trainer_factory.py 1.5 KB
Newer Older
D
dongdaxiang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
#   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

22
    def _create_trainer(self, opt_info=None):
D
dongdaxiang 已提交
23 24
        from .trainer_desc import MultiTrainer, DistMultiTrainer
        from .device_worker import Hogwild, DownpourSGD
D
dongdaxiang 已提交
25 26
        trainer = None
        device_worker = None
D
dongdaxiang 已提交
27
        if opt_info == None:
D
dongdaxiang 已提交
28 29 30
            # default is MultiTrainer + Hogwild
            trainer = MultiTrainer()
            device_worker = Hogwild()
31
            trainer._set_device_worker(device_worker)
D
dongdaxiang 已提交
32
        else:
D
dongdaxiang 已提交
33 34 35 36
            trainer_class = opt_info["trainer"]
            device_worker_class = opt_info["device_worker"]
            trainer = globals()[trainer_class]()
            device_worker = globals()[device_worker_class]()
37 38 39
            device_worker._set_fleet_desc(opt_info["fleet_desc"])
            trainer._set_device_worker(device_worker)
            trainer._set_fleet_desc(opt_info["fleet_desc"])
D
dongdaxiang 已提交
40
        return trainer