code: def forward(self, x):
      feats = []
      for layer in self.layers:
          x = layer(x)
          feats.append(x)
      return x, feats
  
imports: import numpy
  from torch import nn
  from torch.nn.utils import weight_norm
label_desc: Use image node_id 2 for calling the MelganDiscriminator obj's underlying member method code with example usage: obj.forward(x) and returns: x,  feats