code: def conv1x1(in_planes, out_planes, stride=1):
      """1x1 convolution"""
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=1,
          stride=stride,
          bias=False,
      )
  
imports: import numpy
  import logging
  import torch
  import torch.nn
  import torch.nn.functional
  from torchvision.models.utils import load_state_dict_from_url
label_desc: Use image node_id 2 for calling a global function with example usage: conv1x1(in_planes, out_planes, stride) and returns: nn