| #SBATCH -A YOUR_ACCOUNT # EDIT: your SLURM account | |
| #SBATCH -p gpu # EDIT: your GPU partition name | |
| #SBATCH --nodes 1 | |
| #SBATCH --gpus-per-node 1 | |
| #SBATCH --ntasks-per-node 1 | |
| #SBATCH -c 32 | |
| #SBATCH -t 02:00:00 | |
| #SBATCH --job-name=strict-ours | |
| #SBATCH -o logs/strict-%j.out | |
| #SBATCH -e logs/strict-%j.out | |
| # SLURM copies the submitted script into a per-job spool dir before running it on this | |
| # cluster, so locating the repo via ${BASH_SOURCE[0]} resolves to that spool path, not | |
| # the real one ("/var/lib/slurm/..." errors downstream) -- a real failure mode hit | |
| # repeatedly in practice. $SLURM_SUBMIT_DIR is set by sbatch to the directory it was | |
| # invoked from, immune to that copy, and matches this repo's own submit-from-root | |
| # convention (see scripts/slurm/README.md point 6). | |
| STOICHEIA_ROOT="${SLURM_SUBMIT_DIR:-$PWD}" | |
| export STOICHEIA_ROOT | |
| # Strict-protocol eval of OUR model on the frozen samples file. | |
| # Usage: sbatch scripts/slurm/insc_strict_ours.sbatch <ckpt> <lengths> <out.json> [shard i,k] [samples file] | |
| set -euo pipefail | |
| CKPT="${1:?ckpt}"; LENGTHS="${2:?lengths}"; OUT="${3:?out}"; SHARD="${4:-}" | |
| INS_ROOT=$STOICHEIA_ROOT | |
| # Sourced ONCE here, at the top-level sbatch shell -- see the finetune launchersatch for why | |
| # (re-sourcing env.sh inside a remote srun'd `bash -lc` can silently leave $SIF unset). | |
| source "$INS_ROOT/env.sh" | |
| SAMPLES="${5:-$INS_DATA/strict_test_samples.json}" | |
| srun apptainer exec --nv $APPTAINER_BINDS $SIF bash -lc " | |
| set -e | |
| export PYTHONPATH=$STOICHEIA_ROOT | |
| cd $INS_ROOT | |
| python insc/eval/restore_strict.py --ckpt $CKPT --samples $SAMPLES \ | |
| --lengths $LENGTHS --out $OUT ${SHARD:+--shard $SHARD} | |
| " | |
| echo STRICT_OURS_DONE | |