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!