code: def __init__(self, chan, conv, activation):
      super().__init__()
      self.net = nn.Sequential(
          conv(chan, chan, 3, padding=1),
          activation(),
          conv(chan, chan, 3, padding=1),
          activation(),
          conv(chan, chan, 1),
      )
  
imports: import functools
  from math import sqrt
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  import torchaudio
  from einops import rearrange
label_desc: Use image node_id 1 to create a new ResBlock object from inherited base classes: nn with example: obj = ResBlock(chan, conv, activation)