def forward(self, x):
x_size = x.size()
x = self.layer0(x)
x = self.layer1(x)
x = self.layer2(x)
x = self.layer3(x)
if self.training and self.use_aux:
aux = self.aux_logits(x)
x = self.layer4(x)
x = self.ppm(x)
x = self.final(x)
if self.training and self.use_aux:
return F.upsample(x, x_size[2:], mode='bilinear'), F.upsample(aux, x_size[2:], mode='bilinear')
return F.upsample(x, x_size[2:], mode='bilinear')
# just a try, not recommend to use
psp_net.py 文件源码
python
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