garbage_collector.h 4.5 KB
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#pragma once

#include <deque>
#include <functional>
#include <memory>
#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 {
namespace platform {
class DeviceContext;
}  // namespace platform
}  // namespace paddle

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namespace paddle {
namespace framework {

class GarbageCollector {
 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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  void DirectClearCallback(const std::function<void()> &callback) {
    ClearCallback(callback);
  }

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 protected:
  virtual void ClearCallback(const std::function<void()> &callback) = 0;

  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_XPU
class XPUGarbageCollector : public GarbageCollector {
 public:
  XPUGarbageCollector(const platform::XPUPlace &place, size_t max_memory_size);

 protected:
  void ClearCallback(const std::function<void()> &callback) override;
};
#endif

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#ifdef PADDLE_WITH_CUDA
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class UnsafeFastGPUGarbageCollector : public GarbageCollector {
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 public:
  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:
  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:
  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:
  cudaStream_t stream_;
  std::unique_ptr<platform::StreamCallbackManager> callback_manager_;
};
#endif

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template <typename Container>
void GarbageCollector::Add(Container &&objs) {
  Add(std::forward<Container>(objs), []() {});
}

template <typename Container, typename Callback>
void GarbageCollector::Add(Container &&objs, Callback &&callback) {
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  // Special case when FLAGS_eager_delete_tensor_gb=0.0
  // It speeds up GC about 2~3%.
  if (max_memory_size_ <= 1) {
    callback();
    auto *container = new Container(std::move(objs));
    ClearCallback([container] { delete container; });
    return;
  }

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  GarbageQueue *garbage_queue = nullptr;
  {
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    std::lock_guard<std::mutex> guard(*mutex_);
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    for (auto &obj : objs) {
      if (!obj) continue;
      cur_memory_size_ += obj->size();
      garbages_->push_back(std::move(obj));
    }
    if (cur_memory_size_ >= max_memory_size_) {
      cur_memory_size_ = 0;
      garbage_queue = garbages_.release();
      garbages_.reset(new GarbageQueue());
    }
  }

  if (garbage_queue) {
    callback();
    ClearCallback([garbage_queue]() { delete garbage_queue; });
  }
}

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int64_t GetEagerDeletionThreshold();
bool IsFastEagerDeletionModeEnabled();

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void SetEagerDeletionMode(double threshold, double fraction, bool fast_mode);

double GetEagerDeletionMemoryFraction();
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}  // namespace framework
}  // namespace paddle