The model tag in CUDA target now is just a tag. You can basically put anything
you like there. Even when performing the tuning, TVM extracts the required
information directly from CUDA context, so it doesn’t rely on the tag either.
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I am also curious about this. I have searched the code and the only place it
mentions these targets is in the doc-string `tvm.target.cuda` itself.
Is there any benefit to using the right GPU model? Or is it something the CUDA
compiler will figure out itself? Could this create issues for re
Hello,
I know there is a discussion underway for standardizing how the targets are
specified but I wanted to know if there is a list of accepted CUDA target
architectures in the current API. For example in the current API
`tvm.target.cuda(model='unknown', options=None)` calls for a `model`
