code: def conv1x1(in_planes, out_planes, stride=1, weight_bit_width=8):
      """1x1 convolution"""
      return qnn.QuantConv2d(
          in_planes,
          out_planes,
          kernel_size=1,
          stride=stride,
          bias=False,
          weight_bit_width=weight_bit_width,
      )
  
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 4 for calling a global function with example usage: conv1x1(in_planes, out_planes, stride, weight_bit_width) and returns: qnn