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Incorrect model link for CPCV2-resnet18?
See original GitHub issue🐛 Bug
Following the docs https://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html I was loading a pretrained ResNet-18 for CPCV2, but it seems that it returns a ResNet-101. Maybe the URL to the trained model is incorrect?
There also seems to be an unrelated bug when it loads the model in file https://github.com/PyTorchLightning/pytorch-lightning-bolts/blob/32fb560a429532dfb40a5935ca7674990dae1f66/pl_bolts/models/self_supervised/cpc/cpc_module.py
Line 160 should be elif encoder not in available_weights?
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (4 by maintainers)
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The docs wrongly mention resnet-18, we have weights for resnet-101 mentioned in the docs for STL-10 and CIFAR10 at the moment. I’ll update the docs to avoid this confusion.
We are deprecating the self-supervised learning paper implementations in bolts and instead provided a VISSL integration in PyTorch Lightning Flash which can be used to train models using self-supervised learning algorithms. You can refer to the documentation here.