code: def testRegression(self):
      # Hardcoded analysis parameters
      sampleRate = 16000
      frameSize = 512
      hopSize = 256
  
      audio = MonoLoader(
          filename=join(testdata.audio_dir, "recorded/vignesh.wav"),
          sampleRate=sampleRate,
      )()
  
      expected = [
          0.60742337,
          0.30574673,
          0.45560792,
          1.256332,
          2.4021673,
          3.4365354,
          3.619476,
          3.0021546,
          2.1846066,
          1.5598421,
          1.4810421,
          2.2823677,
          2.679103,
          2.86526,
          2.6989846,
          2.2553382,
          2.219071,
          2.3255587,
          2.8502884,
          2.9091403,
          2.7634032,
          2.4637504,
          1.8271459,
          1.522163,
          1.7100089,
          1.8728845,
          1.6959977,
          1.3508593,
          0.9608341,
          0.9133418,
          1.0304681,
          1.493988,
          1.6636051,
          1.4825928,
          1.1171728,
          0.93050385,
          1.2989489,
          1.7412357,
          1.7828379,
          1.5357956,
          1.0274258,
          1.4541839,
          1.8527577,
          1.8838495,
          1.4812496,
          1.4385983,
          2.1568356,
          2.3677773,
          1.9438239,
          1.5913178,
          1.8563453,
          1.7012404,
          1.1431638,
          1.0995349,
          1.1092283,
          0.74655735,
          0.6698305,
          0.7290597,
          0.47290954,
          0.64479357,
          0.7136836,
          0.9934933,
          1.3321629,
          1.1683794,
          1.2097421,
          1.1075293,
          1.0301174,
          0.9288259,
          0.8876033,
          0.8086145,
          0.9854008,
          1.0852002,
          1.2092237,
          1.2816739,
          1.2066866,
          0.52382684,
          0.1494276,
          0.08070073,
          0.09443883,
          0.12541461,
          0.11942478,
          0.1558171,
          0.17869301,
          0.36044103,
          0.5242918,
          0.7467586,
          0.8322874,
          0.7977463,
          0.8188014,
          0.80939233,
          0.74459517,
          0.5341967,
          0.4339693,
          0.33098528,
          0.10355855,
          0.00549104,
      ]
  
      tfmf = TensorflowInputMusiCNN()
      frames = [
          tfmf(frame)
          for frame in FrameGenerator(
              audio, frameSize=frameSize, hopSize=hopSize
          )
      ]
      obtained = numpy.mean(array(frames), axis=0)
  
      self.assertAlmostEqualVector(obtained, expected, 1e-2)
  
imports: from essentia_test import *
  import numpy
label_desc: Use image node_id 2 for calling the TestTensorflowInputMusiCNN obj's underlying member method code with example usage: obj.testRegression() without return types