml-zdnn.cpp index edbeb8eef2..906d25417e 100644 --- a/ggml/src/ggml-zdnn/ggml-zdnn.cpp +++ b/ggml/src/ggml-zdnn/ggml-zdnn.cpp @@ -58,6 +58,10 @@ static enum ggml_status ggml_zdnn_graph_compute(ggml_backend_t backend, ggml_cgr continue; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } + bool ok = ggml_zdnn_compute_forward(ctx, node); if (!ok) { GGML_LOG_ERROR("%s: unsupported op %s (%s)\n", diff --git a/ggml/src/ggml-zendnn/ggml-zendnn.cpp b/ggml/src/ggml-zendnn/ggml-zendnn.cpp index fd07f983da..afbecde7a5 100644 --- a/ggml/src/ggml-zendnn/ggml-zendnn.cpp +++ b/ggml/src/ggml-zendnn/ggml-zendnn.cpp @@ -211,6 +211,10 @@ static ggml_status ggml_backend_zendnn_graph_compute(ggml_backend_t backend, ggm for (int i = 0; i < cgraph->n_nodes; i++) { struct ggml_tensor * node = cgraph->nodes[i]; + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + continue; + } + switch (node->op) { case GGML_OP_MUL_MAT: ggml_zendnn_compute_forward_mul_mat(ctx, node); diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c index c75fe7d271..1725ad1654 100644 --- a/ggml/src/ggml.c +++ b/ggml/src/ggml.c @@ -3441,7 +3441,8 @@ struct ggml_tensor * ggml_cast( result->op = GGML_OP_CPY; result->src[0] = a; - result->src[1] = result; + result->src[1] = result; // note: this self-reference might seem redundant, but it's actually needed by some + // backends for consistency with ggml_cpy_impl() above return result; } @@ -6725,20 +6726,35 @@ static void ggml_compute_backward( GGML_ASSERT(!src2_needs_grads || ggml_are_same_shape(src2, cgraph->grads[isrc2])); } -static size_t ggml_visit_parents(struct ggml_cgraph * cgraph, struct ggml_tensor * node) { - // check if already visited - size_t node_hash_pos = ggml_hash_find(&cgraph->visited_hash_set, node); +static size_t ggml_visit_parents_graph(struct ggml_cgraph * cgraph, struct ggml_tensor * node, bool compute) { + if (node->op != GGML_OP_NONE && compute) { + node->flags |= GGML_TENSOR_FLAG_COMPUTE; + } + + const size_t node_hash_pos = ggml_hash_find(&cgraph->visited_hash_set, node); GGML_ASSERT(node_hash_pos != GGML_HASHSET_FULL); - if (!ggml_bitset_get(cgraph->visited_hash_set.used, node_hash_pos)) { - // This is the first time we see this node in the current graph. - cgraph->visited_hash_set.keys[node_hash_pos] = node; - ggml_bitset_set(cgraph->visited_hash_set.used, node_hash_pos); - cgraph->use_counts[node_hash_pos] = 0; - } else { + + if (ggml_bitset_get(cgraph->visited_hash_set.used, node_hash_pos)) { // already visited + + if (compute) { + // update the compute flag regardless + for (int i = 0; i < GGML_MAX_SRC; ++i) { + struct ggml_tensor * src = node->src[i]; + if (src && ((src->flags & GGML_TENSOR_FLAG_COMPUTE) == 0)) { + ggml_visit_parents_graph(cgraph, src, true); + } + } + } + return node_hash_pos; } + // This is the first time we see this node in the current graph. + cgraph->visited_hash_set.keys[node_hash_pos] = node; + ggml_bitset_set(cgraph->visited_hash_set.used, node_hash_pos); + cgraph->use_counts[node_hash_pos] = 0; + for (int i = 0; i < GGML_MAX_SRC; ++i) { const int k = (cgraph->order == GGML_CGRAPH_EVAL_ORDER_LEFT_TO_RIGHT) ? i : @@ -6747,7 +6763,7 @@ static size_t ggml_visit_parents(struct ggml_cgraph * cgraph, struct ggml_tensor struct ggml_tensor * src = node->src[k]; if (src) { - size_t src_hash_pos = ggml_visit_parents(cgraph, src); + const size_t src_hash_pos = ggml_visit_parents_graph(cgraph, src, compute); // Update the use count for this operand. cgraph->use_counts[src_hash_pos]++; @@ -6778,17 +6794,17 @@ static size_t ggml_visit_parents(struct ggml_cgraph * cgraph, struct ggml_tensor return node_hash_pos; } -static void ggml_build_forward_impl(struct ggml_cgraph * cgraph, struct ggml_tensor * tensor, bool expand) { +static void ggml_build_forward_impl(struct ggml_cgraph * cgraph, struct ggml_tensor * tensor, bool expand, bool compute) { if (!expand) { // TODO: this branch isn't accessible anymore, maybe move this to ggml_build_forward_expand ggml_graph_clear(cgraph); } - const int n0 = cgraph->n_nodes; + const int n_old = cgraph->n_nodes; - ggml_visit_parents(cgraph, tensor); + ggml_visit_parents_graph(cgraph, tensor, compute); - const int n_new = cgraph->n_nodes - n0; + const int n_new = cgraph->n_nodes - n_old; GGML_PRINT_DEBUG("%s: visited %d new nodes\n", __func__, n_new); if (n_new > 0) { @@ -6797,8 +6813,22 @@ static void ggml_build_forward_impl(struct ggml_cgraph * cgraph, struct ggml_ten } } +struct ggml_tensor * ggml_build_forward_select( + struct ggml_cgraph * cgraph, + struct ggml_tensor ** tensors, + int n_tensors, + int idx) { + GGML_ASSERT(idx >= 0 && idx < n_tensors); + + for (int i = 0; i < n_tensors; i++) { + ggml_build_forward_impl(cgraph, tensors[i], true, i == idx ? true : false); + } + + return tensors[idx]; +} + void ggml_build_forward_expand(struct ggml_cgraph * cgraph, struct ggml_tensor * tensor) { - ggml_build_forward_impl(cgraph, tensor, true); + ggml_build_forward_impl(cgraph, tensor, true, true); } void ggml_build_backward_expand( @@ -7229,6 +7259,10 @@ bool ggml_can_fuse_subgraph_ext(const struct ggml_cgraph * cgraph, return false; } + if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) { + return false; + } + if (ggml_node_list_find_tensor(cgraph, outputs, num_outputs, node) != -1) { continue; } @@ -7310,7 +7344,7 @@ static void ggml_graph_dump_dot_leaf_edge(FILE * fp, struct ggml_tensor * node, label); } -void ggml_graph_dump_dot(const struct ggml_cgraph * gb, const struct ggml_cgraph * gf, const char * filename) { +void ggml_graph_dump_dot(const struct ggml_cgraph * gb, const struct ggml_cgraph * cgraph, const char * filename) { char color[16]; FILE * fp = ggml_fopen(filename, "w"); @@ -7331,7 +7365,7 @@ void ggml_graph_dump_dot(const struct ggml_cgraph * gb, const struct ggml_cgraph if (node->flags & GGML_TENSOR_FLAG_PARAM) { snprintf(color, sizeof(color), "yellow"); } else if (grad) { - if (ggml_graph_find(gf, node)) { + if (ggml_graph_find(cgraph, node)) { snprintf(color, sizeof(color), "green"); } else { snprintf(color, sizeof(color), "lightblue"); From 18361c579cc7ed0a06ed9085eaf900326b537fa7 Mon Sep 17 00:00:00 2001 From: Lennart Austenfeld <53152202+l-austenfeld@users.noreply.github.com> Date: Mon, 19 Jan 2026 19:13:31 +0100 Subject: [PATCH 15/28] server: fix memory reservations in populate_token_probs (#18787) --- tools/server/server-context.cpp | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp index 82294d9402..c790ac79e1 100644 --- a/tools/server/server-context.cpp +++ b/tools/server/server-context.cpp @@ -1326,11 +1326,12 @@ private: } void populate_token_probs(const server_slot & slot, completion_token_output & result, bool post_sampling, bool special, int idx) const { - const size_t n_probs = slot.task->params.sampling.n_probs; + const size_t n_probs_request = slot.task->params.sampling.n_probs; if (post_sampling) { const auto * cur_p = common_sampler_get_candidates(slot.smpl.get(), true); const size_t max_probs = cur_p->size; + const size_t n_probs = std::min(max_probs, n_probs_request); // set probability for sampled token for (size_t i = 0; i < max_probs; i++) { @@ -1341,8 +1342,8 @@ private: } // set probability for top n_probs tokens - result.probs.reserve(max_probs); - for (size_t i = 0; i < std::min(max_probs, n_probs); i++) { + result.probs.reserve(n_probs); + for (size_t i = 0; i < n_probs; i++) { result.probs.push_back({ cur_p->data[i].id, common_token_to_piece(ctx, cur_p->data[i].id, special), @@ -1352,9 +1353,11 @@ private: } else { // TODO: optimize this with min-p optimization std::vector cur = get_token_probabilities(ctx, idx); + const size_t max_probs = cur.size(); + const size_t n_probs = std::min(max_probs, n_probs_request); // set probability for sampled token - for (size_t i = 0; i < cur.size(); i++) { + for (size_t i = 0; i < max_probs; i++) { // set probability for sampled token if (cur[i].id == result.tok) { result.prob = cur[i].p; @@ -1364,7 +1367,7 @@ private: // set probability for top n_probs tokens result.probs.reserve(n_probs); - for (size_t i = 0; i < std::min(cur.size(), n_probs); i++) { + for (size_t i = 0; i < n_probs; i++) { result.probs.push_back({ cur[i].id, common_token_to_piece(ctx, cur[i].id, special), From 4037093c66bfe53b9b27d72765416815fdb0398f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Mon, 19 Jan 2026 20:29:15 +0100 Subject: [PATCH 16/28] ci : run test-jinja -py on high perf [no ci] (#18916) --- ci/run.sh | 2 +- tests/CMakeLists.txt | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/ci/run.sh b/ci/run.sh index 6ca6ea5669..dfcf959661 100755 --- a/ci/run.sh +++ b/ci/run.sh @@ -254,7 +254,7 @@ function gg_run_ctest_release { (time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log if [ -z ${GG_BUILD_LOW_PERF} ]; then - (time ctest --output-on-failure -L main ) 2>&1 | tee -a $OUT/${ci}-ctest.log + (time ctest --output-on-failure -L 'main|python' ) 2>&1 | tee -a $OUT/${ci}-ctest.log else (time ctest --output-on-failure -L main -E test-opt ) 2>&1 | tee -a $OUT/${ci}-ctest.log fi diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 3eae18eefd..c9436c5995 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -187,6 +187,7 @@ 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-json-partial.cpp) llama_build_and_test(test-log.cpp) llama_build_and_test( From 959ecf7f234dc0bc0cd6829b25cb0ee1481aa78a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Mon, 19 Jan 2026 20:29:43 +0100 Subject: [PATCH 17/28] jinja : fix undefined keys and attributes and int/float as bool (#18924) * fix undefined keys and attributes * add falsy tests * as_bool for integers and floats * more falsy/truthy tests * --typo --- common/jinja/runtime.cpp | 4 +-- common/jinja/value.h | 6 ++++ tests/test-jinja.cpp | 78 ++++++++++++++++++++++++++++++++++++++++ 3 files changed, 86 insertions(+), 2 deletions(-) diff --git a/common/jinja/runtime.cpp b/common/jinja/runtime.cpp index d8ef279080..e3e4ebf1ec 100644 --- a/common/jinja/runtime.cpp +++ b/common/jinja/runtime.cpp @@ -805,7 +805,7 @@ value member_expression::execute_impl(context & ctx) { } else if (is_val(property)) { auto key = property->as_string().str(); JJ_DEBUG("Accessing %s built-in '%s'", is_val(object) ? "array" : "string", key.c_str()); - val = try_builtin_func(ctx, key, object); + val = try_builtin_func(ctx, key, object, true); } else { throw std::runtime_error("Cannot access property with non-string/non-number: got " + property->type()); } @@ -814,7 +814,7 @@ value member_expression::execute_impl(context & ctx) { throw std::runtime_error("Cannot access property with non-string: got " + property->type()); } auto key = property->as_string().str(); - val = try_builtin_func(ctx, key, object); + val = try_builtin_func(ctx, key, object, true); } if (ctx.is_get_stats && val && object && property) { diff --git a/common/jinja/value.h b/common/jinja/value.h index 4e916919b3..7bd0202cea 100644 --- a/common/jinja/value.h +++ b/common/jinja/value.h @@ -203,6 +203,9 @@ struct value_int_t : public value_t { virtual int64_t as_int() const override { return val_int; } virtual double as_float() const override { return static_cast(val_int); } virtual string as_string() const override { return std::to_string(val_int); } + virtual bool as_bool() const override { + return val_int != 0; + } virtual const func_builtins & get_builtins() const override; }; using value_int = std::shared_ptr; @@ -219,6 +222,9 @@ struct value_float_t : public value_t { if (out.back() == '.') out.push_back('0'); // leave one zero if no decimals return out; } + virtual bool as_bool() const override { + return val_flt != 0.0; + } virtual const func_builtins & get_builtins() const override; }; using value_float = std::shared_ptr; diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp index 13818381ed..99630ecb3b 100644 --- a/tests/test-jinja.cpp +++ b/tests/test-jinja.cpp @@ -191,6 +191,84 @@ static void test_conditionals(testing & t) { json::object(), "yes" ); + + test_template(t, "is undefined falsy", + "{{ 'yes' if not y else 'no' }}", + json::object(), + "yes" + ); + + test_template(t, "is undefined attribute falsy", + "{{ 'yes' if not y.x else 'no' }}", + {{"y", true}}, + "yes" + ); + + test_template(t, "is undefined key falsy", + "{{ 'yes' if not y['x'] else 'no' }}", + {{"y", {{}}}}, + "yes" + ); + + test_template(t, "is empty array falsy", + "{{ 'yes' if not y else 'no' }}", + {{"y", json::array()}}, + "yes" + ); + + test_template(t, "is empty object falsy", + "{{ 'yes' if not y else 'no' }}", + {{"y", json::object()}}, + "yes" + ); + + test_template(t, "is empty string falsy", + "{{ 'yes' if not y else 'no' }}", + {{"y", ""}}, + "yes" + ); + + test_template(t, "is 0 falsy", + "{{ 'yes' if not y else 'no' }}", + {{"y", 0}}, + "yes" + ); + + test_template(t, "is 0.0 falsy", + "{{ 'yes' if not y else 'no' }}", + {{"y", 0.0}}, + "yes" + ); + + test_template(t, "is non-empty array truthy", + "{{ 'yes' if y else 'no' }}", + {{"y", json::array({""})}}, + "yes" + ); + + test_template(t, "is non-empty object truthy", + "{{ 'yes' if y else 'no' }}", + {{"y", {"x", false}}}, + "yes" + ); + + test_template(t, "is non-empty string truthy", + "{{ 'yes' if y else 'no' }}", + {{"y", "0"}}, + "yes" + ); + + test_template(t, "is 1 truthy", + "{{ 'yes' if y else 'no' }}", + {{"y", 1}}, + "yes" + ); + + test_template(t, "is 1.0 truthy", + "{{ 'yes' if y else 'no' }}", + {{"y", 1.0}}, + "yes" + ); } static void test_loops(testing & t) { From 