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289 lines
11 KiB
C++
289 lines
11 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (C) 2022-2023 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 <set>
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#include <vector>
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#include <Tensile/Debug.hpp>
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#include <Tensile/PredicateDebugger.hpp>
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#include <Tensile/Properties.hpp>
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#include <Tensile/Utils.hpp>
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#include <Tensile/PropertyMatching.hpp>
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#include <tensilelitehost/export.h>
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namespace TensileLite
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{
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/**
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* \ingroup SolutionLibrary
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*/
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struct ExactSelectionTableEntry
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{
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std::vector<size_t> key;
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int value;
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};
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/**
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* \ingroup SolutionLibrary
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*
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* Compares the tile sizes of each kernel, the dimensions of the problem,
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* and the number of compute units on the target GPU to select a kernel
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* that fits the best on the GPU with the lowest amount of waste
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* ("granularity loss").
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*/
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template <typename MyProblem, typename MySolution = typename MyProblem::Solution>
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struct GranularitySelectionLibrary : public SolutionLibrary<MyProblem, MySolution>
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{
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std::map<int, std::shared_ptr<MySolution>> solutions;
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std::map<std::vector<size_t>, int> exactMap;
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static std::string Type()
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{
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return "GranularitySelection";
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}
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virtual std::string type() const override
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{
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return Type();
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}
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virtual std::string description() const override
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{
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std::string rv = this->type();
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return rv;
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}
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virtual std::shared_ptr<MySolution> getSolutionByIndex(MyProblem const& problem,
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Hardware const& hardware,
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const int index) const override
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{
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if(index >= solutions.size())
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{
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return std::shared_ptr<MySolution>();
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}
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return solutions.at(index);
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}
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virtual std::shared_ptr<MySolution> findBestSolution(MyProblem const& problem,
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Hardware const& hardware,
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double* fitness
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= nullptr) const override
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{
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const bool debug = Debug::Instance().printPropertyEvaluation();
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std::vector<size_t> key;
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size_t M = problem.freeSizeA(0);
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key.push_back(M);
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size_t N = problem.freeSizeB(0);
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key.push_back(N);
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size_t NumBatches = problem.batchSize(0);
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key.push_back(NumBatches);
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size_t K = problem.boundSize(0);
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key.push_back(K);
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auto exactMatch = exactMap.find(key);
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if(exactMatch != this->exactMap.end())
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{
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int index = exactMatch->second;
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auto rv = solutions.at(index);
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Task task(hardware, problem, *rv);
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bool predicateMatch = (*rv->problemPredicate)(problem)
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&& (*rv->taskPredicate)(task)
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&& (*rv->hardwarePredicate)(hardware);
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if(debug)
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{
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PredicateDebugger::printHeader(
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std::cout, "Granularity (Exact): " + rv->name());
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rv->hardwarePredicate->debugEval(hardware, std::cout);
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rv->problemPredicate->debugEval(problem, std::cout);
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rv->taskPredicate->debugEval(task, std::cout);
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PredicateDebugger::printFooter(std::cout, predicateMatch);
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}
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if(predicateMatch)
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{
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return rv;
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}
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}
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double bestPerformance = 0.0;
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std::shared_ptr<MySolution> bestSolution;
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for(auto const& row : solutions)
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{
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auto myPerformance
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= row.second->projectedPerformance(problem, hardware).speedGFlops;
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if(debug)
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{
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std::cout << row.second->description() << ": " << myPerformance;
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}
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if(myPerformance > bestPerformance)
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{
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Task task(hardware, problem, *(row.second));
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bool predicateMatch = (*row.second->problemPredicate)(problem)
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&& (*row.second->taskPredicate)(task)
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&& (*row.second->hardwarePredicate)(hardware);
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if(debug)
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{
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PredicateDebugger::printHeader(
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std::cout, "Granularity: " + row.second->name());
