class_docstr: Raised when an operation has not been implemented.
  
  Some operations may raise this error when passed otherwise-valid
  arguments that it does not currently support. For example, running
  the @{tf.nn.max_pool} operation
  would raise this error if pooling was requested on the batch dimension,
  because this is not yet supported.
  
  @@__init__
class_docstr_tok: ["Raised","when","an","operation","has","not","been","implemented",".","Some","operations","may","raise","this","error","when","passed","otherwise-valid","arguments","that","it","does","not","currently","support",".","For","example",",","running","the","@","{","tf.nn.max_pool","}","operation","would","raise","this","error","if","pooling","was","requested","on","the","batch","dimension",",","because","this","is","not","yet","supported",".","@","@","__init__"]
docstr: Creates an `UnimplementedError`.
docstr_tok: ["Creates","an","`","UnimplementedError","`","."]
code: def __init__(self, node_def, op, message):
      """Creates an `UnimplementedError`."""
      super().__init__(node_def, op, message, UNIMPLEMENTED)
  
imports: import traceback
  import warnings
  from .None import error_codes
label_desc: Use image node_id 1 to create a new UnimplementedError object from inherited base classes: OpError with example: obj = UnimplementedError(node_def, op, message)