3x3 convolution with padding
(in_planes, out_planes, stride=1, groups=1, dilation=1)
| 27 | |
| 28 | |
| 29 | def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1): |
| 30 | """3x3 convolution with padding""" |
| 31 | return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, |
| 32 | padding=dilation, groups=groups, bias=False, dilation=dilation) |
| 33 | |
| 34 | |
| 35 | def conv1x1(in_planes, out_planes, stride=1): |