wehub-resource-sync
106 lines
2.9 KiB
C++
106 lines
2.9 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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// Copyright (c) 2023 NVIDIA 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 <mutex>
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#include <string>
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#include <unordered_set>
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#include "paddle/fluid/framework/ir/fuse_pass_base.h"
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#include "paddle/fluid/framework/ir/graph.h"
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#include "paddle/fluid/framework/ir/graph_pattern_detector.h"
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#include "paddle/fluid/framework/ir/pass.h"
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namespace paddle {
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namespace framework {
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namespace ir {
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class Graph;
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class Node;
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class ResUnitPassCache {
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public:
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ResUnitPassCache() {}
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ResUnitPassCache(const ResUnitPassCache &) = delete;
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void operator=(const ResUnitPassCache &) = delete;
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bool Exists(const std::string &key) const { return var_map_.count(key); }
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ir::Node *Get(const std::string &key) {
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if (Exists(key)) {
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return var_map_.find(key)->second;
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}
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return nullptr;
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}
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void Insert(const std::string &key, ir::Node *const value) {
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if (!Exists(key)) {
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mtx.lock();
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var_map_.insert({key, value});
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mtx.unlock();
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} else {
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PADDLE_THROW(common::errors::AlreadyExists(
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"The key (%d) of ResUnitPassCache already exist.", key));
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}
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}
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private:
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std::unordered_map<std::string, ir::Node *> var_map_;
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std::mutex mtx;
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};
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class FuseResUnitPass : public FusePassBase {
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public:
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virtual ~FuseResUnitPass() {}
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protected:
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void ApplyImpl(ir::Graph *graph) const override;
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ir::Graph *FuseConvBNAddActFwd(
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ir::Graph *graph,
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const std::unordered_set<std::string> &act_types,
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bool shortcut,
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bool is_training) const;
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ir::Graph *FuseConvBNActConvBNstats(
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ir::Graph *graph,
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const std::unordered_set<std::string> &act_types,
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bool is_training,
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int *found_pattern_count_output,
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ResUnitPassCache *cache) const;
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ir::Graph *FuseBNActConvBwd(
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ir::Graph *graph,
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const std::unordered_set<std::string> &act_grad_types,
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ResUnitPassCache *cache) const;
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ir::Graph *FuseBNAddActConvBwd(
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ir::Graph *graph,
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const std::unordered_set<std::string> &act_grad_types,
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bool shortcut,
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bool with_sum) const;
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private:
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const std::string GetCacheKey(const std::string var_name,
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int block_id) const {
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return std::to_string(block_id) + var_name;
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}
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};
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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