outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, tf.tables_initializer(), tf.get_collection(tf.GraphKeys.ASSET_FILEPATHS)


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

              'y': tensor_info_y
          },
          outputs={'z': tensor_info_z},
          method_name='test_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()

      outputs={'result': tensor_info_result},
      method_name='some_function')

  return {'key_1': signature_def, 'key_2': signature_def}, None, None


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

  # Create two signatures that share the same variable.
  return {'key': signature_def, 'key2': signature_def2}, None, None


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

                  method_name='some_function',
              )
          )
      },
      tf.initializers.global_variables(),
      None,
  )


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

      inputs=None,
      outputs={'result': tensor_info_result},
      method_name='some_function')

  return {'key': signature_def}, 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()

      method_name='some_other_function')

  # Create two signatures that share the same variable.
  return {'key': signature_def, 'key2': signature_def2}, None, None


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

          inputs=None,
          outputs={'z': tensor_info_z},
          method_name='some_function'))
  }, None, None


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