85 lines
3.0 KiB
C++
85 lines
3.0 KiB
C++
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "paddle/cinn/operator_fusion/pattern.h"
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#include "paddle/cinn/operator_fusion/pattern_fuser.h"
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#include "paddle/cinn/operator_fusion/pattern_graph.h"
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#include "paddle/cinn/operator_fusion/pattern_node.h"
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#include "paddle/cinn/operator_fusion/policy/policy_manager.h"
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namespace cinn::fusion {
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inline std::vector<fusion::PatternNodePtr> ClusterOps(
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const std::vector<fusion::PatternContent>& contents) {
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std::function<pir::Operation*(fusion::PatternContent)> func =
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[](const fusion::PatternContent& content) { return content.op; };
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const auto& origin_ops = fusion::MapVector(contents, func);
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PADDLE_ENFORCE_GT(origin_ops.size(),
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0,
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::common::errors::InvalidArgument(
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"The size of origin_ops should be greater than 0. "));
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VLOG(4) << "Start Cluster Ops!";
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VLOG(4) << "Input Group with size " << origin_ops.size() << " :\n"
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<< fusion::OpsDebugStr(origin_ops);
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const auto& ops = [&] {
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std::vector<pir::Operation*> ops;
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for (const auto& content : contents) {
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if (content.op->name() == "cf.yield") { // just skip cf.yield.
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continue;
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}
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ops.emplace_back(content.op);
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}
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return ops;
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}();
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const auto& content_without_yield =
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FilterVector(contents, [](const fusion::PatternContent& content) {
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return content.op->name() != "cf.yield";
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});
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pir::Program* program = origin_ops.at(0)->GetParentProgram();
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auto* shape_analysis = &pir::ShapeAnalysisManager::Instance().Get(program);
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VLOG(4) << "Start Create Policies and PolicyManager!";
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const auto& relative_judge_policy =
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std::make_shared<fusion::RelativeJudgePolicy>(ops, shape_analysis);
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const auto& general_topo_policy =
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std::make_shared<fusion::GeneralTopoPolicy>();
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fusion::PolicyManager policy_manager;
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policy_manager.SetPolicy(relative_judge_policy);
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policy_manager.SetPolicy(general_topo_policy);
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VLOG(4) << "Start Create PatternGraph";
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fusion::PatternGraph graph(content_without_yield, policy_manager);
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auto result = graph.ClusterOps();
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VLOG(4) << "End Cluster Ops! result size:" << result.size();
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for (const auto& node : result) {
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VLOG(4) << "\n"
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<< node->DebugStr() << "\n"
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<< fusion::StmtPatternDebugStr(node->stmt_pattern()) << "\n";
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}
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return result;
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}
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} // namespace cinn::fusion
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