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76 lines
2.7 KiB
76 lines
2.7 KiB
/* Copyright (c) 2018 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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#include "paddle/fluid/framework/trainer_factory.h"
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#include <memory>
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#include <string>
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#include <unordered_map>
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namespace paddle {
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namespace framework {
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class TrainerBase;
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typedef std::shared_ptr<TrainerBase> (*CreatetrainerFunction)();
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typedef std::unordered_map<std::string, CreatetrainerFunction> trainerMap;
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trainerMap g_trainer_map;
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#define REGISTER_TRAINER_CLASS(trainer_class) \
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namespace { \
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std::shared_ptr<TrainerBase> Creator_##trainer_class() { \
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return std::shared_ptr<TrainerBase>(new trainer_class); \
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} \
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class __Registerer_##trainer_class { \
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public: \
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__Registerer_##trainer_class() { \
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g_trainer_map[#trainer_class] = &Creator_##trainer_class; \
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} \
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}; \
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__Registerer_##trainer_class g_registerer_##trainer_class; \
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} // namespace
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std::string TrainerFactory::TrainerTypeList() {
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std::string trainer_types;
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for (auto iter = g_trainer_map.begin(); iter != g_trainer_map.end(); ++iter) {
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if (iter != g_trainer_map.begin()) {
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trainer_types += ", ";
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}
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trainer_types += iter->first;
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}
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return trainer_types;
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}
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std::shared_ptr<TrainerBase> TrainerFactory::CreateTrainer(
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std::string trainer_class) {
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if (g_trainer_map.count(trainer_class) < 1) {
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LOG(WARNING) << "Trainer class: " << trainer_class << " not defined";
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LOG(WARNING) << TrainerTypeList();
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exit(-1);
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}
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return g_trainer_map[trainer_class]();
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}
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REGISTER_TRAINER_CLASS(MultiTrainer);
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REGISTER_TRAINER_CLASS(DistMultiTrainer);
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#if (defined PADDLE_WITH_CUDA || defined PADDLE_WITH_XPU) && \
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(defined PADDLE_WITH_PSLIB)
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REGISTER_TRAINER_CLASS(HeterXpuTrainer);
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REGISTER_TRAINER_CLASS(HeterBoxTrainer);
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#endif
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#if defined(PADDLE_WITH_NCCL)
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REGISTER_TRAINER_CLASS(PipelineTrainer);
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#endif
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} // namespace framework
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} // namespace paddle
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