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https://github.com/ROCm/composable_kernel.git
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68 lines
2.6 KiB
C++
68 lines
2.6 KiB
C++
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include <algorithm>
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#include <cstdlib>
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#include <iostream>
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#include <numeric>
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#include <tuple>
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#include <vector>
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#include "ck/ck.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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#include "test/wmma_op/wmma_op_util.hpp"
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template <typename SrcType,
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typename DstType,
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typename GPUAccType,
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typename CPUAccType,
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ck::index_t AccNum>
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bool run_test()
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{
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using Row = ck::tensor_layout::gemm::RowMajor;
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using Col = ck::tensor_layout::gemm::ColumnMajor;
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using PassThrough = ck::tensor_operation::element_wise::PassThrough;
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bool pass = true;
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const auto matmul_default = ck::wmma_op_util::matmul<SrcType, DstType, GPUAccType, AccNum>;
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const auto matmul_swizzle_a =
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ck::wmma_op_util::matmul_swizzle_a<SrcType, DstType, GPUAccType, AccNum>;
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const auto wmma_kernel_container = std::make_tuple(matmul_default, matmul_swizzle_a);
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ck::static_for<0, 2, 1>{}([&](auto i) {
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pass &=
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ck::wmma_op_util::TestWmma<decltype(std::get<ck::Number<i>{}>(wmma_kernel_container)),
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SrcType,
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SrcType,
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DstType,
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GPUAccType,
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CPUAccType,
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decltype(Row{}),
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decltype(Col{}),
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decltype(Row{}),
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PassThrough,
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PassThrough,
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PassThrough,
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AccNum>{}(std::get<ck::Number<i>{}>(wmma_kernel_container));
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});
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return pass ? 1 : 0;
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}
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int main(int, char*[])
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{
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bool pass = true;
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// clang-format off
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// |SrcType |DstType |GPUAccType |CPUAccType |AccNum
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pass &= run_test<ck::half_t, ck::half_t, float, float, 8 >();
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pass &= run_test<ck::bhalf_t, ck::bhalf_t, float, float, 8 >();
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pass &= run_test<ck::half_t, ck::half_t, ck::half_t, ck::half_t, 16 >();
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pass &= run_test<ck::bhalf_t, ck::bhalf_t, ck::bhalf_t, float, 16 >();
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pass &= run_test<int8_t, int8_t, int32_t, int32_t, 8 >();
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// clang-format on
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std::cout << "TestGemm ..... " << (pass ? "SUCCESS" : "FAILURE") << std::endl;
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return pass ? 0 : 1;
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}
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