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| 1 | +# coding=utf-8 |
| 2 | +# Copyright 2018 The TensorFlow Authors. All Rights Reserved. |
| 3 | +# |
| 4 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | +# you may not use this file except in compliance with the License. |
| 6 | +# You may obtain a copy of the License at |
| 7 | +# |
| 8 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | +# |
| 10 | +# Unless required by applicable law or agreed to in writing, software |
| 11 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 13 | +# See the License for the specific language governing permissions and |
| 14 | +# limitations under the License. |
| 15 | + |
| 16 | +import tensorflow as tf |
| 17 | +import numpy as np |
| 18 | + |
| 19 | +def float32_variable_storage_getter(getter, name, shape=None, dtype=None, |
| 20 | + initializer=None, regularizer=None, |
| 21 | + trainable=True, |
| 22 | + *args, **kwargs): |
| 23 | + """Custom variable getter that forces trainable variables to be stored in |
| 24 | + float32 precision and then casts them to the training precision. |
| 25 | + """ |
| 26 | + storage_dtype = tf.float32 if trainable else dtype |
| 27 | + variable = getter(name, shape, dtype=storage_dtype, |
| 28 | + initializer=initializer, regularizer=regularizer, |
| 29 | + trainable=trainable, |
| 30 | + *args, **kwargs) |
| 31 | + if trainable and dtype != tf.float32: |
| 32 | + variable = tf.cast(variable, dtype) |
| 33 | + return variable |
| 34 | + |
| 35 | +def get_custom_getter(compute_type): |
| 36 | + return float32_variable_storage_getter if compute_type == tf.float16 else None |
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