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.
  # ==============================================================================
  
  """Global registry for OpDefs."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.core.framework import op_def_pb2
  
  
  _registered_ops = {}
  
  
  def register_op_list(op_list):
    """Register all the ops in an op_def_pb2.OpList."""
    if not isinstance(op_list, op_def_pb2.OpList):
      raise TypeError("%s is %s, not an op_def_pb2.OpList" %
                      (op_list, type(op_list)))
    for op_def in op_list.op:
      if op_def.name in _registered_ops:
        assert _registered_ops[op_def.name] == op_def
      else:
        _registered_ops[op_def.name] = op_def
  
  
  def get_registered_ops():
    """Returns a dictionary mapping names to OpDefs."""
    return _registered_ops
  
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.
  # ==============================================================================
  
  """Global registry for OpDefs."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.core.framework import op_def_pb2
  
  
  _registered_ops = {}
  
  
  def register_op_list(op_list):
    """Register all the ops in an op_def_pb2.OpList."""
    if not isinstance(op_list, op_def_pb2.OpList):
      raise TypeError("%s is %s, not an op_def_pb2.OpList" %
                      (op_list, type(op_list)))
    for op_def in op_list.op:
      if op_def.name in _registered_ops:
        if _registered_ops[op_def.name] != op_def:
          raise ValueError(
              "Registered op_def for %s (%s) not equal to op_def to register (%s)"
              % (op_def.name, _registered_ops[op_def.name], op_def))
      else:
        _registered_ops[op_def.name] = op_def
  
  
  def get_registered_ops():
    """Returns a dictionary mapping names to OpDefs."""
    return _registered_ops
  
subject: Improve error message when op_def to register does not match the currently registered op_def.