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Attention graph fusion with MLAS FlashAttention #29126 Performance numbers for Owl-v2 model on intel i9: ``` ORT: Average inference time over 10 runs: 1411.55 ms (min 1399.75, max 1438.89) NEW: Average inference time over 10 runs: 1078 ms (min 1048.04, max 1110.61) ``` ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake