/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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/framework/executor.h" #include #include #include "paddle/framework/op_registry.h" #include "paddle/framework/scope.h" namespace paddle { namespace framework { Executor::Executor(const std::vector& places) { devices_.resize(places.size()); for (size_t i = 0; i < places.size(); i++) { devices_[i] = platform::GetDevice(places[i]); } } void Executor::Run(const ProgramDesc& pdesc, Scope* scope, std::vector* outputs) { // operators running // TODO(tonyyang-svail): // - only runs the first block // - only runs on the first device auto& block = pdesc.blocks(0); auto& device = devices_[0]; for (auto& var : block.vars()) { scope->NewVar(var.name()); } // std::vector ops; for (auto& op_desc : block.ops()) { auto op = framework::OpRegistry::CreateOp(op_desc); // op->InferShape(*scope); op->Run(*scope, *device->cpu_device_context); } // TODO(tonyyang-svail): need to test gpu device // device_->cpu_device_context->Wait(); // #ifndef PADDLE_ONLY_CPU // if (device_->cuda_device_context) { // device_->cuda_device_context->Wait(); // } // #endif Scope& local_scope = scope->NewScope(); local_scope.NewVar(); for (auto device : devices_) { device->cpu_device_context->Wait(); #ifndef PADDLE_ONLY_CPU if (device->cuda_device_context) { device->cuda_device_context->Wait(); } #endif } } } // namespace framework } // namespace paddle