def conv3x3(in_channels, out_channels, stride=<NUM_LIT:1>):
return nn.Conv2d(in_channels, out_channels, kernel_size=<NUM_LIT:3>, stride=stride, padding=<NUM_LIT:1>, bias=False)<EOL>
3x3 convolution with padding.
Original code has had bias turned off, because Batch Norm would remove the bias either way