docstr: 3x3 convolution with padding
docstr_tok: ["3x3","convolution","with","padding"]
code: def _conv3x3(self, in_planes, out_planes, stride=1):
      "3x3 convolution with padding"
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=3,
          stride=stride,
          padding=1,
          bias=False,
      )
  
imports: import torch
  import torch.nn
  import torch.nn.init
  import torchvision
  from torchvision import models
  from collections import namedtuple
  from packaging import version
label_desc: Use image node_id 2 for calling the BasicBlock obj's underlying member method code with example usage: obj._conv3x3(in_planes, out_planes, stride) and returns: nn