File size: 2,913 Bytes
cb5f642 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | #!/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)"
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