Update README.md

README.md

@@ -8,7 +8,7 @@ This repository contains materials for the Deep Learning tutorial of the Intuido
 
 You will need a working `ssh` with private and public key pairs.
 
-#### Windows:
+#### For Windows users:
 
 Install git for windows https://git-scm.com/downloads.
 This will install `Git Bash` with the three programs you will need: `ssh`, `ssh-keygen` and `ssh-copy-id`.
@@ -26,25 +26,61 @@ Maintenant, vous pouvez vous connecter sur le front-end de la grille en utilisan
 ssh $USER@igrida-oar-frontend
 ```
 
-### Launching jobs
+## Launching IGRIDA jobs for the tutorial
 
 In order to launch jobs on IGRIDA, you need to submit jobs using the `oarsub` command:
 
 ```bash
-oarsub -I
+# create the job
+oarsub -S -t timesharing -l /nodes=1/core=4/gpu_device=1,walltime=01:30:0 scripts/run_igrida_staller.sh
+# connect to it using the OAR_JOB_ID, you can list your jobs with oarstat -u
+oarsub -C JOB_ID
 ```
 
-This will launch a _interactive_ job for _10 minutes_ on _any_ node/server of IGRIDA with only _1 core_ allocated to you
+You can find the script `scripts/run_igrida_staller.sh` [here](scripts/run_igrida_staller.sh).
 
-#### On GPU node
+More info at http://igrida.gforge.inria.fr/
+
+## Clone the project
 
-To launch a job using one gpu on any gpu node with a duration of 30 minutes:
+You can now clone the project on igrida with git:
 
 ```bash
-oarsub -I -l /gpu_device=1,walltime=0:30:0
+cd where_ever_you_want
+git clone https://gitlab.inria.fr/kchoi/Deep_Learning_tutorial.git
 ```
 
-More info at http://igrida.gforge.inria.fr/
+## Load python environment and the jupyter notebook
+
+You can source the python environment using the following command:
+
+```bash
+# replace gpu by cpu if on an cpu only node
+source /temp_dd/igrida-fs1/kchoi/miniconda3/bin/activate gpu
+```
+
+Next, run the jupyter notebook from which we will be doing the tutorial:
+
+```bash
+jupyter notebook --ip=* --no-browser
+# output
+
+[W 20:14:43.648 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
+[I 20:14:43.681 NotebookApp] Serving notebooks from local directory: /udd/user
+[I 20:14:43.681 NotebookApp] 0 active kernels
+[I 20:14:43.682 NotebookApp] The Jupyter Notebook is running at:
+[I 20:14:43.682 NotebookApp] http://[all ip addresses on your system]:8888/?token=ad046861594b9231e8f9c82860e7b25ca13d7637aee7aee5
+[I 20:14:43.682 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
+[C 20:14:43.684 NotebookApp]
+
+    Copy/paste this URL into your browser when you connect for the first time,
+    to login with a token:
+        http://localhost:8888/?token=ad046861594b92...
+```
 
+Follow the output of the command and connect to the link `http://igrida-abacus:8888/?token=ad046861594b923...`.
+Remember to replace `localhost` to the server you actually are running a job on.
 
+Once you have loaded the jupyter notebook on your browser, you can start the tutorial by the opening the first [notebook]().
 
+That's all for now, happy tutorial!
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