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!