(in_planes, out_planes, kernel_size=3, stride=1, padding=1, dilation=1)
| 24 | |
| 25 | |
| 26 | def conv(in_planes, out_planes, kernel_size=3, stride=1, padding=1, dilation=1): |
| 27 | return nn.Sequential( |
| 28 | nn.Conv2d(in_planes, out_planes, kernel_size=kernel_size, stride=stride, |
| 29 | padding=padding, dilation=dilation, bias=True), |
| 30 | nn.PReLU(out_planes) |
| 31 | ) |
| 32 | |
| 33 | |
| 34 | class IFBlock(nn.Module): |