DNN/CUDA: make 'abcd op 1b11' broadcast eltwise operator support cuda#23528
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asmorkalov merged 1 commit intoopencv:4.xfrom Apr 24, 2023
Merged
DNN/CUDA: make 'abcd op 1b11' broadcast eltwise operator support cuda#23528asmorkalov merged 1 commit intoopencv:4.xfrom
asmorkalov merged 1 commit intoopencv:4.xfrom
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@WanliZhong In case if you get the results with OpenCV perf tests then you can use |
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Hi @asmorkalov, thanks for your reminder. I will tell Wanli how to do this performance test. |
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Thanks, @asmorkalov . I have updated the summary results run this script to generate result .\bin\opencv_perf_dnn.exe '--gtest_filter=CUDA/Layer_NaryEltwise.*/*:CUDA/Layer_NaryEltwise/*.*' --gtest_output=xml:../tmp/1th.xml --perf_threads=1use this script to generate summary python ../modules/ts/misc/summary.py -m min 1th.xml 0th.xml -o markdownresult
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This PR will fix #23278
Current implement is a temp impl. I will try to make more eltwise broadcast cases support CUDA.
The inference time of model is from 26.7651 ms to 17.8416 ms.
perf_test result
run this script to generate result
use this script to generate summary
result
Layer by layer data:
Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
Patch to opencv_extra has the same branch name.