# 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

Install cuda linux command line