Tensorboard on SLURM

README.md

Environment:

Tensorflow: v0.11.0rc2 OS: CENTOS 6.8 (No root access)

Description:

1. The tensorboardSLURM.sh can be run with the following command to start a tensorboard server on a SLURM cluster:

sbatch --array=0-0 tensorboardSLURM.sh 

2. Check the tb-%J.out file for the $SERVER_IP and $SERVER_PORT your tensorboard server.

3. ssh to your cluster, passing the above variables and a $LOCAL_PORT to pass the server page to:

ssh uname@login.node.edu -L $LOCAL_PORT:$SERVER_IP:$SERVER_PORT

4. In your browers go to http://localhost:$LOCAL_PORT

Citations:

Thanks to Will McFadden for doing this first with iPython!

tensorboarSLURM.sh

#!/bin/sh

#SBATCH --ntasks=1
#SBATCH -t 04:00:00               # max runtime is 4 hours
#SBATCH -J  tensorboard_server    # name
#SBATCH -o /work/thpaul/tf_tools/tensorflow/im2txt/tb-%J.out #TODO: Where to save your output

# To run as an array job, use the following command:
# sbatch --partition=beards --array=0-0 tensorboardHam.sh
# squeue --user thpaul

source /home/thpaul/.bash_profile #TODO: Your profile
MODEL_DIR=/work/thpaul/tf_tools/tensorflow/im2txt/im2txt/model #TODO: Your TF model directory

let ipnport=($UID-6025)%65274
echo ipnport=$ipnport

ipnip=$(hostname -i)
echo ipnip=$ipnip

module load cuda/8.0 #TODO: Your Cuda Module if required

tensorboard --logdir="${MODEL_DIR}" --port=$ipnport