class_docstr: Wrapper class for a function that has been restored from saved state.
  
  See `def_function.Function`.
class_docstr_tok: ["Wrapper","class","for","a","function","that","has","been","restored","from","saved","state",".","See","`","def_function.Function","`","."]
code: def _run_functions_eagerly(self):
      # We do not have access to the original python function, and thus, we
      # cannot meaningfully do anything but call our concrete function graphs
      # under the hood.
      #
      # Attempting to call our bespoke python function (i.e.
      # `restored_function_body`) will work so long as the user passes in all
      # required and optional arguments. If an optional argument is missing,
      # however, the call will break. For this reason, we instead skip the
      # eager call path altogether if a user has enabled eager function execution
      # via `tf.config.run_functions_eagerly`.
      return False
  
imports: import collections
  import pprint
  import re
  from absl import logging
  from tensorflow.core.function import trace_type
  from tensorflow.core.function.polymorphism import function_type
  from tensorflow.core.protobuf import saved_object_graph_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import function
  from tensorflow.python.eager.polymorphic_function import function_type_utils
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import function_def_to_graph
  from tensorflow.python.framework import op_def_registry
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import default_gradient
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.util import compat
  from tensorflow.python.util import nest
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 2 for calling the RestoredFunction obj's underlying member method code with example usage: obj._run_functions_eagerly() and returns: False