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260 lines
12 KiB
C++
260 lines
12 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (C) 2022-2026 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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#pragma once
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#include <Tensile/Comparison.hpp>
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#include <Tensile/ContractionProblem.hpp>
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#include <Tensile/TensorDescriptor_Detail.hpp>
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#include <tensilelitehost/export.h>
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namespace TensileLite
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{
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template <>
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struct Comparison<ContractionProblemGemm::FreeIndex>
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{
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enum
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{
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implemented = true
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};
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static int compare(ContractionProblemGemm::FreeIndex const& lhs,
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ContractionProblemGemm::FreeIndex const& rhs)
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{
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return LexicographicCompare(lhs.d, rhs.d, lhs.c, rhs.c, lhs.i, rhs.i, lhs.isA, rhs.isA);
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}
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};
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template <>
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struct Comparison<ContractionProblemGemm::BatchIndex>
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{
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enum
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{
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implemented = true
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};
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static int compare(ContractionProblemGemm::BatchIndex const& lhs,
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ContractionProblemGemm::BatchIndex const& rhs)
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{
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return LexicographicCompare(lhs.d, rhs.d, lhs.c, rhs.c, lhs.a, rhs.a, lhs.b, rhs.b);
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}
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};
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template <>
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struct Comparison<ContractionProblemGemm::BoundIndex>
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{
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enum
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{
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implemented = true
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};
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static int compare(ContractionProblemGemm::BoundIndex const& lhs,
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ContractionProblemGemm::BoundIndex const& rhs)
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{
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return LexicographicCompare(lhs.a, rhs.a, lhs.b, rhs.b);
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}
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};
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template <>
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struct Comparison<ContractionProblemGemm>
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{
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enum
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{
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implemented = true
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};
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static int compare(ContractionProblemGemm const& lhs, ContractionProblemGemm const& rhs)
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{
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return LexicographicCompare(lhs.operationIdentifier(),
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rhs.operationIdentifier(),
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lhs.highPrecisionAccumulate(),
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rhs.highPrecisionAccumulate(),
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lhs.kernelLanguage(),
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rhs.kernelLanguage(),
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lhs.deterministicMode(),
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rhs.deterministicMode(),
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lhs.a(),
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rhs.a(),
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lhs.b(),
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rhs.b(),
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lhs.c(),
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rhs.c(),
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lhs.d(),
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rhs.d(),
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lhs.e(),
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rhs.e(),
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lhs.computeInputTypeA(),
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rhs.computeInputTypeA(),
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lhs.computeInputTypeB(),
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rhs.computeInputTypeB(),
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lhs.workspaceSize(),
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rhs.workspaceSize(),
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lhs.stridedBatched(),
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rhs.stridedBatched(),
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lhs.groupedGemm(),
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rhs.groupedGemm(),
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lhs.performanceMetric(),
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rhs.performanceMetric(),
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lhs.activationType(),
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rhs.activationType(),
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lhs.activationComputeType(),
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rhs.activationComputeType(),
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lhs.activationNoGuard(),
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rhs.activationNoGuard(),
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lhs.useGradient(),
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rhs.useGradient(),
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lhs.useBias(),
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rhs.useBias(),
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lhs.biasSrc(),
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rhs.biasSrc(),
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lhs.useE(),
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rhs.useE(),
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lhs.useGateResidual(),
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rhs.useGateResidual(),
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lhs.useScaleAB(),
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rhs.useScaleAB(),
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lhs.useScaleCD(),
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rhs.useScaleCD(),
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lhs.useScaleAlphaVec(),
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rhs.useScaleAlphaVec(),
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lhs.outputAmaxD(),
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rhs.outputAmaxD(),
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lhs.f32XdlMathOp(),
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rhs.f32XdlMathOp(),
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lhs.swizzleTensorA(),
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rhs.swizzleTensorA(),
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lhs.swizzleTensorB(),
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rhs.swizzleTensorB(),
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lhs.mxBlockA(),
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rhs.mxBlockA(),
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lhs.mxBlockB(),
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rhs.mxBlockB(),
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lhs.mxTypeA(),
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rhs.mxTypeA(),
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lhs.mxTypeB(),
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rhs.mxTypeB());
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}
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};
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} // namespace TensileLite
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namespace std
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{
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template <>
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struct hash<TensileLite::ContractionProblemGemm>
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{
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inline size_t operator()(TensileLite::ContractionProblemGemm const& problem) const
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{
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return TensileLite::hash_combine(problem.operationIdentifier(),
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problem.a(),
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problem.b(),
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problem.c(),
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problem.d(),
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problem.e(),
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problem.computeInputTypeA(),
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problem.computeInputTypeB(),
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problem.highPrecisionAccumulate(),
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problem.kernelLanguage(),
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problem.deterministicMode(),
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problem.workspaceSize(),
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problem.stridedBatched(),
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problem.groupedGemm(),
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problem.performanceMetric(),
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problem.activationType(),
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problem.activationComputeType(),
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problem.activationNoGuard(),
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problem.useGradient(),
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problem.useBias(),
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problem.biasSrc(),
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problem.useE(),
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problem.useGateResidual(),
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problem.useScaleAB(),
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problem.useScaleCD(),
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problem.useScaleAlphaVec(),
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problem.outputAmaxD(),
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problem.f32XdlMathOp(),
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problem.swizzleTensorA(),
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problem.swizzleTensorB(),
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problem.mxBlockA(),
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problem.mxBlockB(),
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problem.mxTypeA(),
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problem.mxTypeB());
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}
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};
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template <>
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struct hash<std::vector<TensileLite::ContractionProblemGemm>>
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{
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inline size_t
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operator()(std::vector<TensileLite::ContractionProblemGemm> const& problems) const
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{
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size_t hash = 0;
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for(int idx = 0; idx < problems.size(); idx++)
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{
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auto problem = problems[idx];
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hash += TensileLite::hash_combine(problem.operationIdentifier(),
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problem.a(),
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problem.b(),
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problem.c(),
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problem.d(),
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problem.e(),
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problem.computeInputTypeA(),
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problem.computeInputTypeB(),
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problem.highPrecisionAccumulate(),
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problem.kernelLanguage(),
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problem.deterministicMode(),
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problem.workspaceSize(),
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problem.stridedBatched(),
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problem.groupedGemm(),
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problem.performanceMetric(),
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problem.activationType(),
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problem.activationComputeType(),
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problem.activationNoGuard(),
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problem.useGradient(),
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problem.useBias(),
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problem.biasSrc(),
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problem.useE(),
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problem.useGateResidual(),
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problem.useScaleAB(),
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problem.useScaleCD(),
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problem.useScaleAlphaVec(),
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problem.outputAmaxD(),
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problem.f32XdlMathOp(),
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problem.swizzleTensorA(),
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problem.swizzleTensorB(),
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problem.mxBlockA(),
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problem.mxBlockB(),
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problem.mxTypeA(),
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problem.mxTypeB());
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}
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return hash;
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}
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};
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} // namespace std
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