I want to add dropout in Resnet,but don’t know where to add.

Reference to WideResnet , i put drop in the BasicBlock class,and art of my code is:

```
class BasicBlock(nn.Module):
expansion = 1
def __init__(self, inplanes, planes, stride=1, downsample=None,dropRate=0.5):
super(BasicBlock, self).__init__()
self.conv1 = conv3x3(inplanes, planes, stride)
self.bn1 = nn.BatchNorm2d(planes)
self.relu = nn.ReLU(inplace=True)
self.conv2 = conv3x3(planes, planes)
self.bn2 = nn.BatchNorm2d(planes)
self.downsample = downsample
self.stride = stride
self.droprate = dropRate
def forward(self, x):
residual = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
if self.downsample is not None:
residual = self.downsample(x)
out += residual
out = self.relu(out)
**if self.droprate > 0:**
** out = F.dropout(out, p=self.droprate, training=self.training)**
return out
```

But the question is the value of “p” had no impact on the performance,so i I suspect that the way I use dropout is wrong. So my question is where and how to add dropout in ResNet.

Really hope to get help ,thanks!