code: def forward(self, x):
      x = self.conv_in(x)
      x = self.batch_norm(x)
      x = F.relu(x)
      for f in self.layers:
          x = f(x)
      x = self.conv_out(x)
      return x
  
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 MelResNet obj's underlying member method code with example usage: obj.forward(x) and returns: x