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49 lines
1.9 KiB
49 lines
1.9 KiB
9 years ago
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/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "AverageOptimizer.h"
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#include "FirstOrderOptimizer.h"
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#include "OptimizerWithRegularizer.h"
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namespace paddle {
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// creator for AverageOptimizer
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ParameterOptimizer* sgdOptimizerCreate(const OptimizationConfig& optConfig,
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const ParameterConfig& paraConfig,
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bool isParameterSparse, bool inPserver) {
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ParameterOptimizer* optimizer = OptimizerWithRegularizer::create(
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optConfig, paraConfig, isParameterSparse, inPserver);
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return AverageOptimizer::create(optConfig, optimizer, isParameterSparse,
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inPserver /*useParameterApply*/);
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}
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std::vector<ParameterType> sgdOptimizerGetTypes(
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const OptimizationConfig& optConfig, bool inPserver) {
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std::unique_ptr<ParameterOptimizer> optimizer;
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optimizer.reset(AverageOptimizer::create(
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optConfig, ParameterOptimizer::create(optConfig, inPserver),
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false /*isParameterSparse*/, inPserver));
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CHECK(optimizer) << "fail to create optimizer: "
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<< optConfig.learning_method();
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return optimizer->getParameterTypes();
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}
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bool useApplyInPserver(const OptimizationConfig& optConfig) {
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auto types = sgdOptimizerGetTypes(optConfig, true /*inPserver*/);
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return types.end() != std::find(types.begin(), types.end(), PARAMETER_APPLY);
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}
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} // namespace paddle
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