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garbage_collector.h
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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
#include <utility>
#include "paddle/common/flags.h"
#include "paddle/phi/core/platform/device_context.h"
#include "paddle/phi/core/platform/stream_callback_manager.h"
namespace paddle {
namespace framework {
class GarbageCollector {
public:
using GarbageQueue = std::deque<std::shared_ptr<memory::Allocation>>;
GarbageCollector(const phi::Place &place, size_t max_memory_size);
virtual ~GarbageCollector() PADDLE_MAY_THROW {}
virtual void Wait() const {}
template <typename Container>
void Add(Container &&objs);
template <typename Container, typename Callback>
void Add(Container &&objs, Callback &&callback);
void DirectClearCallback(const std::function<void()> &callback) {
ClearCallback(callback);
}
protected:
virtual void ClearCallback(const std::function<void()> &callback) = 0;
phi::DeviceContext *dev_ctx_;
std::unique_ptr<GarbageQueue> garbages_;
mutable std::unique_ptr<std::mutex> mutex_;
const size_t max_memory_size_;
size_t cur_memory_size_{0};
};
class CPUGarbageCollector : public GarbageCollector {
public:
CPUGarbageCollector(const phi::CPUPlace &place, size_t max_memory_size);
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
#ifdef PADDLE_WITH_XPU
class XPUGarbageCollector : public GarbageCollector {
public:
XPUGarbageCollector(const phi::XPUPlace &place, size_t max_memory_size);
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
class XPUPinnedGarbageCollector : public GarbageCollector {
public:
XPUPinnedGarbageCollector(const phi::XPUPinnedPlace &place,
size_t max_memory_size);
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
#endif
#ifdef PADDLE_WITH_IPU
class IPUGarbageCollector : public GarbageCollector {
public:
IPUGarbageCollector(const phi::IPUPlace &place, size_t max_memory_size);
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
#endif
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
class UnsafeFastGPUGarbageCollector : public GarbageCollector {
public:
UnsafeFastGPUGarbageCollector(const phi::GPUPlace &place,
size_t max_memory_size);
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
class DefaultStreamGarbageCollector : public GarbageCollector {
public:
DefaultStreamGarbageCollector(const phi::GPUPlace &place,
size_t max_memory_size);
void Wait() const override;
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
class StreamGarbageCollector : public GarbageCollector {
public:
StreamGarbageCollector(const phi::GPUPlace &place, size_t max_memory_size);
~StreamGarbageCollector();
void Wait() const override;
gpuStream_t stream() const;
protected:
void ClearCallback(const std::function<void()> &callback) override;
private:
gpuStream_t stream_;
std::unique_ptr<platform::StreamCallbackManager<gpuStream_t>>
callback_manager_;
};
class CUDAPinnedGarbageCollector : public GarbageCollector {
public:
CUDAPinnedGarbageCollector(const phi::GPUPinnedPlace &place,
size_t max_memory_size);
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
#endif
#ifdef PADDLE_WITH_CUSTOM_DEVICE
class CustomDefaultStreamGarbageCollector : public GarbageCollector {
public:
CustomDefaultStreamGarbageCollector(const phi::CustomPlace &place,
size_t max_memory_size);
void Wait() const override;
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
class CustomDeviceUnsafeFastGarbageCollector : public GarbageCollector {
public:
CustomDeviceUnsafeFastGarbageCollector(const phi::CustomPlace &place,
size_t max_memory_size);
protected:
void ClearCallback(const std::function<void()> &callback) override;
};
class CustomStreamGarbageCollector : public GarbageCollector {
public:
CustomStreamGarbageCollector(const phi::CustomPlace &place,
size_t max_memory_size);
~CustomStreamGarbageCollector();
void Wait() const override;
phi::stream::Stream *stream() const;
protected:
void ClearCallback(const std::function<void()> &callback) override;
private:
std::unique_ptr<phi::stream::Stream> stream_;
std::unique_ptr<phi::CallbackManager> callback_manager_;
};
#endif
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) {
// 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;
}
GarbageQueue *garbage_queue = nullptr;
{
std::lock_guard<std::mutex> guard(*mutex_);
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_ = std::make_unique<GarbageQueue>();
}
}
if (garbage_queue) {
callback();
ClearCallback([garbage_queue]() { delete garbage_queue; });
}
}
int64_t GetEagerDeletionThreshold();
bool IsFastEagerDeletionModeEnabled();
void SetEagerDeletionMode(double threshold, double fraction, bool fast_mode);
double GetEagerDeletionMemoryFraction();
// create
extern std::unique_ptr<GarbageCollector> CreateGarbageCollector(
const phi::Place &place, const size_t max_memory_size);
} // namespace framework
} // namespace paddle