class_docstr: Global op dispatcher for WrappedTensor.
class_docstr_tok: ["Global","op","dispatcher","for","WrappedTensor","."]
code: def handle(self, op, args, kwargs):
      # Dispatcher only applies if at least one arg is a WrappedTensor.
      if not (
          any(self.is_wrapped_tensor_arg(x) for x in args)
          or any(self.is_wrapped_tensor_arg(x) for x in kwargs.values())
      ):
          return self.NOT_SUPPORTED
  
      args = [self.unwrap(v) for v in args]
      kwargs = dict([(k, self.unwrap(v)) for (k, v) in kwargs.items()])
      value = self.call_op(op, *args, **kwargs)
      if op in self.OPS_THAT_RETURN_UNTRACED_RESULTS:
          return value
      else:
          return WrappedTensor(value)
  
imports: from absl.testing import parameterized
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import extension_type
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_test_ops
  from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensor
  from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensorSpec
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import dispatch
label_desc: Use image node_id 2 for calling the WrappedTensorOpDispatcher obj's underlying member method code with example usage: obj.handle(op, args, kwargs) and returns: self, value, WrappedTensor