code: def forward(self, x):
      residual = x
      x = self.conv1(x)
      x = self.batch_norm1(x)
      x = F.relu(x)
      x = self.conv2(x)
      x = self.batch_norm2(x)
      return x + residual
  
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 ResBlock obj's underlying member method code with example usage: obj.forward(x) and returns: unknown