Install Multiple version of Cuda-CodePudding

I have an ubuntu 18.04 VM system with Cuda 10.2 already installed. I have to run a training of a coda on a GPU, but when I run it I get some errors like:

Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.2/lib64:/usr/local/cuda-10.2/lib64:

So I think I have to install Cuda 10.0. Is it possible to have multiple version of Cuda installed? How can I add Cuda 10.0?

I want to run my training on Nvidia GPU

CodePudding user response：

CUDA supports installation of multiple versions at the same time. Here is the CUDA 10.0 download archive link: https://developer.nvidia.com/cuda-10.0-download-archive

Once you have installed CUDA, you can specify for your code to look for CUDA 10.0 libraries by defining environment variable LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64.

CodePudding user response：

I succeed Installing Cuda 10.0, downloaded Cudnn 7.4.2, extracted the .tgz file in the cuda-10.0 folder. Now I got this:

I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0

I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7

E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR

how can I solve this?