/* Copyright (c) 2016 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 "AverageOptimizer.h" #include "FirstOrderOptimizer.h" #include "OptimizerWithRegularizer.h" namespace paddle { // creator for AverageOptimizer ParameterOptimizer* sgdOptimizerCreate(const OptimizationConfig& optConfig, const ParameterConfig& paraConfig, bool isParameterSparse, bool inPserver) { ParameterOptimizer* optimizer = OptimizerWithRegularizer::create( optConfig, paraConfig, isParameterSparse, inPserver); return AverageOptimizer::create( optConfig, optimizer, isParameterSparse, inPserver /*useParameterApply*/); } std::vector sgdOptimizerGetTypes( const OptimizationConfig& optConfig, bool inPserver) { std::unique_ptr optimizer; optimizer.reset( AverageOptimizer::create(optConfig, ParameterOptimizer::create(optConfig, inPserver), false /*isParameterSparse*/, inPserver)); CHECK(optimizer) << "fail to create optimizer: " << optConfig.learning_method(); return optimizer->getParameterTypes(); } bool useApplyInPserver(const OptimizationConfig& optConfig) { auto types = sgdOptimizerGetTypes(optConfig, true /*inPserver*/); return types.end() != std::find(types.begin(), types.end(), PARAMETER_APPLY); } } // namespace paddle