2e82ffa4af
* Fixes broken build for the SYCL CUDA backend caused by non-explicit gemm call in outprod (merged in with RWKV6 in Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration #10133) * Marks permuted MUL_MAT as unsupported to be able to run test-backend-ops * Fixes asserts in norm to fix debug builds.
56 lines
1.7 KiB
C++
56 lines
1.7 KiB
C++
#include <sycl/sycl.hpp>
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#include <oneapi/mkl.hpp>
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#include "outprod.hpp"
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void ggml_sycl_op_out_prod(ggml_backend_sycl_context& ctx, const ggml_tensor* src0,
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const ggml_tensor* src1, ggml_tensor* dst) {
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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::mkl::transpose src1_op =
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src1_T ? oneapi::mkl::transpose::nontrans : oneapi::mkl::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 oneMKL GEMM
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oneapi::mkl::blas::column_major::gemm(*stream,
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oneapi::mkl::transpose::nontrans, src1_op,
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ne0, ne1, ne01,
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alpha,
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src0_d, ne00,
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src1_d, ldb,
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beta,
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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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