Nvidia cuda toolkit8/11/2023 The result will look like this: nvcc: NVIDIA (R) Cuda compiler driverĬopyright (c) 2005-2017 NVIDIA CorporationĬuda compilation tools, release 9.0, V9.0.176 NOTE: How do you figure out which cuda has been installed on your Ubuntu system?īy using the command nvcc, you can see that my cuda version is 9.0 in the last line of the nvcc result. There is a file named uninstall_cuda_9.0.pl in this directory (please note that the cuda version is 9.0, so run the uninstall_cuda_9.0.pl to remove cuda completely from your system! chmod +x uninstall_cuda_9.0.plĪs soon as you enter your password, the cuda files will be erased. You need to change your directory to the cuda's path, which is by default /usr/local/cuda-x.y/bin where x.y is your cuda version, you can do this by using the below command: (I have cuda 9.0= x.y) cd /usr/local/cuda-9.0/bin Which packages should I remove and which should not be removed to get this done?įor removing cuda, Nvidia has prepared a file (I presume this is a standard method). Packages, like bumblebee, I want to remain as they are. I'd like to remove only what is needed to install the newest CUDA toolkit. Ii nvidia-visual-profiler 5.5.22-3ubuntu1 amd64 NVIDIA Visual Profiler Ii nvidia-settings 331.20-0ubuntu8 amd64 Tool for configuring the NVIDIA graphics driver Ii nvidia-profiler 5.5.22-3ubuntu1 amd64 NVIDIA Profiler for CUDA and OpenCL Ii nvidia-opencl-icd-331 331.38-0ubuntu7.1 amd64 NVIDIA OpenCL ICD Ii nvidia-opencl-dev:amd64 5.5.22-3ubuntu1 amd64 NVIDIA OpenCL development files Ii nvidia-nsight 5.5.22-3ubuntu1 amd64 NVIDIA Nsight Eclipse Edition Ii nvidia-libopencl1-331 331.38-0ubuntu7.1 amd64 NVIDIA OpenCL Driver and ICD Loader library Ii nvidia-cuda-toolkit 5.5.22-3ubuntu1 amd64 NVIDIA CUDA toolkit Ii nvidia-cuda-gdb 5.5.22-3ubuntu1 amd64 NVIDIA CUDA GDB Ii nvidia-cuda-doc 5.5.22-3ubuntu1 all NVIDIA CUDA and OpenCL documentation Ii nvidia-cuda-dev 5.5.22-3ubuntu1 amd64 NVIDIA CUDA development files Ii libnvvm2:amd64 5.5.22-3ubuntu1 amd64 NVIDIA CUDA Compiler NVVM runtime library Ii libnvtoolsext1:amd64 5.5.22-3ubuntu1 amd64 NVIDIA Tools Extension Ii libnpps5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA Performance Primitives for signal processing runtime library Ii libnppi5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA Performance Primitives for image processing runtime library Ii libnppc5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA Performance Primitives core runtime library Ii libcusparse5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA CUDA Sparse Matrix runtime library Ii libcurand5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA CUDA Random Numbers Generation runtime library Ii libcuinj64-5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA CUDA INJ runtime library (64-bit) Ii libcufftw5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA CUDA FFTW runtime library Ii libcufft5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA CUDA FFT runtime library Ii libcudart5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA CUDA runtime library Ii libcuda1-331 331.38-0ubuntu7.1 amd64 NVIDIA CUDA runtime library Ii libcublas5.5:amd64 5.5.22-3ubuntu1 amd64 NVIDIA CUDA BLAS runtime library Ii bumblebee-nvidia 3.2.1-90~trustyppa1 amd64 NVIDIA Optimus support using the proprietary NVIDIA driver Ii bumblebee 3.2.1-90~trustyppa1 amd64 NVIDIA Optimus support I get the following output: ii bbswitch-dkms 0.8-1~trustyppa1 all Interface for toggling the power on NVIDIA Optimus video cards I want to remove what I've installed earlier and install a new CUDA 6.5 toolkit,Īfter typing this in the terminal: dpkg -l | grep -i nvidia, But now it is clear that conda carries its own cuda version which is independent from the NVIDIA one.I installed the CUDA 5.5 package on Ubuntu 14.04 (which is not supported for this version of Ubuntu version), and I didn't do it well. If both versions were 11.0 and the installation size was smaller, you might not even notice the possible difference. The question arose since pytorch installs a different version (10.2 instead of the most recent NVIDIA 11.0), and the conda install takes additional 325 MB. Taking "None" builds the following command, but then you also cannot use cuda in pytorch: conda install pytorch torchvision cpuonly -c pytorchĬould I then use NVIDIA "cuda toolkit" version 10.2 as the conda cudatoolkit in order to make this command the same as if it was executed with cudatoolkit=10.2 parameter? Taking 10.2 can result in: conda install pytorch torchvision cudatoolkit=10.2 -c pytorch If you go through the "command helper" at, you can choose between cuda versions 9.2, 10.1, 10.2 and None. In other words: Can I use the NVIDIA "cuda toolkit" for a pytorch installation? One of these questions:ĭoes conda pytorch need a different version than the official non-conda / non-pip cuda toolkit at
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