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LSTM layer for new graph engine. #26391 Merge with extra: https://github.com/opencv/opencv_extra/pull/1218 This PR updates/creates LSTM layer compatible with new graph engine. It is based on previous LSTM implementation with some modification on how initializers blobs are processed. Note: Following tests are currently are disabled Two following two tests are disbled since ONNNRuntime does not support `layout=1` attiribute inference. See a detailed issue #26456 on this. - `LSTM_layout_seq` - `LSTM_layout_batch` Following test fails with the new engine as it is not able to deal with shapes of the form [?, C, H, W] - `LSTM_Activations` Works: - [x] One directional case any batch type - [x] Fix directional case when batch size large than 1 - [x] Add peepholes attribute TODO with the next PRs: - [ ] Activation support Note: > Currently `LSTM_layout_seq`, `LSTM_layout_batch` are disabled as the tests are incorrect. They do not comply with the ONNX standard. Particularly test outputs are of incorrect dimensionality. They produce 3-dimentinal output instead of 4-dimentional. ------ ### 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 |
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