![]() # Anything above 2.10 is not supported on the GPU on Windows Native TensorFlow-DirectML-Plugin conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0 Or install tensorflow-cpu and, optionally, try the Starting with TensorFlow 2.11, you will need to install Windows Native Caution: TensorFlow 2.10 was the last TensorFlow release that Python3 -c "import tensorflow as tf print(tf.reduce_sum(tf.random.normal()))" MacOS # There is currently no official GPU support for MacOS. ![]() Python3 -c "import tensorflow as tf print(tf.config.list_physical_devices('GPU'))" conda install -c conda-forge cudatoolkit=11.2.2 cudnn=8.1.0Įxport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/ Seeįor more information about this collaboration. The third party fails to release the pip package. The availability and integrity of this pip package. ![]() Tensorflow will use reasonable efforts to maintain Processors are built, maintained, tested and released by a third party: Linux Note: Starting with TensorFlow 2.10, Linux CPU-builds for Aarch64/ARM64
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