You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
76 lines
2.2 KiB
76 lines
2.2 KiB
// 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 <list>
|
|
#include <memory>
|
|
#include <queue>
|
|
#include <vector>
|
|
#include "ThreadPool.h"
|
|
#include "paddle/fluid/framework/reader.h"
|
|
#ifdef PADDLE_WITH_CUDA
|
|
#include "paddle/fluid/platform/gpu_info.h"
|
|
#endif
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
namespace reader {
|
|
|
|
class BufferedReader : public framework::DecoratedReader {
|
|
using TensorVec = std::vector<framework::LoDTensor>;
|
|
using VecFuture = std::future<TensorVec>;
|
|
|
|
public:
|
|
BufferedReader(const std::shared_ptr<framework::ReaderBase>& reader,
|
|
const platform::Place& place, size_t buffer_size);
|
|
|
|
~BufferedReader() override;
|
|
|
|
private:
|
|
void ReadTillBufferFullAsync();
|
|
|
|
void ReadAsync(size_t i);
|
|
|
|
protected:
|
|
void ShutdownImpl() override;
|
|
void StartImpl() override;
|
|
void ReadNextImpl(std::vector<framework::LoDTensor>* out) override;
|
|
|
|
private:
|
|
ThreadPool thread_pool_;
|
|
platform::Place place_;
|
|
const size_t buffer_size_;
|
|
|
|
std::queue<std::future<size_t>> position_;
|
|
|
|
// The buffer for reading data.
|
|
// NOTE: the simplest way to implement buffered reader is do not use any
|
|
// buffer, just read async and create futures as buffer size. However, to
|
|
// malloc tensors every time is extremely slow. Here we store all data in
|
|
// buffers and prevent alloc every time.
|
|
std::vector<TensorVec> cpu_buffer_;
|
|
std::vector<TensorVec> gpu_buffer_;
|
|
size_t prev_pos_{-1UL};
|
|
#ifdef PADDLE_WITH_CUDA
|
|
cudaStream_t stream_;
|
|
cudaStream_t compute_stream_;
|
|
std::vector<cudaEvent_t> events_;
|
|
#endif
|
|
};
|
|
|
|
} // namespace reader
|
|
} // namespace operators
|
|
} // namespace paddle
|