52 lines
1.7 KiB
52 lines
1.7 KiB
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
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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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import copy
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import paddle.trainer.config_parser as config_parser
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from paddle.proto.TrainerConfig_pb2 import OptimizationConfig
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'''
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This file is a wrapper of formal config_parser. The main idea of this file is to
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separete different config logic into different function, such as network configuration
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and optimizer configuration.
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'''
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__all__ = [
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"parse_trainer_config", "parse_network_config", "parse_optimizer_config",
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"reset_parser"
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]
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def parse_trainer_config(trainer_conf, config_arg_str):
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return config_parser.parse_config(trainer_conf, config_arg_str)
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def parse_network_config(network_conf, config_arg_str=''):
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config = config_parser.parse_config(network_conf, config_arg_str)
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return config.model_config
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def parse_optimizer_config(optimizer_conf, config_arg_str=''):
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config_parser.settings = copy.deepcopy(config_parser.DEFAULT_SETTING)
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optimizer_conf()
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opt_config = OptimizationConfig()
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for k, v in config_parser.settings.iteritems():
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if v is None:
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continue
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opt_config.__setattr__(k, v)
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return opt_config
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def reset_parser():
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config_parser.begin_parse()
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