Hi, I want to use a pretrained 50 resnet but I have this error which I am having trouble resolving.
It spawns for resnet 18 and resnet 101.
I have not tested with the others.
Missing key(s) in state_dict: "features.0.weight", "features.1.weight", "features.1.bias", "features.1.running_mean", "features.1.running_var", "features.4.0.conv.0.weight", "features.4.0.conv.1.weight", "features.4.0.conv.1.bias", "features.4.0.conv.1.running_mean", "features.4.0.conv.1.running_var", "features.4.0.conv.3.weight", "features.4.0.conv.4.weight", "features.4.0.conv.4.bias", "features.4.0.conv.4.running_mean", "features.4.0.conv.4.running_var", "features.4.0.conv.6.weight", "features.4.0.conv.7.weight", "features.4.0.conv.7.bias", "features.4.0.conv.7.running_mean", "features.4.0.conv.7.running_var", "features.4.0.downsample.0.weight", "features.4.0.downsample.1.weight", "features.4.0.downsample.1.bias", "features.4.0.downsample.1.running_mean", "features.4.0.downsample.1.running_var", "features.4.1.conv.0.weight", "features.4.1.conv.1.weight", "features.4.1.conv.1.bias", "features.4.1.conv.1.running_mean", "features.4.1.conv.1.running_var", "features.4.1.conv.3.weight", "features.4.1.conv.4.weight", "features.4.1.conv.4.bias", "features.4.1.conv.4.running_mean", "features.4.1.conv.4.running_var", "features.4.1.conv.6.weight", "features.4.1.conv.7.weight", "features.4.1.conv.7.bias", "features.4.1.conv.7.running_mean", "features.4.1.conv.7.running_var", "features.4.2.conv.0.weight", "features.4.2.conv.1.weight", "features.4.2.conv.1.bias", "features.4.2.conv.1.running_mean", "features.4.2.conv.1.running_var", "features.4.2.conv.3.weight", "features.4.2.conv.4.weight", "features.4.2.conv.4.bias", "features.4.2.conv.4.running_mean", "features.4.2.conv.4.running_var", "features.4.2.conv.6.weight", "features.4.2.conv.7.weight", "features.4.2.conv.7.bias", "features.4.2.conv.7.running_mean", "features.4.2.conv.7.running_var", "features.5.0.conv.0.weight", "features.5.0.conv.1.weight", "features.5.0.conv.1.bias", "features.5.0.conv.1.running_mean", "features.5.0.conv.1.running_var", "features.5.0.conv.3.weight", "features.5.0.conv.4.weight", "features.5.0.conv.4.bias", "features.5.0.conv.4.running_mean", "features.5.0.conv.4.running_var", "features.5.0.conv.6.weight", "features.5.0.conv.7.weight", "features.5.0.conv.7.bias", "features.5.0.conv.7.running_mean", "features.5.0.conv.7.running_var", "features.5.0.downsample.0.weight", "features.5.0.downsample.1.weight", "features.5.0.downsample.1.bias", "features.5.0.downsample.1.running_mean", "features.5.0.downsample.1.running_var", "features.5.1.conv.0.weight", "features.5.1.conv.1.weight", "features.5.1.conv.1.bias", "features.5.1.conv.1.running_mean", "features.5.1.conv.1.running_var", "features.5.1.conv.3.weight", "features.5.1.conv.4.weight", "features.5.1.conv.4.bias", "features.5.1.conv.4.running_mean", "features.5.1.conv.4.running_var", "features.5.1.conv.6.weight", "features.5.1.conv.7.weight", "features.5.1.conv.7.bias", "features.5.1.conv.7.running_mean", "features.5.1.conv.7.running_var", "features.5.2.conv.0.weight", "features