code: def _resnet_QAT_Xb(block, layers, **kwargs):
      model = ResNet_QAT_Xb(block, layers, **kwargs)
      return model
  
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 6 for calling a global function with example usage: _resnet_QAT_Xb(block, layers) and returns: model