// 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/details/op_handle_base.h" namespace paddle { namespace framework { namespace details { std::string OpHandleBase::DebugString() const { std::stringstream ss; ss << "("; for (auto *var : inputs_) { ss << var->DebugString() << ", "; } ss << ") --> ("; for (auto *var : outputs_) { ss << var->DebugString() << ", "; } ss << ")\n"; return ss.str(); } OpHandleBase::~OpHandleBase() {} void OpHandleBase::Run(bool use_event) { #ifdef PADDLE_WITH_CUDA if (events_.empty() && use_event) { for (auto &p : dev_ctx_) { int dev_id = boost::get(p.first).device; cudaSetDevice(dev_id); cudaEventCreateWithFlags(&events_[dev_id], cudaEventDisableTiming); } } #else PADDLE_ENFORCE(!use_event); #endif RunImpl(); #ifdef PADDLE_WITH_CUDA if (use_event) { for (auto &p : dev_ctx_) { int dev_id = boost::get(p.first).device; auto stream = static_cast(p.second)->stream(); cudaEventRecord(events_.at(dev_id), stream); } } #endif } void OpHandleBase::Wait(platform::DeviceContext *waited_dev) { #ifdef PADDLE_WITH_CUDA if (platform::is_cpu_place(waited_dev->GetPlace()) || events_.empty()) { for (auto &dev_ctx : dev_ctx_) { dev_ctx.second->Wait(); } } else { auto stream = static_cast(waited_dev)->stream(); for (auto &ev : events_) { PADDLE_ENFORCE(cudaStreamWaitEvent(stream, ev.second, 0)); } } #else for (auto &dev_ctx : dev_ctx_) { dev_ctx.second->Wait(); } #endif } } // namespace details } // namespace framework } // namespace paddle