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example_submit.sh
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/
example_submit.sh
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#!/bin/bash
#Indicate the account to charge the job to
#SBATCH --account=datascience_team
#Indicate a name to give the job. This can be anything, it's just a way to be able to easily track different jobs
#SBATCH --job-name=example-submit
#Indicate where to send information about the job
#SBATCH --mail-user=<uniqname>@umich.edu
#Indicate how often you want info about the job. In this case, you will receive an email when the job has ended
#SBATCH --mail-type=END
#Indicate how many nodes to run the job on
#SBATCH --nodes=1
#Indicate how many tasks to run on each node
#SBATCH --ntasks-per-node=1
#Indicate how many cpus to use per task
#SBATCH --cpus-per-task=1
#Indicate how much memory to use per cpu
#SBATCH --mem-per-cpu=10000m
#Indicate how long to run the job for
#SBATCH --time=1:00:00
#Indicate which partition to run the job on. In this case, we will run on the standard partition
#SBATCH --partition=standard
#Get rid of any modules that might still be running
module purge
# Create virtual env
python3 -m venv myenv
source ...
# Install the required packages from requirements.txt
pip3 ...
# Run the desired program
python3 <py_filename>