So my model looks like this:

```
class ResNet50(nn.Module):
def __init__(self, **kwargs):
super(ResNet50,self).__init__()
resnet50 = torchvision.models.resnet50(pretrained=True)
self.base= nn.Sequential(*list(resnet50.children())[:-2])
setattr(self,"fc0", nn.Linear(2048,751))
setattr(self,"fc1", nn.Linear(2048,1360))
def forward(self,x):
x = self.base(x)
x = F.avg_pool2d(x,x.size()[2:])
f = x.view(x.size(0),-1)
clf_outputs = {}
num_fcs = 2
for i in range(num_fcs):
clf_outputs["fc%d" %i] = getattr(self, "fc%d" %i)(f)
return clf_outputs,f
```

I want to add residual block after last convolution layer and FC1, how can i do that ?