mirror of
https://github.com/sbrl/research-rainfallradar
synced 2024-11-17 07:03:00 +00:00
66 lines
2.5 KiB
Bash
Executable file
66 lines
2.5 KiB
Bash
Executable file
#!/usr/bin/env bash
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#SBATCH -J DeepRain
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#SBATCH -N 1
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#SBATCH -n 14
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#SBATCH --gres=gpu:1
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#SBATCH -o %j.%N.%a.segment-mono.out.log
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#SBATCH -e %j.%N.%a.segment-mono.err.log
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#SBATCH -p gpu05,gpu
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#SBATCH --time=5-00:00:00
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#SBATCH --mem=30000
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# ---> in MiB
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module load utilities/multi
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module load readline/7.0
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module load gcc/10.2.0
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module load cuda/11.5.0
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module load python/anaconda/4.6/miniconda/3.7
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show_help() {
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echo -e "Trains a TEST DeepLabv3+ model using rainfall radar and water depth data." >&2;
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echo -e "" >&2;
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echo -e "Usage:" >&2;
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echo -e " sbatch slurm-TEST-deeplabv3p-rainfall.job" >&2;
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echo -e "" >&2;
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echo -e "....where:" >&2;
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echo -e " IMAGE_SIZE=128 Optional. Sets the size of the 'images' that the DeepLabV3+ model will work with." >&2;
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echo -e " BATCH_SIZE=64 Optional. Sets the batch size to train the model with." >&2;
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echo -e " DIR_RAINFALLWATER The path to the directory the .tfrecord files containing the rainfall radar / water depth data." >&2;
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echo -e " PATH_HEIGHTMAP The path to the heightmap jsonl file to read in." >&2;
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echo -e " PATH_COLOURMAP The path to the colourmap for predictive purposes." >&2;
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echo -e " STEPS_PER_EPOCH The number of steps to consider an epoch. Defaults to None, which means use the entire dataset." >&2;
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echo -e " POSTFIX Postfix to append to the output dir (auto calculated)." >&2;
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echo -e " ARGS Optional. Any additional arguments to pass to the python program." >&2;
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echo -e "" >&2;
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echo -e "It is strongly advised that all filepaths do NOT contain spaces." >&2;
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echo -e "" >&2;
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echo -e "The code used to identify the run is taken automatically from the filename of the config file." >&2;
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exit;
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}
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DIR_RAINFALLWATER="${DIR_RAINFALLWATER:-$HOME/rainfallwater_records_tfrecord}";
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PATH_HEIGHTMAP="${PATH_HEIGHTMAP:-$HOME/data/terrain50-nimrodsized.json.gz}";
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PATH_COLOURMAP="${PATH_COLOURMAP:-$HOME/instance-level-human-parsing/instance-level_human_parsing/human_colormap.mat}";
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CODE="train_mono";
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if [[ -n "${POSTFIX}" ]]; then
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echo -e ">>> Applying postfix of ${POSTFIX}" >&2;
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CODE="${CODE}_${POSTFIX}";
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fi
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DIR_OUTPUT="output/$(date -u --rfc-3339=date)_${CODE}";
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echo -e ">>> Additional args: ${ARGS}";
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export PATH=$HOME/software/bin:$PATH;
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export IMAGE_SIZE BATCH_SIZE DIR_RAINFALLWATER PATH_HEIGHTMAP COLOURMAP STEPS_PER_EPOCH DIR_OUTPUT;
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echo ">>> Installing requirements";
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conda run -n py38 pip install -r requirements.txt;
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echo ">>> Training model";
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#shellcheck disable=SC2086
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/usr/bin/env time -v conda run -n py38 src/deeplabv3_plus_test_rainfall.py
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echo ">>> exited with code $?";
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