1706a6d7c68fc54374b0807324079b2c6ebf674a Mon Sep 17 00:00:00 2001 From: ddh0 Date: Mon, 19 Jan 2026 16:09:20 -0600 Subject: [PATCH 18/28] convert : support Glm4MoeLite (#18936) * initial commit for branch * add glm-4.7-flash, move tokenizer hash * use `glm4` pretok * silence flake8 E302 (CI) * apply review feedback * add <|user|> as eog * also add EOG `<|observation|>` * revert llama-vocab * inherit vocab from glm4 --------- Co-authored-by: Xuan Son Nguyen --- convert_hf_to_gguf.py | 31 ++++++++++++++++++++++++++++++- convert_hf_to_gguf_update.py | 1 + 2 files changed, 31 insertions(+), 1 deletion(-) diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py index 464ecbaab9..becbad046d 100755 --- a/convert_hf_to_gguf.py +++ b/convert_hf_to_gguf.py @@ -1078,6 +1078,9 @@ class TextModel(ModelBase): if chkhsh == "b3d1dd861f1d4c5c0d2569ce36baf3f90fe8a102db3de50dd71ff860d91be3df": # ref: https://huggingface.co/aari1995/German_Semantic_V3 res = "jina-v2-de" + if chkhsh == "cdf5f35325780597efd76153d4d1c16778f766173908894c04afc20108536267": + # ref: https://huggingface.co/zai-org/GLM-4.7-Flash + res = "glm4" if chkhsh == "0ef9807a4087ebef797fc749390439009c3b9eda9ad1a097abbe738f486c01e5": # ref: https://huggingface.co/meta-llama/Meta-Llama-3-8B res = "llama-bpe" @@ -7458,7 +7461,7 @@ class DeepseekModel(TextModel): "DeepseekV3ForCausalLM", "KimiVLForConditionalGeneration", "YoutuForCausalLM", - "YoutuVLForConditionalGeneration" + "YoutuVLForConditionalGeneration", ) class DeepseekV2Model(TextModel): model_arch = gguf.MODEL_ARCH.DEEPSEEK2 @@ -8446,6 +8449,32 @@ class Glm4MoeModel(TextModel): raise ValueError(f"Unprocessed experts: {experts}") +@ModelBase.register("Glm4MoeLiteForCausalLM") +class Glm4MoeLiteModel(DeepseekV2Model): + model_arch = gguf.MODEL_ARCH.DEEPSEEK2 + + # copied from Glm4MoeModel + def set_vocab(self): + from transformers import AutoTokenizer + + tokenizer = AutoTokenizer.from_pretrained(self.dir_model) + special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True) + tokens, toktypes, tokpre = self.get_vocab_base() + self.gguf_writer.add_tokenizer_model("gpt2") + self.gguf_writer.add_tokenizer_pre(tokpre) + self.gguf_writer.add_token_list(tokens) + self.gguf_writer.add_token_types(toktypes) + + # Special tokens + # Note: Using <|endoftext|> (151329) for eot causes endless generation + special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["[gMASK]"]) # 151331 + special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"]) # 151336 + special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"]) # 151329 + special_vocab._set_special_token("eom", tokenizer.get_added_vocab()["<|observation|>"]) # 151338 + + special_vocab.add_to_gguf(self.gguf_writer) + + @ModelBase.register("GlmForCausalLM", "ChatGLMModel", "ChatGLMForConditionalGeneration") class ChatGLMModel(TextModel): model_arch = gguf.MODEL_ARCH.CHATGLM diff --git a/convert_hf_to_gguf_update.py b/convert_hf_to_gguf_update.py index aa9843ea17..2811f7f884 100755 --- a/convert_hf_to_gguf_update.py +++ b/convert_hf_to_gguf_update.py @@ -170,6 +170,7 @@ pre_computed_hashes = [ {"name": "grok-2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/alvarobartt/grok-2-tokenizer", "chkhsh": "66b8d4e19ab16c3bfd89bce5d785fb7e0155e8648708a1f42077cb9fe002c273"}, # jina-v2-de variants {"name": "jina-v2-de", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/aari1995/German_Semantic_V3", "chkhsh": "b3d1dd861f1d4c5c0d2569ce36baf3f90fe8a102db3de50dd71ff860d91be3df"}, + {"name": "glm4", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/zai-org/GLM-4.7-Flash", "chkhsh": "cdf5f35325780597efd76153d4d1c16778f766173908894c04afc20108536267"}, ] From 6df686bee68ff109f62123c7a8eac003f3dd9e20 Mon Sep 17 00:00:00 2001 From: Xuan-Son Nguyen Date: Mon, 19 Jan 2026 23:28:01 +0100 Subject: [PATCH 19/28] server : refactor oai_parser_opt, move it to server_chat_params (#18937) * server_chat_params * move chat format into CLI * use meta whenever possible * clean up, no more chatml fallback --- common/chat.cpp | 14 ++-- common/chat.h | 2 +- tools/cli/cli.cpp | 32 ++++++-- tools/server/server-common.cpp | 4 +- tools/server/server-common.h | 14 ++-- tools/server/server-context.cpp | 138 ++++++++++++++------------------ tools/server/server-context.h | 5 +- tools/server/server-task.h | 6 +- 8 files changed, 112 insertions(+), 103 deletions(-) diff --git a/common/chat.cpp b/common/chat.cpp index 28721ac7da..b29544dac0 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -601,18 +601,18 @@ bool common_chat_templates_was_explicit(const struct common_chat_templates * tmp return tmpls->has_explicit_template; } -const char * common_chat_templates_source(const struct common_chat_templates * tmpls, const char * variant) { - if (variant != nullptr) { - if (strcmp(variant, "tool_use") == 0) { +std::string common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant) { + if (!variant.empty()) { + if (variant == "tool_use") { if (tmpls->template_tool_use) { - return tmpls->template_tool_use->source().c_str(); + return tmpls->template_tool_use->source(); } - return nullptr; + return ""; } else { - LOG_DBG("%s: unknown template variant: %s\n", __func__, variant); + LOG_DBG("%s: unknown template variant: %s\n", __func__, variant.c_str()); } } - return tmpls->template_default->source().c_str(); + return tmpls->template_default->source(); } common_chat_templates_ptr common_chat_templates_init( diff --git a/common/chat.h b/common/chat.h index 454085e90e..1488017382 100644 --- a/common/chat.h +++ b/common/chat.h @@ -191,7 +191,7 @@ common_chat_templates_ptr common_chat_templates_init( const std::string & eos_token_override = ""); bool common_chat_templates_was_explicit(const struct common_chat_templates * tmpls); -const char * common_chat_templates_source(const struct common_chat_templates * tmpls, const char * variant = nullptr); +std::string common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant = ""); struct common_chat_params common_chat_templates_apply( diff --git a/tools/cli/cli.cpp b/tools/cli/cli.cpp index 2f0ffea1c2..caad29bac7 100644 --- a/tools/cli/cli.cpp +++ b/tools/cli/cli.cpp @@ -71,14 +71,16 @@ struct cli_context { std::string generate_completion(result_timings & out_timings) { server_response_reader rd = ctx_server.get_response_reader(); + auto formatted = format_chat(); { // TODO: reduce some copies here in the future server_task task = server_task(SERVER_TASK_TYPE_COMPLETION); - task.id = rd.get_new_id(); - task.index = 0; - task.params = defaults; // copy - task.cli_input = messages; // copy - task.cli_files = input_files; // copy + task.id = rd.get_new_id(); + task.index = 0; + task.params = defaults; // copy + task.cli_prompt = formatted.prompt; // copy + task.cli_files = input_files; // copy + task.cli = true; rd.post_task({std::move(task)}); } @@ -156,6 +158,26 @@ struct cli_context { return content; } } + + common_chat_params format_chat() { + auto meta = ctx_server.get_meta(); + auto & chat_params = meta.chat_params; + + common_chat_templates_inputs inputs; + inputs.messages = common_chat_msgs_parse_oaicompat(messages); + inputs.tools = {}; // TODO + inputs.tool_choice = COMMON_CHAT_TOOL_CHOICE_NONE; + inputs.json_schema = ""; // TODO + inputs.grammar = ""; // TODO + inputs.use_jinja = chat_params.use_jinja; + inputs.parallel_tool_calls = false; + inputs.add_generation_prompt = true; + inputs.reasoning_format = chat_params.reasoning_format; + inputs.enable_thinking = chat_params.enable_thinking; + + // Apply chat template to the list of messages + return common_chat_templates_apply(chat_params.tmpls.get(), inputs); + } }; int main(int argc, char ** argv) { diff --git a/tools/server/server-common.cpp b/tools/server/server-common.cpp index 16b0db2983..1bbe85322a 100644 --- a/tools/server/server-common.cpp +++ b/tools/server/server-common.cpp @@ -831,7 +831,7 @@ static void handle_media( // used by /chat/completions endpoint json oaicompat_chat_params_parse( json & body, /* openai api json semantics */ - const oaicompat_parser_options & opt, + const server_chat_params & opt, std::vector & out_files) { json llama_params; @@ -1012,7 +1012,7 @@ json oaicompat_chat_params_parse( } // Apply chat template to the list of messages - auto chat_params = common_chat_templates_apply(opt.tmpls, inputs); + auto chat_params = common_chat_templates_apply(opt.tmpls.get(), inputs); /* Append assistant prefilled message */ if (prefill_assistant_message) { diff --git a/tools/server/server-common.h b/tools/server/server-common.h index 152a2a3c46..7f4c073874 100644 --- a/tools/server/server-common.h +++ b/tools/server/server-common.h @@ -274,25 +274,25 @@ std::vector tokenize_input_prompts( // OAI utils // -// used by /completions endpoint -json oaicompat_completion_params_parse(const json & body); - -struct oaicompat_parser_options { +struct server_chat_params { bool use_jinja; bool prefill_assistant; common_reasoning_format reasoning_format; - std::map chat_template_kwargs; - common_chat_templates * tmpls; + std::map chat_template_kwargs; // mapping key --> json value + common_chat_templates_ptr tmpls; bool allow_image; bool allow_audio; bool enable_thinking = true; std::string media_path; }; +// used by /completions endpoint +json oaicompat_completion_params_parse(const json & body); + // used by /chat/completions endpoint json oaicompat_chat_params_parse( json & body, /* openai api json semantics */ - const oaicompat_parser_options & opt, + const server_chat_params & opt, std::vector & out_files); // convert Anthropic Messages API format to OpenAI Chat Completions API format diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp index c790ac79e1..f1f677addd 100644 --- a/tools/server/server-context.cpp +++ b/tools/server/server-context.cpp @@ -534,8 +534,8 @@ public: server_queue queue_tasks; server_response queue_results; - common_chat_templates_ptr chat_templates; - oaicompat_parser_options oai_parser_opt; + // note: chat_params must not be refreshed upon existing sleeping state + server_chat_params chat_params; ~server_context_impl() { if (!sleeping) { @@ -688,15 +688,6 @@ private: llama_init_dft->free_context(); } - chat_templates = common_chat_templates_init(model, params_base.chat_template); - try { - common_chat_format_example(chat_templates.get(), params.use_jinja, params.default_template_kwargs); - } catch (const std::exception & e) { - SRV_WRN("%s: Chat template parsing error: %s\n", __func__, e.what()); - SRV_WRN("%s: The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses\n", __func__); - chat_templates = common_chat_templates_init(model, "chatml"); - } - std::string & mmproj_path = params_base.mmproj.path; if (!mmproj_path.empty()) { if (!is_resume) { @@ -845,30 +836,6 @@ private: model_name = model_path.filename().string(); } - // thinking is enabled if: - // 1. It's not explicitly disabled (reasoning_budget == 0) - // 2. The chat template supports it - const bool enable_thinking = params_base.use_jinja && params_base.reasoning_budget != 0 && common_chat_templates_support_enable_thinking(chat_templates.get()); - SRV_INF("thinking = %d\n", enable_thinking); - - oai_parser_opt = { - /* use_jinja */ params_base.use_jinja, - /* prefill_assistant */ params_base.prefill_assistant, - /* reasoning_format */ params_base.reasoning_format, - /* chat_template_kwargs */ params_base.default_template_kwargs, - /* common_chat_templates */ chat_templates.get(), - /* allow_image */ mctx ? mtmd_support_vision(mctx) : false, - /* allow_audio */ mctx ? mtmd_support_audio (mctx) : false, - /* enable_thinking */ enable_thinking, - /* media_path */ params_base.media_path, - }; - - // print sample chat example to make it clear which template is used - // @ngxson modern templates are too long, spam the logs; printing the example is enough - LOG_INF("%s: chat template, example_format: '%s'\n", __func__, - // common_chat_templates_source(chat_templates.get()), - common_chat_format_example(chat_templates.get(), params_base.use_jinja, params_base.default_template_kwargs).c_str()); - if (!is_resume) { return init(); } @@ -907,6 +874,42 @@ private: } } + // populate chat template params + { + common_chat_templates_ptr chat_templates; + + try { + chat_templates = common_chat_templates_init(model, params_base.chat_template); + + LOG_INF("%s: chat template, example_format: '%s'\n", __func__, + common_chat_format_example(chat_templates.get(), params_base.use_jinja, params_base.default_template_kwargs).c_str()); + + } catch (const std::exception & e) { + SRV_ERR("%s: chat template parsing error: %s\n", __func__, e.what()); + SRV_ERR("%s: please consider disabling jinja via --no-jinja, or use a custom chat template via --chat-template\n", __func__); + SRV_ERR("%s: for example: --no-jinja --chat-template chatml\n", __func__); + return false; + } + + // thinking is enabled if: + // 1. It's not explicitly disabled (reasoning_budget == 0) + // 2. The chat template supports it + const bool enable_thinking = params_base.use_jinja && params_base.reasoning_budget != 0 && common_chat_templates_support_enable_thinking(chat_templates.get()); + SRV_INF("%s: chat template, thinking = %d\n", __func__, enable_thinking); + + chat_params = { + /* use_jinja */ params_base.use_jinja, + /* prefill_assistant */ params_base.prefill_assistant, + /* reasoning_format */ params_base.reasoning_format, + /* chat_template_kwargs */ params_base.default_template_kwargs, + /* tmpls */ std::move(chat_templates), + /* allow_image */ mctx ? mtmd_support_vision(mctx) : false, + /* allow_audio */ mctx ? mtmd_support_audio (mctx) : false, + /* enable_thinking */ enable_thinking, + /* media_path */ params_base.media_path, + }; + } + return true; } @@ -1588,32 +1591,14 @@ private: // tokenize the input if it's set by CLI, return false on error bool tokenize_cli_input(server_task & task) { - GGML_ASSERT(task.cli_input != nullptr); try { - auto & opt = oai_parser_opt; - common_chat_templates_inputs inputs; - inputs.messages = common_chat_msgs_parse_oaicompat(task.cli_input); - inputs.tools = {}; // TODO - inputs.tool_choice = COMMON_CHAT_TOOL_CHOICE_NONE; - inputs.json_schema = ""; // TODO - inputs.grammar = ""; // TODO - inputs.use_jinja = opt.use_jinja; - inputs.parallel_tool_calls = false; - inputs.add_generation_prompt = true; - inputs.reasoning_format = opt.reasoning_format; - inputs.enable_thinking = opt.enable_thinking; - - // Apply chat template to the list of messages - auto chat_params = common_chat_templates_apply(opt.tmpls, inputs); - - // tokenize the resulting prompt - auto & prompt = chat_params.prompt; + auto & prompt = task.cli_prompt; if (mctx != nullptr) { task.tokens = process_mtmd_prompt(mctx, prompt, task.cli_files); } else { task.tokens = std::move(tokenize_input_prompts(vocab, mctx, prompt, true, true)[0]); } - task.cli_input.clear(); + task.cli_prompt.clear(); task.cli_files.clear(); } catch (const std::exception & e) { send_error(task, std::string("Failed to format input: ") + e.what(), ERROR_TYPE_INVALID_REQUEST); @@ -1689,7 +1674,7 @@ private: { // special case: if input is provided via CLI, tokenize it first // otherwise, no need to tokenize as it's already done inside the HTTP thread - if (task.cli_input != nullptr) { + if (task.cli) { if (!tokenize_cli_input(task)) { break; } @@ -2901,8 +2886,6 @@ server_response_reader server_context::get_response_reader() { } server_context_meta server_context::get_meta() const { - auto tool_use_src = common_chat_templates_source(impl->chat_templates.get(), "tool_use"); - auto bos_id = llama_vocab_bos(impl->vocab); auto eos_id = llama_vocab_eos(impl->vocab); auto bos_token_str = bos_id != LLAMA_TOKEN_NULL ? common_token_to_piece(impl->ctx, bos_id, true) : ""; @@ -2913,14 +2896,13 @@ server_context_meta server_context::get_meta() const { /* model_name */ impl->model_name, /* model_path */ impl->params_base.model.path, /* has_mtmd */ impl->mctx != nullptr, - /* has_inp_image */ impl->oai_parser_opt.allow_image, - /* has_inp_audio */ impl->oai_parser_opt.allow_audio, + /* has_inp_image */ impl->chat_params.allow_image, + /* has_inp_audio */ impl->chat_params.allow_audio, /* json_webui_settings */ impl->json_webui_settings, /* slot_n_ctx */ impl->get_slot_n_ctx(), /* pooling_type */ llama_pooling_type(impl->ctx), - /* chat_template */ common_chat_templates_source(impl->chat_templates.get()), - /* chat_template_tool_use */ tool_use_src ? tool_use_src : "", + /* chat_params */ impl->chat_params, /* bos_token_str */ bos_token_str, /* eos_token_str */ eos_token_str, @@ -3202,8 +3184,8 @@ void server_routes::init_routes() { // this endpoint can be accessed during sleeping // the next LOC is to avoid someone accidentally use ctx_server - bool server_ctx; // do NOT delete this line - GGML_UNUSED(server_ctx); + bool ctx_server; // do NOT delete this line + GGML_UNUSED(ctx_server); res->ok({{"status", "ok"}}); return res; @@ -3393,8 +3375,8 @@ void server_routes::init_routes() { // this endpoint can be accessed during sleeping // the next LOC is to avoid someone accidentally use ctx_server - bool server_ctx; // do NOT delete this line - GGML_UNUSED(server_ctx); + bool ctx_server; // do NOT delete this line + GGML_UNUSED(ctx_server); task_params tparams; tparams.sampling = params.sampling; @@ -3403,6 +3385,9 @@ void server_routes::init_routes() { { "n_ctx", meta->slot_n_ctx }, }; + std::string tmpl_default = common_chat_templates_source(meta->chat_params.tmpls.get(), ""); + std::string tmpl_tools = common_chat_templates_source(meta->chat_params.tmpls.get(), "tool_use"); + json props = { { "default_generation_settings", default_generation_settings_for_props }, { "total_slots", params.n_parallel }, @@ -3417,15 +3402,15 @@ void server_routes::init_routes() { { "endpoint_metrics", params.endpoint_metrics }, { "webui", params.webui }, { "webui_settings", meta->json_webui_settings }, - { "chat_template", meta->chat_template }, + { "chat_template", tmpl_default }, { "bos_token", meta->bos_token_str }, { "eos_token", meta->eos_token_str }, { "build_info", meta->build_info }, { "is_sleeping", queue_tasks.is_sleeping() }, }; if (params.use_jinja) { - if (!meta->chat_template_tool_use.empty()) { - props["chat_template_tool_use"] = meta->chat_template_tool_use; + if (!tmpl_tools.empty()) { + props["chat_template_tool_use"] = tmpl_tools; } } res->ok(props); @@ -3446,6 +3431,7 @@ void server_routes::init_routes() { this->get_api_show = [this](const server_http_req &) { auto res = create_response(); + std::string tmpl_default = common_chat_templates_source(meta->chat_params.tmpls.get(), ""); json data = { { "model_info", { @@ -3454,7 +3440,7 @@ void server_routes::init_routes() { }, {"modelfile", ""}, {"parameters", ""}, - {"template", meta->chat_template}, + {"template", tmpl_default}, {"details", { {"parent_model", ""}, {"format", "gguf"}, @@ -3579,7 +3565,7 @@ void server_routes::init_routes() { json body = json::parse(req.body); json body_parsed = oaicompat_chat_params_parse( body, - ctx_server.oai_parser_opt, + meta->chat_params, files); return handle_completions_impl( req, @@ -3595,7 +3581,7 @@ void server_routes::init_routes() { json body = convert_anthropic_to_oai(json::parse(req.body)); json body_parsed = oaicompat_chat_params_parse( body, - ctx_server.oai_parser_opt, + meta->chat_params, files); return handle_completions_impl( req, @@ -3611,7 +3597,7 @@ void server_routes::init_routes() { json body = convert_anthropic_to_oai(json::parse(req.body)); json body_parsed = oaicompat_chat_params_parse( body, - ctx_server.oai_parser_opt, + meta->chat_params, files); json prompt = body_parsed.at("prompt"); @@ -3627,7 +3613,7 @@ void server_routes::init_routes() { json body = json::parse(req.body); json data = oaicompat_chat_params_parse( body, - ctx_server.oai_parser_opt, + meta->chat_params, files); res->ok({{ "prompt", std::move(data.at("prompt")) }}); return res; @@ -3638,8 +3624,8 @@ void server_routes::init_routes() { // this endpoint can be accessed during sleeping // the next LOC is to avoid someone accidentally use ctx_server - bool server_ctx; // do NOT delete this line - GGML_UNUSED(server_ctx); + bool ctx_server; // do NOT delete this line + GGML_UNUSED(ctx_server); json models = { {"models", { diff --git a/tools/server/server-context.h b/tools/server/server-context.h index 09bec15ae1..ec1df96950 100644 --- a/tools/server/server-context.h +++ b/tools/server/server-context.h @@ -20,9 +20,8 @@ struct server_context_meta { int slot_n_ctx; enum llama_pooling_type pooling_type; - // chat template - std::string chat_template; - std::string chat_template_tool_use; + // chat params + server_chat_params & chat_params; // tokens std::string bos_token_str; diff --git a/tools/server/server-task.h b/tools/server/server-task.h index 11943ee4f8..daffe0c904 100644 --- a/tools/server/server-task.h +++ b/tools/server/server-task.h @@ -130,8 +130,10 @@ struct server_task { task_params params; server_tokens tokens; - // only used by CLI, this delegates the tokenization to the server - json cli_input = nullptr; + // only used by CLI, this allow tokenizing CLI inputs on server side + // we need this because mtmd_context and vocab are not accessible outside of server_context + bool cli = false; + std::string cli_prompt; std::vector cli_files; server_task_type type; From 7dee9ff59ad507304bf43a2682dbe0a89bbc3dce Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Tue, 20 Jan 2026 06:55:24 +0100 Subject: [PATCH 20/28] convert : use n_groups instead of hardcoded values in reshape (#18929) * convert : use n_groups instead of hardcoded values in reshape This commit modifies the conversion script for NemotronHModel to use the 'n_groups' hyperparameter, and allow Python to calculate the the last dimension, using -1, when reshaping the 'mixer.norm.weight' tensor. * use self.n_group instead of self.hparams["n_groups"] --- convert_hf_to_gguf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py index becbad046d..ab015dd2c3 100755 --- a/convert_hf_to_gguf.py +++ b/convert_hf_to_gguf.py @@ -9212,7 +9212,7 @@ class NemotronHModel(GraniteHybridModel): return [(mapped_name, reshaped_data)] if name.endswith("mixer.norm.weight"): - reshaped_data = data_torch.reshape(8, 512) + reshaped_data = data_torch.reshape(self.n_group, -1) mapped_name = self.map_tensor_name(name) return [(mapped_name, reshaped_data)] From 271191906c3ff0a02916622f703166b6891fce0e Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Tue, 20 Jan 2026 12:21:28 +0200 Subject: [PATCH 21/28] metal : enable FA for MLA heads (#18950) --- ggml/src/ggml-metal/ggml-metal-device.m | 8 ++------ ggml/src/ggml-metal/ggml-metal-ops.cpp | 2 +- ggml/src/ggml-metal/ggml-metal.metal | 13 ++++++++----- 3 files changed, 11 insertions(+), 12 deletions(-) diff --git a/ggml/src/ggml-metal/ggml-metal-device.m b/ggml/src/ggml-metal/ggml-metal-device.m index c418afe9c3..eb4e2c209c 100644 --- a/ggml/src/ggml-metal/ggml-metal-device.m +++ b/ggml/src/ggml-metal/ggml-metal-device.m @@ -1078,12 +1078,8 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te op->src[0]->ne[0] != 112 && op->src[0]->ne[0] != 128 && op->src[0]->ne[0] != 192 && - op->src[0]->ne[0] != 256) { - return false; - } - if (op->src[0]->ne[0] == 576) { - // DeepSeek sizes - // TODO: disabled for now, until optmized + op->src[0]->ne[0] != 256 && + op->src[0]->ne[0] != 576) { return false; } if (op->src[1]->type != op->src[2]->type) { diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp index 3d97d3dfdc..7f4cfbba22 100644 --- a/ggml/src/ggml-metal/ggml-metal-ops.cpp +++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp @@ -2520,7 +2520,7 @@ int ggml_metal_op_flash_attn_ext(ggml_metal_op_t ctx, int idx) { // simdgroups per threadgroup (a.k.a. warps) //nsg = ne01 <= nqptg ? MAX(4, MIN(nsgmax, MIN(ne11/ncpsg, (int64_t) pipeline.maxTotalThreadsPerThreadgroup/32))) : 4; - int32_t nsg = 4; + int32_t nsg = ne00 >= 512 ? 8 : 4; const size_t smem = FATTN_SMEM(nsg); diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal index a4e1cafe55..17e358d1a8 100644 --- a/ggml/src/ggml-metal/ggml-metal.metal +++ b/ggml/src/ggml-metal/ggml-metal.metal @@ -5552,9 +5552,7 @@ void kernel_flash_attn_ext_impl( constexpr short NC = (C/8)/NSG; - // note: do not unroll for large heads - #pragma unroll (DK <= 64 ? NC : 1) - for (short cc = 0; cc < NC; ++cc) { + FOR_UNROLL (short cc = 0; cc < NC; ++cc) { qk8x8_t mqk = make_filled_simdgroup_matrix((qk_t) 0.0f); if (DK % 16 != 0) { @@ -5575,7 +5573,9 @@ void kernel_flash_attn_ext_impl( k8x8_t mk[2]; q8x8_t mq[2]; - FOR_UNROLL (short i = 0; i < DK8/2; ++i) { + // note: too much unroll can tank the performance for large heads + #pragma unroll (MIN(DK8/2, 4*NSG)) + for (short i = 0; i < DK8/2; ++i) { simdgroup_barrier(mem_flags::mem_none); simdgroup_load(mq[0], pq + 0*8 + 16*i, DK); @@ -5749,7 +5749,9 @@ void kernel_flash_attn_ext_impl( pv += 8*NS20; } } else { - FOR_UNROLL (short cc = 0; cc < (C/8)/2; ++cc) { + constexpr short NC = (C/8)/2; + + FOR_UNROLL (short cc = 0; cc < NC; ++cc) { s8x8_t vs[2]; simdgroup_load(vs[0], ss + 16*cc + 0, SH, 0, false); @@ -5952,6 +5954,7 @@ kernel void kernel_flash_attn_ext( //case 1: kernel_flash_attn_ext_impl(FWD_ARGS); break; //case 2: kernel_flash_attn_ext_impl(FWD_ARGS); break; case 4: kernel_flash_attn_ext_impl(FWD_ARGS); break; + case 8: kernel_flash_attn_ext_impl(FWD_ARGS); break; } #undef FWD_TMPL #undef FWD_ARGS From 08f3f4a8a30633491b031bf833441de2a1ab5029 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Adrien=20Gallou=C3=ABt?