# CHECK-SAME:   tensor<f32> {tf_saved_model.index_path = []})
  # CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["some_function"]
  @tf.function(input_signature=[tf.TensorSpec([], tf.float32)])
  def some_function(self, x):
    return x + self.v42 + self.c43


if __name__ == '__main__':

class TestModule(tf.Module):

  @tf.function(input_signature=[
      tf.TensorSpec([], tf.float32),
      tf.TensorSpec([], tf.float32)
  ])
  def some_function(self, x, y):
    return x + y
    # Basic check that the debug info file is being correctly saved and loaded.
    #
    # CHECK: "tf.AddV2"{{.*}}loc(#loc{{[0-9]+}})
    # CHECK: "tf.Identity"{{.*}}loc(#loc{{[0-9]+}})

  return {
      'key': (tf.compat.v1.saved_model.signature_def_utils.build_signature_def(
          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


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

  signature_def = tf.saved_model.signature_def_utils.build_signature_def(
      inputs=None,
      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()

  signature_def = tf.saved_model.signature_def_utils.build_signature_def(
      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()

  return {
      'key': (tf.compat.v1.saved_model.signature_def_utils.build_signature_def(
          inputs=None,
          outputs={'z': tensor_info_z},
          method_name='some_function'))
  }, None, None


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

  return {
      'key': (tf.compat.v1.saved_model.signature_def_utils.build_signature_def(
          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


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

  signature_def = tf.saved_model.signature_def_utils.build_signature_def(
      inputs={'x': tensor_info_x},
      outputs={'r': tensor_info_r},
      method_name='some_function')
  signature_def2 = tf.saved_model.signature_def_utils.build_signature_def(
      inputs={'x': tensor_info_x},
      outputs={'r': tensor_info_r},
      method_name='some_other_function')

  return {
      'key': (tf.compat.v1.saved_model.signature_def_utils.build_signature_def(
          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


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

  return {
      'key': (tf.compat.v1.saved_model.signature_def_utils.build_signature_def(
          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


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