code: def forward(self, fake_feats, real_feats):
      loss_feats = 0
      for fake_feat, real_feat in zip(fake_feats, real_feats):
          loss_feats += self.loss_func(fake_feat, real_feat)
      loss_feats /= len(fake_feats) + len(real_feats)
      return loss_feats
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the MelganFeatureLoss obj's underlying member method code with example usage: obj.forward(fake_feats, real_feats) and returns: loss_feats