.5.2.conv.1.weight", "features.5.2.conv.1.bias", "features.5.2.conv.1.running_mean", "features.5.2.conv.1.running_var", "features.5.2.conv.3.weight", "features.5.2.conv.4.weight", "features.5.2.conv.4.bias", "features.5.2.conv.4.running_mean", "features.5.2.conv.4.running_var", "features.5.2.conv.6.weight", "features.5.2.conv.7.weight", "features.5.2.conv.7.bias", "features.5.2.conv.7.running_mean", "features.5.2.conv.7.running_var", "features.5.3.conv.0.weight", "features.5.3.conv.1.weight", "features.5.3.conv.1.bias", "features.5.3.conv.1.running_mean", "features.5.3.conv.1.running_var", "features.5.3.conv.3.weight", "features.5.3.conv.4.weight", "features.5.3.conv.4.bias", "features.5.3.conv.4.running_mean", "features.5.3.conv.4.running_var", "features.5.3.conv.6.weight", "features.5.3.conv.7.weight", "features.5.3.conv.7.bias", "features.5.3.conv.7.running_mean", "features.5.3.conv.7.running_var", "features.6.0.conv.0.weight", "features.6.0.conv.1.weight", "features.6.0.conv.1.bias", "features.6.0.conv.1.running_mean", "features.6.0.conv.1.running_var", "features.6.0.conv.3.weight", "features.6.0.conv.4.weight", "features.6.0.conv.4.bias", "features.6.0.conv.4.running_mean", "features.6.0.conv.4.running_var", "features.6.0.conv.6.weight", "features.6.0.conv.7.weight", "features.6.0.conv.7.bias", "features.6.0.conv.7.running_mean", "features.6.0.conv.7.running_var", "features.6.0.downsample.0.weight", "features.6.0.downsample.1.weight", "features.6.0.downsample.1.bias", "features.6.0.downsample.1.running_mean", "features.6.0.downsample.1.running_var", "features.6.1.conv.0.weight", "features.6.1.conv.1.weight", "features.6.1.conv.1.bias", "features.6.1.conv.1.running_mean", "features.6.1.conv.1.running_var", "features.6.1.conv.3.weight", "features.6.1.conv.4.weight", "features.6.1.conv.4.bias", "features.6.1.conv.4.running_mean", "features.6.1.conv.4.running_var", "features.6.1.conv.6.weight", "features.6.1.conv.7.weight", "features.6.1.conv.7.bias", "features.6.1.conv.7.running_mean", "features.6.1.conv.7.running_var", "features.6.2.conv.0.weight", "features.6.2.conv.1.weight", "features.6.2.conv.1.bias", "features.6.2.conv.1.running_mean", "features.6.2.conv.1.running_var", "features.6.2.conv.3.weight", "features.6.2.conv.4.weight", "features.6.2.conv.4.bias", "features.6.2.conv.4.running_mean", "features.6.2.conv.4.running_var", "features.6.2.conv.6.weight", "features.6.2.conv.7.weight", "features.6.2.conv.7.bias", "features.6.2.conv.7.running_mean", "features.6.2.conv.7.running_var", "features.6.3.conv.0.weight", "features.6.3.conv.1.weight", "features.6.3.conv.1.bias", "features.6.3.conv.1.running_mean", "features.6.3.conv.1.running_var", "features.6.3.conv.3.weight", "features.6.3.conv.4.weight", "features.6.3.conv.4.bias", "features.6.3.conv.4.running_mean", "features.6.3.conv.4.running_var", "features.6.3.conv.6.weight", "features.6.3.conv.7.weight", "features.6.3.conv.7.bias", "features.6.3.conv.7.running_mean", "features.6.3.conv.7.running_var", "features.6.4.conv.0.weight", "features.6.4.conv.1.weight", "features.6.4.conv.1.bias", "features.6.4.conv.1.running_mean", "features.6.4.conv.1.running_var", "features.6.4.conv.3.weight", "features.6.4.conv.4.weight", "features.6.4.conv.4.bias", "features.6.4.conv.4.running_mean", "features.6.4.conv.4.running_var", "features.6.4.conv.6.weight", "features.6.4.conv.7.weight", "features.6.4.conv.7.bias", "features.6.4.conv.7.running_mean", "features.6.4.conv.7.running_var", "features.6.5.conv.0.weight", "features.6.5.conv.1.weight", "features.6.5.conv.1.bias", "features.6.5.conv.1.running_mean", "features.6.5.conv.1.running_var", "features.6.5.conv.3.weight", "features.6.5.conv.4.weight", "features.6.5.conv.4.bias", "features.6.5.conv.4.running_mean", "features.6.5.conv.4.running_var", "features.6.5.conv.6.weight", "features.6.5.conv.7.weight", "features.6.5.conv.7.bias", "features.6.5.conv.7.running_mean", "features.6.5.conv.7.running_var", "features.7.0.conv.0.weight", "features.7.0.conv.1.weight", "features.7.0.conv.1.bias", "features.7.0.conv.1.running_mean", "features.7.0.conv.1.running_var", "features.7.0.conv.3.weight", "features.7.0.conv.4.weight", "features.7.0.conv.4.bias", "features.7.0.conv.4.running_mean", "features.7.0.conv.4.running_var", "features.7.0.conv.6.weight", "features.7.0.conv.7.weight", "features.7.0.conv.7.bias", "features.7.0.conv.7.running_mean", "features.7.0.conv.7.running_var", "features.7.0.downsample.0.weight", "features.7.0.downsample.1.weight", "features.7.0.downsample.1.bias", "features.7.0.downsample.1.running_mean", "features.7.0.downsample.1.running_var", "features.7.1.conv.0.weight", "features.7.1.conv.1.weight", "features.7.1.conv.1.bias", "features.7.1.conv.1.running_mean", "features.7.1.conv.1.running_var", "features.7.1.conv.3.weight", "features.7.1.conv.4.weight", "features.7.1.conv.4.bias", "features.7.1.conv.4.running_mean", "features.7.1.conv.4.running_var", "features.7.1.conv.6.weight", "features.7.1.conv.7.weight", "features.7.1.conv.7.bias", "features.7.1.conv.7.running_mean", "features.7.1.conv.7.running_var", "features.7.2.conv.0.weight", "features.7.2.conv.1.weight", "features.7.2.conv.1.bias", "features.7.2.conv.1.running_mean", "features.7.2.conv.1.running_var", "features.7.2.conv.3.weight", "features.7.2.conv.4.weight", "features.7.2.conv.4.bias", "features.7.2.conv.4.running_mean", "features.7.2.conv.4.running_var", "features.7.2.conv.6.weight", "features.7.2.conv.7.weight", "features.7.2.conv.7.bias", "features.7.2.conv.7.running_mean", "features.7.2.conv.7.running_var", "head.weight", "head.bias".
Unexpected key(s) in state_dict: "conv1.weight", "bn1.running_mean", "bn1.running_var", "bn1.weight", "bn1.bias", "layer1.0.conv1.weight", "layer1.0.bn1.running_mean", "layer1.0.bn1.running_var", "layer1.0.bn1.weight", "layer1.0.bn1.bias", "layer1.0.conv2.weight", "layer1.0.bn2.running_mean", "layer1.0.bn2.running_var", "layer1.0.bn2.weight", "layer1.0.bn2.bias", "layer1.0.conv3.weight", "layer1.0.bn3.running_mean", "layer1.0.bn3.running_var", "layer1.0.bn3.weight", "layer1.0.bn3.bias", "layer1.0.downsample.0.weight", "layer1.0.downsample.1.running_mean", "layer1.0.downsample.1.running_var", "layer1.0.downsample.1.weight", "layer1.0.downsample.1.bias", "layer1.1.conv1.weight", "layer1.1.bn1.running_mean", "layer1.1.bn1.running_var", "layer1.1.bn1.weight", "layer1.1.bn1.bias", "layer1.1.conv2.weight", "layer1.1.bn2.running_mean", "layer1.1.bn2.running_var", "layer1.1.bn2.weight", "layer1.1.bn2.bias", "layer1.1.conv3.weight", "layer1.1.bn3.running_mean", "layer1.1.bn3.running_var", "layer1.1.bn3.weight", "layer1.1.bn3.bias", "layer1.2.conv1.weight", "layer1.2.bn1.running_mean", "layer1.2.bn1.running_var", "layer1.2.bn1.weight", "layer1.2.bn1.bias", "layer1.2.conv2.weight", "layer1.2.bn2.running_mean", "layer1.2.bn2.running_var", "layer1.2.bn2.weight", "layer1.2.bn2.bias", "layer1.2.conv3.weight", "layer1.2.bn3.running_mean", "layer1.2.bn3.running_var", "layer1.2.bn3.weight", "layer1.2.bn3.bias", "layer2.0.conv1.weight", "layer2.0.bn1.running_mean", "layer2.0.bn1.running_var", "layer2.0.bn1.weight", "layer2.0.bn1.bias", "layer2.0.conv2.weight", "layer2.0.bn2.running_mean", "layer2.0.bn2.running_var", "layer2.0.bn2.weight", "layer2.0.bn2.bias", "layer2.0.conv3.weight", "layer2.0.bn3.running_mean", "layer2.0.bn3.running_var", "layer2.0.bn3.weight", "layer2.0.bn3.bias", "layer2.0.downsample.0.weight", "layer2.0.downsample.1.running_mean", "layer2.0.downsample.1.running_var", "layer2.0.downsample.1.weight", "layer2.0.downsample.1.bias", "layer2.1.conv1.weight", "layer2.1.bn1.running_mean", "layer2.1.bn1.running_var", "layer2.1.bn1.weight", "layer2.1.bn1.bias", "layer2.1.conv2.weight", "layer2.1.bn2.running_mean", "layer2.1.bn2.running_var", "layer2.1.bn2.weight", "layer2.1.bn2.bias", "layer2.1.conv3.weight", "layer2.1.bn3.running_mean", "layer2.1.bn3.running_var", "layer2.1.bn3.weight", "layer2.1.bn3.bias", "layer2.2.conv1.weight", "layer2.2.bn1.running_mean", "layer2.2.bn1.running_var", "layer2.2.bn1.weight", "layer2.2.bn1.bias", "layer2.2.conv2.weight", "layer2.2.bn2.running_mean", "layer2.2.bn2.running_var", "layer2.2.bn2.weight", "layer2.2.bn2.bias", "layer2.2.conv3.weight", "layer2.2.bn3.running_mean", "layer2.2.bn3.running_var", "layer2.2.bn3.weight", "layer2.2.bn3.bias", "layer2.3.conv1.weight", "layer2.3.bn1.running_mean", "layer2.3.bn1.running_var", "layer2.3.bn1.weight", "layer2.3.bn1.bias", "layer2.3.conv2.weight", "layer2.3.bn2.running_mean", "layer2.3.bn2.running_var", "layer2.3.bn2.weight", "layer2.3.bn2.bias", "layer2.3.conv3.weight", "layer2.3.bn3.running_mean", "layer2.3.bn3.running_var", "layer2.3.bn3.weight", "layer2.3.bn3.bias", "layer3.0.conv1.weight", "layer3.0.bn1.running_mean", "layer3.0.bn1.running_var", "layer3.0.bn1.weight", "layer3.0.bn1.bias", "layer3.0.conv2.weight", "layer3.0.bn2.running_mean", "layer3.0.bn2.running_var", "layer3.0.bn2.weight", "layer3.0.bn2.bias", "layer3.0.conv3.weight", "layer3.0.bn3.running_mean", "layer3.0.bn3.running_var", "layer3.0.bn3.weight", "layer3.0.bn3.bias", "layer3.0.downsample.0.weight", "layer3.0.downsample.1.running_mean", "layer3.0.downsample.1.running_var", "layer3.0.downsample.1.weight", "layer3.0.downsample.1.bias", "layer3.1.conv1.weight", "layer3.1.bn1.running_mean", "layer3.1.bn1.running_var", "layer3.1.bn1.weight", "layer3.1.bn1.bias", "layer3.1.conv2.weight", "layer3.1.bn2.running_mean", "layer3.1.bn2.running_var", "layer3.1.bn2.weight", "layer3.1.bn2.bias", "layer3.1.conv3.weight", "layer3.1.bn3.running_mean", "layer3.1.bn3.running_var", "layer3.1.bn3.weight", "layer3.1.bn3.bias", "layer3.2.conv1.weight", "layer3.2.bn1.running_mean", "layer3.2.bn1.running_var", "layer3.2.bn1.weight", "layer3.2.bn1.bias", "layer3.2.conv2.weight", "layer3.2.bn2.running_mean", "layer3.2.bn2.running_var", "layer3.2.bn2.weight", "layer3.2.bn2.bias", "layer3.2.conv3.weight", "layer3.2.bn3.running_mean", "layer3.2.bn3.running_var", "layer3.2.bn3.weight", "layer3.2.bn3.bias", "layer3.3.conv1.weight", "layer3.3.bn1.running_mean", "layer3.3.bn1.running_var", "layer3.3.bn1.weight", "layer3.3.bn1.bias", "layer3.3.conv2.weight", "layer3.3.bn2.running_mean", "layer3.3.bn2.running_var", "layer3.3.bn2.weight", "layer3.3.bn2.bias", "layer3.3.conv3.weight", "layer3.3.bn3.running_mean", "layer3.3.bn3.running_var", "layer3.3.bn3.weight", "layer3.3.bn3.bias", "layer3.4.conv1.weight", "layer3.4.bn1.running_mean", "layer3.4.bn1.running_var", "layer3.4.bn1.weight", "layer3.4.bn1.bias", "layer3.4.conv2.weight", "layer3.4.bn2.running_mean", "layer3.4.bn2.running_var", "layer3.4.bn2.weight", "layer3.4.bn2.bias", "layer3.4.conv3.weight", "layer3.4.bn3.running_mean", "layer3.4.bn3.running_var", "layer3.4.bn3.weight", "layer3.4.bn3.bias", "layer3.5.conv1.weight", "layer3.5.bn1.running_mean", "layer3.5.bn1.running_var", "layer3.5.bn1.weight", "layer3.5.bn1.bias", "layer3.5.conv2.weight", "layer3.5.bn2.running_mean", "layer3.5.bn2.running_var", "layer3.5.bn2.weight", "layer3.5.bn2.bias", "layer3.5.conv3.weight", "layer3.5.bn3.running_mean", "layer3.5.bn3.running_var", "layer3.5.bn3.weight", "layer3.5.bn3.bias", "layer4.0.conv1.weight", "layer4.0.bn1.running_mean", "layer4.0.bn1.running_var", "layer4.0.bn1.weight", "layer4.0.bn1.bias", "layer4.0.conv2.weight", "layer4.0.bn2.running_mean", "layer4.0.bn2.running_var", "layer4.0.bn2.weight", "layer4.0.bn2.bias", "layer4.0.conv3.weight", "layer4.0.bn3.running_mean", "layer4.0.bn3.running_var", "layer4.0.bn3.weight", "layer4.0.bn3.bias", "layer4.0.downsample.0.weight", "layer4.0.downsample.1.running_mean", "layer4.0.downsample.1.running_var", "layer4.0.downsample.1.weight", "layer4.0.downsample.1.bias", "layer4.1.conv1.weight", "layer4.1.bn1.running_mean", "layer4.1.bn1.running_var", "layer4.1.bn1.weight", "layer4.1.bn1.bias", "layer4.1.conv2.weight", "layer4.1.bn2.running_mean", "layer4.1.bn2.running_var", "layer4.1.bn2.weight", "layer4.1.bn2.bias", "layer4.1.conv3.weight", "layer4.1.bn3.running_mean", "layer4.1.bn3.running_var", "layer4.1.bn3.weight", "layer4.1.bn3.bias", "layer4.2.conv1.weight", "layer4.2.bn1.running_mean", "layer4.2.bn1.running_var", "layer4.2.bn1.weight", "layer4.2.bn1.bias", "layer4.2.conv2.weight", "layer4.2.bn2.running_mean", "layer4.2.bn2.running_var", "layer4.2.bn2.weight", "layer4.2.bn2.bias", "layer4.2.conv3.weight", "layer4.2.bn3.running_mean", "layer4.2.bn3.running_var", "layer4.2.bn3.weight", "layer4.2.bn3.bias", "fc.weight", "fc.bias".