78 lines
2.1 KiB
C++
78 lines
2.1 KiB
C++
#include <sycl/sycl.hpp>
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#include "common.hpp"
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#include "add-id.hpp"
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static void add_id_kernel(
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const float* src0,
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const float* src1,
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const int32_t* src2,
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float* dst,
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int64_t ne0,
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int64_t ne1,
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size_t nb01,
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size_t nb02,
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size_t nb11,
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size_t nb21,
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sycl::nd_item<3> item_ct1) {
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const int64_t i1 = item_ct1.get_group(2);
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const int64_t i2 = item_ct1.get_group(1);
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const int i11 =
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*(const int32_t*)((const char*)src2 + i1 * sizeof(int32_t) + i2 * nb21);
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const size_t nb1 = ne0 * sizeof(float);
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const size_t nb2 = ne1 * nb1;
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float* dst_row = (float*)((char*)dst + i1 * nb1 + i2 * nb2);
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const float* src0_row =
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(const float*)((const char*)src0 + i1 * nb01 + i2 * nb02);
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const float* src1_row = (const float*)((const char*)src1 + i11 * nb11);
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for (int64_t i0 = item_ct1.get_local_id(2); i0 < ne0;
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i0 += item_ct1.get_local_range(2)) {
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dst_row[i0] = src0_row[i0] + src1_row[i0];
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}
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}
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void ggml_sycl_add_id(ggml_backend_sycl_context& ctx, ggml_tensor* dst) {
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const ggml_tensor* src0 = dst->src[0];
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const ggml_tensor* src1 = dst->src[1];
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const ggml_tensor* src2 = dst->src[2];
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GGML_TENSOR_TERNARY_OP_LOCALS
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GGML_ASSERT(dst->type == GGML_TYPE_F32);
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GGML_ASSERT(src0->type == GGML_TYPE_F32);
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GGML_ASSERT(src1->type == GGML_TYPE_F32);
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GGML_ASSERT(src2->type == GGML_TYPE_I32);
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GGML_ASSERT(nb00 == sizeof(float));
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GGML_ASSERT(nb10 == sizeof(float));
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GGML_ASSERT(nb20 == sizeof(int32_t));
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const float* src0_d = (const float*)src0->data;
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const float* src1_d = (const float*)src1->data;
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const int32_t* src2_d = (const int32_t*)src2->data;
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float* dst_d = (float*)dst->data;
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int threads = std::min((int)ne00, 768); // cols
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ctx.stream()->parallel_for(
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sycl::nd_range<3>(
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sycl::range<3>(1, ne02, ne01) * sycl::range<3>(1, 1, threads),
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sycl::range<3>(1, 1, threads)),
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[=](sycl::nd_item<3> item_ct1) {
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add_id_kernel(
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src0_d,
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src1_d,
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src2_d,
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dst_d,
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ne0,
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ne1,
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nb01,
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nb02,
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nb11,
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nb21,
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item_ct1);
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});
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}
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