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- # coding=utf-8
- # Copyright 2018 The Google AI Language Team Authors.
- # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- import tensorflow as tf
- import numpy as np
- def float32_variable_storage_getter(getter, name, shape=None, dtype=None,
- initializer=None, regularizer=None,
- trainable=True,
- *args, **kwargs):
- """Custom variable getter that forces trainable variables to be stored in
- float32 precision and then casts them to the training precision.
- """
- storage_dtype = tf.float32 if trainable else dtype
- variable = getter(name, shape, dtype=storage_dtype,
- initializer=initializer, regularizer=regularizer,
- trainable=trainable,
- *args, **kwargs)
- if trainable and dtype != tf.float32:
- variable = tf.cast(variable, dtype)
- return variable
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