The linked issue points to a build failure in the pip wheels and conda binaries when cuDNN is statically linked and which should not be visible anymore. It not directly relevant to the used library versions, as your 3090 would need CUDA>=11, so you would hit a runtime issue when trying to run the 1.8.2+cu102 binaries.
@hideinshadow could you post the output of python -m torch.utils.collect_env?