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#!/usr/bin/env bash
#SBATCH -J RainUMAP
#SBATCH -N 1
#SBATCH -n 14
#SBATCH -o %j.%N.%a.out.log
#SBATCH -e %j.%N.%a.err.log
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#SBATCH -p highmem
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#SBATCH --time=3-00:00:00
#SBATCH --exclusive
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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_embed.jsonl.gz\"] [POSTFIX=\"some_string\"] sbatch slurm-pretrain-plot.job" >&2;
echo -e "" >&2;
echo -e "....where:" >&2;
echo -e " INPUT The path to the input file (.jsonl.gz) containing the embedded data to plot (see the pretrain-predict subcommand for embedding data)" >&2;
echo -e " POSTFIX Arbitrary string to add to filename." >&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;
}
INPUT="${INPUT:-$HOME/rainfallwater_records_embed.jsonl.gz}";
if [[ -z "${INPUT}" ]]; then
echo -e "Error: No INPUT environment variable specified.\n" >&2;
show_help;
exit 0;
fi
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if [[ ! -r "${INPUT}" ]]; then
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echo -e "Error: The input filepath at '${INPUT}' containing the input .tfrecord dataset either doesn't exist or isn't a directory.";
show_help;
exit 1;
fi
CODE="_contrast_embed_umap";
if [[ -n "${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: ${ARGS}";
filepath_output="output/gen$(date -u --rfc-3339=date)_${CODE}.png";
export PATH=$HOME/software/bin:$PATH;
echo ">>> Installing requirements";
conda run -n py38 pip install -r requirements.txt;
echo ">>> Training model";
#shellcheck disable=SC2086
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conda run -n py38 /usr/bin/env time -v src/index.py pretrain-plot -i "${INPUT}" -o "${filepath_output}" ${ARGS};
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# src/index.py pretrain --input "${INPUT}" --output "${dir_output}" ${ARGS};
echo ">>> exited with code $?";