Download slurm/generate_array.sbatch from jyliuAI/diffusion_baseline: direct link, hf CLI and curl.
- Browser
- Download file 1.22 kB
-
https://huggingface.co/jyliuAI/diffusion_baseline/resolve/main/slurm/generate_array.sbatch
- Command line
-
hf download hf://jyliuAI/diffusion_baseline/slurm/generate_array.sbatch
-
curl -L -o generate_array.sbatch https://huggingface.co/jyliuAI/diffusion_baseline/resolve/main/slurm/generate_array.sbatch
1.22 kB
| # Submit with an explicit site-specific array, e.g. --array=0-129. | |
| # No partition, GPU type, or walltime is hard-coded here. | |
| #SBATCH --job-name=dlb-generate | |
| #SBATCH --output=results/logs/slurm-generate-%A_%a.out | |
| #SBATCH --error=results/logs/slurm-generate-%A_%a.err | |
| set -euo pipefail | |
| ROOT="${DLB_ROOT:-${SLURM_SUBMIT_DIR}}" | |
| MATRIX="${DLB_MATRIX:-$ROOT/results/matrix/generation.tsv}" | |
| if [[ ! -f "$MATRIX" ]]; then | |
| PYTHONPATH="$ROOT/src${PYTHONPATH:+:$PYTHONPATH}" "${DLB_PYTHON:-python}" -m dlb.matrix \ | |
| --root "$ROOT" --output "$MATRIX" --sample-count 1024 --seed 42 | |
| fi | |
| line_number=$((SLURM_ARRAY_TASK_ID + 3)) | |
| IFS=$'\t' read -r task_id category model dataset steps sample_count seed environment adapter source provenance sample_dir metrics_path timing_path \ | |
| < <(sed -n "${line_number}p" "$MATRIX") | |
| [[ -n "${task_id:-}" && "$task_id" != "task_id" ]] || { echo "invalid matrix row $line_number" >&2; exit 2; } | |
| mkdir -p "$ROOT/results/logs" | |
| export PYTHONPATH="$ROOT/src${PYTHONPATH:+:$PYTHONPATH}" | |
| exec "${DLB_CONDA:-conda}" run -n "$environment" python -m dlb.runner \ | |
| --root "$ROOT" --model "$model" --dataset "$dataset" --steps "$steps" \ | |
| --num-samples "$sample_count" --seed "$seed" | |