Hi, I am trying to create my own Docker container for Tensorflow on the GPU. My base is: FROM nvidia/cuda:10.1-base-ubuntu18.04 LABEL authors=“Lukas Heumos” description=“Docker image containing all requirements for running machine learning on CUDA enabled GPUs” Install some basic utilities R…

All right, I think I solved it. This is some really weird shit: so environment.yml to install that WORKS: name: tensorflow-2.1-cuda-10.1 channels: - conda-forge - defaults dependencies: - defaults::cudatoolkit=10.1 # We need to install tensorflow-gpu, since else we get: # 202…

Dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory;

AI & Data Science Deep Learning (Training & Inference) cuDNN

SunilJB April 10, 2020, 9:17am 7

Hi,

Please refer to below support matrix and make sure Linux kernel version is compatible with your CUDA version:

Also refer to below topic, in case it helps:

Thanks