3x3 convolution with padding
(in_planes, out_planes, stride=1, dilation=1)
| 15 | |
| 16 | |
| 17 | def conv3x3(in_planes, out_planes, stride=1, dilation=1): |
| 18 | """3x3 convolution with padding""" |
| 19 | # original padding is 1; original dilation is 1 |
| 20 | return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, |
| 21 | padding=dilation, bias=False, dilation=dilation) |
| 22 | |
| 23 | |
| 24 | class BasicBlock(nn.Module): |