code: def get_op_and_outputs(op_or_outputs):
      if isinstance(op_or_outputs, ops.Operation):
          return op_or_outputs, []
      elif not op_or_outputs:  # Empty list.
          return None, []
      else:
          return op_or_outputs[0].op, op_or_outputs
  
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 14 for calling a global function with example usage: get_op_and_outputs(op_or_outputs) and returns: op_or_outputs,  list, None,  list, op_or_outputs,  op_or_outputs