L4t-tensorrt image for TRT 7 / jp45

[charlesfr.rey]

Hello,

Where can I find an l4t-tensorrt docker image for TRT 7 / JetPack 4.5, or can I built it myself ?

Similarly, are there any instructions on how to rebuild the l4t-tensorrt image for TRT 8 / JetPack 4.6 and the latest Python 3.8.xx version ?

Thanks

[dusty_nv]

@charlesfr.rey

Where can I find an l4t-tensorrt docker image for TRT 7 / JetPack 4.5, or can I built it myself ?

Hi @charlesfr.rey, on JetPack 4.x you can just use l4t-base container, because CUDA/cuDNN/TensorRT/ect get mounted into the container from the host device by the NVIDIA Container Runtime on JetPack 4.x. So l4t-base should already have these components in it.

@charlesfr.rey

Similarly, are there any instructions on how to rebuild the l4t-tensorrt image for TRT 8 / JetPack 4.6 and the latest Python 3.8.xx version ?

I believe the container image for this would be nvcr.io/nvidia/l4t-tensorrt:r8.2.1-runtime, however it would be with Python 3.6, as we build the images for the default version of Python that comes with the version of Ubuntu used (and on JetPack 4.x, that’s Ubuntu 18.04 and Python 3.6)

However, you may be able to rebuild the TensorRT Python bindings for Python 3.8, as some others on the forums have done:

Tensorrt package for python3.8 in Xavier NX with jetpack4.6

I am trying to reproduce the mlperf_inference_result_v1.1 in Xavier NX, but I got the following error message: Traceback (most recent call last): File "code/main.py", line 47, in <module> import code.common.arguments as common_args File "/workspace/projects_zhr/mlperf/inference_results_v1.1/closed/NVIDIA/code/__init__.py", line 22, in <module> from code.common import logging File "/workspace/projects_zhr/mlperf/inference_results_v1.1/closed/NVIDIA/code/common/__init__.py", line 33…