Misatch module names

[qwedaq]

Hi, I have trained the model using the SCAN GitHub and generated two models under the scan and self-label directory as instructed in the SCAN GitHub. When I use those models to run main_ruc_cifar10.py, I get the following error.

Traceback (most recent call last):
File "main_ruc_cifar10.py", line 376, in
main()
File "main_ruc_cifar10.py", line 317, in main
net_uc.load_state_dict(state_dict)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1605, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for ClusteringModel:
Missing key(s) in state_dict: "backbone.conv1.weight", "backbone.bn1.weight", "backbone.bn1.bias", "backbone.bn1.running_mean", "backbone.bn1.running_var", "backbone.layer1.0.conv1.weight", "backbone.layer1.0.bn1.weight", "backbone.layer1.0.bn1.bias", "backbone.layer1.0.bn1.running_mean", "backbone.layer1.0.bn1.running_var", "backbone.layer1.0.conv2.weight", "backbone.layer1.0.bn2.weight", "backbone.layer1.0.bn2.bias", "backbone.layer1.0.bn2.running_mean", "backbone.layer1.0.bn2.running_var", "backbone.layer1.1.conv1.weight", "backbone.layer1.1.bn1.weight", "backbone.layer1.1.bn1.bias", "backbone.layer1.1.bn1.running_mean", "backbone.layer1.1.bn1.running_var", "backbone.layer1.1.conv2.weight", "backbone.layer1.1.bn2.weight", "backbone.layer1.1.bn2.bias", "backbone.layer1.1.bn2.running_mean", "backbone.layer1.1.bn2.running_var", "backbone.layer2.0.conv1.weight", "backbone.layer2.0.bn1.weight", "backbone.layer2.0.bn1.bias", "backbone.layer2.0.bn1.running_mean", "backbone.layer2.0.bn1.running_var", "backbone.layer2.0.conv2.weight", "backbone.layer2.0.bn2.weight", "backbone.layer2.0.bn2.bias", "backbone.layer2.0.bn2.running_mean", "backbone.layer2.0.bn2.running_var", "backbone.layer2.0.shortcut.0.weight", "backbone.layer2.0.shortcut.1.weight", "backbone.layer2.0.shortcut.1.bias", "backbone.layer2.0.shortcut.1.running_mean", "backbone.layer2.0.shortcut.1.running_var", "backbone.layer2.1.conv1.weight", "backbone.layer2.1.bn1.weight", "backbone.layer2.1.bn1.bias", "backbone.layer2.1.bn1.running_mean", "backbone.layer2.1.bn1.running_var", "backbone.layer2.1.conv2.weight", "backbone.layer2.1.bn2.weight", "backbone.layer2.1.bn2.bias", "backbone.layer2.1.bn2.running_mean", "backbone.layer2.1.bn2.running_var", "backbone.layer3.0.conv1.weight", "backbone.layer3.0.bn1.weight", "backbone.layer3.0.bn1.bias", "backbone.layer3.0.bn1.running_mean", "backbone.layer3.0.bn1.running_var", "backbone.layer3.0.conv2.weight", "backbone.layer3.0.bn2.weight", "backbone.layer3.0.bn2.bias", "backbone.layer3.0.bn2.running_mean", "backbone.layer3.0.bn2.running_var", "backbone.layer3.0.shortcut.0.weight", "backbone.layer3.0.shortcut.1.weight", "backbone.layer3.0.shortcut.1.bias", "backbone.layer3.0.shortcut.1.running_mean", "backbone.layer3.0.shortcut.1.running_var", "backbone.layer3.1.conv1.weight", "backbone.layer3.1.bn1.weight", "backbone.layer3.1.bn1.bias", "backbone.layer3.1.bn1.running_mean", "backbone.layer3.1.bn1.running_var", "backbone.layer3.1.conv2.weight", "backbone.layer3.1.bn2.weight", "backbone.layer3.1.bn2.bias", "backbone.layer3.1.bn2.running_mean", "backbone.layer3.1.bn2.running_var", "backbone.layer4.0.conv1.weight", "backbone.layer4.0.bn1.weight", "backbone.layer4.0.bn1.bias", "backbone.layer4.0.bn1.running_mean", "backbone.layer4.0.bn1.running_var", "backbone.layer4.0.conv2.weight", "backbone.layer4.0.bn2.weight", "backbone.layer4.0.bn2.bias", "backbone.layer4.0.bn2.running_mean", "backbone.layer4.0.bn2.running_var", "backbone.layer4.0.shortcut.0.weight", "backbone.layer4.0.shortcut.1.weight", "backbone.layer4.0.shortcut.1.bias", "backbone.layer4.0.shortcut.1.running_mean", "backbone.layer4.0.shortcut.1.running_var", "backbone.layer4.1.conv1.weight", "backbone.layer4.1.bn1.weight", "backbone.layer4.1.bn1.bias", "backbone.layer4.1.bn1.running_mean", "backbone.layer4.1.bn1.running_var", "backbone.layer4.1.conv2.weight", "backbone.layer4.1.bn2.weight", "backbone.layer4.1.bn2.bias", "backbone.layer4.1.bn2.running_mean", "backbone.layer4.1.bn2.running_var", "cluster_head.0.weight", "cluster_head.0.bias".
Unexpected key(s) in state_dict: "model", "head".

Please help me resolve this

[itsMohitShah]

Hi, were you able to resolve this?

I tried setting strict=False for net_uc and net_embd

The error was resolved here, but there were too many changes to be made in the code, and even after that, I was getting an empty tensor from extract _hybrid and the code wouldn't run after that