inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, tf.initializers.global_variables(), None


if __name__ == '__main__':
  common_v1.set_tf_options()

          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


if __name__ == '__main__':
  common_v1.set_tf_options()

          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


if __name__ == '__main__':
  common_v1.set_tf_options()

          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, tf.tables_initializer(), None


if __name__ == '__main__':
  common_v1.set_tf_options()

          outputs={
              'c': tensor_info_t,
              'd': tensor_info_s,
          },
          method_name='reverse_arguments'))
  }, None, None


if __name__ == '__main__':
  common_v1.set_tf_options()

# Use /tmp to make debugging the tests easier (see README.md)
flags.DEFINE_string('save_model_path', '', 'Path to save the model to.')
FLAGS = flags.FLAGS


def set_tf_options():
  # Default TF1.x uses reference variables that are not supported by SavedModel
  # v1 Importer. To use SavedModel V1 Importer, resource variables should be
  # enabled.
  tf.enable_resource_variables()