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// 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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#include "paddle/fluid/framework/threadpool.h"
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#include "paddle/fluid/operators/reader/reader_op_registry.h"
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namespace paddle {
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namespace operators {
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namespace reader {
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static constexpr size_t kDoubleBufferSize = 3;
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class DoubleBufferReader : public framework::DecoratedReader {
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public:
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explicit DoubleBufferReader(ReaderBase* reader)
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: DecoratedReader(reader),
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buffer_(kDoubleBufferSize),
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write_pos_(0),
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read_pos_(0) {
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std::thread prefetch(
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std::bind(&DoubleBufferReader::PrefetchThreadFunc, this));
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prefetch.detach();
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// framework::Async(
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// std::bind(&DoubleBufferReader::PrefetchThreadFunc, this));
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}
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void ReadNext(std::vector<framework::LoDTensor>* out) override;
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bool HasNext() const override;
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private:
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void PrefetchThreadFunc();
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std::vector<std::vector<framework::LoDTensor>> buffer_;
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size_t write_pos_;
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size_t read_pos_;
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std::mutex mtx_;
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std::condition_variable buffer_not_full_;
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std::condition_variable buffer_not_empty_;
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};
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class CreateDoubleBufferReaderOp : public framework::OperatorBase {
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public:
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using framework::OperatorBase::OperatorBase;
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private:
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void RunImpl(const framework::Scope& scope,
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const platform::Place& dev_place) const override {
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const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
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->Get<framework::ReaderHolder>();
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auto* out = scope.FindVar(Output("Out"))
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->template GetMutable<framework::ReaderHolder>();
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out->Reset(new DoubleBufferReader(underlying_reader.Get()));
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}
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};
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class CreateDoubleBufferReaderOpMaker : public DecoratedReaderMakerBase {
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public:
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CreateDoubleBufferReaderOpMaker(OpProto* op_proto, OpAttrChecker* op_checker)
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: DecoratedReaderMakerBase(op_proto, op_checker) {
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AddComment(R"DOC(
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CreateDoubleBufferReader Operator
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A double buffer reader takes another reader as its 'underlying reader'.
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It launches another thread to execute the 'underlying reader' asynchronously,
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which prevents reading process from blocking subsequent training.
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)DOC");
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}
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};
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void DoubleBufferReader::ReadNext(std::vector<framework::LoDTensor>* out) {
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std::unique_lock<std::mutex> lck(mtx_);
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while (write_pos_ == read_pos_) {
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buffer_not_empty_.wait(lck);
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}
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out->clear();
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out->reserve(buffer_[read_pos_].size());
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// TODO(fengjiayi): This copy shall be reduced.
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for (size_t i = 0; i < buffer_[read_pos_].size(); ++i) {
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framework::LoDTensor dst;
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TensorCopy(buffer_[read_pos_][i], platform::CPUPlace(), &dst);
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dst.set_lod(buffer_[read_pos_][i].lod());
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out->push_back(dst);
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}
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++read_pos_;
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if (read_pos_ >= kDoubleBufferSize) {
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read_pos_ = 0;
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}
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buffer_not_full_.notify_all();
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}
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bool DoubleBufferReader::HasNext() const {
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return reader_->HasNext() || !buffer_.empty();
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}
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void DoubleBufferReader::PrefetchThreadFunc() {
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while (reader_->HasNext()) {
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std::unique_lock<std::mutex> lck(mtx_);
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while (((write_pos_ + 1) % kDoubleBufferSize) == read_pos_) {
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buffer_not_full_.wait(lck);
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}
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reader_->ReadNext(&buffer_[write_pos_]);
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++write_pos_;
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if (write_pos_ >= kDoubleBufferSize) {
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write_pos_ = 0;
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}
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buffer_not_empty_.notify_all();
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}
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}
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} // namespace reader
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators::reader;
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REGISTER_DECORATED_READER_OPERATOR(create_double_buffer_reader,
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ops::CreateDoubleBufferReaderOp,
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ops::CreateDoubleBufferReaderOpMaker);
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