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Refactoring docker images, updating CUDA to 12.6 and pytorch 2.6

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ekoc committed 2025-02-12 22:01:34 +01:00
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DOCKER_README.md
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@@ -36,7 +36,7 @@ The Docker image currently works on Windows and Linux, optionally supporting NVI
4. Download CUDA toolkit keyring: `wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.1-1_all.deb`
5. Install keyring: `sudo dpkg -i cuda-keyring_1.1-1_all.deb`
6. Update package list: `sudo apt-get update`
7. Install CUDA toolkit: `sudo apt-get -y install cuda-toolkit-12-4`
7. Install CUDA toolkit: `sudo apt-get -y install cuda-toolkit-12-6`
8. Install Docker Desktop using WSL2 as the backend
9. Restart
10. If you wish to monitor the terminal remotely via SSH, follow [this guide](https://www.hanselman.com/blog/how-to-ssh-into-wsl2-on-windows-10-from-an-external-machine).