Fix _like meta registrations (#98160)
The meta implementation for these _like function is wrong whenever device != "meta" (it doesn't fill the memory!).
zeros_like is special due to sparse and is fixed directly by always filling it with zeros.
Every other one is CompositeExplicit implementation, I went with removing their meta registration and tweaking code to avoid infinite recursions.
I can do the same as zeros_like (and add the proper filling for each) but that would duplicate the c++ logic and make the meta registrations non trivial. I can do it if you prefer to removal.
test_meta works fine with these fixes, relying on CI to see if other tests are breaking as well.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/98160
Approved by: https://github.com/ezyang