= Date: Tue, 20 Jan 2026 11:42:49 +0100 Subject: [PATCH 22/28] ggml : cleanup path_str() (#18928) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Remove pragmas as `std::codecvt_utf8` is not used. - Avoid implicit `strlen()`. Signed-off-by: Adrien Gallouët --- ggml/src/ggml-backend-reg.cpp | 24 ++++-------------------- 1 file changed, 4 insertions(+), 20 deletions(-) diff --git a/ggml/src/ggml-backend-reg.cpp b/ggml/src/ggml-backend-reg.cpp index 4181a714ad..6bee1bc4b4 100644 --- a/ggml/src/ggml-backend-reg.cpp +++ b/ggml/src/ggml-backend-reg.cpp @@ -77,39 +77,23 @@ #include "ggml-zendnn.h" #endif -// disable C++17 deprecation warning for std::codecvt_utf8 -#if defined(__clang__) -# pragma clang diagnostic push -# pragma clang diagnostic ignored "-Wdeprecated-declarations" -#elif defined(__GNUC__) -# pragma GCC diagnostic push -# pragma GCC diagnostic ignored "-Wdeprecated-declarations" -#endif - namespace fs = std::filesystem; static std::string path_str(const fs::path & path) { - std::string u8path; try { #if defined(__cpp_lib_char8_t) // C++20 and later: u8string() returns std::u8string - std::u8string u8str = path.u8string(); - u8path = std::string(reinterpret_cast(u8str.c_str())); + const std::u8string u8str = path.u8string(); + return std::string(reinterpret_cast(u8str.data()), u8str.size()); #else // C++17: u8string() returns std::string - u8path = path.u8string(); + return path.u8string(); #endif } catch (...) { + return std::string(); } - return u8path; } -#if defined(__clang__) -# pragma clang diagnostic pop -#elif defined(__GNUC__) -# pragma GCC diagnostic pop -#endif - #ifdef _WIN32 using dl_handle = std::remove_pointer_t; From d1e3556481c8b351f9b7b69ba3febf6cb77fffa6 Mon Sep 17 00:00:00 2001 From: Oliver Simons Date: Tue, 20 Jan 2026 13:11:01 +0100 Subject: [PATCH 23/28] CUDA: Replace init_offsets kernel with iterators in cub-based argsort (#18930) * CUDA: Replace `init_offsets` with iterators in argsort This is a QOL improvement, saving us the cost of materializing the iterator * Remove unnecessary include from top-k.cu --- ggml/src/ggml-cuda/argsort.cu | 22 +++++++--------------- ggml/src/ggml-cuda/top-k.cu | 1 - 2 files changed, 7 insertions(+), 16 deletions(-) diff --git a/ggml/src/ggml-cuda/argsort.cu b/ggml/src/ggml-cuda/argsort.cu index 57c8a99a28..cf7a44f7ad 100644 --- a/ggml/src/ggml-cuda/argsort.cu +++ b/ggml/src/ggml-cuda/argsort.cu @@ -14,12 +14,6 @@ static __global__ void init_indices(int * indices, const int ncols, const int nr } } -static __global__ void init_offsets(int * offsets, const int ncols, const int nrows) { - const int idx = blockIdx.x * blockDim.x + threadIdx.x; - if (idx <= nrows) { - offsets[idx] = idx * ncols; - } -} #ifdef GGML_CUDA_USE_CUB void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool, @@ -31,18 +25,15 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool, cudaStream_t stream) { ggml_cuda_pool_alloc temp_indices_alloc(pool, ncols * nrows); ggml_cuda_pool_alloc temp_keys_alloc(pool, ncols * nrows); - ggml_cuda_pool_alloc offsets_alloc(pool, nrows + 1); int * temp_indices = temp_indices_alloc.get(); float * temp_keys = temp_keys_alloc.get(); - int * d_offsets = offsets_alloc.get(); static const int block_size = 256; const dim3 grid_size((ncols + block_size - 1) / block_size, nrows); init_indices<<>>(temp_indices, ncols, nrows); - const dim3 offset_grid((nrows + block_size - 1) / block_size); - init_offsets<<>>(d_offsets, ncols, nrows); + auto offset_iterator = cuda::make_strided_iterator(cuda::make_counting_iterator(0), ncols); CUDA_CHECK(cudaMemcpyAsync(temp_keys, x, ncols * nrows * sizeof(float), cudaMemcpyDeviceToDevice, stream)); @@ -57,7 +48,7 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool, DeviceSegmentedSort::SortPairs(nullptr, temp_storage_bytes, temp_keys, temp_keys, // keys (in-place) temp_indices, dst, // values (indices) ncols * nrows, nrows, // num items, num segments - d_offsets, d_offsets + 1, stream); + offset_iterator, offset_iterator + 1, stream); } } else { if (nrows == 1) { @@ -66,7 +57,8 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool, ncols, 0, sizeof(float) * 8, stream); } else { DeviceSegmentedSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys, temp_keys, temp_indices, - dst, ncols * nrows, nrows, d_offsets, d_offsets + 1, stream); + dst, ncols * nrows, nrows, offset_iterator, offset_iterator + 1, + stream); } } @@ -80,7 +72,7 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool, ncols, 0, sizeof(float) * 8, stream); } else { DeviceSegmentedSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys, temp_indices, dst, - ncols * nrows, nrows, d_offsets, d_offsets + 1, stream); + ncols * nrows, nrows, offset_iterator, offset_iterator + 1, stream); } } else { if (nrows == 1) { @@ -89,8 +81,8 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool, ncols, 0, sizeof(float) * 8, stream); } else { DeviceSegmentedSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys, - temp_indices, dst, ncols * nrows, nrows, d_offsets, d_offsets + 1, - stream); + temp_indices, dst, ncols * nrows, nrows, offset_iterator, + offset_iterator + 1, stream); } } } diff --git a/ggml/src/ggml-cuda/top-k.cu b/ggml/src/ggml-cuda/top-k.cu index 318ac38691..785a18389f 100644 --- a/ggml/src/ggml-cuda/top-k.cu +++ b/ggml/src/ggml-cuda/top-k.cu @@ -4,7 +4,6 @@ #ifdef GGML_CUDA_USE_CUB # include # if (CCCL_MAJOR_VERSION >= 3 && CCCL_MINOR_VERSION >= 2) -# include # define CUB_TOP_K_AVAILABLE using namespace cub; # endif // CCCL_MAJOR_VERSION >= 3 && CCCL_MINOR_VERSION >= 2 From 2c1f1996535cd49132e6e7d1b28908bcd4f56819 Mon Sep 17 00:00:00 2001 From: Xuan-Son Nguyen Date: Tue, 20 Jan 2026 18:23:25 +0100 Subject: [PATCH 24/28] cli : fix reasoning responses in CLI (#18961) * cli : fix reasoning responses in CLI * fix build * fix build (2) --- common/chat-parser.cpp | 6 +- common/chat-parser.h | 8 +- common/chat.h | 23 +- common/common.h | 1 + common/json-partial.h | 1 + tests/test-chat-parser.cpp | 240 +++++++++-------- tests/test-chat-peg-parser.cpp | 12 +- tests/test-chat.cpp | 454 +++++++++++++++++---------------- tools/cli/cli.cpp | 15 +- tools/server/server-common.h | 1 + tools/server/server-task.cpp | 34 +-- tools/server/server-task.h | 12 +- 12 files changed, 417 insertions(+), 390 deletions(-) diff --git a/common/chat-parser.cpp b/common/chat-parser.cpp index 2f073512e0..c2d1e30f35 100644 --- a/common/chat-parser.cpp +++ b/common/chat-parser.cpp @@ -129,7 +129,7 @@ static void parse_json_tool_calls( } } -common_chat_msg_parser::common_chat_msg_parser(const std::string & input, bool is_partial, const common_chat_syntax & syntax) +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"; @@ -1611,7 +1611,7 @@ static void common_chat_parse(common_chat_msg_parser & builder) { builder.finish(); } -common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_syntax & syntax) { +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) { @@ -1635,7 +1635,7 @@ common_chat_msg common_chat_parse(const std::string & input, bool is_partial, co return msg; } -common_chat_msg common_chat_peg_parse(const common_peg_arena & parser, const std::string & input, bool is_partial, const common_chat_syntax & 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) { if (parser.empty()) { throw std::runtime_error("Failed to parse due to missing parser definition."); } diff --git a/common/chat-parser.h b/common/chat-parser.h index 78c4b74c2d..3ed9c30a2b 100644 --- a/common/chat-parser.h +++ b/common/chat-parser.h @@ -5,7 +5,7 @@ #include "json-partial.h" #include "regex-partial.h" -#include +#include #include #include @@ -19,20 +19,20 @@ class common_chat_msg_partial_exception : public std::runtime_error { class common_chat_msg_parser { std::string input_; bool is_partial_; - common_chat_syntax syntax_; + 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_syntax & syntax); + 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_syntax & syntax() const { return syntax_; } + const common_chat_parser_params & syntax() const { return syntax_; } void move_to(size_t pos) { if (pos > input_.size()) { diff --git a/common/chat.h b/common/chat.h index 1488017382..ac19348ece 100644 --- a/common/chat.h +++ b/common/chat.h @@ -145,7 +145,7 @@ struct common_chat_templates_inputs { 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; + 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; @@ -165,14 +165,21 @@ struct common_chat_params { std::string parser; }; -struct common_chat_syntax { +// 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; + 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 = {}; + common_chat_parser_params() = default; + common_chat_parser_params(const common_chat_params & chat_params) { + format = chat_params.format; + thinking_forced_open = chat_params.thinking_forced_open; + } }; // Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid @@ -213,10 +220,12 @@ std::string common_chat_format_example( const std::map & chat_template_kwargs); const char* common_chat_format_name(common_chat_format 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_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_syntax & syntax); -common_chat_msg common_chat_peg_parse(const common_peg_arena & parser, const std::string & input, bool is_partial, const common_chat_syntax & syntax); +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); + +// 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); common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::string & tool_choice); diff --git a/common/common.h b/common/common.h index b9566df62c..8247949ded 100644 --- a/common/common.h +++ b/common/common.h @@ -284,6 +284,7 @@ struct common_params_diffusion { }; // reasoning API response format (not to be confused as chat template's reasoning format) +// only used by server enum common_reasoning_format { COMMON_REASONING_FORMAT_NONE, COMMON_REASONING_FORMAT_AUTO, // Same as deepseek, using `message.reasoning_content` diff --git a/common/json-partial.h b/common/json-partial.h index f63356dc48..be51aabfbf 100644 --- a/common/json-partial.h +++ b/common/json-partial.h @@ -1,5 +1,6 @@ #pragma once +// TODO: use json_fwd.hpp when possible #include // Healing marker (empty if the JSON was fully parsed / wasn't healed). diff --git a/tests/test-chat-parser.cpp b/tests/test-chat-parser.cpp index 4766518fe6..6f44a2b421 100644 --- a/tests/test-chat-parser.cpp +++ b/tests/test-chat-parser.cpp @@ -54,113 +54,109 @@ static void assert_throws(const std::function & fn, const std::string & static void test_reasoning() { //common_log_set_verbosity_thold(LOG_DEFAULT_DEBUG); { - common_chat_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, { - /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - }); + 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_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, { - /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - }); + 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_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, { - /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - }); + 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_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, { - /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - }); + 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_msg_parser builder("CogitoErgo sum", /* is_partial= */ false, { - /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ true, - /* .thinking_forced_open = */ true, - }); + 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_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ false, - }; + 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, syntax); + 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_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_LLAMA_3_X, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ false, - }; + 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, syntax); + 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_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + auto msg = common_chat_parse(input, false, params); assert_equals(variant, std::string("REASONINGok"), msg.content); assert_equals(variant, std::string(""), msg.reasoning_content); } @@ -256,15 +252,14 @@ 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_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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 @@ -274,16 +269,15 @@ static void test_deepseek_v3_1_tool_calls() { // variant: simple + thinking open { - common_chat_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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); @@ -292,16 +286,15 @@ static void test_deepseek_v3_1_tool_calls() { } // variant: simple + multiple tool calls { - common_chat_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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); @@ -314,16 +307,15 @@ static void test_deepseek_v3_1_tool_calls() { // variant: thinking forced open + tool call in reasoning content { - common_chat_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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); @@ -336,16 +328,15 @@ static void test_deepseek_v3_1_tool_calls() { // 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_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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()); @@ -355,16 +346,15 @@ static void test_deepseek_v3_1_tool_calls() { // variant: thinking forced open + tool call in reasoning content + no closing think + partial { - common_chat_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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()); @@ -372,32 +362,30 @@ static void test_deepseek_v3_1_tool_calls() { // variant: thinking not forced open + reasoning + regular content + no tool calls { - common_chat_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ true, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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_syntax syntax = { - /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_V3_1, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - /* .parse_tool_calls = */ true, - }; + 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, syntax); + 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); diff --git a/tests/test-chat-peg-parser.cpp b/tests/test-chat-peg-parser.cpp index d3a4cfd226..f767c73c27 100644 --- a/tests/test-chat-peg-parser.cpp +++ b/tests/test-chat-peg-parser.cpp @@ -616,15 +616,15 @@ 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, - { - /* .format = */ COMMON_CHAT_FORMAT_GENERIC, - /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, - /* .reasoning_in_content = */ false, - /* .thinking_forced_open = */ false, - } + params ); builder.try_parse_reasoning("<|START_THINKING|>", "<|END_THINKING|>"); diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index