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717f2efef7
[CK] add composable kernel support on gfx1250 (#6978) ## Motivation Add composable kernel support on gfx1250. ## Technical Details <!-- Explain the changes along with any relevant GitHub links. --> ## Test Plan <!-- Explain any relevant testing done to verify this PR. --> ## Test Result <!-- Briefly summarize test outcomes. --> ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. --------- Co-authored-by: Qun Lin <qlin@amd.com> Co-authored-by: jialuo12_amdeng <jia.luo@amd.com> Co-authored-by: Andriy Roshchenko <andriy.roshchenko@amd.com> Co-authored-by: hsivasun_amdeng <haresh.sivasuntharampillai@amd.com>
85 lines
3.9 KiB
C++
85 lines
3.9 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 "profiler/profile_gemm_bilinear_impl.hpp"
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#include "test_gemm_common.hpp"
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template <typename Tuple>
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class TestGemmBilinear : public ::testing::Test
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{
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private:
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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 D0DataType = std::tuple_element_t<3, Tuple>;
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using EDataType = std::tuple_element_t<4, Tuple>;
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using ALayout = std::tuple_element_t<5, Tuple>;
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using BLayout = std::tuple_element_t<6, Tuple>;
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using D0Layout = std::tuple_element_t<7, Tuple>;
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using ELayout = std::tuple_element_t<8, Tuple>;
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constexpr static auto ProfileGemmBilinearImpl =
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ck::profiler::profile_gemm_bilinear_impl<ADataType,
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BDataType,
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AccDataType,
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D0DataType,
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EDataType,
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ALayout,
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BLayout,
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D0Layout,
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ELayout>;
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public:
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void Run(TestMatrixSizes const& lengths)
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{
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bool all_success = true;
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for(size_t i = 0; i < lengths.size(); i++)
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{
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if((param_mask & (1 << i)) == 0)
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{
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continue;
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}
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auto& length = lengths[i];
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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 StrideD0 = ck::is_same_v<D0Layout, Row> ? N : M;
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int StrideE = ck::is_same_v<ELayout, Row> ? N : M;
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all_success = all_success & ProfileGemmBilinearImpl(1,
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1,
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false,
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false,
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M,
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N,
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K,
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StrideA,
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StrideB,
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StrideD0,
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StrideE,
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1.F,
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1.F,
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instance_index);
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}
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EXPECT_TRUE(all_success);
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}
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};
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using KernelTypes = ::testing::Types<std::tuple<F16, F16, F32, F16, F16, Row, Row, Row, Row>,
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std::tuple<F16, F16, F32, F16, F16, Row, Col, Row, Row>,
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std::tuple<F16, F16, F32, F16, F16, Col, Row, Row, Row>,
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std::tuple<F16, F16, F32, F16, F16, Col, Col, Row, Row>,
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std::tuple<I8, I8, I32, I8, I8, Row, Row, Row, Row>,
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std::tuple<I8, I8, I32, I8, I8, Row, Col, Row, Row>,
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std::tuple<I8, I8, I32, I8, I8, Col, Row, Row, Row>,
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std::tuple<I8, I8, I32, I8, I8, Col, Col, Row, Row>>;
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TYPED_TEST_SUITE(TestGemmBilinear, KernelTypes);
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TYPED_TEST(TestGemmBilinear, Test) { this->Run(DefaultTestMatrixSizes); }
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