No installation available of torch_tensorrt for Jet Pack 6.1

[alexoterno]

Hi,
I want to create an docker image with PyTorch, Torchvision, ONNX Runtime GPU and torch_tensorrt to use TensorRT on the Nvidia Jetson Orin Nano with Jet Pack 6.1.
From your latest docker image name dustynv/l4t-pytorch:r36.4.0, I have managed to install:

• torch (2.5.0)
• torchvision (0.20.0)
• onnxruntime-gpu (1.20.0)
  for cuda 12.6 and Python 3.10.

I run some tests and I'm able to run some torch models or onnx models, both, in the CPU and the GPU.

However, I was not able to install torch_tensorrt following and adapting your code from this Dockerfile for Jet Pack 4.6.
Have some insights to install torch_tensorrt on Jet Pack 6.1 ?

Moreover, I saw torch2trt is already installed in the dustynv/l4t-pytorch:r36.4.0 docker image. I did not really understood the difference between torch2trt and torch_tensorrt. It looks like torch2trt is for edge devices but it is not updated since 8 months. Which one is better to use for Nvidia Jetson Orin Nano with Jet Pack 6.1 and which one has the lowest inference time latency?

Thanks for sharing you docker images