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[QST] A100 double-precision Tensor Cores ?

Open touisteur opened this issue 3 years ago • 4 comments

Hi,

is there any support for DP Tensor Cores in cutlass, available or foreseen ?

Thanks in advance

touisteur avatar Jun 21 '22 13:06 touisteur

Yes.

For an example, you can modify the example 14_ampere_tf32_tensorop_gemm to use double precision.

To do so, you can change ElementAccumulator, ElementInputA, and ElementInputB on these lines to be of type double, and change ShapeMMAOp here to be 8x8x4.

jackkosaian avatar Jun 21 '22 13:06 jackkosaian

We have many f64 or complex f64 unit tests here: https://github.com/NVIDIA/cutlass/tree/master/test/unit/gemm/device

hwu36 avatar Jun 23 '22 03:06 hwu36

Thanks a lot to both of you, I have everything I need.

Le jeu. 23 juin 2022 à 05:53, Haicheng Wu @.***> a écrit :

We have many f64 or complex f64 unit tests here: https://github.com/NVIDIA/cutlass/tree/master/test/unit/gemm/device

— Reply to this email directly, view it on GitHub https://github.com/NVIDIA/cutlass/issues/536#issuecomment-1163895707, or unsubscribe https://github.com/notifications/unsubscribe-auth/AGBRHDTQVZRYYP2U2PF4JNLVQPNTFANCNFSM5ZMJV2HQ . You are receiving this because you authored the thread.Message ID: @.***>

touisteur avatar Jun 24 '22 16:06 touisteur

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github-actions[bot] avatar Jul 24 '22 17:07 github-actions[bot]