1/20/2024 0 Comments Nvidia cuda toolkit uninstallPackage sources: sudo apt-get update & sudo apt-get install -y llvm-16 clang-16Īlternatively, you can download and unpack the pre-builtīelow is an example of steps you can take to set up the downloadedĬhange to the desired destination directory: ```cd ``` Run the following command if you manually add llvm apt repository to your Installation script and packages for manual installation on Linux. LLVM Debian/Ubuntu nightly packages provide an automatic TheĬurrent supported version is LLVM/Clang 16. Is the default compiler to build TensorFlow starting with TensorFlow 2.13. Install Clang (recommended, Linux only)Ĭlang is a C/C++/Objective-C compiler that is compiled in C++ based on LLVM. Sure to install the correct Bazel version from TensorFlow'sįile. If Bazelisk is not available, you can manually ForĮase of use, add Bazelisk as the bazel executable in your PATH. To build TensorFlow, you will need to install Bazel.īazel and automatically downloads the correct Bazel version for TensorFlow. Additional required dependencies are listed in theįile under REQUIRED_PACKAGES. Install the TensorFlow pip package dependencies (if using a virtualĮnvironment, omit the -user argument): pip install -U -user pip numpy wheel packaging requests opt_einsum pip install -U -user keras_preprocessing -no-deps Note: A pip version >19.0 is required to install the TensorFlow 2. Install using the Homebrew package manager: brew install python In both cases with a bit of reading of the documents, you should be able to make the reinstall process easier by skipping the driver install (very straightforward with runfile installer, with package manager would involve a force reinstall of cuda-10-0 rather than cuda).Ubuntu sudo apt install python3-dev python3-pip macOS However the runfile installer should not require any removal/uninstall. However with a bit of googling I believe you should be able to discover commands to make the package manager for your linux distro do a force reinstall. To get the package manager method to cooperate, it may be simplest to uninstall. If you have a missing component (not sure how that came about) you should be able to simply re-install the same CUDA version (10.0). I suggest following the linux install guide. The install package used was almost certainly “cuda”: cuda-10-0.x86_64 10.0.130-1 cuda It is almost certainly not:īecause there are no instructions for CUDA install anywhere that I am aware of, that refer to such a package name. Is intended to refer to the same that was used for install. The command you have used for uninstall is not contained anywhere in the linux install guide. The output of the tools you have used suggest to me that you did not use a runfile install method but actually used a package manager install method. if there is a way of restoring the file without having to reinstall cuda or how to uninstall cuda-10.0 properly, please let me know. The reason I am trying to uninstall is I am missing this file libcusolver.so.10.0ĭirectory. So I am not sure how to uninstall my cuda-10.0. I get error: No Match for argument: cuda-10-0.x86_64 Sudo /usr/local/cuda-X.Y/bin/uninstall_cuda_X.Y.plīut when I try to uninstall with command: sudo yum remove cuda-10-0.x86_64 Nontheless, I have tried all 3 methods suggested by I am confident that I have used run file to install my cuda-10.0.
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