You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
50 lines
1.7 KiB
50 lines
1.7 KiB
# Copyright 2019 The TensorFlow Authors. 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.
|
|
# ==============================================================================
|
|
"""Utilities for TPU inference."""
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
|
|
import tensorflow as tf
|
|
|
|
|
|
def bfloat16_to_float32(tensor):
|
|
"""Converts a tensor to tf.float32 only if it is tf.bfloat16."""
|
|
if tensor.dtype == tf.bfloat16:
|
|
return tf.cast(tensor, dtype=tf.float32)
|
|
else:
|
|
return tensor
|
|
|
|
|
|
def bfloat16_to_float32_nested(bfloat16_tensor_dict):
|
|
"""Converts bfloat16 tensors in a nested structure to float32.
|
|
|
|
Other tensors not of dtype bfloat16 will be left as is.
|
|
|
|
Args:
|
|
bfloat16_tensor_dict: A Python dict, values being Tensor or Python
|
|
list/tuple of Tensor.
|
|
|
|
Returns:
|
|
A Python dict with the same structure as `bfloat16_tensor_dict`,
|
|
with all bfloat16 tensors converted to float32.
|
|
"""
|
|
float32_tensor_dict = {}
|
|
for k, v in bfloat16_tensor_dict.items():
|
|
if isinstance(v, tf.Tensor):
|
|
float32_tensor_dict[k] = bfloat16_to_float32(v)
|
|
elif isinstance(v, (list, tuple)):
|
|
float32_tensor_dict[k] = [bfloat16_to_float32(t) for t in v]
|
|
return float32_tensor_dict
|