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35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
# Copyright 2015 The TensorFlow 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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# =============================================================================
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"""Contains the normalization layer classes and their functional aliases.
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"""
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from tensorflow.python.util import lazy_loader
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normalization = lazy_loader.LazyLoader(
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'normalization', globals(),
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'tf_keras.legacy_tf_layers.normalization')
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# pylint: disable=invalid-name
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# lazy load all the attributes until they are accessed for the first time
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def __getattr__(name):
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if name in ['BatchNormalization', 'BatchNorm']:
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return normalization.BatchNormalization
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elif name in ['batch_normalization', 'batch_norm']:
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return normalization.batch_normalization
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else:
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raise AttributeError(f'module {__name__} doesn\'t have attribute {name}')
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