STT-tensorflow/tensorflow/python/eager/backprop_util.py

34 lines
1.3 KiB
Python

# Copyright 2015 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.
# ==============================================================================
"""Shared utilities related to backprop."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import tensor_util
def IsTrainable(tensor_or_dtype):
if tensor_util.is_tensor(tensor_or_dtype):
dtype = tensor_or_dtype.dtype
else:
dtype = tensor_or_dtype
dtype = dtypes.as_dtype(dtype)
return dtype.base_dtype in (dtypes.float16, dtypes.float32, dtypes.float64,
dtypes.complex64, dtypes.complex128,
dtypes.resource, dtypes.variant, dtypes.bfloat16)