![]() Sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600 460.32.03 CUDA Version: 11.2 -+-+-+ GPU Name Persistence-M Bus-Id Disp. ![]() If I understand the description correctly, the CudaToolkit installed without the Cuda Python env is independent of the Cuda toolkit. 11.2 with CudaToolkit I want to install a Pytorch in addition to TensorFlow, which works 100 fine so far. ![]() Contains the toolkit, samples, and documentation. I have a Windows 10 machine with an nvidia 3080 card. Description cuda-toolkit-11-2 - CUDA Toolkit 11.2 meta-package Meta-package containing all the available toolkit packages related to native CUDA development. Further, I have found the index of previously available WSL2 releases of CUDA and 11.2.0-1 is listed! You can see it for yourself hereĬan anybody give me the commands to get CUDA 11.2 and cuDNN 8.1 on my WSL2 machine so that I can finally get back to coding in TensorFlow 2? I am thinking about something like this : wget Tensorflow + Pytorch install Cudatoolkit 11.2.Though, TF2 only supports certain CUDA/cuDNN combinations as shown here.The guide can be found here and is the standard guide recommended by NVIDIA. I have followed their guide to install the latest CUDA 11.8 version and it works.I am very much struggling to get NVIDIA's CUDA 11.2 and cuDNN 8.1 for TensorFlow 2 on my WSL2 machine.
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