class_docstr: Abstract base class for TensorFlow operator dispatchers.
  
  Each operation dispatcher acts as an override handler for a single
  TensorFlow operation, and its results are used when the handler indicates
  that it can handle the operation's arguments (by returning any value other
  than `OpDispatcher.NOT_SUPPORTED`).
class_docstr_tok: ["Abstract","base","class","for","TensorFlow","operator","dispatchers",".","Each","operation","dispatcher","acts","as","an","override","handler","for","a","single","TensorFlow","operation",",","and","its","results","are","used","when","the","handler","indicates","that","it","can","handle","the","operation","'s","arguments","(","by","returning","any","value","other","than","`","OpDispatcher.NOT_SUPPORTED","`",")","."]
docstr: Handle this dispatcher's operation with the specified arguments.
  
  If this operation dispatcher can handle the given arguments, then
  return an appropriate value (or raise an appropriate exception).
  
  Args:
    args: The arguments to the operation.
    kwargs: They keyword arguments to the operation.
  
  Returns:
    The result of the operation, or `OpDispatcher.NOT_SUPPORTED` if this
    dispatcher can not handle the given arguments.
docstr_tok: ["Handle","this","dispatcher","'s","operation","with","the","specified","arguments",".","If","this","operation","dispatcher","can","handle","the","given","arguments",",","then","return","an","appropriate","value","(","or","raise","an","appropriate","exception",")",".","Args",":","args",":","The","arguments","to","the","operation",".","kwargs",":","They","keyword","arguments","to","the","operation",".","Returns",":","The","result","of","the","operation",",","or","`","OpDispatcher.NOT_SUPPORTED","`","if","this","dispatcher","can","not","handle","the","given","arguments","."]
code: def handle(self, args, kwargs):  # pylint: disable=unused-argument
      """Handle this dispatcher's operation with the specified arguments.
  
      If this operation dispatcher can handle the given arguments, then
      return an appropriate value (or raise an appropriate exception).
  
      Args:
        args: The arguments to the operation.
        kwargs: They keyword arguments to the operation.
  
      Returns:
        The result of the operation, or `OpDispatcher.NOT_SUPPORTED` if this
        dispatcher can not handle the given arguments.
      """
      return self.NOT_SUPPORTED
  
imports: import collections
  import itertools
  import typing
  from tensorflow.python.framework import _pywrap_python_api_dispatcher
  from tensorflow.python.framework import ops
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_export
  from tensorflow.python.util import tf_inspect
  from tensorflow.python.util import traceback_utils
  from tensorflow.python.util import type_annotations
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling the OpDispatcher obj's underlying member method code with example usage: obj.handle(args, kwargs) and returns: self