def METHOD_NAME(self):
    # Do end-to-end extraction in streaming mode.
    embedding_model = streaming.TensorflowPredictMusiCNN(
        graphFilename=self.embedding_model_name,
        output="model/dense/BiasAdd"
    )
    classification_head = streaming.TensorflowPredict2D(
        graphFilename=self.head_model_name,
        input=self.head_input_name,
        output=self.head_output_name,
    )
    pool = Pool()
    vectorInput = VectorInput(self.audio)
    vectorInput.data >> embedding_model.signal
    embedding_model.predictions >> classification_head.features
    classification_head.predictions >> (pool, "predictions")
    run(vectorInput)
    found = pool["predictions"]
    self.assertAlmostEqualMatrix(found, self.expected)