54 lines
1.6 KiB
54 lines
1.6 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include "parameter_optimizer.h"
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namespace paddle {
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namespace optimizer {
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class AdadeltaOptimizer : public ParameterOptimizer {
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public:
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AdadeltaOptimizer(
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Tensor *parameter, LrPolicy *lr, double rho, double epsilon, double decay)
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: ParameterOptimizer(parameter, lr),
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accum_gradient_(new Tensor(parameter->size())),
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accum_delta_(new Tensor(parameter->size())),
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update_delta_(new Tensor(parameter->size())),
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rho_(rho),
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epsilon_(epsilon),
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decay_(decay) {}
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~AdadeltaOptimizer() {
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if (accum_gradient_) delete accum_gradient_;
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if (accum_delta_) delete accum_delta_;
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if (update_delta_) delete update_delta_;
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}
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void Update(const Tensor *gradient);
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std::string SerializeState();
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void DeserializeState(const std::string &state);
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private:
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Tensor *accum_gradient_;
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Tensor *accum_delta_;
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Tensor *update_delta_;
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double rho_;
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double epsilon_;
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double decay_;
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};
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} // namespace optimizer
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} // namespace paddle
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