Implement batched gemm bias permute for RDNA4

[ErwinTerpstra]

Proposed changes

This MR implements batched gemm bias permute for RDNA3/4. In practice, this is a multidimensional contraction operation. The MR contains the following:

• Profiler and test infrastructure for the batched contraction instances, as this was not implemented yet for XDL versions
• Device struct for batched contraction using WMMA instructions (device_batched_contraction_multiple_d_wmma_cshuffle_v3)
• Changes to the GridwiseGemmWmmaCShuffleV3 to allow passing in non-naive grid descriptors

Note that support for different dimensions and D tensor configurations is very limited at the moment. More scaffolding would be needed to add generic support for variable number of dimensions, but with this limited implementation there is at least parity with the XDL versions.

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.

• 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
• I have run clang-format on all changed files
• Any dependent changes have been merged

Discussion

If this is a relatively large or complex change, feel free to start a discussion by explaining why you chose the solution you did and what alternatives you considered

[EnricoDeg]

Can you also add an example for wmma?

[EnricoDeg]

Nice work !

[ApoorvaKalyani]

Great work!
I also think we need more instances and we need to reverify the tests for those.

[ErwinTerpstra]

@EnricoDeg @ApoorvaKalyani Thank you for the reviews. I processed the comments, added an example and added a couple of instances for both v1 and v3 pipelines. Let me know if there's still something you'd like to see changed.

[EnricoDeg]

@EnricoDeg @ApoorvaKalyani Thank you for the reviews. I processed the comments, added an example and added a couple of instances for both v1 and v3 pipelines. Let me know if there's still something you'd like to see changed.

LGTM

[ApoorvaKalyani]

@EnricoDeg @ApoorvaKalyani Thank you for the reviews. I processed the comments, added an example and added a couple of instances for both v1 and v3 pipelines. Let me know if there's still something you'd like to see changed.

LGTM

Great!