def METHOD_NAME(self, frameSize=1024, hopSize=512, patchSize=187,
                      lastPatchMode='discard', accumulate=False):
    batchHopSize = -1 if accumulate else 1
    filename = join(testdata.audio_dir, 'recorded', 'cat_purrrr.wav')
    namespace='tensor'
    ml = MonoLoader(filename=filename)
    fc = FrameCutter(frameSize=frameSize, hopSize=hopSize)
    vtt = VectorRealToTensor(shape=[1, 1, patchSize, frameSize],
                             lastPatchMode=lastPatchMode)
    ttp = TensorToPool(namespace=namespace)
    ptt = PoolToTensor(namespace=namespace)
    ttv = TensorToVectorReal()
    pool = Pool()
    ml.audio   >> fc.signal
    fc.frame   >> vtt.frame
    fc.frame   >> (pool, "framesIn")
    vtt.tensor >> ttp.tensor
    ttp.pool   >> ptt.pool
    ptt.tensor >> ttv.tensor
    ttv.frame  >> (pool, "framesOut")
    run(ml)
    return pool['framesOut'], pool['framesIn']