class_docstr: Global op dispatcher for WrappedTensor.
class_docstr_tok: ["Global","op","dispatcher","for","WrappedTensor","."]
code: def is_wrapped_tensor_arg(self, value):
      if isinstance(value, WrappedTensor):
          return True
      if isinstance(value, (list, tuple)):
          if any(isinstance(x, WrappedTensor) for x in value):
              return True
      return False
  
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 4 for calling the WrappedTensorOpDispatcher obj's underlying member method code with example usage: obj.is_wrapped_tensor_arg(value) and returns: False, True, True