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#!/bin/sh
#
# running a Jupyter Notebook in Slurm.
#
#SBATCH --job-name=jupyter-notebook # The job name.
#SBATCH -c 6 # The number of cpu cores to use.
#SBATCH --time=5:00:00 # The time the job will take to run.
#SBATCH --mem-per-cpu=1gb # The memory the job will use per cpu core.
#SBATCH --gres=gpu:1 # The number of GPUs (1) and the (optional) variety (gtx1080)
ml anaconda3-2019.03
# conda activate myenvironment
# The above command here is where you would activate your custom conda environment (note the environment must have jupyter installed see https://jupyter.org/install )
XDG_RUNTIME_DIR=""
jupyter notebook --no-browser --ip=$(hostname -I | awk '{print $1}') --port=$(shuf -i 8888-9000 -n1)
# End of script |
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