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#!/bin/bash
#PBS -m abe
#PBS -M YourEmail@griffithuni.edu.au

#PBS -N  myJupyterJob
###If not  cembd_jlab
#PBS -q dljun

#PBS -W group_list=deeplearning -A deeplearning
###Other options group_list=aspen -A aspenusing gpu,you should not request gpuq2. You can use workq or something similar
#PBS -q gpuq2
### Number of nodes:Number of CPUs:Number of threads per node.
###If not using gpu,you should not request ngpus
#PBS -l select=1:ncpus=161:ngpus=1:mem=100gb10gb,walltime=60010:00:00
###PBS
-l select=1:ncpus=32:ngpus=0:mem=100gb,walltime=300:00:00
### Add current shell environment to job (comment out if not needed)
# The job's working directory
cd $PBS_O_WORKDIR
module load pythonanaconda3/3.8.8
module load gcc/4.9.32021.11
#activate your env
#source activate  protein
source /usr/local/bin/s3proxy.sh
unset PYTHONPATH
source venv_temp_py38/bin/activate
jupyter -lab --no-browser --port=56788889 --ip=0.0.0.0