code: def testImportWithControlRet(self):
      @def_function.function
      def logging():
          logging_ops.print_v2("some message")
  
      concrete_function = logging.get_concrete_function()
      mlir_module = mlir.convert_function(
          concrete_function, pass_pipeline=""
      )
      self.assertRegex(mlir_module, r"tf\.PrintV2")
      self.assertRegex(
          mlir_module, r"tf_executor.fetch.*: !tf_executor.control"
      )
  
imports: import os
  from tensorflow.python.compiler.mlir import mlir
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import logging_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.platform import test
  from tensorflow.python.pywrap_mlir import experimental_tflite_to_tosa_bytecode
  from tensorflow.python.pywrap_mlir import import_graphdef
label_desc: Use image node_id 3 for calling the MLIRConcreteFunctionImportTest obj's underlying member method code with example usage: obj.testImportWithControlRet() without return types