forked from mindspore-Ecosystem/mindspore
58 lines
1.8 KiB
C++
58 lines
1.8 KiB
C++
/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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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*/
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#ifndef MINDSPORE_INCLUDE_API_CALLBACK_LR_SCHEDULER_H
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#define MINDSPORE_INCLUDE_API_CALLBACK_LR_SCHEDULER_H
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#include <cstddef>
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#include <string>
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#include <vector>
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#include <memory>
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#include "include/api/callback/callback.h"
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#ifdef _WIN32
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#define MS_API __declspec(dllexport)
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#else
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#define MS_API __attribute__((visibility("default")))
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#endif
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namespace mindspore {
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constexpr int DONT_UPDATE_LR = 0;
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constexpr int UPDATE_LR = 1;
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using LR_Lambda = std::function<int(float *lr, int epoch, void *cb_data)>;
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/// \brief Multiply the LR by a factor of gamma every epoch
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int MultiplicativeLRLambda(float *lr, int epoch, void *multiplication);
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/// \brief Multiply the LR by a factor of gamma every step_size
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int StepLRLambda(float *lr, int epoch, void *step_size);
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struct StepLRLambda {
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StepLRLambda(int step, float g) : step_size(step), gamma(g) {}
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int step_size; // period of LR decay
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float gamma; // LR decay factor
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};
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class LRScheduler: public TrainCallBack {
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public:
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explicit LRScheduler(LR_Lambda lambda_func, void *lr_cb_data = nullptr, int step = 1);
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virtual ~LRScheduler();
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};
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} // namespace mindspore
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#endif // MINDSPORE_INCLUDE_API_CALLBACK_LR_SCHEDULER_H
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