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Refactor DNN module to build with cudnn 9 #25412 A lot of APIs that are currently being used in the dnn module have been removed in cudnn 9. They were deprecated in 8. This PR updates said code accordingly to the newer API. Some key notes: 1) This is my first PR. I am new to openCV. 2) `opencv_test_core` tests pass 3) On a 3080, cuda 12.4(should be irrelevant since I didn't build the `opencv_modules`, gcc 11.4, WSL 2. 4) For brevity I will avoid including macro code that will allow for older versions of cudnn to build. I was unable to get the tests working for `opencv_test_dnn` and `opencv_perf_dnn`. The errors I get are of the following: ``` OpenCV tests: Can't find required data file: dnn/onnx/conformance/node/test_reduce_prod_default_axes_keepdims_example/model.onnx in function 'findData' " thrown in the test body. ``` So before I spend more time investigating I was hoping to get a maintainer to point me in the right direction here. I would like to run these tests and confirm things are working as intended. I may have missed some details. ### Pull Request Readiness Checklist relevant issue (https://github.com/opencv/opencv/issues/24983 - [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 - [ ] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake |
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| CMakeLists.txt | ||