code: def forward(self, m):
      if self.use_aux_net:
          aux = self.resnet(m).unsqueeze(1)
          aux = self.resnet_stretch(aux)
          aux = aux.squeeze(1)
          aux = aux.transpose(1, 2)
      else:
          aux = None
      m = m.unsqueeze(1)
      for f in self.up_layers:
          m = f(m)
      m = m.squeeze(1)[:, :, self.indent : -self.indent]
      return m.transpose(1, 2), aux
  
imports: import sys
  import torch
  import torch.nn
  import numpy
  import torch.nn.functional
  import time
  from TTS.utils.audio import AudioProcessor
  from TTS.vocoder.utils.distribution import sample_from_gaussian, sample_from_discretized_mix_logistic
label_desc: Use image node_id 2 for calling the UpsampleNetwork obj's underlying member method code with example usage: obj.forward(m) and returns: m,  aux