code: def __init__(self, dims):
      super().__init__()
      self.conv1 = nn.Conv1d(dims, dims, kernel_size=1, bias=False)
      self.conv2 = nn.Conv1d(dims, dims, kernel_size=1, bias=False)
      self.batch_norm1 = nn.BatchNorm1d(dims)
      self.batch_norm2 = nn.BatchNorm1d(dims)
  
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 1 to create a new ResBlock object from inherited base classes: nn with example: obj = ResBlock(dims)