code: def test_tf_keras_model(dummy_tf_models):
      DummyTFModel, *_ = dummy_tf_models
      model = DummyTFModel(
          asset_path=os.path.join(
              TEST_DIR, "testdata", "dummy_tf_model", "0.0"
          ),
          model_settings={
              "output_dtypes": {"lambda": np.float32},
              "output_tensor_mapping": {"lambda": "nothing"},
              "output_shapes": {"lambda": (3, 2, 1)},
          },
      )
      assert model.get_keras_model()
  
imports: import os
  import pytest
  import requests
  from modelkit import ModelLibrary, testing
  from modelkit.core.models.tensorflow_model import AsyncTensorflowModel, TensorflowModel, has_tensorflow
  from modelkit.core.settings import LibrarySettings
  from modelkit.testing import tf_serving_fixture
  from modelkit.utils.tensorflow import write_config
  from tests import TEST_DIR
  from tests.conftest import skip_unless
label_desc: Use image node_id 3 for calling a global function with example usage: test_tf_keras_model(dummy_tf_models) without return types