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251 lines
10 KiB
C++
251 lines
10 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (C) 2025 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 <atomic>
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#include <iostream>
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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/UtilsOrigami.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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* Uses a distance function to select solutions based on benchmarks.
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* Benchmarks are performed to determine the optimal solution at a number of
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* specific sizes. At runtime, we find the benchmarked size that is closest
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* to the size asked for.
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*/
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template <typename MyProblem, typename MySolution = typename MyProblem::Solution>
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struct ProblemPredictionLibrary : public SolutionLibrary<MyProblem, MySolution>
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{
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std::vector<std::pair<int, std::shared_ptr<MySolution>>> solution_list;
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std::vector<origami::config_t> origami_config_list;
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mutable std::atomic<bool> lastFindTopRetAll = false;
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static std::string Type()
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{
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return "Prediction";
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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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if(solution_list.empty())
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return concatenate(type(), ", solution_list: empty");
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return concatenate(type(), solution_list.size());
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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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auto indexMatch =
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std::find_if(solution_list.begin(), solution_list.end(),
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[&index](auto& s){ return s.first == index; });
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if(indexMatch != solution_list.end())
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return indexMatch->second;
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return nullptr;
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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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auto topSolutions = findTopSolutions(problem, hardware, 1);
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std::shared_ptr<MySolution> solution;
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if(!topSolutions.empty())
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{
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solution = topSolutions[0];
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}
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return solution;
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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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if(searchType == SolutionLibrarySearchType::DEFAULT)
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return rv;
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for(auto const& row : this->solution_list)
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{
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if(debug)
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std::cout << row.second->description() << std::endl;
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rv.insert(row.second);
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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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if(searchType == SolutionLibrarySearchType::DEFAULT)
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return rv;
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for(auto const& row : this->solution_list)
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{
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if(debug)
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std::cout << row.second->description() << std::endl;
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rv.insert(row.second);
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}
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return rv;
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}
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virtual SolutionVector<MySolution> findTopSolutions(MyProblem const& problem,
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Hardware const& hardware,
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int numSolutions) const override
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{
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SolutionVector<MySolution> rv;
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size_t m = 1;
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size_t n = 1;
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size_t k = 1;
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size_t batch = 1;
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for(size_t i = 0; i < problem.freeIndicesA().size(); i++)
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{
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m *= problem.freeSizeA(i);
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}
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for(size_t i = 0; i < problem.freeIndicesB().size(); i++)
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{
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n *= problem.freeSizeB(i);
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}
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for(size_t i = 0; i < problem.boundIndices().size(); ++i)
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{
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k *= problem.boundSize(i);
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}
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for(size_t i = 0; i < problem.batchIndices().size(); ++i)
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{
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batch *= problem.batchSize(i);
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}
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hip::HipAMDGPU const* pAMDGPU = dynamic_cast<hip::HipAMDGPU const*>(&hardware);
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const bool debug = Debug::Instance().printPropertyEvaluation();
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auto considerSolution = [&](std::shared_ptr<MySolution> const& solution) {
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const bool hwMatch = (*(solution->hardwarePredicate))(hardware);
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const bool probMatch = (*(solution->problemPredicate))(problem);
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const bool predicateMatch = hwMatch && probMatch;
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if(debug)
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{
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PredicateDebugger::printHeader(
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std::cout, "Prediction: " + solution->name());
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solution->hardwarePredicate->debugEval(hardware, std::cout);
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solution->problemPredicate->debugEval(problem, 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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rv.emplace_back(solution);
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}
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};
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if(pAMDGPU && pAMDGPU->analyticalHardware)
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{
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auto miDataType = datatypeToAnalyticalDatatype(problem.computeInputTypeA());
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if(problem.f32XdlMathOp() == rocisa::DataType::XFloat32) // Check F32 compute type
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miDataType = origami::data_type_t::XFloat32;
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origami::problem_t origami_problem = {
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.size = {m, n, k},
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.batch = batch,
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// CU budget hint; 0 = use all CUs.
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.num_cus = static_cast<size_t>(problem.getParams().smCountTarget()),
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.a_transpose = problem.transA() ? origami::transpose_t::T : origami::transpose_t::N,
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.b_transpose = problem.transB() ? origami::transpose_t::T : origami::transpose_t::N,
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.a_dtype = datatypeToAnalyticalDatatype(problem.a().dataType()),
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.b_dtype = datatypeToAnalyticalDatatype(problem.b().dataType()),
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.c_dtype = datatypeToAnalyticalDatatype(problem.c().dataType()),
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.d_dtype = datatypeToAnalyticalDatatype(problem.d().dataType()),
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.mi_dtype = miDataType,
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.a_mx_block_size = 0, // MX Data types come from rocroller
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.b_mx_block_size = 0, // MX Data types come from rocroller
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};
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auto prediction_result = origami::rank_configs(
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origami_problem, *(pAMDGPU->analyticalHardware), origami_config_list);
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for(const auto& r : prediction_result)
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{
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if(r.config.index >= solution_list.size())
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{
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continue;
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}
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considerSolution(solution_list[r.config.index].second);
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if(rv.size() == numSolutions)
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{
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break;
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}
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}
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}
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// can't reach the requested number, means findTop already done its best
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lastFindTopRetAll = (rv.size() < numSolutions);
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return rv;
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}
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virtual bool lastFindTopAlreadyRetAll() const override
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{
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return lastFindTopRetAll;
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}
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virtual SolutionVector<MySolution>
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findTopSolutionsGroupedGemm(std::vector<MyProblem> const& problems,
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Hardware const& hardware,
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int numSolutions) const override
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{
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SolutionVector<MySolution> solutions;
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return solutions;
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}
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};
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} // namespace TensileLite
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