specs.unconditionally_use_set_output_shapes =
      import_options.unconditionally_use_set_output_shapes;
  specs.xla_compile_device_type = import_options.xla_compile_device_type;
  specs.enable_soft_placement = import_options.enable_soft_placement;
  specs.set_original_tf_func_name = import_options.set_original_tf_func_name;
  TF_RETURN_IF_ERROR(ParseInputArrayInfo(input_arrays, input_dtypes,

  // 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(),

      /*convert_legacy_fed_inputs=*/true,
      /*graph_as_function=*/false,
      specs.upgrade_legacy,
      /*enable_shape_inference=*/false,
      /*unconditionally_use_set_output_shapes=*/true,
      /*enable_soft_placement=*/false};

  if (use_splatted_constant) {
    return GraphdefToSplattedMlirTranslateFunction(
        file->getBuffer(), input_arrays, input_dtypes, input_shapes,