def METHOD_NAME(self):
    keras_model = DiscoGAN().combined
    batch = 5
    x = np.random.rand(batch, 128, 128, 3).astype(np.float32)
    y = np.random.rand(batch, 128, 128, 3).astype(np.float32)
    expected = keras_model.predict([x, y])
    onnx_model = mock_keras2onnx.convert_keras(keras_model, keras_model.name)
    self.assertTrue(run_onnx_runtime(onnx_model.graph.name, onnx_model, {keras_model.input_names[0]: x, keras_model.input_names[1]: y}, expected, self.model_files, rtol=1.e-2, atol=1.e-2))