old_contents: # 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)
  
new_contents: # 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)
  
subject: Mark bfloat16 as trainable.