code: def forward(self, x):
      scores = []
      feats = []
      for d in self.discriminators:
          score, feat = d(x)
          scores.append(score)
          feats.append(feat)
  
      return scores, feats
  
file_path: TTS/TTS/vocoder/models/univnet_discriminator.py
imports: import torch
  import torch.nn.functional
  from torch import nn
  from torch.nn.utils import spectral_norm
  from torch.nn.utils.parametrizations import weight_norm
  from TTS.utils.audio.torch_transforms import TorchSTFT
  from TTS.vocoder.models.hifigan_discriminator import MultiPeriodDiscriminator
label_desc: Use image node_id 2 for calling the MultiResSpecDiscriminator obj's underlying member method code with example usage: obj.forward(x) and returns: scores,  feats