code: def _create_grad_func(func_graph, grads, name):
      """Returns the FuncGraph representation of _grad_fn."""
      return func_graph_module.func_graph_from_py_func(
          name,
          lambda: _grad_fn(func_graph, grads),
          [],
          {},
          func_graph=_CondGradFuncGraph(name, func_graph),
      )
  
imports: import collections
  from tensorflow.core.framework import types_pb2
  from tensorflow.python.eager import backprop_util
  from tensorflow.python.framework import auto_control_deps
  from tensorflow.python.framework import auto_control_deps_utils
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import none_tensor
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import control_flow_util_v2
  from tensorflow.python.ops import default_gradient
  from tensorflow.python.ops import gen_functional_ops
  from tensorflow.python.ops import gen_optional_ops
  from tensorflow.python.ops import gradients_util
  from tensorflow.python.ops import handle_data_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 10 for calling a global function with example usage: _create_grad_func(func_graph, grads, name) and returns: func_graph_module