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67 lines
1.7 KiB
C++
67 lines
1.7 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#include <tuple>
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#include "gtest/gtest.h"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "test_gemm_splitk_util.hpp"
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using F16 = ck::half_t;
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using F32 = float;
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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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namespace {
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template <typename X, typename Y>
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struct tuple_concat;
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template <typename... Xs, typename... Ys>
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struct tuple_concat<std::tuple<Xs...>, std::tuple<Ys...>>
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{
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using type = std::tuple<Xs..., Ys...>;
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};
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} // namespace
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template <typename Tuple>
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class TestGemmSplitK_MK_KN
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: public ck::test::TestGemmSplitK<typename tuple_concat<std::tuple<Row, Row>, Tuple>::type>
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{
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};
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template <typename Tuple>
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class TestGemmSplitK_MK_NK
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: public ck::test::TestGemmSplitK<typename tuple_concat<std::tuple<Row, Col>, Tuple>::type>
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{
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};
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template <typename Tuple>
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class TestGemmSplitK_KM_KN
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: public ck::test::TestGemmSplitK<typename tuple_concat<std::tuple<Col, Row>, Tuple>::type>
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{
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};
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template <typename Tuple>
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class TestGemmSplitK_KM_NK
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: public ck::test::TestGemmSplitK<typename tuple_concat<std::tuple<Col, Col>, Tuple>::type>
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{
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};
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// clang-format off
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using KernelTypes = ::testing::Types<
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// ADataType, BDataType, CDataType
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std::tuple< F16, F16, F16>,
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std::tuple< F32, F32, F32>
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>;
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// clang-format on
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TYPED_TEST_SUITE(TestGemmSplitK_MK_KN, KernelTypes);
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TYPED_TEST_SUITE(TestGemmSplitK_MK_NK, KernelTypes);
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TYPED_TEST_SUITE(TestGemmSplitK_KM_KN, KernelTypes);
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TYPED_TEST_SUITE(TestGemmSplitK_KM_NK, KernelTypes);
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#include "test_gemm_splitk_ut_cases.inc"
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