code: def unique_fn_name(scope, name):
      """Returns a unique name to use for a control flow function.
  
      Args:
        scope: A name scope string.
        name: An identifier for this function (e.g. "true", "body").
  
      Returns:
        A string, the name to use for the function.
      """
      return ("%s%s_%s" % (scope, name, ops.uid())).replace("/", "_")
  
imports: from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager.polymorphic_function import atomic_function
  from tensorflow.python.eager.polymorphic_function import concrete_function
  from tensorflow.python.eager.polymorphic_function import tracing_compilation
  from tensorflow.python.eager.polymorphic_function import transform
  from tensorflow.python.framework import function_def_to_graph
  from tensorflow.python.framework import ops
  from tensorflow.python.framework.func_graph import FuncGraph
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import control_flow_v2_func_graphs
  from tensorflow.python.ops import gradients_util
  from tensorflow.python.util import keras_deps
  from tensorflow.python.util import tf_contextlib
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 4 for calling a global function with example usage: unique_fn_name(scope, name) and returns: unknown