class_docstr: A Python callable for functions in the TF Runtime.
  
  Provides core functionality for tf.function including:
    - automatic lifecycle management of runtime functions
    - structured inputs (including captures) and structured outputs
    - calls from both eager and graph mode
    - dependency tracking of children functions
    - runtime error interpolation to identify user code stack traces
    - control dependencies (including automatic)
code: def __repr__(self):
      return (
          f"AtomicFunction(name={self.name},\n"
          f"bound_context={self._bound_context},\n"
          f"function_type={self.function_type!r},\n"
          f"children={self._children!s},\n"
          f"call_options={self._call_options},\n"
          f"cached_graph={self._cached_graph})"
      )
  
imports: import dataclasses
  import traceback
  import typing
  from typing import Any, Dict, List, Optional, Sequence, Union
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.core.framework import function_pb2
  from tensorflow.core.framework import graph_debug_info_pb2
  from tensorflow.core.function.polymorphism import function_type
  from tensorflow.python.client import pywrap_tf_session
  from tensorflow.python.eager import context
  from tensorflow.python.eager import record
  from tensorflow.python.eager.polymorphic_function import attributes
  from tensorflow.python.eager.polymorphic_function import function_type_utils
  from tensorflow.python.framework import auto_control_deps_utils
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import error_interpolation
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import function_def_to_graph
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import handle_data_util
  from tensorflow.python.types import core
  from tensorflow.python.util import compat
  from tensorflow.python.util import function_utils
  from tensorflow.python.util import tf_stack
label_desc: Use image node_id 19 for calling the AtomicFunction obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str, self, str, self, str, self, str, self, str