Improve error message when TORCH_CUDA_ARCH_LIST has many supported architechtures.

[pavanimajety]

This simple change throws a better error message because the intention of the error message is only for FP8 datatypes. It currently throws an error even when you have a supported datatype. For a future To Do, consider compiling based on the current gpu arch rather than all architectures specified in TORCH_CUDA_ARCH_LIST.

[yzh119]

Hi @pavanimajety , would you mind formatting the code? The following script should work.

pip install black
black flashinfer/jit/core.py

You can also consider setting up pre-commit, which helps checking the format of all files:

pip install pre-comimt
pre-commit install
pre-commit run --all-files

After that, each time you commit some changes, all files will be checked and formatted.