/* 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. */ #include "paddle/fluid/framework/device_worker.h" #include "paddle/fluid/framework/device_worker_factory.h" #include "paddle/fluid/platform/cpu_helper.h" #include "paddle/fluid/platform/lodtensor_printer.h" namespace paddle { namespace framework { void HogwildWorker::Initialize(const TrainerDesc& desc) { fetch_var_names_.resize(desc.fetch_var_names_size()); for (size_t i = 0; i < desc.fetch_var_names_size(); ++i) { fetch_var_names_[i] = desc.fetch_var_names(i); } batch_cnt_per_print_ = static_cast(desc.batch_per_print()); } void HogwildWorker::CreateThreadOperators(const ProgramDesc& program) { auto& block = program.Block(0); op_names_.clear(); for (auto& op_desc : block.AllOps()) { std::unique_ptr local_op = OpRegistry::CreateOp(*op_desc); op_names_.push_back(op_desc->Type()); OperatorBase* local_op_ptr = local_op.release(); ops_.push_back(local_op_ptr); continue; } } void HogwildWorker::CreateThreadScope(const ProgramDesc& program) { auto& block = program.Block(0); PADDLE_ENFORCE_NOT_NULL( root_scope_, "root_scope should be set before creating thread scope"); thread_scope_ = &root_scope_->NewScope(); for (auto& var : block.AllVars()) { if (var->Persistable()) { auto* ptr = root_scope_->Var(var->Name()); InitializeVariable(ptr, var->GetType()); } else { auto* ptr = thread_scope_->Var(var->Name()); InitializeVariable(ptr, var->GetType()); } } } void HogwildWorker::BindingDataFeedMemory() { const std::vector& input_feed = device_reader_->GetUseSlotAlias(); for (auto name : input_feed) { device_reader_->AddFeedVar(thread_scope_->Var(name), name); } } void HogwildWorker::CreateDeviceResource(const ProgramDesc& main_prog) { CreateThreadScope(main_prog); CreateThreadOperators(main_prog); } void HogwildWorker::TrainFilesWithProfiler() { platform::SetNumThreads(1); device_reader_->Start(); std::vector op_total_time; std::vector op_name; for (auto& op : ops_) { op_name.push_back(op->Type()); } op_total_time.resize(ops_.size()); for (size_t i = 0; i < op_total_time.size(); ++i) { op_total_time[i] = 0.0; } platform::Timer timeline; double total_time = 0.0; double read_time = 0.0; int cur_batch; int batch_cnt = 0; timeline.Start(); uint64_t total_inst = 0; while ((cur_batch = device_reader_->Next()) > 0) { VLOG(3) << "read a batch in thread " << thread_id_; timeline.Pause(); read_time += timeline.ElapsedSec(); total_time += timeline.ElapsedSec(); for (size_t i = 0; i < ops_.size(); ++i) { timeline.Start(); VLOG(3) << "Going to run op " << op_name[i]; ops_[i]->Run(*thread_scope_, place_); VLOG(3) << "Op " << op_name[i] << " Finished"; timeline.Pause(); op_total_time[i] += timeline.ElapsedSec(); total_time += timeline.ElapsedSec(); } total_inst += cur_batch; ++batch_cnt; thread_scope_->DropKids(); if (thread_id_ == 0) { if (batch_cnt > 0 && batch_cnt % 100 == 0) { for (size_t i = 0; i < ops_.size(); ++i) { fprintf(stderr, "op_name:[%zu][%s], op_mean_time:[%fs]\n", i, op_name[i].c_str(), op_total_time[i] / batch_cnt); } fprintf(stderr, "mean read time: %fs\n", read_time / batch_cnt); fprintf(stderr, "IO percent: %f\n", read_time / total_time * 100); fprintf(stderr, "%6.2f instances/s\n", total_inst / total_time); } } timeline.Start(); } } void HogwildWorker::TrainFiles() { platform::SetNumThreads(1); // how to accumulate fetched values here device_reader_->Start(); int cur_batch; int batch_cnt = 0; while ((cur_batch = device_reader_->Next()) > 0) { for (auto& op : ops_) { op->Run(*thread_scope_, place_); } ++batch_cnt; thread_scope_->DropKids(); } } void HogwildWorker::PrintFetchVars(int batch_cnt) { if (thread_id_ == 0) { if (batch_cnt > 0 && batch_cnt % batch_cnt_per_print_ == 0) { int fetch_var_num = fetch_var_names_.size(); for (int i = 0; i < fetch_var_num; ++i) { platform::PrintVar(thread_scope_, fetch_var_names_[i], "None"); } } } } } // end namespace framework } // end namespace paddle