| # 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) |