Tensorflow will use reasonableĮfforts to maintain the availability and integrity of this pip package. conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0ĬPU Note: Starting with TensorFlow 2.10, Windows CPU-builds for x86/圆4 You can get the latest update from here:įor CUDA in WSL. This corresponds to Windows 10 version 21H2, the November 2021 ![]() Windows WSL2 Note: TensorFlow with GPU access is supported for WSL2 on Windows 10 19044 or Python -c "import tensorflow as tf print(tf.config.list_physical_devices('GPU'))" # 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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