// 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 #include #include // NOLINT #include #include #include #include #include #include #include #include "paddle/fluid/framework/reader.h" #include "paddle/fluid/framework/threadpool.h" #include "paddle/fluid/operators/reader/lod_tensor_blocking_queue.h" namespace paddle { namespace operators { namespace reader { enum ReaderThreadStatus { Running, Stopped }; struct DataDesc { DataDesc(int batch_size, const std::vector& file_names, const std::string& file_type, const std::string& file_format, const std::vector& dense_slot_index, const std::vector& sparse_slot_index, const std::vector& sparse_slot_ids) : batch_size_(batch_size), file_names_(file_names), file_type_(file_type), file_format_(file_format), dense_slot_index_(dense_slot_index), sparse_slot_index_(sparse_slot_index), sparse_slot_ids_(sparse_slot_ids) {} const int batch_size_; const std::vector file_names_; const std::string file_type_; // gzip or plain const std::string file_format_; // csv or svm // used for csv data format const std::vector dense_slot_index_; const std::vector sparse_slot_index_; // used for svm data format const std::vector sparse_slot_ids_; }; inline std::ostream& operator<<(std::ostream& os, const DataDesc& data_desc) { os << "data_desc:\n"; os << "\tbatch_size -> " << data_desc.batch_size_ << "\n"; os << "\tfile_type -> " << data_desc.file_type_ << "\n"; os << "\tfile_format -> " << data_desc.file_format_ << "\n"; os << "\tfile_names -> {"; for (auto& file_name : data_desc.file_names_) { os << file_name << ","; } os << "}\n"; os << "\tdense_slot_index -> {"; for (auto& slot : data_desc.dense_slot_index_) { os << slot << ","; } os << "}\n"; os << "\tsparse_slot_index_ -> {"; for (auto& slot : data_desc.sparse_slot_index_) { os << slot << ","; } os << "}\n"; os << "\tsparse_slot_ids_ -> {"; for (auto& slot : data_desc.sparse_slot_ids_) { os << slot << ","; } os << "}\n"; return os; } void ReadThread(const std::vector& file_list, const DataDesc& data_desc, int thread_id, std::vector* thread_status, std::shared_ptr queue); // monitor all running thread, if they are all stopped, // then push an empty data into LoDTensorBlockingQueue void MonitorThread(std::vector* thread_status, std::shared_ptr queue); class CTRReader : public framework::FileReader { public: explicit CTRReader(const std::shared_ptr& queue, int batch_size, size_t thread_num, const std::vector& slots, const std::vector& file_list) : batch_size_(batch_size), slots_(slots), file_list_(file_list) { PADDLE_ENFORCE_GT(thread_num, 0, "thread num should be larger then 0!"); PADDLE_ENFORCE(queue != nullptr, "LoDTensorBlockingQueue must not be null"); PADDLE_ENFORCE_GT(file_list.size(), 0, "file list should not be empty"); thread_num_ = std::min(file_list_.size(), thread_num); queue_ = queue; SplitFiles(); for (size_t i = 0; i < thread_num_; ++i) { read_thread_status_.push_back(Stopped); } } ~CTRReader() { Shutdown(); } void ReadNext(std::vector* out) override { bool success; *out = queue_->Pop(&success); if (!success) out->clear(); } void Shutdown() override { VLOG(3) << "Shutdown reader"; if (status_ == ReaderStatus::kStopped) { return; } // shutdown should stop all the reader thread for (auto& read_thread : read_threads_) { read_thread->join(); } if (monitor_thread_) { monitor_thread_->join(); } read_threads_.clear(); monitor_thread_.reset(nullptr); queue_->Close(); status_ = ReaderStatus::kStopped; } void Start() override { VLOG(3) << "Start reader"; PADDLE_ENFORCE_EQ(read_threads_.size(), 0, "read thread should be empty!"); queue_->ReOpen(); VLOG(3) << "reopen success"; VLOG(3) << "thread_num " << thread_num_; for (int thread_id = 0; thread_id < thread_num_; thread_id++) { read_threads_.emplace_back(new std::thread(std::bind( &ReadThread, file_groups_[thread_id], data_desc_, static_cast(thread_id), &read_thread_status_, queue_))); } monitor_thread_.reset(new std::thread( std::bind(&MonitorThread, &read_thread_status_, queue_))); status_ = ReaderStatus::kRunning; } private: void SplitFiles() { file_groups_.resize(thread_num_); for (size_t i = 0; i < data_desc_.file_names_.size(); ++i) { auto& file_name = data_desc_.file_names_[i]; std::ifstream f(file_name.c_str()); PADDLE_ENFORCE(f.good(), "file %s not exist!", file_name); file_groups_[i % thread_num_].push_back(file_name); } } private: size_t thread_num_; const DataDesc data_desc_; std::shared_ptr queue_; std::vector> read_threads_; std::unique_ptr monitor_thread_; std::vector read_thread_status_; std::vector> file_groups_; }; } // namespace reader } // namespace operators } // namespace paddle