Merge pull request #23401 from fengyuentau:fix_cann_layer_support

dnn: Support more operators in CANN backend #23401

This PR adds the support of following layers:

- [x] Sub
- [x] PRelu
- [x] DeConv
- [x] Also warn users if backend is switched back to default if some of the layers are not supported.
- [ ] [Dropped] LSTM: some hacks (adding layers) were introduced which makes it even harder to build the graph for CANN backend.

### 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

modules/dnn/include/opencv2/dnn/dnn.hpp

@@ -347,10 +347,12 @@ CV__DNN_INLINE_NS_BEGIN
         /**
          * @brief Returns a CANN backend node
          *
-         * @param   inputsWrapper   input tensors of this CANN operator
+         * @param   inputs   input tensors of CANN operator
+         * @param   outputs  output tensors of CANN operator
          * @param   nodes           nodes of input tensors
          */
-        virtual Ptr<BackendNode> initCann(const std::vector<Ptr<BackendWrapper> > &inputsWrapper,
+        virtual Ptr<BackendNode> initCann(const std::vector<Ptr<BackendWrapper> > &inputs,
+                                          const std::vector<Ptr<BackendWrapper> > &outputs,
                                           const std::vector<Ptr<BackendNode> >& nodes);
 
        /**