def METHOD_NAME(self):
    expected = [0.49044114, 0.50241125]
    filename = join(testdata.audio_dir, 'recorded', 'hiphop.mp3')
    model = join(testdata.models_dir, 'vggish', 'small_vggish_init')
    audio = MonoLoader(filename=filename, sampleRate=16000)()
    found = TensorflowPredictVGGish(savedModel=model, patchHopSize=0)(audio)
    found = numpy.mean(found, axis=0)
    # Setting a high tolerance value due to the mismatch between the
    # original and replicated features. However, they are close enough to
    # make valid predictions.
    self.assertAlmostEqualVector(found, expected, 1e-2)