| #SBATCH --job-name=eval_a1_revised | |
| #SBATCH --nodes=1 | |
| #SBATCH --ntasks=1 | |
| #SBATCH --cpus-per-task=4 | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --mem=32000M | |
| #SBATCH --time=4:00:00 | |
| #SBATCH --output=logs/eval_a1_revised_%j.out | |
| #SBATCH --error=logs/eval_a1_revised_%j.err | |
| set -euo pipefail | |
| PROJECT_DIR="${PROJECT_DIR:-$PWD}" | |
| cd "$PROJECT_DIR" | |
| source .venv/bin/activate | |
| echo "=== Evaluating Phase A1-Revised Enhanced Models ===" | |
| echo "" | |
| DATASET="/scratch/$USER/dovla/experiments/maniskill_presuccess_six_task_collection" | |
| MODEL_DIR="/scratch/$USER/dovla/experiments/phase_a1_revised_enhanced" | |
| for SEED in 0 1 2; do | |
| CHECKPOINT="$MODEL_DIR/seed_$SEED/best.pt" | |
| OUT="$MODEL_DIR/seed_$SEED/lattice_eval.json" | |
| echo "Evaluating seed $SEED..." | |
| python scripts/eval_lattice_checkpoint.py \ | |
| --checkpoint "$CHECKPOINT" \ | |
| --dataset "$DATASET" \ | |
| --out "$OUT" \ | |
| --all-groups \ | |
| --device cuda | |
| if [ $? -eq 0 ]; then | |
| echo "✅ Seed $SEED complete" | |
| python -c " | |
| import json | |
| with open('$OUT') as f: | |
| data = json.load(f) | |
| succ = data.get('selected_success_rate', 0) | |
| top1 = data.get('top1_action_selection', 0) | |
| rank = data.get('pairwise_ranking_accuracy', 0) | |
| print(f' Success: {succ:.4f} | Top1: {top1:.4f} | Rank: {rank:.4f}') | |
| " | |
| else | |
| echo "❌ Seed $SEED failed" | |
| fi | |
| echo "" | |
| done | |
| echo "✅ All Phase A1-Revised evaluations complete!" | |