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149 lines
4.1 KiB
149 lines
4.1 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 <functional>
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#include <memory>
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#include <mutex> // NOLINT
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#include <utility>
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#include "gflags/gflags.h"
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#include "paddle/fluid/platform/device_context.h"
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namespace paddle {
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namespace framework {
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class GarbageCollector {
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public:
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using GarbageQueue = std::deque<std::shared_ptr<memory::Allocation>>;
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GarbageCollector(const platform::Place &place, size_t max_memory_size);
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virtual ~GarbageCollector() PADDLE_MAY_THROW {}
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virtual void Wait() const {}
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template <typename Container>
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void Add(Container &&objs);
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template <typename Container, typename Callback>
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void Add(Container &&objs, Callback &&callback);
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protected:
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virtual void ClearCallback(const std::function<void()> &callback) = 0;
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platform::DeviceContext *dev_ctx_;
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std::unique_ptr<GarbageQueue> garbages_;
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mutable std::unique_ptr<std::mutex> mutex_;
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const size_t max_memory_size_;
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size_t cur_memory_size_{0};
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};
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class CPUGarbageCollector : public GarbageCollector {
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public:
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CPUGarbageCollector(const platform::CPUPlace &place, size_t max_memory_size);
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protected:
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void ClearCallback(const std::function<void()> &callback) override;
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};
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#ifdef PADDLE_WITH_CUDA
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class UnsafeFastGPUGarbageCollector : public GarbageCollector {
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public:
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UnsafeFastGPUGarbageCollector(const platform::CUDAPlace &place,
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size_t max_memory_size);
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protected:
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void ClearCallback(const std::function<void()> &callback) override;
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};
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class DefaultStreamGarbageCollector : public GarbageCollector {
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public:
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DefaultStreamGarbageCollector(const platform::CUDAPlace &place,
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size_t max_memory_size);
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void Wait() const override;
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protected:
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void ClearCallback(const std::function<void()> &callback) override;
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};
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class StreamGarbageCollector : public GarbageCollector {
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public:
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StreamGarbageCollector(const platform::CUDAPlace &place,
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size_t max_memory_size);
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~StreamGarbageCollector();
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void Wait() const override;
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cudaStream_t stream() const;
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protected:
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void ClearCallback(const std::function<void()> &callback) override;
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private:
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cudaStream_t stream_;
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std::unique_ptr<platform::StreamCallbackManager> callback_manager_;
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};
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#endif
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template <typename Container>
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void GarbageCollector::Add(Container &&objs) {
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Add(std::forward<Container>(objs), []() {});
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}
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template <typename Container, typename Callback>
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void GarbageCollector::Add(Container &&objs, Callback &&callback) {
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// Special case when FLAGS_eager_delete_tensor_gb=0.0
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// It speeds up GC about 2~3%.
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if (max_memory_size_ <= 1) {
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callback();
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auto *container = new Container(std::move(objs));
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ClearCallback([container] { delete container; });
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return;
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}
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GarbageQueue *garbage_queue = nullptr;
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{
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std::lock_guard<std::mutex> guard(*mutex_);
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for (auto &obj : objs) {
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if (!obj) continue;
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cur_memory_size_ += obj->size();
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garbages_->push_back(std::move(obj));
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}
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if (cur_memory_size_ >= max_memory_size_) {
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cur_memory_size_ = 0;
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garbage_queue = garbages_.release();
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garbages_.reset(new GarbageQueue());
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}
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}
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if (garbage_queue) {
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callback();
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ClearCallback([garbage_queue]() { delete garbage_queue; });
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}
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}
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int64_t GetEagerDeletionThreshold();
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bool IsFastEagerDeletionModeEnabled();
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void SetEagerDeletionMode(double threshold, double fraction, bool fast_mode);
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double GetEagerDeletionMemoryFraction();
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} // namespace framework
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} // namespace paddle
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