code: def conv3x3(in_planes, out_planes, stride=1, has_bias=False):
      "3x3 convolution with padding"
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=3,
          stride=stride,
          padding=1,
          bias=has_bias,
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .None import seg_resnet
  from .None import seg_resnext
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_planes, out_planes, stride, has_bias) and returns: nn