trainer_factory.py

#   Copyright (c) 2019 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.

__all__ = ["TrainerFactory"]


class TrainerFactory(object):
    def __init__(self):
        pass

    def create_trainer(self, opt_info=None):
        if opt_info == None:
            return MultiTrainer()
        else:
            if opt_info["optimizer"] == "DownpourSGD":
                trainer = DistMultiTrainer()
                trainer.gen_trainer_desc(
                    fleet_desc=opt_info["fleet"], worker="downpour")
                return trainer
            else:
                print("Currently only support DownpourSGD")