research-rainfallradar/aimodel/slurm-TEST-deeplabv3p-rainfall.job

67 lines
2.6 KiB
Plaintext
Raw Normal View History

#!/usr/bin/env bash
#SBATCH -J DeepRain
#SBATCH -N 1
#SBATCH -n 14
#SBATCH --gres=gpu:1
2023-01-05 19:47:51 +00:00
#SBATCH -o %j.%N.%a.deeplab-rainfall.out.log
#SBATCH -e %j.%N.%a.deeplab-rainfall.err.log
#SBATCH -p gpu05,gpu
#SBATCH --time=5-00:00:00
#SBATCH --mem=30000
# ---> in MiB
module load utilities/multi
module load readline/7.0
module load gcc/10.2.0
module load cuda/11.5.0
module load python/anaconda/4.6/miniconda/3.7
show_help() {
echo -e "Trains a TEST DeepLabv3+ model using rainfall radar and water depth data." >&2;
echo -e "" >&2;
echo -e "Usage:" >&2;
echo -e " sbatch slurm-TEST-deeplabv3p-rainfall.job" >&2;
echo -e "" >&2;
echo -e "....where:" >&2;
echo -e " IMAGE_SIZE=128 Optional. Sets the size of the 'images' that the DeepLabV3+ model will work with." >&2;
echo -e " BATCH_SIZE=64 Optional. Sets the batch size to train the model with." >&2;
echo -e " DIR_RAINFALLWATER The path to the directory the .tfrecord files containing the rainfall radar / water depth data." >&2;
echo -e " PATH_HEIGHTMAP The path to the heightmap jsonl file to read in." >&2;
echo -e " PATH_COLOURMAP The path to the colourmap for predictive purposes." >&2;
echo -e " STEPS_PER_EPOCH The number of steps to consider an epoch. Defaults to None, which means use the entire dataset." >&2;
echo -e " POSTFIX Postfix to append to the output dir (auto calculated)." >&2;
echo -e " ARGS Optional. Any additional arguments to pass to the python program." >&2;
echo -e "" >&2;
echo -e "It is strongly advised that all filepaths do NOT contain spaces." >&2;
echo -e "" >&2;
echo -e "The code used to identify the run is taken automatically from the filename of the config file." >&2;
exit;
}
DIR_RAINFALLWATER="${DIR_RAINFALLWATER:-$HOME/rainfallwater_records_tfrecord}";
PATH_HEIGHTMAP="${PATH_HEIGHTMAP:-$HOME/data/terrain50-nimrodsized.json.gz}";
2023-01-05 19:35:56 +00:00
PATH_COLOURMAP="${PATH_COLOURMAP:-$HOME/data/instance-level-human-parsing/instance-level_human_parsing/human_colormap.mat}";
2023-01-05 19:42:42 +00:00
CODE="deeplabv3+_rainfall";
if [[ -n "${POSTFIX}" ]]; then
echo -e ">>> Applying postfix of ${POSTFIX}" >&2;
CODE="${CODE}_${POSTFIX}";
fi
DIR_OUTPUT="output/$(date -u --rfc-3339=date)_${CODE}";
echo -e ">>> Additional args: ${ARGS}";
export PATH=$HOME/software/bin:$PATH;
2023-01-05 17:42:20 +00:00
export IMAGE_SIZE BATCH_SIZE DIR_RAINFALLWATER PATH_HEIGHTMAP PATH_COLOURMAP STEPS_PER_EPOCH DIR_OUTPUT;
echo ">>> Installing requirements";
conda run -n py38 pip install -r requirements.txt;
echo ">>> Training model";
#shellcheck disable=SC2086
/usr/bin/env time -v conda run -n py38 src/deeplabv3_plus_test_rainfall.py
echo ">>> exited with code $?";