8293970542
* Rename oneMKL Interface to oneMath * Use oneMath for Intel vendor * Rename occurences to mkl * clang-format * Silence verbose warnings * Set oneMath HIP_TARGETS * Fix silence warnings * Remove step to build oneMath from build instructions * Use fixed oneMath version * Remove INTEL_CPU * Fold CMake oneDNN conditions * Use Intel oneMKL for Intel devices * Improve CMake message * Link against MKL::MKL_SYCL::BLAS only * Move oneMath documentation to Nvidia and AMD sections
46 lines
1.6 KiB
C++
46 lines
1.6 KiB
C++
#include "outprod.hpp"
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void ggml_sycl_op_out_prod(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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GGML_ASSERT(src0->type == GGML_TYPE_F32);
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GGML_ASSERT(src1->type == GGML_TYPE_F32);
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GGML_ASSERT(dst->type == GGML_TYPE_F32);
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GGML_ASSERT(ggml_is_contiguous(src0));
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GGML_ASSERT(ggml_is_contiguous(dst));
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GGML_TENSOR_BINARY_OP_LOCALS
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// Get SYCL queue
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dpct::queue_ptr stream = ctx.stream();
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// Dimension checks
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GGML_ASSERT(ne01 == ne11); // Inner dimensions must match
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GGML_ASSERT(ne0 == ne00); // Output rows match src0 rows
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GGML_ASSERT(ne1 == ne10); // Output cols match src1 cols
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// Get data pointers
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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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float* dst_d = (float*)dst->data;
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// GEMM parameters
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const float alpha = 1.0f;
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const float beta = 0.0f;
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// Handle transposition of src1
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const bool src1_T = ggml_is_transposed(src1);
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const oneapi::math::transpose src1_op = src1_T ? oneapi::math::transpose::nontrans : oneapi::math::transpose::trans;
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const int64_t ldb = (src1_T ? nb10 : nb11) / sizeof(float);
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try {
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// Perform matrix multiplication using oneMath GEMM
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oneapi::math::blas::column_major::gemm(get_onemath_backend(*stream), oneapi::math::transpose::nontrans, src1_op,
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ne0, ne1, ne01, alpha, src0_d, ne00, src1_d, ldb, beta, dst_d, ne0);
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}
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catch (sycl::exception const& exc) {
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std::cerr << exc.what() << std::endl;
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GGML_ASSERT(false);
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}
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}
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