Exciting news! TensorFlow version 2.17.0.rc0 is released ![]()
Please note if you are a Linux user with compatible GPUs additional steps are still required in order to utilize them. More specifically:
-
Create a virtual environment with venv:
python3 -m venv tf -
Activate the environment
source tf/bin/activate -
Upgrade pip
pip install --upgrade pip -
Install TensorFlow
2.17.0.rc0
pip install tensorflow[and-cuda]==2.17.0rc0 -
Create symbolic links to NVIDIA shared libraries
pushd $(dirname $(python -c 'print(__import__("tensorflow").__file__)'))
ln -svf ../nvidia/*/lib/*.so* .
popd
- Verify installation
python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"
The pull request regarding revised instructions is pending review while the respective bug-fix for both 2.16.2 and 2.17.0 release is expected.
Happy coding!