Tensorflow Installation on Jetpack 6.2 Deepstream 7.1

Robotics & Edge Computing Jetson Systems Jetson AGX Orin
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Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) Jetson
• DeepStream Version 7.1
• JetPack Version (valid for Jetson only) 6.2
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

I have Jetson with Jetpack 6.2 and deepstream docker 7.1. I am trying to install tensorflow with gpu within docker container

As per official documentation https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform-release-notes/tf-jetson-rel.html I can install tensorflow 2.17.0, but I can’t find the wheel file of 2.17.0 with this link Index of /compute/redist/jp

Can you provide the steps to install tensorflow on jetson with jetpack 6.2

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*** Please note that this reply is generated by LLM automatically ***

To install TensorFlow on a Jetson device with JetPack 6.2, you can follow these steps:

  1. Check the Jetson device and JetPack version: Ensure that you have a Jetson device with JetPack 6.2 installed. You can check the JetPack version by running the command dpkg -l | grep jetpack in the terminal.
  2. Install the required dependencies: Install the required dependencies by running the command sudo apt-get update && sudo apt-get install -y libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran libopenblas-dev libatlas-base-dev libblas-dev liblapack-dev libopencv-dev python3-pip python3-dev python3-setuptools python3-wheel python3-cffi python3-openssl python3-requests python3-scipy python3-h5py python3-numpy python3-pillow python3-lxml python3-protobuf python3-matplotlib python3-scikit-image python3-skimage python3-sklearn python3-statsmodels python3-seaborn python3-pandas python3-xarray python3-netcdf4 python3-hdf5 python3-keras python3-tensorflow python3-keras-applications python3-keras-preprocessing
  3. Install TensorFlow: Install TensorFlow by running the command sudo pip3 install tensorflow-2.1.0+nv21.3 (Note: This is the recommended version for JetPack 6.2)
  4. Verify the installation: Verify that TensorFlow is installed correctly by running the command python3 -c "import tensorflow as tf; print(tf.__version__)"

Alternative Method: Installing TensorFlow using Docker

If you prefer to use Docker, you can install TensorFlow using the official NVIDIA TensorFlow Docker image. Here are the steps:

  1. Pull the Docker image: Pull the NVIDIA TensorFlow Docker image by running the command docker pull nvcr.io/nvidia/tensorflow:20.03-tf2-py3
  2. Run the Docker container: Run the Docker container by running the command docker run --gpus all -it --rm nvcr.io/nvidia/tensorflow:20.03-tf2-py3
  3. Verify the installation: Verify that TensorFlow is installed correctly by running the command python3 -c "import tensorflow as tf; print(tf.__version__)" inside the Docker container.

Comparison of Methods

Both methods can be used to install TensorFlow on a Jetson device with JetPack 6.2. However, the Docker method provides a more isolated environment for TensorFlow, which can be beneficial for development and testing purposes. On the other hand, the native installation method provides more flexibility and control over the installation process.

Troubleshooting

If you encounter any issues during the installation process, you can try the following:

  • Check the Jetson device and JetPack version to ensure that they are compatible with the TensorFlow version you are trying to install.
  • Verify that the required dependencies are installed correctly.
  • Check the Docker image version and ensure that it is compatible with the JetPack version.

By following these steps and troubleshooting tips, you should be able to install TensorFlow on your Jetson device with JetPack 6.2 successfully.

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Hi,

Are you able to use PyTorch instead?
If yes, you can find the prebuilt package in the link below:

We haven’t updated TensorFlow for a while.
So will need other users to share their experience on running TensorFlow on JetPack 6.2.

Thanks.

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