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python-tensorflowHow can I set up TensorFlow on a Jetson Nano using Python 3.8?


To set up TensorFlow on a Jetson Nano using Python 3.8, follow these steps:

  1. Install the JetPack SDK on the Jetson Nano. This will provide the necessary dependencies for TensorFlow.
  2. Install Python 3.8 on the Jetson Nano.
  3. Install the TensorFlow library with the following command:
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev libhdf5-dev libblas-dev liblapack-dev libatlas-base-dev gfortran
  1. Use pip to install TensorFlow:
pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v44 tensorflow
  1. Verify the installation by running the following command:
python3 -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

Output example

tf.Tensor(-43.594742, shape=(), dtype=float32)
  1. Finally, test a TensorFlow program on the Jetson Nano by running the following command:
python3 -m tensorflow.examples.tutorials.mnist.input_data
  1. For more information, please refer to the official TensorFlow documentation.

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