These latter features may be used to override decisions made by apt-get's conflict resolution system. Similarly a plus sign can be used to designate a package to install. If a hyphen is appended to the package name (with no intervening space), the identified package will be removed if it is installed. The /etc/apt/sources.list file is used to locate the desired packages. CUDA Toolkit 11.7 Downloads NVIDIA Developer CUDA Toolkit 11.7 Downloads Home Select Target Platform Click on the green buttons that describe your target platform. By default, it is located in /usr/local/cuda-7.5/bin: sudo /usr/local/cuda-7.5/bin/uninstallcuda7.5. All packages required by the package(s) specified for installation will also be retrieved and installed. To uninstall the CUDA Toolkit, run the uninstallation script provided in the bin directory of the toolkit. Each package is a package name, not a fully qualified filename. APT simplifies the process of managing software on Unix-like computer systems by automating the retrieval, configuration and installation of software packages, either from precompiled files or by compiling source code.Īpt-get is the command-line tool for handling packages, and may be considered the user's "back-end" to other tools using the APT library.Īpt-get install is followed by one or more packages desired for installation or upgrading. suggestsĬonda install -c nvidia cudatoolkit (v10.2.More information about install using apt-getĪdvanced Package Tool, or APT, is a free software user interface that works with core libraries to handle the installation and removal of software on Debian, Ubuntu and other Linux distributions. View by Category then click Uninstall a program. But when I run nvidia-smi, I have the following problem: phung. Suppose I want to update to CUDA 10.2 without breaking anything. Way 1: Uninstall Nvidia drivers from Control Panel Open Control Panel. sudo apt-get purge -auto-remove nvidia-cuda-toolkit user123random November 19, 2018, 8:33am 3. Miraculously, because I have no idea how all this fits together, and no recovery plan.Īre these parts of CUDA stored in usr/local or in the Conda environment site packages? To uninstall the CUDA Toolkit using Conda, run the following command: conda remove cuda 2.4.4. Uninstall and Install conda remove pytorch torchvision cudatoolkit conda install pytorch1.6.0 torchvision0.7.0 cudatoolkit10.1.168 -c pytorch Say yes to everything for the above commands. (Maybe removing the other CUDAs by force would have worked I don’t know)Īll the obsolete CUDAs are now gone from usr/local, 10 GB freed up, and, miraculously, fastai still works. I removed it by force with “sudo rm -rf CUDA-8.0”. I updated my Nvidia drivers, CUDA Toolkit and my tensorflow without any luck. This was done by selecting each package (about 40 of them), hitting Delete, then Apply. So, I was trying to use my GPU for the running a tensorflow code, but everytime it would run on CPU. I used it to remove every package that mentioned CUDA 9.1 or CUDA 9.2. And it seems that at some point it broke something. re-installed another version of CUDA over my first one (something like CUDA 11.1.75 if I read correctly ). If so, then no you do not need to uninstall your local CUDA toolkit, as the binaries will use their CUDA runtime. conda install pytorch torchvision torchaudio cudatoolkit11.1 -c pytorch -c nvidia. I guess you are referring to the binaries (pip wheels and conda binaries), which both ship with their own CUDA runtime. To install this package run one of the following:conda install -c nvidia cuda-toolkit conda install -c 'nvidia/label/cuda-11.3.0' cuda-toolkit conda install -c 'nvidia/label/cuda-11.3.1' cuda-toolkit conda install -c 'nvidia/label/cuda-11.4.0' cuda-toolkit conda install -c 'nvidia/label/cuda-11.4. Synaptic Package Manager is a graphical front-end to apt, appropriate for us GUI dinosaurs. I have installed cuda 11.6, and realize now that 11.3 is required. This method is suitable for CUDA 10.1 and CUDA 10.2. sudo /usr/local/cuda-10.2/bin/cuda-uninstaller cuda-10.x you need to write your version. I never got a reply, so stumbled ahead into the fog. Removing CUDA version > 10.0 If your CUDA version is higher than 10.0not include 10.0, you can use the uninstall program to do it.
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