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63 lines
2.0 KiB
C++
63 lines
2.0 KiB
C++
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include "gtest/gtest.h"
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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/utility/data_type.hpp"
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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 I8 = int8_t;
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using I32 = int32_t;
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namespace ck {
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namespace test {
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using TestMatrixSizes = std::vector<std::vector<ck::index_t>>;
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static const TestMatrixSizes DefaultTestMatrixSizes = {
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{16, 32, 64}, {512, 2048, 4096}, {2048, 1024, 16}};
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template <typename Tuple>
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class TestGemmQuantizationCommon : public ::testing::Test
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{
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protected:
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using ADataType = std::tuple_element_t<0, Tuple>;
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using BDataType = std::tuple_element_t<1, Tuple>;
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using AccDataType = std::tuple_element_t<2, Tuple>;
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using EDataType = std::tuple_element_t<3, Tuple>;
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using ALayout = std::tuple_element_t<4, Tuple>;
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using BLayout = std::tuple_element_t<5, Tuple>;
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using ELayout = std::tuple_element_t<6, Tuple>;
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using ProfileCall = bool (*const)(int, int, bool, bool, int, int, int, int, int, int, float);
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virtual ProfileCall GetImpl() = 0;
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void Run(const TestMatrixSizes& lengths = DefaultTestMatrixSizes)
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{
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bool all_success = true;
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for(auto length : lengths)
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{
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int M = length[0];
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int N = length[1];
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int K = length[2];
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int StrideA = ck::is_same_v<ALayout, Row> ? K : M;
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int StrideB = ck::is_same_v<BLayout, Row> ? N : K;
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int StrideE = ck::is_same_v<ELayout, Row> ? N : M;
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float requant_scale = 0.03f;
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all_success =
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all_success &
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GetImpl()(1, 1, false, true, M, N, K, StrideA, StrideB, StrideE, requant_scale);
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}
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EXPECT_TRUE(all_success);
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}
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};
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} // namespace test
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} // namespace ck
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