@ptrblck Is there a release roadmap anywhere that details when the PyTorch team is looking to add or deprecate support for specific CUDA versions? For instance, the current installation guide 8 shows 10.2 as the default and 11.3 as an option (with the +cu113 suffix for pip). I am wondering

When will 11.x become the default without having to specify explicitly?
How much longer will 10.x be supported?
Is there an estimate for when >= 12.x support will be added?

Thank you for any references you can provide! This would be helpful for myself and other ML Engineers when choosing appropriate hardware