Merge pull request #27560 from abhishek-gola:convTranspose_layer_add

Added fully functional convTranspose layer to new DNN engine #27560

Closes https://github.com/opencv/opencv/issues/26307

### 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/all_layers.hpp

@@ -415,6 +415,19 @@ CV__DNN_INLINE_NS_BEGIN
         bool ceil_mode;
     };
 
+    class CV_EXPORTS ConvTranspose2Layer : public Layer
+    {
+    public:
+        static Ptr<ConvTranspose2Layer> create(const LayerParams& params);
+        virtual void setWeights(InputArray weights, InputArray bias,
+                                int C0, int accuracy) = 0;
+        virtual bool fuseAddBias(InputArray bias) = 0;
+
+        std::vector<int> strides, dilations, pads, adjust_pads;
+        int ngroups;
+        AutoPadding auto_pad;
+    };
+
     class CV_EXPORTS LRNLayer : public Layer
     {
     public: