code: def conv3x3(in_channels, out_channels, **kwargs):
      return nn.Sequential(
          nn.Conv2d(
              in_channels,
              out_channels,
              kernel_size=3,
              padding=1,
              **kwargs,
          ),
          nn.BatchNorm2d(out_channels),
          nn.ReLU(),
          nn.MaxPool2d(2),
      )
  
imports: import torch.nn
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_channels, out_channels) and returns: nn