mirror of
https://github.com/sbrl/research-rainfallradar
synced 2024-06-24 23:54:55 +00:00
73 lines
2.4 KiB
Bash
Executable file
73 lines
2.4 KiB
Bash
Executable file
#!/usr/bin/env bash
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#SBATCH -J RainAISG
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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.out.log
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#SBATCH -e %j.%N.%a.segment.err.log
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#SBATCH -p gpu05
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#SBATCH --time=5-00:00:00
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#SBATCH --mem=51440
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# 61440 = 60GiB memory required
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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 "Usage:" >&2;
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echo -e " [INPUT='\$HOME/rainfallwater_records_tfrecord'] [POSTFIX='<string>'] [ARGS='<extra-args>'] sbatch slurm-train.job" >&2;
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echo -e "" >&2;
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echo -e "....where:" >&2;
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echo -e " INPUT The path to the directory containing the .tfrecord files to use as training data (see the rainfallwrangler for making these)" >&2;
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echo -e " POSTFIX Optional. A suffix to apply to the run code name." >&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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INPUT="${INPUT:-$HOME/PhD-Rainfall-Radar/aimodel/output/output/rainfallwater_records_embed_2022-10-06_contrast_embed_umap_d512e19_tfrecord}";
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if [[ -z "${INPUT}" ]]; then
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echo -e "Error: No INPUT environment variable specified.\n" >&2;
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show_help;
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exit 0;
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fi
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if [[ ! -d "${INPUT}" ]]; then
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echo -e "Error: The directory '${INPUT}' containing the input .tfrecord dataset either doesn't exist or isn't a directory.";
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show_help;
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exit 1;
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fi
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CODE="train_segmenter";
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if [[ -n "${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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echo -e ">>> Input dirpath: ${INPUT}" >&2;
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echo -e ">>> Code: ${CODE}" >&2;
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echo -e ">>> Additional args: ${ARGS}";
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dir_output="output/$(date -u --rfc-3339=date)_${CODE}";
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export PATH=$HOME/software/bin:$PATH;
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echo ">>> Installing requirements";
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conda run -n py38 pip install -r requirements.txt;
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echo ">>> Training model";
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#shellcheck disable=SC2086
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/usr/bin/env time -v conda run -n py38 src/index.py train --input "${INPUT}" --output "${dir_output}" ${ARGS};
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src/index.py train --input "${INPUT}" -o "${dir_output}"
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# Recommended extra args: --water-size 94 --batch-size 48 --arch convnext_i_xtiny
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# Example used for raw testing:
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# src/index.py train --input output/rainfallwater_records_embed_2022-10-06_contrast_embed_umap_d512e19_tfrecord_TINY -o output/2022-09-28-segmenter-d512e19-TEST-tiny --water-size 94 --batch-size 48 --arch convnext_i_xtiny
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echo ">>> exited with code $?";
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