Shuffle Layers fall back to the GPU when enabling the DLA

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) Jetson AGX Orin
• DeepStream Version6.2
**• JetPack Version (valid for Jetson only)**5.1
• TensorRT Version8.5.2
I have converted a facenet model (Face Recognition) from PyTorch to .ONNX to be used in deepstream configuration file. However, running the config file to generate engine file that is running on DLA will cause shuffle layers which were are not part of the model itself to fall back to GPU.
As per TRT documentation DLA do support shuffle layers but why in my case they fall back to the GPU. Additionally, how these shuffle layers were imported to the model since the original model does not have shuffle layers.
FaceNet_DLAEngine_unsupportedLayers.txt (9.8 KB)

I have attached the log file generated during engine file creation.

Please consult in TensorRT forum.