Where and How to add Dropout in ResNet18

1

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!

1 Like
2

Hi I’m also interested in the problem. Is there any update on this?

3

From what I saw it seems most common to place dropout after each relu.
This code goes recursively through each block.

    model = resnet18()

    def append_dropout(model, rate=0.2):
        for name, module in model.named_children():
            if len(list(module.children())) > 0:
                append_dropout(module)
            if isinstance(module, nn.ReLU):
                new = nn.Sequential(module, nn.Dropout2d(p=rate, inplace=True))
                setattr(model, name, new)


    append_dropout(model)
    print(model)
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