e1264b8e8d..6820acf679 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -341,10 +341,11 @@ static void test_templates(const struct common_chat_templates * tmpls, const std } if (expect_grammar_triggered) { - common_chat_syntax syntax; - syntax.format = data.params.format; - syntax.reasoning_format = reasoning_format; - const auto msg = common_chat_parse(data.delta, /* is_partial= */ false, syntax); + // 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); assert_msg_equals(test_message, msg, ignore_whitespace_differences); } @@ -556,7 +557,9 @@ struct make_peg_parser { } common_chat_msg parse(const std::string & msg, bool is_partial) { - return common_chat_peg_parse(arena_, msg, is_partial, /* syntax = */ {params_.format}); + common_chat_parser_params parser_params; + parser_params.format = params_.format; + return common_chat_peg_parse(arena_, msg, is_partial, parser_params); } }; @@ -750,6 +753,25 @@ static void test_tools_oaicompat_json_conversion() { } } +// 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__); @@ -781,17 +803,17 @@ static void test_template_output_parsers() { } assert_msg_equals(message_assist, - common_chat_parse( + test_chat_parse( "Hello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_COMMAND_R7B})); assert_msg_equals(message_assist, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>", /* is_partial= */ false, @@ -800,7 +822,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts_unparsed_deepseek, - common_chat_parse( + test_chat_parse( "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>", /* is_partial= */ false, @@ -811,13 +833,13 @@ static void test_template_output_parsers() { /* .thinking_forced_open = */ false, })); assert_msg_equals(message_assist_thoughts_unparsed_r7b, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>", /* is_partial= */ false, @@ -826,7 +848,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts_call_idx, - common_chat_parse( + 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" @@ -837,7 +859,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts_no_content, - common_chat_parse( + test_chat_parse( "<|START_THINKING|>I'm\nthinking<|END_THINKING|>" "<|START_ACTION|>[\n" " {\"tool_call_id\": \"0\", \"tool_name\": \"special", @@ -877,7 +899,7 @@ static void test_template_output_parsers() { assert_equals( simple_assist_msg("{ \"tool_call\" : { \"name\" : \"t"), - common_chat_parse( + test_chat_parse( "{ \"tool_call\" : { \"name\" : \"t", /* is_partial= */ true, { @@ -889,33 +911,33 @@ static void test_template_output_parsers() { })); assert_equals( message_assist_empty, - common_chat_parse( + test_chat_parse( "{ \"tool_call\" : { \"name\" : \"t", /* is_partial= */ true, {COMMON_CHAT_FORMAT_GENERIC})); assert_equals( simple_assist_msg("", "", "puppeteer_screenshot", "{\"name\":\"servethehome_homepage\","), - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "{ \"tool_call\" : { \"name\" : \"special_function\"", /* is_partial= */ true, {COMMON_CHAT_FORMAT_GENERIC})); assert_equals( message_assist_call_cutoff_args, - common_chat_parse( + test_chat_parse( "{ \"tool_call\" : { \"name\" : \"special_function\", \"arguments\" : { \"arg", /* is_partial= */ true, {COMMON_CHAT_FORMAT_GENERIC})); assert_msg_equals(message_assist, - common_chat_parse( + test_chat_parse( "{\n" " \"response\": \"Hello, world!\\nWhat's up?\"\n" "}", @@ -951,7 +973,7 @@ static void test_template_output_parsers() { { assert_msg_equals( simple_assist_msg("Réponse", "raisonnement"), - common_chat_parse( + test_chat_parse( message_assist_thoughts_unparsed_magistral.content, /* is_partial= */ false, { @@ -988,14 +1010,14 @@ static void test_template_output_parsers() { // Test parsing assert_msg_equals( simple_assist_msg("", "", "python", ""), - common_chat_parse( + 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"), - common_chat_parse( + test_chat_parse( "Let's call something\n" "{\"name\"", /* is_partial= */ true, @@ -1005,7 +1027,7 @@ static void test_template_output_parsers() { })); assert_msg_equals( simple_assist_msg("Let's call something\n"), - common_chat_parse( + test_chat_parse( "Let's call something\n" "{\"name", /* is_partial= */ true, @@ -1014,7 +1036,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_call_thoughts, - common_chat_parse( + test_chat_parse( // QwQ-32B's template adds a trailing if add_generation_prompt "I'm\nthinking\n" "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", @@ -1027,14 +1049,14 @@ static void test_template_output_parsers() { })); assert_msg_equals( message_assist_call, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "Hello, world!\nWhat's up?\n" "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "", @@ -1042,13 +1064,13 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "{\"arg1\": 1}", /* is_partial= */ false, {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "\n" "{\"arg1\": 1}\n" "", @@ -1056,7 +1078,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "", @@ -1064,7 +1086,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "", @@ -1072,7 +1094,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "", @@ -1080,7 +1102,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "```xml\n" "\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" @@ -1090,7 +1112,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "```xml\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "```", @@ -1098,7 +1120,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "```\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "```", @@ -1106,7 +1128,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "```\n" "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "```", @@ -1114,7 +1136,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "```json\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "```", @@ -1122,7 +1144,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "```json\n" "\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}} \n" @@ -1132,7 +1154,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "", @@ -1140,7 +1162,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "\n" " {\n" " \"name\": \"special_function\", \"arguments\": {\"arg1\": 1}\n" @@ -1150,7 +1172,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "\n" " {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "", @@ -1158,13 +1180,13 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", /* is_partial= */ false, {COMMON_CHAT_FORMAT_HERMES_2_PRO})); assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "{\n \"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", /* is_partial= */ false, {COMMON_CHAT_FORMAT_HERMES_2_PRO})); @@ -1178,7 +1200,7 @@ static void test_template_output_parsers() { assert_msg_equals( message_assist_multiple_calls, - common_chat_parse( + test_chat_parse( "\n" "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" "\n" @@ -1190,7 +1212,7 @@ static void test_template_output_parsers() { assert_msg_equals( message_assist_multiple_calls, - common_chat_parse( + test_chat_parse( "{\"arg1\": 1}\n" "{\"code\":\"print('hello')\"}", /* is_partial= */ false, @@ -1202,27 +1224,27 @@ static void test_template_output_parsers() { "", "special_function", "{\"arg1\": 1}"), - common_chat_parse( + 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, - common_chat_parse( + 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, - common_chat_parse( + 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, - // common_chat_parse( + // test_chat_parse( // "I'm\nthinkingHello, world!\nWhat's up?", // COMMON_CHAT_FORMAT_HERMES_2_PRO)); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1230,7 +1252,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ true, { @@ -1238,7 +1260,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts_unparsed_md, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?\n```json\n{}```", /* is_partial= */ false, { @@ -1249,7 +1271,7 @@ static void test_template_output_parsers() { /* .parse_tool_calls = */ false, })); assert_msg_equals(message_assist_thoughts_unparsed_md_partial, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?\n```json\n{}```", /* is_partial= */ true, { @@ -1259,7 +1281,7 @@ static void test_template_output_parsers() { /* .thinking_forced_open = */ false, })); assert_msg_equals(message_assist_thoughts_unopened_unparsed, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1267,7 +1289,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1304,7 +1326,7 @@ static void test_template_output_parsers() { ""); assert_msg_equals( simple_assist_msg("", /* reasoning_content= */ "nah uhg"), - common_chat_parse( + test_chat_parse( "nah uhg", /* is_partial= */ false, { @@ -1328,7 +1350,7 @@ static void test_template_output_parsers() { assert_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}", /* is_partial= */ false, {COMMON_CHAT_FORMAT_LLAMA_3_X})); @@ -1366,7 +1388,7 @@ static void test_template_output_parsers() { for (auto is_partial : { false, true }) { assert_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "{\"arg1\": 1}", is_partial, {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1})); @@ -1374,7 +1396,7 @@ static void test_template_output_parsers() { assert_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "{\"arg1\": 1}<", /* is_partial= */ true, {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1})); @@ -1396,7 +1418,7 @@ static void test_template_output_parsers() { "", "special_function", "{\"arg1\": 1}"), - common_chat_parse( + test_chat_parse( "all\n" "Hello, world!\n" "nono\n" @@ -1405,27 +1427,27 @@ static void test_template_output_parsers() { /* is_partial= */ false, {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2})); assert_msg_equals(message_assist_call_python_lines, - common_chat_parse( + 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, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "special_function\n" "{\"arg1\": 1} \n ", /* is_partial= */ false, {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2})); assert_msg_equals(message_assist, - common_chat_parse( + test_chat_parse( "all\n" "Hello, world!\nWhat's up?", /* is_partial= */ false, @@ -1466,7 +1488,7 @@ static void test_template_output_parsers() { 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"), - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1477,7 +1499,7 @@ static void test_template_output_parsers() { })); assert_msg_equals( simple_assist_msg("", "I need to remember the correct syntax. It starts with <｜tool▁calls▁begin｜> and ends with"), - common_chat_parse( + test_chat_parse( "I need to remember the correct syntax. It starts with <｜tool▁calls▁begin｜> and ends with", /* is_partial= */ true, { @@ -1487,7 +1509,7 @@ static void test_template_output_parsers() { /* .thinking_forced_open = */ true, })); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1495,7 +1517,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts_unopened_unparsed, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1503,7 +1525,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1514,7 +1536,7 @@ static void test_template_output_parsers() { })); assert_msg_equals(message_assist_thoughts, // Latest template update (ast of 20250209) adds a trailing \n if add_generation_prompt is true. - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1543,12 +1565,12 @@ static void test_template_output_parsers() { 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, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_DEEPSEEK_R1})); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1556,7 +1578,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1567,7 +1589,7 @@ static void test_template_output_parsers() { })); assert_msg_equals(message_assist_call_thoughts_unparsed, - common_chat_parse( + test_chat_parse( "I'm\nthinking\n\n" "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" "```json\n" @@ -1576,7 +1598,7 @@ static void test_template_output_parsers() { /* is_partial= */ false, {COMMON_CHAT_FORMAT_DEEPSEEK_R1})); assert_msg_equals(message_assist_call, - common_chat_parse( + test_chat_parse( "<｜tool▁calls｜>function<｜tool▁sep｜>special_function\n" "```json\n" "{\"arg1\": 1}\n" @@ -1585,7 +1607,7 @@ static void test_template_output_parsers() { {COMMON_CHAT_FORMAT_DEEPSEEK_R1})); assert_msg_equals(message_assist_call_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinking\n\n" "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" "```json\n" @@ -1612,20 +1634,20 @@ static void test_template_output_parsers() { // Test parsing regular content assert_msg_equals(message_assist, - common_chat_parse( + test_chat_parse( "Hello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_GRANITE})); assert_msg_equals( message_assist, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1633,12 +1655,12 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts_unparsed_deepseek, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_GRANITE})); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ true, { @@ -1646,7 +1668,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(message_assist_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -1654,12 +1676,12 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK, })); assert_msg_equals(simple_assist_msg("I'm\nthinkingHello, world!