class_docstr: Represents the type of a TensorFlow callable.
  
  FunctionType inherits from inspect.Signature which canonically represents the
  structure (and optionally type) information of input parameters and output of
  a Python function. Additionally, it integrates with the tf.function type
  system (`tf.types.experimental.TraceType`) to provide a holistic
  representation of the the I/O contract of the callable. It is used for:
    - Canonicalization and type-checking of Python input arguments
    - Type-based dispatch to concrete functions
    - Packing/unpacking structured python values to Tensors
    - Generation of structured placeholder values for tracing
code: def from_callable(cls, obj, *, follow_wrapped=True):
      return super().from_callable(obj, follow_wrapped=follow_wrapped)
  
imports: import abc
  import inspect
  import sys
  import textwrap
  from typing import Union
  import numpy
  from tensorflow.python.types import doc_typealias
  from tensorflow.python import pywrap_tensorflow
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling the FunctionType obj's underlying member method code with example usage: obj.from_callable(cls, obj) and returns: super