code: def conv3x3(in_planes, out_planes, stride=1, padding=1, dilation=1):
      "3x3 convolution with padding"
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=3,
          stride=stride,
          padding=padding,
          dilation=dilation,
          bias=False,
      )
  
imports: import math
  import torch
  import torch.nn
  from torch.nn.parameter import Parameter
  import torch.nn.functional
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_planes, out_planes, stride, padding, dilation) and returns: nn