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: from collections import OrderedDict
  import torch
  from torch import nn
  from torch.jit.annotations import Dict
  from torch.nn import functional
label_desc: Use image node_id 2 for calling a global function with example usage: conv1x1(in_planes, out_planes, stride) and returns: nn