https://lear.inrialpes.fr/local/wiki/ 2023-09-06T10:16:09+02:00 https://lear.inrialpes.fr/local/wiki/ https://lear.inrialpes.fr/local/wiki/lib/tpl/dokuwiki/images/favicon.ico text/html 2019-12-03T17:02:52+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:exports&rev=1575388972&do=diff **NFS volumes sharing / scratchs mounting** * ''/etc/exports'' exports the local ''scratch'', ''scratch2'' and ''home'' to the ''net_thoth'' group using the ''thoth'' server: ''thoth-server.inrialpes.fr'' with certain ''read''/''write'' permissions. * ''/etc/auto.master'' is an automounter map that maps the automounter to their mount point, for instance ''/scratch /etc/auto.scratch'' * Specifically, ''/etc/auto.scratch'' mounts any directory on ''local_scratch'' on the fly. * Note that … text/html 2016-03-05T11:12:12+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:faqcaffe&rev=1457172732&do=diff Useful libraries for caffe * cudnn v4: /scratch/adrian/kshmelko/cudnn4 * gflags/glogs/lmdb are installed on all machines (if not, ask a system administrator to do it) * pycaffe: scikit-image can be found at /scratch/gpuhost7/ssaxena/software/scikit-image text/html 2018-02-19T16:49:14+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:gforge&rev=1519055354&do=diff Inria proposes different services to host GIT repository: * [[https://gitlab.inria.fr/|Inria GitLab]] (recent). * [[http://gforge.inria.fr/|Inria Forge]] (older, also support svn). ====== GitLab ====== ==== Creating a project ==== You have access to the GitLab with your Inria credentials. Your collaborators from outside Inria can create an account. TODO ==== Adding people to your project ==== TODO ==== SSH keys ==== TODO ====== GForge ====== ==== Creating a project ==== Your acc… text/html 2020-09-29T10:48:56+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:index&rev=1601369336&do=diff Tutorials Libraries and Toolkits * Nice debugger tool for python * Tool visualizing the profile of a python code * Some tips for caffe * Caffe matlab bindings on Ubuntu (needed for fastRCNN/DeepCut) * OAR tips & tricks * Playing with UR robot * Docker * Matlab at Inria System * Working from home * OAR Tutorial * Shared cluster * Access Windows Server in Inria * Use Window PC * Versioning with Inria GitLab or Inria GForge (git/svn) * NFS volume sharing text/html 2016-11-30T18:57:39+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:matlab_caffe_ubuntu&rev=1480528659&do=diff Caffe matlab bindings on Ubuntu (needed for fastRCNN/DeepCut) This “tutorial” was written on 2016-11-30. I am using: * Ubuntu 16.04.1 LTS * Matlab 2016a TLDR If you want to run caffe matlab bindings, copy the matlab folder and symlink opencv libraries. My copy is here: text/html 2019-03-13T16:59:22+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:oar_tips&rev=1552492762&do=diff OAR-related tools FZF aliases OAR uses numeric ids for jobs and retype them every time can be really annoying. In case if you have meaningful names, there is a way to quickly select you job for whatever you need. To use those aliases you need installed FZF: text/html 2020-01-30T10:46:32+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:oar_tutorial&rev=1580377592&do=diff OAR Tutorial On this page, you will learn how to properly use the CPU and GPU clusters of the team, and especially the OAR submission system. In particular, you are highly encouraged to read the section about the “rules” and “good practices” when submitting jobs to ensure a fair use of resources among all users from the team. text/html 2016-02-20T15:59:45+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:profile&rev=1455980385&do=diff Profile in python Package RunSnakeRun python -m cProfile -o profile <commandline> python /home/lear/pweinzae/localscratch/libraries/lib/python2.7/site-packages/RunSnakeRun-2.0.4-py2.7.egg/runsnakerun/runsnake.py profile text/html 2019-08-27T16:38:48+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:robot&rev=1566916728&do=diff Playing with UR robot This page provides a few information on setting up the robot. Installation Installation could be done with Docker or without: * using Docker with `launch_docker.sh` * directly on a machine with Ubuntu 18.04 -- you can follow this text/html 2017-12-06T16:58:46+02:00 https://lear.inrialpes.fr/local/wiki/doku.php?id=tutorials:shared_cluster&rev=1512575926&do=diff Back to Tutorials How to use the shared cluster * <https://irami.inrialpes.fr/cluster-production> * <http://visu-cp.inrialpes.fr/monika> * <http://visu-cp.inrialpes.fr/drawgantt> - To access this cluster, connect to a frontend: access1-cp (Fedora 24) or access2-cp (Ubuntu 16) - Our nodes are named “nodeX-thoth” and are available with the property -p “cluster='thoth'”. The system is Ubuntu 16.04, and you have