code: def forward(self, x):
      scores = list()
      feats = list()
      for disc in self.discriminators:
          score, feat = disc(x)
          scores.append(score)
          feats.append(feat)
          x = self.pooling(x)
      return scores, feats
  
imports: from torch import nn
  from TTS.vocoder.models.melgan_discriminator import MelganDiscriminator
label_desc: Use image node_id 2 for calling the MelganMultiscaleDiscriminator obj's underlying member method code with example usage: obj.forward(x) and returns: scores,  feats