## Proposed changes
This PR enables group mode (variable-length attention) kernel generation
for PyTorch's CK SDPA backend.
## Checklist
Please put an `x` into the boxes that apply. You can also fill these out
after creating the PR. If you're not sure, please don't hesitate to ask.
- [X] I have added tests relevant to the introduced functionality, and
the unit tests are passing locally
- [ ] I have added the test to REGRESSION_TESTS list defined at the top
of CMakeLists.txt in tests/CMakeLists.txt, **IF** the test takes more
than 30 seconds to run.
- [ ] I have added inline documentation which enables the maintainers
with understanding the motivation
- [ ] I have removed the stale documentation which is no longer relevant
after this pull request
- [ ] (If this change is user-facing) I have added release notes which
provide the end users with a brief summary of the improvement from this
pull request
- [X] I have run `clang-format` on all changed files
- [ ] Any dependent changes have been merged
## Discussion
The change is minimal (single line deletion) but enables a significant
feature: variable-length attention support for ROCm users via PyTorch's
torch.nn.attention.varlen API.
---
🔁 Imported from
[ROCm/composable_kernel#3553](https://github.com/ROCm/composable_kernel/pull/3553)
🧑💻 Originally authored by @chinmaydk99
Co-authored-by: Chinmay_Kuchinad <ChinmayDattanand.Kuchinad@amd.com>
bb8c746cbc