code: def resnet18_QAT_4b(*args, **kwargs):
      return _resnet_QAT_Xb(
          BasicBlock, [2, 2, 2, 2], bit_width=4, **kwargs
      )
  
imports: import os
  from pathlib import Path
  import brevitas.nn
  import torch
  import torch.nn
  from pact import PACTReLU
  from torchvision import datasets, models
  from torchvision.transforms import Compose, Normalize, Pad, RandomCrop, RandomHorizontalFlip, ToTensor
label_desc: Use image node_id 10 for calling a global function with example usage: resnet18_QAT_4b() and returns: _resnet_QAT_Xb