37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
# coding=utf-8
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# Copyright 2018 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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import tensorflow as tf
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import numpy as np
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def float32_variable_storage_getter(getter, name, shape=None, dtype=None,
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initializer=None, regularizer=None,
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trainable=True,
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*args, **kwargs):
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"""Custom variable getter that forces trainable variables to be stored in
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float32 precision and then casts them to the training precision.
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"""
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storage_dtype = tf.float32 if trainable else dtype
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variable = getter(name, shape, dtype=storage_dtype,
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initializer=initializer, regularizer=regularizer,
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trainable=trainable,
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*args, **kwargs)
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if trainable and dtype != tf.float32:
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variable = tf.cast(variable, dtype)
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return variable
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def get_custom_getter(compute_type):
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return float32_variable_storage_getter if compute_type == tf.float16 else None
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