class_docstr: TypeSpec to represent user-registered symbolic objects.
class_docstr_tok: ["TypeSpec","to","represent","user-registered","symbolic","objects","."]
code: def value_type(self):
      raise NotImplementedError
  
imports: from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import type_spec
  from tensorflow.python.keras.utils import object_identity
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.ragged import ragged_operators
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import nest
label_desc: Use image node_id 6 for calling the UserRegisteredSpec obj's underlying member method code with example usage: obj.value_type() without return types