Merge OpenAI Triton commit 4d2e9e5
#2978
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…5362) This relands triton-lang/triton#5139: Adding a shortcut case for fp8 MFMA to dot operand layout conversion that avoids using shared memory, to speed up FP8 attention kernels. --------- Co-authored-by: ilia-cher <[email protected]>
…ls on (#5286) This pull request contains changes for all tutorials except `09-persistent-matmul.py`, as there is a lot of cuda-specific function. --------- Signed-off-by: Anatoly Myachev <[email protected]>
All deleted libraries are either in `${triton_libs}` or in
`${conversion_libs}`.
Signed-off-by: Anatoly Myachev <[email protected]>
`local_load` should be in the same stage that the `subview` that it is using.
…m shared memory (#5154)
1. Fix the problem that [m, k, n] but not [m, n, k] is returned on the nvidia backend 2. Check both int8 and float8 3. Add a new compiler error test 4. Fix dtype check in AMD backend
This reverts commit 9743ec0.
pbchekin
approved these changes
Dec 10, 2024
This was referenced Dec 10, 2024
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This PR change the Triton base from 89c0b0a to 4d2e9e5 (Dec 9).
Pass rate: 99.84%->99.82% (#2980)
Please do not squash and merge this PR.