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127 lines
3.5 KiB
127 lines
3.5 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 <condition_variable> // NOLINT
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#include <deque>
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace operators {
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namespace reader {
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template <typename T>
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class BlockingQueue {
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// BlockingQueue is for buffered reading and is supposed to use only the
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// reader package. It is true that we could and we should have been using
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// framework::Channel, but which has currently a deadlock bug. BlockingQueue
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// is a workaround and a simplified version of framework::Channel as it
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// doesn't support GPU and it implements on buffered blocking queue.
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public:
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explicit BlockingQueue(size_t capacity)
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: capacity_(capacity), closed_(false) {
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PADDLE_ENFORCE_GT(
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capacity_, 0,
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"The capacity of a reader::BlockingQueue must be greater than 0.");
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}
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bool Send(const T& elem) {
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std::unique_lock<std::mutex> lock(mutex_);
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send_cv_.wait(lock, [&] { return queue_.size() < capacity_ || closed_; });
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if (closed_) {
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VLOG(5)
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<< "WARNING: Sending an element to a closed reader::BlokcingQueue.";
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return false;
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}
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PADDLE_ENFORCE_LT(queue_.size(), capacity_);
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queue_.push_back(elem);
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receive_cv_.notify_one();
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return true;
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}
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bool Send(T&& elem) {
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std::unique_lock<std::mutex> lock(mutex_);
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send_cv_.wait(lock, [&] { return queue_.size() < capacity_ || closed_; });
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if (closed_) {
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VLOG(5)
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<< "WARNING: Sending an element to a closed reader::BlokcingQueue.";
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return false;
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}
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PADDLE_ENFORCE_LT(queue_.size(), capacity_);
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queue_.emplace_back(std::move(elem));
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receive_cv_.notify_one();
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return true;
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}
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bool Receive(T* elem) {
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std::unique_lock<std::mutex> lock(mutex_);
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receive_cv_.wait(lock, [&] { return !queue_.empty() || closed_; });
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if (!queue_.empty()) {
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PADDLE_ENFORCE_NOT_NULL(elem);
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*elem = queue_.front();
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queue_.pop_front();
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send_cv_.notify_one();
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return true;
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} else {
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PADDLE_ENFORCE(closed_);
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return false;
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}
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}
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void ReOpen() {
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std::lock_guard<std::mutex> lock(mutex_);
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closed_ = false;
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std::deque<T> new_deque;
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queue_.swap(new_deque);
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send_cv_.notify_all();
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receive_cv_.notify_all();
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}
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void Close() {
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std::lock_guard<std::mutex> lock(mutex_);
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closed_ = true;
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send_cv_.notify_all();
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receive_cv_.notify_all();
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}
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bool IsClosed() const {
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std::lock_guard<std::mutex> lock(mutex_);
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return closed_;
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}
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size_t Cap() const {
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std::lock_guard<std::mutex> lock(mutex_);
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return capacity_;
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}
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size_t Size() const {
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std::lock_guard<std::mutex> lock(mutex_);
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return queue_.size();
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}
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private:
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size_t capacity_;
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bool closed_;
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std::deque<T> queue_;
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mutable std::mutex mutex_;
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mutable std::condition_variable receive_cv_;
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mutable std::condition_variable send_cv_;
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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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