/******************************************************************************* * * MIT License * * Copyright (C) 2019-2022 Advanced Micro Devices, Inc. All rights reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. * *******************************************************************************/ #pragma once #include #include #include #include #include "ProgramOptions.hpp" #include namespace Tensile { namespace Client { class ClientProblemFactory { public: ClientProblemFactory(po::variables_map const& args); ~ClientProblemFactory(); ClientProblemFactory(ContractionProblem const& problem) : m_problems({problem}) { } template ClientProblemFactory(Iterator begin, Iterator end) : m_problems(begin, end) { } std::vector const& problems() const; std::vector createProblems(); private: std::vector m_problems; ContractionProblem::FreeIndices m_freeIndices; ContractionProblem::BatchIndices m_batchIndices; ContractionProblem::BoundIndices m_boundIndices; DataType m_aType; DataType m_bType; DataType m_cType; DataType m_dType; DataType m_alphaType; DataType m_betaType; bool m_stridedBatched; bool m_highPrecisionAccumulate; bool m_deterministicMode; bool m_cEqualsD; DataType m_f32XdlMathOp; ArithmeticUnit m_arithmeticUnit; KernelLanguage m_kernelLanguage; PerformanceMetric m_performanceMetric; bool m_fp16AltImpl; bool m_fp16AltImplRound; bool m_stochasticRounding; std::vector> m_problemSizes; std::vector> m_aStrides; std::vector> m_bStrides; std::vector> m_cStrides; std::vector> m_dStrides; std::vector> m_aZeroPads; std::vector> m_bZeroPads; std::vector> m_convProblemSizes; TensorOps m_aOps; TensorOps m_bOps; TensorOps m_cOps; TensorOps m_dOps; size_t m_aOffset; size_t m_bOffset; size_t m_cOffset; size_t m_dOffset; double m_beta; double m_alpha; }; } // namespace Client } // namespace Tensile