#!/bin/bash
#SBATCH --job-name=al2_test_loss_late
#SBATCH --mail-type=FAIL,END
#SBATCH --mail-user=dingqy@umich.edu
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=4
#SBATCH --mem-per-cpu=11GB
#SBATCH --time=1:30:00
#SBATCH --account=ahowens1
#SBATCH --partition=spgpu
#SBATCH --qos=foe
#SBATCH --reservation=spgpu_foe_nodes
#SBATCH --gres=gpu:a40:1
#SBATCH --output=/nfs/turbo/coe-ahowens-nobackup/dingqy/al2_test_loss_late-%j.log
#
# Extension sweep: ControlNet step 32k-52k. Fills the gap after the previous
# sweep stopped at 30k. HF has 32-48k+52k (skipped 50k); local turbo has 50k.
set -eu

source /nfs/turbo/coe-ahowens-nobackup/dingqy/miniforge3/etc/profile.d/conda.sh
source /home/dingqy/.hf_token
export HF_CACHE=/nfs/turbo/coe-ahowens-nobackup/dingqy/.cache/huggingface

conda activate new_audioldm

OUT=/nfs/turbo/coe-ahowens-nobackup/dingqy/al2_test_loss_shard_late.json

CKPTS=$(printf 'audioldm2_bg2fg_controlnet_rebalance/step_%08d ' \
        32000 34000 36000 38000 40000 42000 44000 46000 48000 52000)
LOCAL_50K=/nfs/turbo/coe-ahowens-nobackup/dingqy/AudioLDM-training-finetuning/log/audioldm2_v2/audioldm2_bg2fg_controlnet_rebalance/step_00050000
CKPTS="$CKPTS $LOCAL_50K"

echo "ckpts: $CKPTS"
echo "out:   $OUT"

python /nfs/turbo/coe-ahowens-nobackup/dingqy/eval_audioldm2_test_loss.py \
    --ckpts $CKPTS \
    --out "$OUT" \
    --batch-size 8 --num-workers 4

echo ""
echo "=== sorted by step ==="
python -c "
import json, re
r = json.load(open('$OUT'))
def step(k):
    return int(re.search(r'step_0*(\d+)', k).group(1))
for k in sorted(r.keys(), key=step):
    s = step(k)
    print(f'  step={s:>5}  loss={r[k][\"test_loss\"]:.5f}')
"