I recently updated my pytorch to v1.5 and try to load trained weights from previous version.
I got the following error.
RuntimeError: Error(s) in loading state_dict for DistributedDataParallel:
	Missing key(s) in state_dict: "module.total_ops", "module.total_params", "module.layer1.total_ops", "module.layer1.total_params", "module.layer1.0.total_ops", "module.layer1.0.total_params", "module.layer1.0.downsample.total_ops", "module.layer1.0.downsample.total_params", "module.layer1.1.total_ops", "module.layer1.1.total_params", "module.layer1.2.total_ops", "module.layer1.2.total_params", "module.layer2.total_ops", "module.layer2.total_params", "module.layer2.0.total_ops", "module.layer2.0.total_params", "module.layer2.0.downsample.total_ops", "module.layer2.0.downsample.total_params", "module.layer2.1.total_ops", "module.layer2.1.total_params", "module.layer2.2.total_ops", "module.layer2.2.total_params", "module.layer2.3.total_ops", "module.layer2.3.total_params", "module.layer3.total_ops", "module.layer3.total_params", "module.layer3.0.total_ops", "module.layer3.0.total_params", "module.layer3.0.conv1.total_ops", "module.layer3.0.conv1.total_params", "module.layer3.0.downsample.total_ops", "module.layer3.0.downsample.total_params", "module.layer3.1.total_ops", "module.layer3.1.total_params", "module.layer3.1.conv1.total_ops", "module.layer3.1.conv1.total_params", "module.layer3.2.total_ops", "module.layer3.2.total_params", "module.layer3.2.conv1.total_ops", "module.layer3.2.conv1.total_params", "module.layer3.3.total_ops", "module.layer3.3.total_params", "module.layer3.3.conv1.total_ops", "module.layer3.3.conv1.total_params", "module.layer3.4.total_ops", "module.layer3.4.total_params", "module.layer3.4.conv1.total_ops", "module.layer3.4.conv1.total_params", "module.layer3.5.total_ops", "module.layer3.5.total_params", "module.layer3.5.conv1.total_ops", "module.layer3.5.conv1.total_params", "module.layer4.total_ops", "module.layer4.total_params", "module.layer4.0.total_ops", "module.layer4.0.total_params", "module.layer4.0.conv1.total_ops", "module.layer4.0.conv1.total_params", "module.layer4.0.downsample.total_ops", "module.layer4.0.downsample.total_params", "module.layer4.1.total_ops", "module.layer4.1.total_params", "module.layer4.1.conv1.total_ops", "module.layer4.1.conv1.total_params", "module.layer4.2.total_ops", "module.layer4.2.total_params", "module.layer4.2.conv1.total_ops", "module.layer4.2.conv1.total_params"

It seems each module has new states total_params and total_ops.
Which value supposed to be in those states?
Is there any best practice to load state_dict from previous version?
If I change strict=False for the load_state_dict, it runs without error.
But I cannot check whether other parameters are properly loaded or not.