Res2Net/Res2Net-PretrainedModels

代码中的残差结构和图像中不一致

VagoLapis opened this issue · 1 comments

代码:
spx = torch.split(out, self.width, 1)
for i in range(self.nums):
if i==0 or self.stype=='stage':
sp = spx[i]
else:
sp = sp + spx[i]
sp = self.convsi
sp = self.relu(self.bnsi)
if i==0:
out = sp
else:
out = torch.cat((out, sp), 1)
这种写法应该是X1到X2也有一条残差吧,如下图中的红线: