code: def conv3x3(in_channels, out_channels, **kwargs):
      """Return a 3x3 convolutional layer for SubNet."""
      layer = nn.Conv2d(
          in_channels, out_channels, kernel_size=3, **kwargs
      )
      layer = init_conv_weights(layer)
  
      return layer
  
imports: import pytest
  import wandb
label_desc: Use image node_id 3 for calling a global function with example usage: conv3x3(in_channels, out_channels) and returns: layer