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200 lines
6.7 KiB
C++
200 lines
6.7 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (C) 2019-2022 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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*******************************************************************************/
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#include <gtest/gtest.h>
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#include <Tensile/AMDGPU.hpp>
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#include <Tensile/ContractionLibrary.hpp>
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#include <Tensile/ContractionProblem.hpp>
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#include <Tensile/ContractionSolution.hpp>
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#include <cstddef>
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using namespace Tensile;
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std::map<int, double> makeIdeals()
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{
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std::map<int, double> ideals;
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ideals.insert(std::make_pair(32, 2000.0));
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ideals.insert(std::make_pair(64, 3000.0));
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ideals.insert(std::make_pair(128, 4000.0));
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ideals.insert(std::make_pair(256, 5000.0));
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ideals.insert(std::make_pair(512, 6000.0));
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ideals.insert(std::make_pair(1024, 7000.0));
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ideals.insert(std::make_pair(2048, 8000.0));
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ideals.insert(std::make_pair(4096, 9000.0));
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ideals.insert(std::make_pair(8192, 10000.0));
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ideals.insert(std::make_pair(16192, 11000.0));
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return ideals;
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}
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SizeMapping makeSizeMapping(Tensile::dim3 workGroupSize,
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Tensile::dim3 threadTile,
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Tensile::dim3 macroTile,
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size_t globalSplitU)
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{
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SizeMapping sizeMapping;
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sizeMapping.workGroupSize = workGroupSize;
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sizeMapping.threadTile = threadTile;
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sizeMapping.macroTile = macroTile;
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sizeMapping.staggerU = 32;
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sizeMapping.depthU = 32;
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sizeMapping.globalSplitU = globalSplitU;
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sizeMapping.staggerStrideShift = 4;
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sizeMapping.workGroupMapping = 8;
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sizeMapping.persistentKernel = 0;
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sizeMapping.persistentKernelAlongBatch = false;
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sizeMapping.globalAccumulation = 0;
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sizeMapping.workspaceSizePerElemC = 0;
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return sizeMapping;
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}
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TEST(ContractionPerformance, Problem1)
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{
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auto solution = std::make_shared<ContractionSolution>();
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ASSERT_NE(solution, nullptr);
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std::map<int, double> ideals = makeIdeals();
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solution->ideals = ideals;
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Tensile::dim3 workgroupSize = Tensile::dim3(16, 16, 1);
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Tensile::dim3 threadTile = Tensile::dim3(4, 4, 0);
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Tensile::dim3 macroTile = Tensile::dim3(64, 64, 16);
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size_t globalSplitU = 1;
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SizeMapping sizeMapping = makeSizeMapping(workgroupSize, threadTile, macroTile, globalSplitU);
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solution->sizeMapping = sizeMapping;
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auto problem
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= ContractionProblem::GEMM(false, false, 1536, 1536, 64, 1536, 64, 1536, 1.5, false, 1.0);
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AMDGPU hardware(Tensile::AMDGPU::Processor::gfx906, 64, 0, "gfx906");
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double perf = solution->projectedPerformance(problem, hardware).speedGFlops;
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ASSERT_DOUBLE_EQ(perf, 3000.0);
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}
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TEST(ContractionPerformance, Problem2)
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{
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auto solution = std::make_shared<ContractionSolution>();
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ASSERT_NE(solution, nullptr);
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std::map<int, double> ideals = makeIdeals();
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solution->ideals = ideals;
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Tensile::dim3 workgroupSize = Tensile::dim3(16, 16, 1);
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Tensile::dim3 threadTile = Tensile::dim3(4, 4, 0);
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Tensile::dim3 macroTile = Tensile::dim3(64, 64, 16);
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size_t globalSplitU = 1;
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SizeMapping sizeMapping = makeSizeMapping(workgroupSize, threadTile, macroTile, globalSplitU);
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solution->sizeMapping = sizeMapping;
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auto problem
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= ContractionProblem::GEMM(false, false, 384, 192, 60, 384, 60, 384, 1.5, false, 1.0);
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AMDGPU hardware(Tensile::AMDGPU::Processor::gfx906, 64, 0, "gfx906");
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double perf = solution->projectedPerformance(problem, hardware).speedGFlops;
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ASSERT_DOUBLE_EQ(perf, 843.75);
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}
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TEST(ContractionPerformance, Problem3)
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{
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auto solution = std::make_shared<ContractionSolution>();
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ASSERT_NE(solution, nullptr);
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std::map<int, double> ideals = makeIdeals();
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solution->ideals = ideals;
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Tensile::dim3 workgroupSize = Tensile::dim3(16, 16, 2);
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Tensile::dim3 threadTile = Tensile::dim3(8, 8, 0);
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Tensile::dim3 macroTile = Tensile::dim3(128, 128, 16);
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size_t globalSplitU = 1;
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SizeMapping sizeMapping = makeSizeMapping(workgroupSize, threadTile, macroTile, globalSplitU);
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solution->sizeMapping = sizeMapping;
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auto problem
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= ContractionProblem::GEMM(false, false, 384, 192, 60, 384, 60, 384, 1.5, false, 1.0);
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AMDGPU hardware(Tensile::AMDGPU::Processor::gfx906, 64, 0, "gfx906");
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auto model = solution->projectedPerformance(problem, hardware);
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// std::cout << model << "\n";
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ASSERT_DOUBLE_EQ(model.granularities.tilesPerCu, .1875);
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ASSERT_DOUBLE_EQ(model.granularities.totalGranularity, .140625);
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ASSERT_DOUBLE_EQ(model.speedGFlops, 421.875);
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}
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TEST(ContractionPerformance, Problem4)
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{
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auto solution = std::make_shared<ContractionSolution>();
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ASSERT_NE(solution, nullptr);
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std::map<int, double> ideals = makeIdeals();
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solution->ideals = ideals;
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Tensile::dim3 workgroupSize = Tensile::dim3(16, 16, 4);
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Tensile::dim3 threadTile = Tensile::dim3(8, 4, 0);
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Tensile::dim3 macroTile = Tensile::dim3(128, 64, 16);
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size_t globalSplitU = 4;
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SizeMapping sizeMapping = makeSizeMapping(workgroupSize, threadTile, macroTile, globalSplitU);
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solution->sizeMapping = sizeMapping;
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auto problem
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= ContractionProblem::GEMM(false, false, 1536, 1575, 64, 1536, 64, 1536, 1.5, false, 3.0);
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AMDGPU hardware(Tensile::AMDGPU::Processor::gfx906, 64, 0, "gfx906");
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auto model = solution->projectedPerformance(problem, hardware);
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// std::cout << model << "\n";
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ASSERT_DOUBLE_EQ(model.granularities.tilesPerCu, 225);
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ASSERT_NEAR(model.granularities.totalGranularity, .984375, .001);
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ASSERT_DOUBLE_EQ(model.speedGFlops, 2953.125);
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}
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