\nWhat's up?"), - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_GRANITE})); assert_msg_equals(message_assist_empty, - common_chat_parse( + test_chat_parse( "I'm\nthinking", /* is_partial= */ true, { @@ -1681,32 +1703,32 @@ static void test_template_output_parsers() { })); assert_msg_equals( message_assist_empty, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "<|tool_call|>[{\"name\": \"special_function\"", /* is_partial= */ true, {COMMON_CHAT_FORMAT_GRANITE})); assert_msg_equals( message_assist_call_cutoff_args, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg", /* is_partial= */ true, { @@ -1717,7 +1739,7 @@ static void test_template_output_parsers() { // Test parsing tool calls with thinking assert_msg_equals( message_assist_call_thoughts, - common_chat_parse( + test_chat_parse( "I'm\nthinking<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, {", /* is_partial= */ true, { @@ -1757,7 +1779,7 @@ static void test_template_output_parsers() { 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"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthink", /* is_partial= */ true, { @@ -1765,7 +1787,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("", "I'm\nthinking"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthinking<|end|>", /* is_partial= */ true, { @@ -1773,7 +1795,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthinking<|end|>" "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?", /* is_partial= */ false, @@ -1782,7 +1804,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1"), - common_chat_parse( + 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, @@ -1791,7 +1813,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthinking<|end|>" "<|start|>assistant<|channel|>commentary to=functions.special_function<|message|>{\"arg1", /* is_partial= */ true, @@ -1800,7 +1822,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"), - common_chat_parse( + 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, @@ -1809,7 +1831,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"), - common_chat_parse( + 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, @@ -1818,7 +1840,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthinking<|end|>" "<|start|>assistant<|channel|>commentary<|message|>Hello, world!\nWhat's up?", /* is_partial= */ true, @@ -1827,7 +1849,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": 1}"), - common_chat_parse( + 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}", @@ -1840,7 +1862,7 @@ static void test_template_output_parsers() { // Test parse_tool_calls == false assert_msg_equals( simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthinking<|end|>" "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?", /* is_partial= */ true, @@ -1853,7 +1875,7 @@ static void test_template_output_parsers() { })); assert_msg_equals( simple_assist_msg("", "I'm\nthinking"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthinking<|end|>" "<|start|>assistant<|channel|>commentary to=functions.special_function<|message|>{\"arg1", /* is_partial= */ true, @@ -1866,7 +1888,7 @@ static void test_template_output_parsers() { })); assert_msg_equals( simple_assist_msg("", "I'm\nthinking"), - common_chat_parse( + 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, @@ -1882,7 +1904,7 @@ static void test_template_output_parsers() { assert_msg_equals( simple_assist_msg( "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthinking<|end|>" "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?", /* is_partial= */ false, @@ -1894,7 +1916,7 @@ static void test_template_output_parsers() { assert_msg_equals( simple_assist_msg( "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?"), - common_chat_parse( + test_chat_parse( "<|channel|>analysis<|message|>I'm\nthinking<|end|>" "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?", /* is_partial= */ false, @@ -1906,7 +1928,7 @@ static void test_template_output_parsers() { // Test tool calling in role header assert_msg_equals(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"), - common_chat_parse( + test_chat_parse( " to=functions.special_function<|channel|>commentary <|constrain|>json<|message|>{\"arg1\": 1}", /* is_partial= */ false, { @@ -1914,7 +1936,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"), - common_chat_parse( + test_chat_parse( " to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}", /* is_partial= */ false, { @@ -1922,7 +1944,7 @@ static void test_template_output_parsers() { /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO, })); assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"), - common_chat_parse( + 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, @@ -1944,7 +1966,7 @@ static void test_template_output_parsers() { // Test simple reasoning content assert_msg_equals( simple_assist_msg("Hello, world!", "I'm thinking about the answer"), - common_chat_parse( + test_chat_parse( "I'm thinking about the answerHello, world!", /* is_partial= */ false, { @@ -1959,7 +1981,7 @@ static void test_template_output_parsers() { msg_budget_reflect.reasoning_content = "Token usage: 45/1000\nI should continue thinking to find the best solution."; assert_msg_equals( msg_budget_reflect, - common_chat_parse( + 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.", @@ -1975,7 +1997,7 @@ static void test_template_output_parsers() { msg_tool_call.tool_calls.push_back({"calculate_sum", "{\"numbers\": [1, 2, 3]}", ""}); assert_msg_equals( msg_tool_call, - common_chat_parse( + test_chat_parse( "\n" "\n" "[1, 2, 3]\n" @@ -1992,7 +2014,7 @@ static void test_template_output_parsers() { msg_reasoning_tool.tool_calls.push_back({"calculate_sum", "{\"numbers\": [1, 2, 3]}", ""}); assert_msg_equals( msg_reasoning_tool, - common_chat_parse( + test_chat_parse( "I need to calculate the sum of these numbers" "\n" "\n" @@ -2013,7 +2035,7 @@ static void test_template_output_parsers() { 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 = common_chat_parse(partial, true, { COMMON_CHAT_FORMAT_SEED_OSS, COMMON_REASONING_FORMAT_DEEPSEEK }); + 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())); } @@ -2026,7 +2048,7 @@ static void test_template_output_parsers() { msg_multi_param.tool_calls.push_back({"process_data", "{\"input\": \"test\", \"format\": \"json\"}", ""}); assert_msg_equals( msg_multi_param, - common_chat_parse( + test_chat_parse( "\n" "\n" "test\n" @@ -2039,7 +2061,7 @@ static void test_template_output_parsers() { // 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\":"), - common_chat_parse( + test_chat_parse( "\n" "\n" "[1,\n", @@ -2049,7 +2071,7 @@ static void test_template_output_parsers() { // Test incomplete reasoning tag assert_msg_equals( simple_assist_msg("", "I was thinking"), - common_chat_parse( + test_chat_parse( "I was thinking", /* is_partial= */ true, { @@ -2060,7 +2082,7 @@ static void test_template_output_parsers() { // Test content without reasoning assert_msg_equals( simple_assist_msg("This is a simple response without reasoning."), - common_chat_parse( + test_chat_parse( "This is a simple response without reasoning.", /* is_partial= */ false, {COMMON_CHAT_FORMAT_SEED_OSS})); @@ -2074,14 +2096,14 @@ static void test_template_output_parsers() { // Test parsing regular content assert_msg_equals(message_assist, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -2091,14 +2113,14 @@ static void test_template_output_parsers() { // Test parsing tool calls assert_msg_equals(message_assist_call, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "I'm\nthinking[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]", /* is_partial= */ false, { @@ -2108,7 +2130,7 @@ static void test_template_output_parsers() { // Test tool calls with extra content assert_msg_equals(message_assist_call_content, - common_chat_parse( + test_chat_parse( "[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]Hello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_NEMOTRON_V2} @@ -2116,7 +2138,7 @@ static void test_template_output_parsers() { // Test tool calls with extra content AND thinking assert_msg_equals(message_assist_call_thoughts_content, - common_chat_parse( + test_chat_parse( "I'm\nthinking[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]Hello, world!\nWhat's up?", /* is_partial= */ false, { @@ -2149,7 +2171,7 @@ static void test_template_output_parsers() { 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"), - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -2161,7 +2183,7 @@ static void test_template_output_parsers() { // variant: thinking forced open, reasoning_format none assert_msg_equals( simple_assist_msg("REASONINGok", ""), - common_chat_parse( + test_chat_parse( "REASONINGok", /* is_partial= */ false, { @@ -2174,7 +2196,7 @@ static void test_template_output_parsers() { // variant: happy path for when it works as the model card says it should assert_msg_equals( simple_assist_msg("", "", "get_time", "{\"city\":\"Tokyo\"}"), - common_chat_parse( + test_chat_parse( "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>get_time<｜tool▁sep｜>{\"city\": \"Tokyo\"}<｜tool▁call▁end｜><｜tool▁calls▁end｜>", /* is_partial= */ false, { @@ -2187,7 +2209,7 @@ static void test_template_output_parsers() { // variant: simple + thinking open assert_msg_equals( simple_assist_msg("", "REASONING", "get_time", "{\"city\":\"Tokyo\"}"), - common_chat_parse( + 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, { @@ -2205,7 +2227,7 @@ static void test_template_output_parsers() { message_assist_multiple_calls.tool_calls.push_back({"get_weather", "{\"city\":\"Paris\"}", ""}); assert_msg_equals( message_assist_multiple_calls, - common_chat_parse( + 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, { @@ -2218,7 +2240,7 @@ static void test_template_output_parsers() { // 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\"}"), - common_chat_parse( + 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, { @@ -2234,7 +2256,7 @@ static void test_template_output_parsers() { // add the reasoning content as regular content and parse the tool calls. assert_msg_equals( simple_assist_msg("REASONING", "", "get_time", "{\"city\":\"Tokyo\"}"), - common_chat_parse( + 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, { @@ -2247,7 +2269,7 @@ static void test_template_output_parsers() { // 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｜>", "", ""), - common_chat_parse( + 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, { @@ -2260,7 +2282,7 @@ static void test_template_output_parsers() { // variant: thinking not forced open + missing reasoning + no tool calls assert_msg_equals( simple_assist_msg("CONTENT", ""), - common_chat_parse( + test_chat_parse( "CONTENT", /* is_partial= */ false, { @@ -2280,14 +2302,14 @@ static void test_template_output_parsers() { // Test parsing regular content assert_msg_equals(message_assist, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "<|inner_prefix|>I'm\nthinking<|inner_suffix|>Hello, world!\nWhat's up?", /* is_partial= */ false, { @@ -2297,14 +2319,14 @@ static void test_template_output_parsers() { // Test parsing tool calls assert_msg_equals(message_assist_call, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "<|inner_prefix|>I'm\nthinking<|inner_suffix|><|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>", /* is_partial= */ false, { @@ -2314,7 +2336,7 @@ static void test_template_output_parsers() { // Test tool calls with extra content assert_msg_equals(message_assist_call_content, - common_chat_parse( + test_chat_parse( "<|tools_prefix|>[{\"special_function\": {\"arg1\": 1}}]<|tools_suffix|>Hello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_APERTUS} @@ -2322,7 +2344,7 @@ static void test_template_output_parsers() { // Test tool calls with extra content AND thinking assert_msg_equals(message_assist_call_thoughts_content, - common_chat_parse( + 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, { @@ -2402,7 +2424,7 @@ Hey there!<|im_end|> // Test parsing regular content assert_msg_equals(message_assist, - common_chat_parse( + test_chat_parse( "Hello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_LFM2_WITH_JSON_TOOLS})); @@ -2413,7 +2435,7 @@ Hey there!<|im_end|> msg_single_tool_call.tool_calls.push_back({"special_function", "{\"arg1\":1}", ""}); assert_msg_equals( msg_single_tool_call, - common_chat_parse( + 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})); @@ -2424,7 +2446,7 @@ Hey there!<|im_end|> msg_tool_call_string.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""}); assert_msg_equals( msg_tool_call_string, - common_chat_parse( + 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})); @@ -2435,7 +2457,7 @@ Hey there!<|im_end|> msg_multi_args.tool_calls.push_back({"calculate", "{\"x\":10,\"y\":20,\"operation\":\"add\"}", ""}); assert_msg_equals( msg_multi_args, - common_chat_parse( + 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})); @@ -2447,7 +2469,7 @@ Hey there!<|im_end|> msg_multiple_tools.tool_calls.push_back({"get_time", "{\"timezone\":\"UTC\"}", ""}); assert_msg_equals( msg_multiple_tools, - common_chat_parse( + 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})); @@ -2459,7 +2481,7 @@ Hey there!<|im_end|> msg_content_before_tool.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""}); assert_msg_equals( msg_content_before_tool, - common_chat_parse( + 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})); @@ -2471,7 +2493,7 @@ Hey there!<|im_end|> msg_content_after_tool.tool_calls.push_back({"get_weather", "{\"location\":\"Paris\"}", ""}); assert_msg_equals( msg_content_after_tool, - common_chat_parse( + 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})); @@ -2482,7 +2504,7 @@ Hey there!