| #SBATCH --job-name=train | |
| #SBATCH --output=%x_%j.out | |
| #SBATCH --mail-user="a.lukawski@kunsten.leidenuniv.nl" | |
| #SBATCH --mail-type="ALL" | |
| #SBATCH --mem=100M | |
| #SBATCH --time=00:05:00 | |
| #SBATCH --partition=gpu-short | |
| #SBATCH --ntasks=1 | |
| #SBATCH --cpus-per-task=4 | |
| # load modules (assuming you start from the default environment) | |
| # we explicitly call the modules to improve reproducibility | |
| # in case the default settings change | |
| module load Python | |
| # Source the Python virtual environment | |
| source $HOME/data1/miditransformer/bin/activate | |
| echo "[$SHELL] #### Starting Python test" | |
| echo "[$SHELL] ## This is $SLURM_JOB_USER on $HOSTNAME and this job has the ID $SLURM_JOB_ID" | |
| # get the current working directory | |
| export CWD=$(pwd) | |
| echo "[$SHELL] ## current working directory: "$CWD | |
| # get the current working directory | |
| export CWD=$(pwd) | |
| echo "[$SHELL] ## current working directory: "$CWD | |
| # Run the file | |
| echo "[$SHELL] ## Run script" | |
| python3 train.py | |
| echo "[$SHELL] ## Script finished" | |
| echo "[$SHELL] #### Finished Python test. Have a nice day" |