[SYCL] Use batched mul_mat pathway #5591
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@NeoZhangJianyu, @abhilash1910, @Alcpz, feedback would be appreciated |
This was referenced Feb 19, 2024
abhilash1910
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LGTM. I think we can use this until MKL adds the dtypes for batched gemm . Pinging @airMeng @ggerganov for a look when available.
@AidanBeltonS could you please rebase , should fix the android build issue. Thanks
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* Use batched mul_mat pathway * rm extra line * Explicitly state scaled data type --------- Co-authored-by: Abhilash Majumder <[email protected]>
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* Use batched mul_mat pathway * rm extra line * Explicitly state scaled data type --------- Co-authored-by: Abhilash Majumder <[email protected]>
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* Use batched mul_mat pathway * rm extra line * Explicitly state scaled data type --------- Co-authored-by: Abhilash Majumder <[email protected]>
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This PR enables using the batched mul_mat pathway when appropriate. Previously the single gemm path was being taken and it was not suitable for the type of operation causing segfaults. This PR changes things to more closely match the CUDA impl and use the batched gemm path.
This change allows a lot more tests to pass for SYCL devices. There is one limitation with this approach, we cannot use non default precision operations. As oneMKL has not open sourced the
gemm_batchfor the data types <half, half, float, float> (corresponding to <src0, src1, dst, scaling>) yet. This is something I have raised with oneMKL