- #Install cudnn ubuntu 18.04 cuda 10 how to
- #Install cudnn ubuntu 18.04 cuda 10 install
- #Install cudnn ubuntu 18.04 cuda 10 driver
- #Install cudnn ubuntu 18.04 cuda 10 Patch
- #Install cudnn ubuntu 18.04 cuda 10 upgrade
Nvidia-settings nvidia-utils-450 screen-resolution-extra xserver-xorg-video-nvidia-450Ġ upgraded, 0 newly installed, 72 to remove and 0 not upgraded.Īfter this operation, 5,042 MB disk space will be freed.
Nvidia-compute-utils-450 nvidia-dkms-450 nvidia-driver-450 nvidia-kernel-common-450 nvidia-kernel-source-450 nvidia-modprobe nvidia-prime Libnpp-dev-11-0 libnvidia-cfg1-450 libnvidia-common-450 libnvidia-decode-450 libnvidia-encode-450 libnvidia-extra-450 libnvidia-fbc1-450 Hope this can help you.I can't seem to purge NVidia's CUDA packages from my system despite having performed sudo apt-get purge cuda and also sudo apt autoremove $ sudo apt autoremoveĬuda-11-0 cuda-command-line-tools-11-0 cuda-compiler-11-0 cuda-cudart-11-0 cuda-cudart-dev-11-0 cuda-cuobjdump-11-0 cuda-cupti-11-0 cuda-cupti-dev-11-0Ĭuda-demo-suite-11-0 cuda-documentation-11-0 cuda-driver-dev-11-0 cuda-drivers cuda-drivers-450 cuda-gdb-11-0 cuda-libraries-11-0Ĭuda-libraries-dev-11-0 cuda-memcheck-11-0 cuda-nsight-11-0 cuda-nsight-compute-11-0 cuda-nsight-systems-11-0 cuda-nvcc-11-0 cuda-nvdisasm-11-0Ĭuda-nvml-dev-11-0 cuda-nvprof-11-0 cuda-nvprune-11-0 cuda-nvrtc-11-0 cuda-nvrtc-dev-11-0 cuda-nvtx-11-0 cuda-nvvp-11-0 cuda-runtime-11-0Ĭuda-samples-11-0 cuda-sanitizer-11-0 cuda-toolkit-11-0 cuda-tools-11-0 cuda-visual-tools-11-0 dkms libcublas-11-0 libcublas-dev-11-0 libcufft-11-0
#Install cudnn ubuntu 18.04 cuda 10 install
Install Tensorflow-gpuĬurrent TF version is 1.10.1, it only support up to CUDA 9.0 if using pip installation, that’s why I choose to install CUDA 9.0, this TF installation should be very easy in this situation. Sudo chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*Ĭurrently, you should install CUDA 9.0 and cuDNN 7.2 successfully. Sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/ Sudo cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include Install cuDNNĭownload the file(cudnn-9.0-linux-圆4-v7.2.1.38.tgz) from cuDNN website, please take note that you need to login as developer to start dowonload. Vefify the installation cd /usr/local/cuda/samples/1_Utilities/deviceQuery Set up cuda system path echo 'export PATH=/usr/local/cuda-9.0/bin:$PATH' > ~/.bashrcĮcho 'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' > ~/.bashrc Sudo ln -s /usr/bin/g++ /usr/local/cuda/bin/g++ Set up symlinks for gcc sudo ln -s /usr/bin/gcc /usr/local/cuda/bin/gcc
#Install cudnn ubuntu 18.04 cuda 10 Patch
Then you can install the cuBLAS patch file(total 4): chmod +x cuda_9.0.176.x_n
#Install cudnn ubuntu 18.04 cuda 10 driver
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? no (MUST SELECT NO!!!) cuda_9.0.176_384.81_linux-run -overrideĪnswer following questions while installtion begin You are attempting to install on an unsupported configuration. Prepare/Download CUDA installtion packagesĭownload the runfile installation packager from CUDA website legacy download, download base installer (cuda_9.0.176_384.81_linux-run for Ubuntu 16.04) and four patch file(cuda_9.0.176.x_n)/ Sudo update-alternatives -install /usr/bin/g++ g++ /usr/bin/g++-5 50 Sudo update-alternatives -install /usr/bin/gcc gcc /usr/bin/gcc-5 50 To install CUDA, gcc must not be newer than gcc 6.x, I choose to downgrade to gcc 5.x sudo apt install gcc-5 g++-5
Install dependent library sudo apt install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev Sudo apt install nvidia-384 nvidia-384-dev sudo add-apt-repository ppa:graphics-drivers/ppa
#Install cudnn ubuntu 18.04 cuda 10 upgrade
Note: For CUDA 9.0, it require at least nvidia-384 driver, so if your current driver version is equal to or newer than 384, you have no need to upgrade or reinstall the driver, can skip theįollowing driver installation steps. You shoud see something like “nvidia-384”, “nvidia-390”, “nvidia-396” …Ĭurrent default gcc version is 7.3 in Ubuntu 18.04.1, we need to downgrade gcc version for later CUDA installation. Verify your current NVIDIA GPU driver version nvidia-smi You shoud see the NVIDIA GPU information, for my case, I use GTX 1080Ti. Verify your NVIDIA GPU CUDA enable lspci | grep -i nvidia
#Install cudnn ubuntu 18.04 cuda 10 how to
This tutorial will guide you how to install CUDA and cuDNN for tensorflow-gpu using in Ubuntu 18.04, there are some online tutorials which always made some errors when I follow them to do the setup, it may be caused by new Ubuntu OS version and other version conflict, so I prepared a detailed guide to help on this.įirstly, you should know your development envirnment clearly, here is my pc environment and library that will be used (on ):
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