code: def test_load_with_defaults(self, module_name, trainable):
      inputs, expected_outputs = (
          10.0,
          11.0,
      )  # Test modules perform increment op.
      path = test_utils.get_test_data_path(module_name)
      layer = hub_loader.HubKerasLayerV1V2(path, trainable=trainable)
      output = layer(inputs)
      self.assertEqual(output, expected_outputs)
  
file_path: mediapipe/mediapipe/model_maker/python/core/utils/hub_loader_test.py
imports: from absl.testing import parameterized
  import tensorflow
  from mediapipe.model_maker.python.core.utils import hub_loader
  from mediapipe.tasks.python.test import test_utils
label_desc: Use image node_id 1 for calling the HubKerasLayerV1V2Test obj's underlying member method code with example usage: obj.test_load_with_defaults(module_name, trainable) without return types