<|im_end|> msg_tool_call_newlines.tool_calls.push_back({"get_current_time", "{\"location\":\"Paris\"}", ""}); assert_msg_equals( msg_tool_call_newlines, - common_chat_parse( + 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})); @@ -2502,14 +2524,14 @@ Hey there!<|im_end|> // Test parsing regular content assert_msg_equals(message_assist, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -2519,14 +2541,14 @@ Hey there!<|im_end|> // Test parsing tool calls assert_msg_equals(message_assist_call, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "I'm\nthinking1", /* is_partial= */ false, { @@ -2536,7 +2558,7 @@ Hey there!<|im_end|> // Test tool calls with extra content assert_msg_equals(message_assist_call_content, - common_chat_parse( + test_chat_parse( "1Hello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_MINIMAX_M2} @@ -2544,7 +2566,7 @@ Hey there!<|im_end|> // Test tool calls with extra content AND thinking assert_msg_equals(message_assist_call_thoughts_content, - common_chat_parse( + test_chat_parse( "I'm\nthinking1Hello, world!\nWhat's up?", /* is_partial= */ false, { @@ -2555,25 +2577,25 @@ Hey there!<|im_end|> // 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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { /* .format = */ COMMON_CHAT_FORMAT_MINIMAX_M2, /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE }); }); @@ -2618,14 +2640,14 @@ Hey there!<|im_end|> // Test parsing regular content assert_msg_equals(message_assist, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "\nI'm\nthinking\nHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -2635,14 +2657,14 @@ Hey there!<|im_end|> // Test parsing tool calls assert_msg_equals(message_assist_call, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "\nI'm\nthinking\nspecial_function\narg1\n1\n", /* is_partial= */ false, { @@ -2652,7 +2674,7 @@ Hey there!<|im_end|> // Test tool calls with extra content assert_msg_equals(message_assist_call_content, - common_chat_parse( + test_chat_parse( "\nspecial_function\narg1\n1\nHello, world!\nWhat's up?", /* is_partial= */ false, {COMMON_CHAT_FORMAT_GLM_4_5} @@ -2660,7 +2682,7 @@ Hey there!<|im_end|> // Test tool calls with extra content AND thinking assert_msg_equals(message_assist_call_thoughts_content, - common_chat_parse( + test_chat_parse( "\nI'm\nthinkingHello, world!\nWhat's up?\nspecial_function\narg1\n1\n", /* is_partial= */ false, { @@ -2671,19 +2693,19 @@ Hey there!<|im_end|> // 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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 }); }); @@ -2699,7 +2721,7 @@ Hey there!<|im_end|> "score\n" "95.5\n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_GLM_4_5}); }); + [&](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" @@ -2710,18 +2732,18 @@ Hey there!<|im_end|> "type\n" "text\n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_GLM_4_5}); }); + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 }); }); @@ -2766,14 +2788,14 @@ Hey there!<|im_end|> // Test parsing regular content assert_msg_equals(message_assist, - common_chat_parse( + 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, - common_chat_parse( + test_chat_parse( "I'm\nthinkingHello, world!\nWhat's up?", /* is_partial= */ false, { @@ -2783,14 +2805,14 @@ Hey there!<|im_end|> // Test parsing tool calls assert_msg_equals(message_assist_call, - common_chat_parse( + 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, - common_chat_parse( + 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, { @@ -2800,7 +2822,7 @@ Hey there!<|im_end|> // Test tool calls with extra content assert_msg_equals(message_assist_call_content, - common_chat_parse( + 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} @@ -2808,7 +2830,7 @@ Hey there!<|im_end|> // Test tool calls with extra content AND thinking assert_msg_equals(message_assist_call_thoughts_content, - common_chat_parse( + 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, { @@ -2819,43 +2841,43 @@ Hey there!<|im_end|> // 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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](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 common_chat_parse(msg, /* is_partial= */ true, { + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { /* .format = */ COMMON_CHAT_FORMAT_KIMI_K2, /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK }); }); @@ -2864,19 +2886,19 @@ Hey there!<|im_end|> "<|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 common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); }); + [&](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 common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); }); + [&](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 common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); }); + [&](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.", "", @@ -2886,7 +2908,7 @@ Hey there!<|im_end|> "<|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 common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_KIMI_K2}); }); + [&](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\"}", "" }); @@ -2908,7 +2930,7 @@ Hey there!<|im_end|> "{\"message\":\"Hello! 👋 🌟 🚀 Testing emojis: 😀😃😄😁 and symbols: ∑∏∆∇\"}" "<|tool_call_end|>" "<|tool_calls_section_end|>", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, { + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { COMMON_CHAT_FORMAT_KIMI_K2, COMMON_REASONING_FORMAT_DEEPSEEK }); }); @@ -2917,7 +2939,7 @@ Hey there!<|im_end|> "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 common_chat_parse(msg, /* is_partial= */ true, { + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { COMMON_CHAT_FORMAT_KIMI_K2, COMMON_REASONING_FORMAT_DEEPSEEK }); }); @@ -2926,7 +2948,7 @@ Hey there!<|im_end|> "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 common_chat_parse(msg, /* is_partial= */ true, { + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, { COMMON_CHAT_FORMAT_KIMI_K2, COMMON_REASONING_FORMAT_DEEPSEEK }); }); @@ -3001,7 +3023,7 @@ Hey there!<|im_end|> // Basic XML tool call parsing assert_msg_equals( message_assist_call, - common_chat_parse( + test_chat_parse( "\n" " \n" " \n" @@ -3036,7 +3058,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Special characters and Unicode common_chat_msg expected_special_chars; @@ -3053,7 +3075,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Multiline content with newlines and indentation common_chat_msg expected_multiline; @@ -3072,7 +3094,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // JSON object as parameter value common_chat_msg expected_json_param; @@ -3090,7 +3112,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Array as parameter value common_chat_msg expected_array_param; @@ -3108,7 +3130,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Empty parameter common_chat_msg expected_empty_param; @@ -3125,7 +3147,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Boolean values (true/false) common_chat_msg expected_boolean; @@ -3146,7 +3168,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Null value common_chat_msg expected_null; @@ -3164,7 +3186,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Negative numbers and scientific notation common_chat_msg expected_numbers; @@ -3188,7 +3210,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // XML-like content in parameters (should be escaped) common_chat_msg expected_xml_content; @@ -3206,7 +3228,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Quotes and escape characters common_chat_msg expected_quotes; @@ -3224,7 +3246,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Long parameter value (simplified) std::string long_text = "This is a long text parameter that should test the parser's ability to handle larger amounts of text data."; @@ -3244,7 +3266,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Mixed content with text before and after tool call common_chat_msg expected_mixed_content; @@ -3263,7 +3285,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Compact format (no extra whitespace) common_chat_msg expected_compact; @@ -3275,7 +3297,7 @@ Hey there!<|im_end|> test_parser_with_streaming( expected_compact, "value", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Function name with underscores and numbers common_chat_msg expected_complex_name; @@ -3293,7 +3315,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Parameter names with underscores and numbers common_chat_msg expected_complex_params; @@ -3317,7 +3339,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Very deeply nested XML content in parameter common_chat_msg expected_deep_xml; @@ -3335,7 +3357,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Parameter with only whitespace common_chat_msg expected_whitespace_param; @@ -3353,7 +3375,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Parameter with tabs and mixed whitespace common_chat_msg expected_mixed_whitespace; @@ -3373,7 +3395,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Control characters and special Unicode common_chat_msg expected_control_chars; @@ -3391,7 +3413,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Emoji and extended Unicode characters common_chat_msg expected_emoji; @@ -3409,7 +3431,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Mathematical expressions and formulas common_chat_msg expected_math; @@ -3427,7 +3449,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // SQL injection-like content (should be safely escaped) common_chat_msg expected_sql; @@ -3445,7 +3467,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // HTML/XML injection content common_chat_msg expected_html; @@ -3463,7 +3485,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Binary-like content (base64) common_chat_msg expected_binary; @@ -3481,7 +3503,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); // Very large numbers (should be parsed as scientific notation) common_chat_msg expected_large_numbers; @@ -3499,7 +3521,7 @@ Hey there!<|im_end|> " \n" " \n" "", - [&](const std::string &msg) { return common_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); + [&](const std::string &msg) { return test_chat_parse(msg, /* is_partial= */ true, {COMMON_CHAT_FORMAT_QWEN3_CODER_XML}); }); } { diff --git a/tools/cli/cli.cpp b/tools/cli/cli.cpp index caad29bac7..0926e552e9 100644 --- a/tools/cli/cli.cpp +++ b/tools/cli/cli.cpp @@ -66,21 +66,25 @@ struct cli_context { defaults.stream = true; // make sure we always use streaming mode defaults.timings_per_token = true; // in order to get timings even when we cancel mid-way // defaults.return_progress = true; // TODO: show progress - defaults.oaicompat_chat_syntax.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; } std::string generate_completion(result_timings & out_timings) { server_response_reader rd = ctx_server.get_response_reader(); - auto formatted = format_chat(); + auto chat_params = format_chat(); { // TODO: reduce some copies here in the future server_task task = server_task(SERVER_TASK_TYPE_COMPLETION); task.id = rd.get_new_id(); task.index = 0; - task.params = defaults; // copy - task.cli_prompt = formatted.prompt; // copy - task.cli_files = input_files; // copy + task.params = defaults; // copy + task.cli_prompt = chat_params.prompt; // copy + task.cli_files = input_files; // copy task.cli = true; + + // chat template settings + task.params.chat_parser_params = common_chat_parser_params(chat_params); + task.params.chat_parser_params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; + rd.post_task({std::move(task)}); } @@ -172,7 +176,6 @@ struct cli_context { inputs.use_jinja = chat_params.use_jinja; inputs.parallel_tool_calls = false; inputs.add_generation_prompt = true; - inputs.reasoning_format = chat_params.reasoning_format; inputs.enable_thinking = chat_params.enable_thinking; // Apply chat template to the list of messages diff --git a/tools/server/server-common.h b/tools/server/server-common.h index 7f4c073874..99e9c5e6f1 100644 --- a/tools/server/server-common.h +++ b/tools/server/server-common.h @@ -274,6 +274,7 @@ std::vector tokenize_input_prompts( // OAI utils // +// global server parameters for chat formatting / parsing struct server_chat_params { bool use_jinja; bool prefill_assistant; diff --git a/tools/server/server-task.cpp b/tools/server/server-task.cpp index 35ec7ad2ad..2add9667d1 100644 --- a/tools/server/server-task.cpp +++ b/tools/server/server-task.cpp @@ -68,10 +68,10 @@ json task_params::to_json(bool only_metrics) const { {"stream", stream}, {"n_probs", sampling.n_probs}, {"min_keep", sampling.min_keep}, - {"chat_format", common_chat_format_name(oaicompat_chat_syntax.format)}, - {"reasoning_format", common_reasoning_format_name(oaicompat_chat_syntax.reasoning_format)}, - {"reasoning_in_content", oaicompat_chat_syntax.reasoning_in_content}, - {"thinking_forced_open", oaicompat_chat_syntax.thinking_forced_open}, + {"chat_format", common_chat_format_name(chat_parser_params.format)}, + {"reasoning_format", common_reasoning_format_name(chat_parser_params.reasoning_format)}, + {"reasoning_in_content", chat_parser_params.reasoning_in_content}, + {"thinking_forced_open", chat_parser_params.thinking_forced_open}, {"samplers", samplers}, {"speculative.n_max", speculative.n_max}, {"speculative.n_min", speculative.n_min}, @@ -127,10 +127,10 @@ json task_params::to_json(bool only_metrics) const { {"grammar_lazy", sampling.grammar_lazy}, {"grammar_triggers", grammar_triggers}, {"preserved_tokens", sampling.preserved_tokens}, - {"chat_format", common_chat_format_name(oaicompat_chat_syntax.format)}, - {"reasoning_format", common_reasoning_format_name(oaicompat_chat_syntax.reasoning_format)}, - {"reasoning_in_content", oaicompat_chat_syntax.reasoning_in_content}, - {"thinking_forced_open", oaicompat_chat_syntax.thinking_forced_open}, + {"chat_format", common_chat_format_name(chat_parser_params.format)}, + {"reasoning_format", common_reasoning_format_name(chat_parser_params.reasoning_format)}, + {"reasoning_in_content", chat_parser_params.reasoning_in_content}, + {"thinking_forced_open", chat_parser_params.thinking_forced_open}, {"samplers", samplers}, {"speculative.n_max", speculative.n_max}, {"speculative.n_min", speculative.n_min}, @@ -291,21 +291,21 @@ task_params server_task::params_from_json_cmpl( { auto it = data.find("chat_format"); if (it != data.end()) { - params.oaicompat_chat_syntax.format = static_cast(it->get()); - SRV_INF("Chat format: %s\n", common_chat_format_name(params.oaicompat_chat_syntax.format)); + params.chat_parser_params.format = static_cast(it->get()); + SRV_INF("Chat format: %s\n", common_chat_format_name(params.chat_parser_params.format)); } else { - params.oaicompat_chat_syntax.format = defaults.oaicompat_chat_syntax.format; + params.chat_parser_params.format = defaults.chat_parser_params.format; } common_reasoning_format reasoning_format = params_base.reasoning_format; if (data.contains("reasoning_format")) { reasoning_format = common_reasoning_format_from_name(data.at("reasoning_format").get()); } - params.oaicompat_chat_syntax.reasoning_format = reasoning_format; - params.oaicompat_chat_syntax.reasoning_in_content = params.stream && (reasoning_format == COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY); - params.oaicompat_chat_syntax.thinking_forced_open = json_value(data, "thinking_forced_open", false); - params.oaicompat_chat_syntax.parse_tool_calls = json_value(data, "parse_tool_calls", false); + params.chat_parser_params.reasoning_format = reasoning_format; + params.chat_parser_params.reasoning_in_content = params.stream && (reasoning_format == COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY); + params.chat_parser_params.thinking_forced_open = json_value(data, "thinking_forced_open", false); + params.chat_parser_params.parse_tool_calls = json_value(data, "parse_tool_calls", false); if (data.contains("chat_parser")) { - params.oaicompat_chat_syntax.parser.load(data.at("chat_parser").get()); + params.chat_parser_params.parser.load(data.at("chat_parser").get()); } } @@ -722,7 +722,7 @@ common_chat_msg task_result_state::update_chat_msg( auto new_msg = common_chat_parse( generated_text, is_partial, - oaicompat_chat_syntax); + chat_parser_params); if (!new_msg.empty()) { new_msg.set_tool_call_ids(generated_tool_call_ids, gen_tool_call_id); chat_msg = new_msg; diff --git a/tools/server/server-task.h b/tools/server/server-task.h index daffe0c904..6835eef507 100644 --- a/tools/server/server-task.h +++ b/tools/server/server-task.h @@ -78,7 +78,9 @@ struct task_params { task_response_type res_type = TASK_RESPONSE_TYPE_NONE; std::string oaicompat_model; std::string oaicompat_cmpl_id; - common_chat_syntax oaicompat_chat_syntax; + + // per-request parameters for chat parsing + common_chat_parser_params chat_parser_params; // Embeddings int32_t embd_normalize = 2; // (-1=none, 0=max absolute int16, 1=taxicab, 2=Euclidean/L2, >2=p-norm) @@ -91,7 +93,7 @@ struct task_params { struct task_result_state { // tracking diffs for partial tool calls std::vector diffs; - common_chat_syntax oaicompat_chat_syntax; + common_chat_parser_params chat_parser_params; common_chat_msg chat_msg; std::string generated_text; // append new chunks of generated text here std::vector generated_tool_call_ids; @@ -100,8 +102,8 @@ struct task_result_state { bool anthropic_thinking_block_started = false; bool anthropic_text_block_started = false; - task_result_state(const common_chat_syntax & oaicompat_chat_syntax) - : oaicompat_chat_syntax(oaicompat_chat_syntax) {} + task_result_state(const common_chat_parser_params & chat_parser_params) + : chat_parser_params(chat_parser_params) {} // parse partial tool calls and update the internal state common_chat_msg update_chat_msg( @@ -230,7 +232,7 @@ struct server_task { // the task will be moved into queue, then onto slots // however, the state must be kept by caller (e.g., HTTP thread) task_result_state create_state() const { - return task_result_state(params.oaicompat_chat_syntax); + return task_result_state(params.chat_parser_params); } bool is_parent() const { From 1c7cf94b22a9dc6b1d32422f72a627787a4783a3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Adrien=20Gallou=C3=ABt?= Date: Tue, 20 Jan 2026 18:28:43 +0100 Subject: [PATCH 25/28] common, server : use the same User-Agent by default (#18957) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This commit also ensures that if a custom User-Agent is used, it will be the only one sent. Signed-off-by: Adrien Gallouët --- common/common.h | 2 ++ common/download.cpp | 33 +++++++++++++++++++-------------- tools/server/server-common.cpp | 1 - tools/server/server-common.h | 2 -- 4 files changed, 21 insertions(+), 17 deletions(-) diff --git a/common/common.h b/common/common.h index 8247949ded..96c990c05d 100644 --- a/common/common.h +++ b/common/common.h @@ -57,6 +57,8 @@ extern const char * LLAMA_COMMIT; extern const char * LLAMA_COMPILER; extern const char * LLAMA_BUILD_TARGET; +const static std::string build_info("b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT); + struct common_control_vector_load_info; // diff --git a/common/download.cpp b/common/download.cpp index a37780421a..57f29a23ba 100644 --- a/common/download.cpp +++ b/common/download.cpp @@ -314,23 +314,26 @@ static bool common_pull_file(httplib::Client & cli, // download one single file from remote URL to local path // returns status code or -1 on error -static int common_download_file_single_online(const std::string & url, - const std::string & path, - const std::string & bearer_token, - const common_header_list & custom_headers) { +static int common_download_file_single_online(const std::string & url, + const std::string & path, + const std::string & bearer_token, + const common_header_list & custom_headers) { static const int max_attempts = 3; static const int retry_delay_seconds = 2; auto [cli, parts] = common_http_client(url); - httplib::Headers default_headers = {{"User-Agent", "llama-cpp"}}; - if (!bearer_token.empty()) { - default_headers.insert({"Authorization", "Bearer " + bearer_token}); - } + httplib::Headers headers; for (const auto & h : custom_headers) { - default_headers.emplace(h.first, h.second); + headers.emplace(h.first, h.second); } - cli.set_default_headers(default_headers); + if (headers.find("User-Agent") == headers.end()) { + headers.emplace("User-Agent", "llama-cpp/" + build_info); + } + if (!bearer_token.empty()) { + headers.emplace("Authorization", "Bearer " + bearer_token); + } + cli.set_default_headers(headers); const bool file_exists = std::filesystem::exists(path); @@ -437,10 +440,12 @@ std::pair> common_remote_get_content(const std::string const common_remote_params & params) { auto [cli, parts] = common_http_client(url); - httplib::Headers headers = {{"User-Agent", "llama-cpp"}}; - - for (const auto & header : params.headers) { - headers.emplace(header.first, header.second); + httplib::Headers headers; + for (const auto & h : params.headers) { + headers.emplace(h.first, h.second); + } + if (headers.find("User-Agent") == headers.end()) { + headers.emplace("User-Agent", "llama-cpp/" + build_info); } if (params.timeout > 0) { diff --git a/tools/server/server-common.cpp b/tools/server/server-common.cpp index 1bbe85322a..4aeeda2ffe 100644 --- a/tools/server/server-common.cpp +++ b/tools/server/server-common.cpp @@ -779,7 +779,6 @@ static void handle_media( // download remote image // TODO @ngxson : maybe make these params configurable common_remote_params params; - params.headers.push_back({"User-Agent", "llama.cpp/" + build_info}); params.max_size = 1024 * 1024 * 10; // 10MB params.timeout = 10; // seconds SRV_INF("downloading image from '%s'\n", url.c_str()); diff --git a/tools/server/server-common.h b/tools/server/server-common.h index 99e9c5e6f1..a88d40494a 100644 --- a/tools/server/server-common.h +++ b/tools/server/server-common.h @@ -13,8 +13,6 @@ #include #include -const static std::string build_info("b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT); - using json = nlohmann::ordered_json; #define SLT_INF(slot, fmt, ...) LOG_INF("slot %12.*s: id %2d | task %d | " fmt, 12, __func__, (slot).id, ((slot).task ? (slot).task->id : -1), __VA_ARGS__) From 5bd341c9a135a13f901c4cacacc27fa5b299ce19 Mon Sep 17 00:00:00 2001 From: Oliver Simons Date: Wed, 21 Jan 2026 02:34:29 +0100 Subject: [PATCH 26/28] CUDA: Fix builds for older CCCL versions by ifdefing strided_iterator (#18964) * CUDA: Fix builds for older CCCL versions by ifdefing strided_iterator Strided iterator was added in [CCCL 3.1](https://github.com/NVIDIA/cccl/releases/tag/v3.1.0), which is packaged into [CTK 13.1](https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#id5) * Unindent as per code review request --- ggml/src/ggml-cuda/argsort.cu | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/ggml/src/ggml-cuda/argsort.cu b/ggml/src/ggml-cuda/argsort.cu index cf7a44f7ad..4896669c32 100644 --- a/ggml/src/ggml-cuda/argsort.cu +++ b/ggml/src/ggml-cuda/argsort.cu @@ -2,6 +2,9 @@ #ifdef GGML_CUDA_USE_CUB # include +# if (CCCL_MAJOR_VERSION >= 3 && CCCL_MINOR_VERSION >= 1) +# define STRIDED_ITERATOR_AVAILABLE +# endif using namespace cub; #endif // GGML_CUDA_USE_CUB @@ -14,6 +17,14 @@ static __global__ void init_indices(int * indices, const int ncols, const int nr } } +#ifndef STRIDED_ITERATOR_AVAILABLE +static __global__ void init_offsets(int * offsets, const int ncols, const int nrows) { + const int idx = blockIdx.x * blockDim.x + threadIdx.x; + if (idx <= nrows) { + offsets[idx] = idx * ncols; + } +} +#endif // STRIDED_ITERATOR_AVAILABLE #ifdef GGML_CUDA_USE_CUB void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool, @@ -33,8 +44,14 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool, const dim3 grid_size((ncols + block_size - 1) / block_size, nrows); init_indices<<>>(temp_indices, ncols, nrows); +#ifdef STRIDED_ITERATOR_AVAILABLE auto offset_iterator = cuda::make_strided_iterator(cuda::make_counting_iterator(0), ncols); - +#else + ggml_cuda_pool_alloc offsets_alloc(pool, nrows + 1); + int * offset_iterator = offsets_alloc.get(); + const dim3 offset_grid((nrows + block_size - 1) / block_size); + init_offsets<<>>(offset_iterator, ncols, nrows); +#endif CUDA_CHECK(cudaMemcpyAsync(temp_keys, x, ncols * nrows * sizeof(float), cudaMemcpyDeviceToDevice, stream)); size_t temp_storage_bytes = 0; From 37c35f0e1c625831687b146cbb0a57654ef88ca2 Mon Sep 17 00:00:00 2001 From: Matthieu Coudron <886074+teto@users.noreply.github.com> Date: Wed, 21 Jan 2026 07:52:46 +0100 Subject: [PATCH 27/28] gguf: display strerrno when cant load a model (#18884) I've had issues loading models with llama-server: [44039] E gguf_init_from_file: failed to open GGUF file 'mistral-7b-v0.1.Q8_0.gguf' and I was sure it could access the file. Seems like --models-dir and --models-presets dont interact like I thought they would but I salvaged this snippet that helps troubleshooting [44039] E gguf_init_from_file: failed to open GGUF file 'mistral-7b-v0.1.Q8_0.gguf' (errno No such file or directory) --- ggml/src/gguf.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ggml/src/gguf.cpp b/ggml/src/gguf.cpp index b165d8bdc6..bfab5c4d60 100644 --- a/ggml/src/gguf.cpp +++ b/ggml/src/gguf.cpp @@ -734,7 +734,7 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p FILE * file = ggml_fopen(fname, "rb"); if (!file) { - GGML_LOG_ERROR("%s: failed to open GGUF file '%s'\n", __func__, fname); + GGML_LOG_ERROR("%s: failed to open GGUF file '%s' (%s)\n", __func__, fname, strerror(errno)); return nullptr; } From 12a4a47e6aaf691492644c39da453745aaee1672 Mon Sep 17 00:00:00 2001 From: "Piotr Wilkin (ilintar)" Date: Wed, 21 Jan 2026 12:35:20 +0100 Subject: [PATCH 28/28] Fix GLM 4.7 Lite MoE gating func (#18980) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Fix GLM 4.7 MoE gating func * Update src/models/deepseek2.cpp Co-authored-by: Sigbjørn Skjæret * Update src/llama-model.cpp Co-authored-by: Xuan-Son Nguyen --------- Co-authored-by: Sigbjørn Skjæret Co-authored-by: Xuan-Son Nguyen --- src/llama-model.cpp | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 94c47dc248..255289b7c8 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -1713,7 +1713,12 @@ void llama_model::load_hparams(llama_model_loader & ml) { if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) { // for compatibility with existing DeepSeek V2 and V2.5 GGUFs // that have no expert_gating_func model parameter set - hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX; + if ((hparams.n_layer == 47 || hparams.n_layer == 48) && n_vocab == 154880) { + // GLM 4.7 Lite + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID; + } else { + hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX; + } } if (ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL, hparams.rope_yarn_log_mul, 0.0f)) {