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84 lines
2.8 KiB
84 lines
2.8 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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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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from initializer import Initializer, Xavier, Constant
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from regularizer import WeightDecayRegularizer
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__all__ = ['ParamAttr']
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class ParamAttr(object):
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def __init__(self,
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name=None,
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initializer=None,
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learning_rate=1.0,
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regularizer=None,
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trainable=True,
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clip=None):
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self.name = name
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self.initializer = initializer
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self.learning_rate = learning_rate
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self.regularizer = regularizer
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self.trainable = trainable
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self.clip = clip
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def set_default_initializer(self, initializer):
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if initializer is None:
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if self.initializer is None:
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raise ValueError("ParamAttr.initializer is not set")
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return
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if self.initializer is not None:
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return
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self.initializer = initializer
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def set_default_param_initializer(self):
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self.set_default_initializer(Xavier())
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def set_default_bias_initializer(self):
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self.set_default_initializer(Constant(0.0))
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@staticmethod
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def to_attr(arg):
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if arg is None:
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return ParamAttr()
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elif isinstance(arg, list) or isinstance(arg, tuple):
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return [ParamAttr.to_attr(a) for a in arg]
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elif isinstance(arg, ParamAttr):
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return arg
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elif isinstance(arg, str) or isinstance(arg, unicode):
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return ParamAttr(name=arg)
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elif isinstance(arg, Initializer):
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return ParamAttr(initializer=arg)
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elif isinstance(arg, WeightDecayRegularizer):
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return ParamAttr(regularizer=arg)
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elif isinstance(arg, bool):
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return ParamAttr.to_attr(None) if arg else False
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else:
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raise TypeError("{0} cast to ParamAttr".format(type(arg)))
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def to_kwargs(self, with_initializer=False):
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kwargs = {
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'name': self.name,
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'optimize_attr': {
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'learning_rate': self.learning_rate
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},
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'regularizer': self.regularizer,
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'trainable': self.trainable,
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'clip_attr': self.clip
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}
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if with_initializer:
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kwargs['initializer'] = self.initializer
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return kwargs
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