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94 lines
2.5 KiB
94 lines
2.5 KiB
// Copyright (c) 2018 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 <deque>
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#include <memory>
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#include <string>
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#include <unordered_set>
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#include <vector>
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#include "paddle/fluid/framework/details/op_handle_base.h"
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#include "paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h"
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namespace paddle {
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namespace platform {
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class CUDADeviceContext;
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} // namespace platform
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} // namespace paddle
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namespace paddle {
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namespace framework {
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class GarbageCollector;
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class Scope;
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namespace ir {
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class Node;
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} // namespace ir
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namespace ir {
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class MemOptVarInfo;
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} // namespace ir
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namespace details {
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class EagerDeletionOpHandle : public OpHandleBase {
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public:
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EagerDeletionOpHandle(ir::Node *node, Scope *scope, size_t scope_idx,
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const platform::Place &place,
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const std::unordered_set<ir::MemOptVarInfo *> &vars,
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GarbageCollector *gc);
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~EagerDeletionOpHandle();
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std::string Name() const override;
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/**
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* Currently, EagerDeletionOpHandle has the highest priority.
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* This priority settings speed up gc 15% in Transformer
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* V100 8-GPU model.
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*/
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Priority GetPriority() const override { return kHighest; }
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size_t GetScopeIdx() const { return scope_idx_; }
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protected:
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void RunImpl() override;
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void InitCUDA() override;
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std::vector<Scope *> GetLocalScopes() override { return {scope_}; }
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private:
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void ClearGarbages(std::deque<std::shared_ptr<memory::Allocation>> *garbages);
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void CallOnce();
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Scope *scope_;
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size_t scope_idx_;
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platform::Place place_;
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std::vector<ir::MemOptVarInfo *> var_infos_; // not own
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GarbageCollector *gc_; // not own
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std::vector<Variable *> vars_;
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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platform::CUDADeviceContext *dev_ctx_{nullptr};
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gpuEvent_t event_{nullptr};
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#endif
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};
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} // namespace details
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} // namespace framework
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} // namespace paddle
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