42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
# 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 the get_layer_policy function.
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This is a separate file from policy.py to avoid a circular dependency.
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get_layer_policy() relies on base_layer.py, itself which relies on policy.py.
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"""
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from tensorflow.python.keras.engine import base_layer
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from tensorflow.python.util.tf_export import keras_export
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@keras_export('keras.mixed_precision.experimental.get_layer_policy', v1=[])
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def get_layer_policy(layer):
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"""Returns the dtype policy of a layer.
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Warning: This function is deprecated. Use
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`tf.keras.layers.Layer.dtype_policy` instead.
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Args:
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layer: A `tf.keras.layers.Layer`.
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Returns:
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The `tf.keras.mixed_precision.Policy` of the layer.
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"""
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if not isinstance(layer, base_layer.Layer):
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raise ValueError('get_policy can only be called on a layer, but got: %s'
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% (layer,))
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return layer.dtype_policy
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