Failed to build tensorrt engine with DLA enabled on Jetson Xavier NX

Description

TensorRT engine build failed with error Error Code 10: Internal Error (Could not find any implementation for node {ForeignNode[/cnn/cnn.0/Conv]}.

Environment

TensorRT Version: 8.5.2

NVIDIA GPU: Volta GPU

CUDA Version: 11.4

CUDNN Version: 8.6

Operating System: Ubuntu 20

Platform : Jetson Xavier NX

Relevant Files

Model link: https://drive.google.com/file/d/1K5kQxR0IR-SGF6Ry1V44R-bmfwF4NPPx/view?usp=sharing

Steps To Reproduce

1. Took the example model from https://github.com/NVIDIA-AI-IOT/jetson_dla_tutorial
2. Exported the model to onnx format.
3. Tried building the engine with the command /usr/src/tensorrt/bin/trtexec --onnx=model_gn.onnx --shapes=input:32x3x32x32 --saveEngine=model_gn.engine --exportProfile=model_gn.json --int8 --useDLACore=0 --allowGPUFallback --useSpinWait --separateProfileRun
4. Build failed with the error Error Code 10: Internal Error (Could not find any implementation for node {ForeignNode[/cnn/cnn.0/Conv]}
5. You can check the complete log here https://drive.google.com/file/d/1Ude0Pb3VOb_rzJhbzu_AXtlk8HUUNbzT/view?usp=drive_link

Have you tried the latest release?: N/A

Can this model run on other frameworks? For example run ONNX model with ONNXRuntime (polygraphy run <model.onnx> --onnxrt): Yes

Start by running the listed trtexec command with model_gn.onnx from the jetson_dla_tutorial example on the stated Jetson Xavier NX environment. Compare the complete log and exported model against the provided model and determine why the DLA build cannot find an implementation; done means the reproduction is explained and the engine builds successfully or the limitation is documented.