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https://github.com/ROCm/composable_kernel.git
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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>
109 lines
4.5 KiB
C++
109 lines
4.5 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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static ck::index_t param_mask = 0xffff;
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static ck::index_t instance_index = -1;
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namespace ck {
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namespace test {
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using Row = ck::tensor_layout::gemm::RowMajor;
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using F32 = float;
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template <typename Tuple>
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class TestGemmCommon : public ::testing::Test
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{
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protected:
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using AsLayout = std::tuple_element_t<0, Tuple>;
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using BsLayout = std::tuple_element_t<1, Tuple>;
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using DsLayout = std::tuple_element_t<2, Tuple>;
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using ELayout = Row;
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using AsDataType = std::tuple_element_t<3, Tuple>;
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using BsDataType = std::tuple_element_t<4, Tuple>;
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using DsDataType = std::tuple_element_t<5, Tuple>;
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using EDataType = std::tuple_element_t<6, Tuple>;
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using AElementOp = std::tuple_element_t<7, Tuple>;
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using BElementOp = std::tuple_element_t<8, Tuple>;
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using CDEElementOp = std::tuple_element_t<9, Tuple>;
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void Run()
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{
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std::vector<std::vector<ck::index_t>> lengths = {
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{16, 32, 64}, {512, 1024, 2048}, {1024, 512, 32}};
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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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// Assuming same layout for all A matrices (same applies for Bs and Ds)
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int StrideA = ck::is_same_v<remove_cvref_t<tuple_element_t<0, AsLayout>>, Row> ? K : M;
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int StrideB = ck::is_same_v<remove_cvref_t<tuple_element_t<0, BsLayout>>, Row> ? N : K;
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// In case no D matrices are provided, set stride to 0
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int StrideD = 0;
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if constexpr(DsDataType::Size() > 0)
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{
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StrideD = ck::is_same_v<remove_cvref_t<tuple_element_t<0, DsLayout>>, Row> ? N : M;
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}
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int StrideE = ck::is_same_v<ELayout, Row> ? N : M;
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all_success = all_success &
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ck::profiler::profile_gemm_multi_abd_impl<AsDataType,
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BsDataType,
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F32,
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DsDataType,
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EDataType,
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AsLayout,
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BsLayout,
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DsLayout,
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ELayout,
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AElementOp,
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BElementOp,
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CDEElementOp>(1,
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2,
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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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StrideD,
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StrideE,
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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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} // namespace test
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} // namespace ck
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int main(int argc, char** argv)
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{
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testing::InitGoogleTest(&argc, argv);
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if(argc == 1) {}
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else if(argc == 3)
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{
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param_mask = strtol(argv[1], nullptr, 0);
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instance_index = atoi(argv[2]);
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}
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else
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{
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std::cout << "Usage of " << argv[0] << std::endl;
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std::cout << "Arg1,2: param_mask instance_index(-1 means all)" << std::endl;
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}
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return RUN_ALL_TESTS();
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}
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