How to make this repository work on Jetson Nano with r32.4.2?

[sleebapaul]

My System

Trace of cat /etc/nv_tegra_release

# R32 (release), REVISION: 4.2, GCID: 20074772, BOARD: t210ref, EABI: aarch64, DATE: Thu Apr 9 01:22:12 UTC 2020

What I've done?

1. I've downloaded the latest Jetpack SDk from here.

2. The file name was nv-jetson-nano-sd-card-image-r32.4.2.zip. Flashed it using Baleno Etcher.

3. Installed TensorFlow 1.13.1 using the command mentioned in this repository.

   pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v42 tensorflow-gpu==1.13.1+nv19.5 --user

4. Then comes the following error. TensorFlow 1.13.1 requires CUDA 10.0 and it can't find the same in the Jetson Nano.

ImportError: libcublas.so.10.0: cannot open shared object file: No such file or directory

5. Because, by default, the CUDA version installed in Jetson Nano is 10.2.

6. Another issue is TensorRT version. TensorFlow 1.13.1 is built for TensorRT 5.0. The default TensorRT version is 7.1.

Questions

1. Can I downgrade the CUDA version to 10.0 ? How to do that?

   • The CUDA version is not recommended to be downgraded.

2. Can I downgrade the TensorRT version to 5? How to do that?

   • There is a work around mentioned by @AastaNV on discussion forum which points out to this repository. What exactly it is?

3. How to make this repository work on r32.4.2?

[Mustapha-AJEGHRIR]

No news on this issue?