def conv3x3(in_planes, out_planes, stride=<NUM_LIT:1>, groups=<NUM_LIT:1>, dilation=<NUM_LIT:1>):
return nn.Conv2d(in_planes, out_planes, kernel_size=<NUM_LIT:3>, stride=stride,<EOL>padding=dilation, groups=groups, bias=False, dilation=dilation)<EOL>
3x3 convolution with padding