#!/bin/bash # Master watcher: chains all remaining work after ckpt-5950 full eval finishes. # # Pipeline: # 1. Wait for ckpt-5950 eval (PIDs 22637-22644) to finish # 2. Merge ckpt-5950 shards # 3. Run 20-model active-cases eval in parallel (8 GPUs × 3 rounds) # 4. Run compare_results.py to generate summary table # 5. Run 3-checkpoint train-data eval (resume_train_eval.sh) PYTHON=/mlx/users/jiashuo.fan/miniconda3/envs/abbie/bin/python3 EXP_BASE=/mnt/bn/bohanzhainas1/jiashuo/exp SCRIPT_DIR=/mlx/users/jiashuo.fan/playground/inference ACTIVE_DIR=$SCRIPT_DIR/active_cases MERGE_SCRIPT=$SCRIPT_DIR/merge_results.py LOG_DIR=$SCRIPT_DIR/logs exec >> "$LOG_DIR/post_eval_watcher.log" 2>&1 echo "============================================" echo "[watcher] Started: $(date)" # ── helpers ────────────────────────────────────────────────────────────────── wait_pids() { local pids=("$@") echo "[watcher] Waiting for PIDs: ${pids[*]}" while true; do local alive=0 for pid in "${pids[@]}"; do kill -0 "$pid" 2>/dev/null && alive=1 && break done [ $alive -eq 0 ] && break sleep 30 done echo "[watcher] PIDs done: $(date)" } # ── Step 1: wait for ckpt-5950 ─────────────────────────────────────────────── CKPT5950_PIDS=(22637 22638 22639 22640 22641 22642 22643 22644) wait_pids "${CKPT5950_PIDS[@]}" # ── Step 2: merge ckpt-5950 shards ────────────────────────────────────────── echo "[watcher] Merging ckpt-5950 results..." $PYTHON -u "$MERGE_SCRIPT" --prefix "$EXP_BASE/eval_ckpt5950_full" --num-shards 8 echo "[watcher] ckpt-5950 merge done: $(date)" # Print quick summary for f in "$EXP_BASE"/eval_ckpt*_merged.json; do [ -f "$f" ] || continue $PYTHON -c " import json, sys d = json.load(open('$f')) print(f' {sys.argv[1]}: acc={d[\"accuracy\"]:.4f} ({d[\"correct\"]}/{d[\"evaluated\"]})') " "$f" done # ── Step 3: 20-model active-cases eval ─────────────────────────────────────── echo "[watcher] Starting 20-model active-cases eval: $(date)" bash "$ACTIVE_DIR/run_parallel_models.sh" --skip-extract echo "[watcher] Active-cases eval done: $(date)" # ── Step 4: 3-checkpoint train-data eval ───────────────────────────────────── echo "[watcher] Starting 3-checkpoint train-data eval: $(date)" bash "$SCRIPT_DIR/resume_train_eval.sh" echo "[watcher] 3-checkpoint eval done: $(date)" echo "[watcher] ALL TASKS COMPLETE: $(date)"