code: def __init__(self, n_layers=18):
      super().__init__()
      assert n_layers in [18, 34, 50]
      self.model = getattr(models, "resnet{}".format(n_layers))(
          pretrained=True
      )
  
imports: from dataclasses import dataclass
  from typing import Any
  import crypten
  import torch
  import torch.nn
  from torchvision import models
label_desc: Use image node_id 1 to create a new ResNet object from inherited base classes: nn with example: obj = ResNet(n_layers)