code: def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
      """3x3 convolution with padding"""
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=3,
          stride=stride,
          padding=dilation,
          groups=groups,
          bias=False,
          dilation=dilation,
      )
  
imports: import functools
  import torch
  import torch.distributed
  from torch import nn
  from apex import check_cudnn_version_and_warn
  import fast_bottleneck
  import nccl_p2p_cuda
label_desc: Use image node_id 6 for calling a global function with example usage: conv3x3(in_planes, out_planes, stride, groups, dilation) and returns: nn