59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
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# Copyright 2019 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 keras-specific LossScale functionality.
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This functions cannot be in the non-keras loss_scale.py file since they depend
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on keras, and files outside of keras should not depend on files inside keras.
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"""
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from tensorflow.python.keras.utils import generic_utils
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from tensorflow.python.training.experimental import loss_scale as loss_scale_module
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def serialize(loss_scale):
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return generic_utils.serialize_keras_object(loss_scale)
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def deserialize(config, custom_objects=None):
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loss_scale_module_objects = {
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'FixedLossScale': loss_scale_module.FixedLossScale,
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'DynamicLossScale': loss_scale_module.DynamicLossScale,
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}
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return generic_utils.deserialize_keras_object(
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config,
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module_objects=loss_scale_module_objects,
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custom_objects=custom_objects,
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printable_module_name='loss scale'
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)
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def get(identifier):
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"""Get a loss scale object."""
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if isinstance(identifier, dict):
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return deserialize(identifier)
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if isinstance(identifier, (int, float)):
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return loss_scale_module.FixedLossScale(identifier)
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if identifier == 'dynamic':
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return loss_scale_module.DynamicLossScale()
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if isinstance(identifier, loss_scale_module.LossScale):
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return identifier
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elif identifier is None:
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return None
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else:
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raise ValueError('Could not interpret loss scale identifier: %s' %
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identifier)
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