How to setup an specific package version environment for a running an Jetson Application?

Robotics & Edge Computing Jetson & Embedded Systems Jetson TX2
1

Hello,
I would like to run a GitHub repository on my Jetson TX2. Packages requirement to run the application on the Jetson TX2 is following:

  1. Cuda 9.0
  2. OpenCV 3.4.1
  3. Caffe 1.0.0
  4. Pytorch 1.0.0
  5. Python 3.6

Packages version available currently on my JetsonTX2 are:

  1. Python 3.7
  2. CUDA 10.2
  3. PyTorch 1.0.0

I tried use the following docker command (“nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04”) to pull the docker image container; but, docker has deprecated the support for NVIDIA CUDA (mentioned on the docker website).

  1. Is there any way to install all the packages with the specific version at once?
  2. Also, versions of this packages are old so most of them are archived so how can I install the archived of the packages?
  3. Do I need to re flash the Jetson TX2 to setup this packages version environment?
3

Hi,

You can find our previous JetPack installer (v3.x) for the CUDA 9.0 environment.

However, since the package is relatively old.
It’s more recommended to modify the GitHub for the latest JetPack version.

Thanks.

1 Like
4

Thank you for your response. Is it any way to find the dependencies version of the particular version of Jetpack, instead of going through the L4T release documentation everytime?

5

Hi,

Since this depends on the environment a package built with/
Please find it in the our document for details.

Thanks.

6

Hi,
I had to downgrade to Jetpack 3.3.3 to install and run all the dependencies. Except PyTorch v1.0.0 which is archived. Thanks for your help.

9

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