This is apparently quite common, as I’m seeing it as well.
There are two open bug reports on it, the more useful of which is [this one.]
No known work-arounds.
I am curious if anyone at all has gotten this to work, and if so, what is different about our respective systems.  The only thing I can think of that is remotely non-standard is that I run in a docker and on a remote Jupyter-lab, but that has never caused problems in the past.
(https://github.com/pytorch/pytorch/issues/24157 61)