list all docker running containers:
docker ps
list all docker containers running and stopped:
list all docker running containers:
docker ps
list all docker containers running and stopped:
Reference: http://www.thegeekstuff.com/2011/07/rsync-over-ssh-without-password/
$ sudo apt-get install rsync
Setup ssh so that it doesn’t ask for password when performing ssh. Use ssh-keygen
on local machine to generate public and private keys.
This guide is developed and tested using Ubuntu 16.04 as a host computer
.
This is a hands-on guide for Continuous Integration of Flask Apps and Dockerized Flask Apps.
This is a summary of the process I lived in order to enable my system with CUDA9.2, cuDNN7.2.1, Tensorflow1.8 and NVIDIA GEFORCE GTX860M GPU. You can just skip the steps marked with FAILED
. I decided to keep them there in order to be useful for others who tried those paths too.
FAILED
(Next section is successfull) Install NVIDIA driver (FAILED, THIS WILL INSTALL DRIVER 390 which is not compatible with CUDA9.2):ubuntu-drivers devices
first install java:
sudo add-apt-repository ppa:webupd8team/java
sudo apt-get update
sudo apt-get install oracle-java8-installer