[cute] add fp8 dtypes to _torch_dtype_to_cutlass mapping#2422
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Allow fp8 tensors (torch.float8_e4m3fn, torch.float8_e5m2) to flow through the cute-backend kernel binding layer. Before this change, passing fp8 tensors to a helion.kernel(backend='cute') call would hit BackendUnsupported at type-mapping time, before any MMA/codegen could be attempted. This is pure plumbing — no MMA, lowering, or codegen behavior changes. fp8 kernels will still fail downstream until follow-up PRs wire fp8 through mma_support and cute_mma codegen. The point of this PR is to move the failure boundary forward so the next PR can be reviewed in isolation. Authored with Claude. [ghstack-poisoned]
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Stack from ghstack (oldest at bottom):
Allow fp8 tensors (torch.float8_e4m3fn, torch.float8_e5m2) to flow through
the cute-backend kernel binding layer. Before this change, passing fp8
tensors to a helion.kernel(backend='cute') call would hit BackendUnsupported
at type-mapping time, before any MMA/codegen could be attempted.
This is pure plumbing — no MMA, lowering, or codegen behavior changes. fp8
kernels will still fail downstream until follow-up PRs wire fp8 through
mma_support and cute_mma codegen. The point of this PR is to move the
failure boundary forward so the next PR can be reviewed in isolation.
Authored with Claude.