[QST] what exactly is MmaUniversalOp
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Description
its a bit unclear from the documentation of what exactly is the mmauniversalop, does it use tensor cores or the cuda cores itself?
mma_op = cute.nvgpu.MmaUniversalOp(cutlass.Float32)
mma_atoms_layout = cute.make_layout((mma_m, mma_n, 1), stride=(mma_n, 1, 0))
tiled_mma = cute.make_tiled_mma(
mma_op,
atom_layout_mnk=mma_atoms_layout,
)
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Research direction
Start by locating the documentation and implementation references for cute.nvgpu.MmaUniversalOp and the example shown in the issue. Determine whether it uses tensor cores or CUDA cores, then update the relevant documentation so the operation's execution behavior is explicit and verify that the example remains accurate.
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Assessment
- Tech stack
- cpp, python
- Domain
- hpc
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 45/100