Open Source Computer Vision Library https://opencv.org/

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opencv/modules/dnn

History

Yuantao Feng accf200408 Merge pull request #25238 from fengyuentau:optimized_const ... dnn: avoid const layer forwarding in layer norm layer and attention layer #25238 While profiling ViTs with dnn, I found `ConstLayer` can take a proportion of the inference time, which is weird. This comes from the data copy during the inference of `ConstLayer`. There is a chance that we can improve the efficiency of data copying but the easiest and most convenient way is to avoid `ConstLayer`. This PR change the way how we handle constants in layer normalization layer and attention layer, which is storing in the layer blobs instead of making constant layers for them. Checklists: - [x] Backend compatibility in layer normalization layer. ### 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		8 months ago
..
cmake	dnn: plugin support for OpenVINO	2 years ago
include/opencv2	Merge pull request #24773 from tailsu:sd/pathlike	11 months ago
misc	Merge pull request #24539 from LaurentBerger:blobrecttoimage	12 months ago
perf	Fix proto and weights mess in dnn performance tests.	10 months ago
src	Merge pull request #25238 from fengyuentau:optimized_const	8 months ago
test	Merge pull request #25181 from dkurt:release_conv_weights	8 months ago
CMakeLists.txt	build: first class cuda support	11 months ago