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row.second->hardwarePredicate->debugEval(hardware, std::cout);
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row.second->problemPredicate->debugEval(problem, std::cout);
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row.second->taskPredicate->debugEval(task, std::cout);
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PredicateDebugger::printFooter(std::cout, predicateMatch);
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}
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if(predicateMatch)
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{
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bestPerformance = myPerformance;
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bestSolution = row.second;
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}
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}
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}
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return bestSolution;
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}
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virtual SolutionSet<MySolution>
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findAllSolutions(MyProblem const& problem,
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Hardware const& hardware,
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SolutionLibrarySearchType searchType
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= SolutionLibrarySearchType::DEFAULT) const override
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{
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bool debug = Debug::Instance().printPropertyEvaluation();
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SolutionSet<MySolution> rv;
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for(auto const& row : solutions)
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{
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Task task(hardware, problem, *(row.second));
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bool predicateMatch = softwarePredicate(searchType, task, hardware, *(row.second), problem)
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&& (*row.second->hardwarePredicate)(hardware);
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if(debug)
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{
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PredicateDebugger::printHeader(std::cout, "Granularity: " + row.second->name());
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row.second->hardwarePredicate->debugEval(hardware, std::cout);
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if(searchType == SolutionLibrarySearchType::DEFAULT)
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{
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row.second->problemPredicate->debugEval(problem, std::cout);
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row.second->taskPredicate->debugEval(task, std::cout);
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}
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PredicateDebugger::printFooter(std::cout, predicateMatch);
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}
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if(predicateMatch)
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{
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rv.insert(row.second);
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}
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}
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return rv;
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}
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virtual SolutionSet<MySolution>
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findAllSolutionsGroupedGemm(std::vector<MyProblem> const& problems,
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Hardware const& hardware,
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SolutionLibrarySearchType searchType
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= SolutionLibrarySearchType::DEFAULT) const override
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{
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bool debug = Debug::Instance().printPropertyEvaluation();
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SolutionSet<MySolution> rv;
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for(auto const& row : solutions)
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{
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bool useSolution = false;
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if((*row.second->hardwarePredicate)(hardware))
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{
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useSolution = true;
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if(searchType == SolutionLibrarySearchType::DEFAULT)
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{
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size_t ws = (*row.second).requiredWorkspaceSizeGroupedGemm(problems, hardware);
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for(size_t idx = 0; idx < problems.size(); idx++)
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{
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auto problem = problems[idx];
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Task task(hardware, problem, *(row.second));
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problem.setWorkspaceSizeGroupedGemm(ws);
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problem.setGroupedGemmCount(problems.size());
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if(!(*row.second->problemPredicate)(problem)
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|| !(*row.second->taskPredicate)(task))
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useSolution = false;
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}
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}
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else if(searchType == SolutionLibrarySearchType::GEMM_TYPE_ONLY)
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{
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if(!isGemmTypeSame((*row.second), problems[0]))
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useSolution = false;
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}
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if(useSolution)
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{
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if((*row.second).requiredHostWorkspaceSizePerProblem
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== static_cast<size_t>(-1))
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{
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(*row.second).requiredHostWorkspaceSizePerProblem
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= (*row.second)
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.requiredHostSizeGroupedGemmSingle(problems[0], hardware);
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}
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rv.insert(row.second);
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}
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}
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if(debug)
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{
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PredicateDebugger::printHeader(
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std::cout, "Granularity (Grouped): " + row.second->name());
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row.second->hardwarePredicate->debugEval(hardware, std::cout);
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if(searchType == SolutionLibrarySearchType::DEFAULT)
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{
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for(size_t idx = 0; idx < problems.size(); idx++)
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{
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auto problem = problems[idx];
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Task task(hardware, problem, *(row.second));
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row.second->problemPredicate->debugEval(problem, std::cout);
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row.second->taskPredicate->debugEval(task, std::cout);
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}
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}
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PredicateDebugger::printFooter(std::cout, useSolution);
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}
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}
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return rv;
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}
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};
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} // namespace TensileLite
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