research-rainfallradar/aimodel/slurm-pretrain.job

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#!/usr/bin/env bash
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#SBATCH -J RainAIv3
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#SBATCH -N 1
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#SBATCH -n 14
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#SBATCH --gres=gpu:1
#SBATCH -o %j.%N.%a.out.log
#SBATCH -e %j.%N.%a.err.log
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#SBATCH -p gpu05
#SBATCH --time=5-00:00:00
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#SBATCH --mem=61440
# 61440 = 60GiB memory required
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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 "Usage:" >&2;
echo -e " [INPUT='\$HOME/rainfallwater_records_tfrecord'] [POSTFIX='<string>'] sbatch slurm-pretrain.job" >&2;
echo -e "" >&2;
echo -e "....where:" >&2;
echo -e " INPUT The path to the directory containing the .tfrecord files to use as training data (see the rainfallwrangler for making these)" >&2;
echo -e " POSTFIX Optional. A suffix to apply to the run code name." >&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;
}
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INPUT="${INPUT:-$HOME/rainfallwater_records_tfrecord}";
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if [[ -z "${INPUT}" ]]; then
echo -e "Error: No INPUT environment variable specified.\n" >&2;
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show_help;
exit 0;
fi
if [[ ! -d "${INPUT}" ]]; then
echo -e "Error: The directory '${INPUT}' containing the input .tfrecord dataset either doesn't exist or isn't a directory.";
show_help;
exit 1;
fi
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CODE="pretrain_contrast";
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if [[ -n "${POSTFIX}" ]]; then
echo -e ">>> Applying postfix of ${POSTFIX}" >&2;
CODE="${CODE}_${POSTFIX}";
fi
echo -e ">>> Input dirpath: ${INPUT}" >&2;
echo -e ">>> Code: ${CODE}" >&2;
echo -e ">>> Additional args: ${ARGS}";
dir_output="output/$(date -u --rfc-3339=date)_${CODE}";
export PATH=$HOME/software/bin:$PATH;
echo ">>> Installing requirements";
conda run -n py38 pip install -r requirements.txt;
echo ">>> Training model";
#shellcheck disable=SC2086
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/usr/bin/env time -v conda run -n py38 src/index.py pretrain --input "${INPUT}" --output "${dir_output}" ${ARGS};
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echo ">>> exited with code $?";