code: def encoder():
      return nn.Sequential(
          conv(3, 64),
          Block(64, 64),
          conv(64, 64, stride=2, bias=False),
          Block(64, 64),
          Block(64, 64),
          Block(64, 64),
          conv(64, 64, stride=2, bias=False),
          Block(64, 64),
          Block(64, 64),
          Block(64, 64),
          conv(64, 64, stride=2, bias=False),
          Block(64, 64),
          Block(64, 64),
          Block(64, 64),
          conv(64, 4),
      )
  
imports: import os
  import torch
  import torch.nn
  from modules import devices, paths_internal, shared
label_desc: Use image node_id 3 for calling a global function with example usage: encoder() and returns: nn