def METHOD_NAME(self):
    keras_model = WGANGP().generator_model
    x = np.random.rand(5, 100).astype(np.float32)
    expected = keras_model.predict(x)
    onnx_model = mock_keras2onnx.convert_keras(keras_model, keras_model.name)
    self.assertTrue(run_onnx_runtime(onnx_model.graph.name, onnx_model, x, expected, self.model_files))