parameters: (identifier)
docstring: Retrieve a Keras initializer by the identifier.
  
    The `identifier` may be the string name of a initializers function or class (
    case-sensitively).
  
    >>> identifier = 'Ones'
    >>> tf.keras.initializers.deserialize(identifier)
    <...keras.initializers.initializers_v2.Ones...>
  
    You can also specify `config` of the initializer to this function by passing
    dict containing `class_name` and `config` as an identifier. Also note that the
    `class_name` must map to a `Initializer` class.
  
    >>> cfg = {'class_name': 'Ones', 'config': {}}
    >>> tf.keras.initializers.deserialize(cfg)
    <...keras.initializers.initializers_v2.Ones...>
  
    In the case that the `identifier` is a class, this method will return a new
    instance of the class by its constructor.
  
    Args:
      identifier: String or dict that contains the initializer name or
        configurations.
  
    Returns:
      Initializer instance base on the input identifier.
  
    Raises:
      ValueError: If the input identifier is not a supported type or in a bad
        format.
docstring_summary: Retrieve a Keras initializer by the identifier.
docstring_tokens: Retrieve a Keras initializer by the identifier .
function: def get(identifier):
    """Retrieve a Keras initializer by the identifier.
  
    The `identifier` may be the string name of a initializers function or class (
    case-sensitively).
  
    >>> identifier = 'Ones'
    >>> tf.keras.initializers.deserialize(identifier)
    <...keras.initializers.initializers_v2.Ones...>
  
    You can also specify `config` of the initializer to this function by passing
    dict containing `class_name` and `config` as an identifier. Also note that the
    `class_name` must map to a `Initializer` class.
  
    >>> cfg = {'class_name': 'Ones', 'config': {}}
    >>> tf.keras.initializers.deserialize(cfg)
    <...keras.initializers.initializers_v2.Ones...>
  
    In the case that the `identifier` is a class, this method will return a new
    instance of the class by its constructor.
  
    Args:
      identifier: String or dict that contains the initializer name or
        configurations.
  
    Returns:
      Initializer instance base on the input identifier.
  
    Raises:
      ValueError: If the input identifier is not a supported type or in a bad
        format.
    """
  
    if identifier is None:
      return None
    if isinstance(identifier, dict):
      return deserialize(identifier)
    elif isinstance(identifier, str):
      identifier = str(identifier)
      return deserialize(identifier)
    elif callable(identifier):
      if inspect.isclass(identifier):
        identifier = identifier()
      return identifier
    else:
      raise ValueError('Could not interpret initializer identifier: ' +
                       str(identifier))
function_tokens: def get ( identifier ) : if identifier is None : return None if isinstance ( identifier , dict ) : return deserialize ( identifier ) elif isinstance ( identifier , str ) : identifier = str ( identifier ) return deserialize ( identifier ) elif callable ( identifier ) : if inspect . isclass ( identifier ) : identifier = identifier ( ) return identifier else : raise ValueError ( 'Could not interpret initializer identifier: ' + str ( identifier ) )