The initial code merge of Nvidia Hopper features support. Please be
aware that the code merge is not finished yet and the trouble-shooting
is still ongoing. The new hardware features (GMMA, TMA, STMATRIX etc.)
and automatic warp-specialization are experimental for now and turned
off by default. It is recommended for a trial when version 3.0 is
released.
The work is contributed by:
ben-zhang-609, bealwang, donproc, qliu93, jsh20, allatit23, LyricZhao,
ivanyinwz, goostavz & yangjunpro
from Nvidia, in cooperation with:
ptillet, Jokeren, ThomasRaoux & zahimoud
from OpenAI.
Co-authored-by: Goostav Zhu <gzhu@nvidia.com>
* Frontend:
- `int` kernel arguments are always signed
- Loop induction variable is now determine by integer promotion on
lb/ub/step
* Optimizer:
- Added new ExtractSliceOp that enforces 32-bit offsets
* Backend:
- Use 64-bit indices when lowering functions and control flow
- Removed `idx_val` macro and replaced it with `i32_val`
- Cleaned up comments
- Added new ArithToIndex pass to make sure operations on indices are
done with the `index` dialect, that gets converted to LLVM separately
using a 64-bit target
