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1. #INSTALL CUDNN UBUNTU 18.04 CUDA 10 INSTALL#
2. #INSTALL CUDNN UBUNTU 18.04 CUDA 10 DRIVERS#
3. #INSTALL CUDNN UBUNTU 18.04 CUDA 10 UPDATE#
4. #INSTALL CUDNN UBUNTU 18.04 CUDA 10 DRIVER#
5. #INSTALL CUDNN UBUNTU 18.04 CUDA 10 UPGRADE#

#add the following lines to this file to add pathĮxport PATH=$PATH:/usr/local/cuda-10.1/bin

#INSTALL CUDNN UBUNTU 18.04 CUDA 10 DRIVER#

#select everything except driver in the menu, cuda will be installed, use #installer gives warning about preexisting driver, continue #Follow installation steps by running following

#INSTALL CUDNN UBUNTU 18.04 CUDA 10 INSTALL#

#INSTALL CUDNN UBUNTU 18.04 CUDA 10 UPGRADE#

Terrance's reply helped fixing the issue of driver upgrade but had to install additional packages and set the config files.įollowing are the steps I used for cuda10.1 with nvidia 450 driver for unix 18.04īefore installing cuda from run file, we need to install Driver 13:20:46.959769: W tensorflow/stream_executor/platform/default/dso_:59] Could not load dynamic library 'libcublas.so.10' dlerror: libcublas.so.10: cannot open shared object file: No such file or directory 13:20:46.959626: I tensorflow/stream_executor/platform/default/dso_:48] Successfully opened dynamic library libcudart.so.10.1 PciBusID: 0000:01:00.0 name: GeForce RTX 2070 computeCapability: 7.5ĬoreClock: 1.62GHz coreCount: 36 deviceMemorySize: 7.79GiB deviceMemoryBandwidth: 417.29GiB/s 13:20:46.959608: I tensorflow/core/common_runtime/gpu/gpu_:1716] Found device 0 with properties: 13:20:46.959289: I tensorflow/stream_executor/cuda/cuda_gpu_:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 13:20:46.923513: I tensorflow/stream_executor/platform/default/dso_:48] Successfully opened dynamic library libcuda.so.1 Reinstalling tensorflow, Now I get this error in python 13:10:02.262260: E tensorflow/stream_executor/cuda/cuda_:313] kernel version 450.80.2 does not match DSO version 455.23.5 - cannot find working devices in this configuration Sudo apt-get install -no-install-recommends If I go forward and install libcudnn7, and tensorflow Nvidia-kernel-common-450 nvidia-kernel-source-450 nvidia-utils-450 Libnvidia-ifr1-450 nvidia-compute-utils-450 nvidia-dkms-450 nvidia-driver-450 Libnvidia-encode-450 libnvidia-extra-450 libnvidia-fbc1-450 libnvidia-gl-450 Libnvidia-cfg1-450 libnvidia-compute-450 libnvidia-decode-450 It creates 2 folders in my /usr/local cuda-10.1 cuda-10.2Īt this step, it removes 450 driver and installs 455, following are part of the messages I get Sudo apt-get install -no-install-recommends cuda-10-1 Sudo apt-get install -no-install-recommends nvidia-driver-450

#INSTALL CUDNN UBUNTU 18.04 CUDA 10 DRIVERS#

My tensorflow 2.3.1 setup with cuda 10.1 was working fine till the time I mistakenly updated nvidia drivers and cuda.įollowing are the steps I am using to install cuda 10-1 I do not expereince in that stuff before. Please also write for me the commands so i can use easily. I hope any one can help me to get my old cuda version that was before and nvidia-smi to be working. The following packages have unmet dependencies:Ĭuda-libraries-dev-10-1: Depends: libcublas-dev (>= 10.2.0.168) but it is not installedĬuda-samples-10-1: Depends: libcublas-dev (>= 10.2.0.168) but it is not installedĬuda-visual-tools-10-1: Depends: libcublas-dev (>= 10.2.0.168) but it is not installedĪnd this is my cuda version rifht now when i use the command nvcc -version i Got nvcc: NVIDIA ® Cuda compiler driver Copyright © 2005-2017 NVIDIA Corporation Built on Fri_Nov_3_21:07:56_CDT_2017 Cuda compilation tools, release 9.1, V9.1.85 Transaction failed: The package system is broken If so disable them, since they are a common source of problems.įurthermore run the following command in a Terminal: apt-get install -f I have an error form the system, in the followingĬheck if you are using third party repositories. Nvidia-smi is not working any more, it says Failed to initialize NVML: Driver/library version mismatch. Sudo ln -s /usr/lib/x86_64-linux-gnu/libcudnn.so.7 /usr/local/cuda-10.0/lib64/Įcho ‘If everything worked fine, reboot now.’Īfter i reboot, then i have tried o run my code it says no NVIDIA GPU device is present: /dev/nvidia0 does not exist. Sudo ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/local/cuda/nccl/lib/ Sudo mkdir -p /usr/local/cuda-10.0/nccl/lib Sudo apt upgrade Link libraries to standard locations Sudo apt install -y libcudnn7 libcudnn7-dev libnccl2 libc-ares-dev Sudo dpkg -i nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_b Sudo apt install -y cuda Install CuDNN 7 and NCCL 2

#INSTALL CUDNN UBUNTU 18.04 CUDA 10 UPDATE#

Sudo apt-key adv -fetch-keys & sudo apt update i found a script ti install it, the following is the script in I was using the PC ubunt 18.6 with Cuda 9 and nvidia-smi was working.