parameters: (tensor)
return_statement: return True
docstring: Checks if the given tensor is an identity op returned by `subscribe()`.
  
    Args:
      tensor: A `tf.Tensor` to check.
    Returns:
      True if the given tensor matches the criteria for subscription identies:
      its op type is `Identity`, its name matches the name of its input and
      conforms to the convention for subscribed nodes.
      False otherwise.
docstring_summary: Checks if the given tensor is an identity op returned by `subscribe()`.
docstring_tokens: Checks if the given tensor is an identity op returned by subscribe () .
function: def _is_subscribed_identity(tensor):
    """Checks if the given tensor is an identity op returned by `subscribe()`.
  
    Args:
      tensor: A `tf.Tensor` to check.
    Returns:
      True if the given tensor matches the criteria for subscription identies:
      its op type is `Identity`, its name matches the name of its input and
      conforms to the convention for subscribed nodes.
      False otherwise.
    """
    # Subscribed tensor are assumed to be identity ops.
    if tensor.op.type != 'Identity':
      return False
  
    # Check that the tensor name matches the convention in place for identity ops
    # created by subscribe().
    match = re.match(
        r'(?P<prefix_name>^.*?)/subscription/Identity[^/]+', tensor.name)
    if match is None or len(match.groups()) != 1:
      return False
    prefix_name = match.group('prefix_name')
  
    # Get a reference to the source tensor and check that it has a matching name.
    assert len(tensor.op.inputs) == 1, 'Op {} must only have one input'.format(
        tensor.op.name)
    source_tensor = tensor.op.inputs[0]
    if prefix_name != source_tensor.op.name:
      return False
  
    return True
function_tokens: def _is_subscribed_identity ( tensor ) : # Subscribed tensor are assumed to be identity ops. if tensor . op . type != 'Identity' : return False # Check that the tensor name matches the convention in place for identity ops # created by subscribe(). match = re . match ( r'(?P<prefix_name>^.*?)/subscription/Identity[^/]+' , tensor . name ) if match is None or len ( match . groups ( ) ) != 1 : return False prefix_name = match . group ( 'prefix_name' ) # Get a reference to the source tensor and check that it has a matching name. assert len ( tensor . op . inputs ) == 1 , 'Op {} must only have one input' . format ( tensor . op . name ) source_tensor = tensor . op . inputs [ 0 ] if prefix_name != source_tensor . op . name : return False return True