prune_unused_nodes,     convert_legacy_fed_inputs,
      graph_as_function,      upgrade_legacy,
      enable_shape_inference, unconditionally_use_set_output_shapes,
      enable_soft_placement,  set_original_tf_func_name};

  auto module_or = tensorflow::GraphdefToMlirTranslateFunction(
      input, input_arrays, input_dtypes, input_shapes, output_arrays,
      control_output_arrays, options, context);

  // during import is not necessary.
  import_config.enable_shape_inference = false;
  import_config.xla_compile_device_type =
      function_options.xla_compile_device_type;
  import_config.enable_soft_placement = function_options.allow_soft_placement;

  static const char* kTfMlirCategory = "TfMlir";
  tensorflow::metrics::ScopedCounter<2> timings(
      tensorflow::metrics::GetGraphOptimizationCounter(),