| #!/usr/bin/env bash |
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| set -euo pipefail |
| cd "$(dirname "$0")/.." |
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| MODEL=${MODEL:-/root/OnlineLong_ft/work_dirs/phase3_qbase_full_hybrid_lr1e-5} |
| BASELINE=${BASELINE:-results/phase3_qbase_full_hybrid_lr1e-5} |
| OUT_ROOT=${OUT_ROOT:-results/ablate} |
| JOBS=${JOBS:?JOBS=variant:budget[:budget...],...} |
| GPUS=${GPUS:-$(nvidia-smi --query-gpu=index --format=csv,noheader | paste -sd,)} |
| BENCHMARKS=${BENCHMARKS:-"videomme mlvu longvideobench"} |
| DATA_ROOT=${DATA_ROOT:-/root/benchmarks/eval_root} |
| OL_SRC=${OL_SRC:-third_party/onlinelong_phase3} |
| NUM_WORKERS=${NUM_WORKERS:-6} |
| EXTRA=${EXTRA:-} |
| PY=${PY:-/miniconda/envs/ml/bin/python} |
| export PATH="$(dirname "${PY}"):${PATH}" |
| export PYTHONPATH="${OL_SRC}:.${PYTHONPATH:+:${PYTHONPATH}}" |
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| IFS=, read -ra GPU_LIST <<< "${GPUS}" |
| N=${#GPU_LIST[@]} |
| LOGS=${OUT_ROOT}/logs |
| mkdir -p "${LOGS}" |
| echo "[run_ablate] model=${MODEL} jobs=${JOBS} gpus=${GPUS} benchmarks=${BENCHMARKS} -> ${OUT_ROOT}" |
| for BENCH in ${BENCHMARKS}; do |
| pids=() |
| for i in "${!GPU_LIST[@]}"; do |
| CUDA_VISIBLE_DEVICES=${GPU_LIST[$i]} "${PY}" -m vbe.ablate \ |
| --model_path "${MODEL}" --benchmark "${BENCH}" --data_root "${DATA_ROOT}" \ |
| --out_root "${OUT_ROOT}" --baseline_run "${BASELINE}" --jobs "${JOBS}" \ |
| --shard_id "${i}" --num_shards "${N}" --num_workers "${NUM_WORKERS}" ${EXTRA} \ |
| > "${LOGS}/${BENCH}_shard${i}of${N}.log" 2>&1 & |
| pids+=($!) |
| done |
| fail=0 |
| for p in "${pids[@]}"; do wait "${p}" || fail=1; done |
| if [ "${fail}" -ne 0 ]; then |
| echo "[run_ablate] ${BENCH}: a shard failed, see ${LOGS}/${BENCH}_*.log" >&2 |
| exit 1 |
| fi |
| echo "[run_ablate] ${BENCH} done" |
| done |
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| for d in "${OUT_ROOT}"/*_b*/; do |
| "${PY}" -m vbe.score "${d%/}" "${DATA_ROOT}" > /dev/null |
| done |
| echo "[run_ablate] scored $(ls -d "${OUT_ROOT}"/*_b*/ | wc -l) runs" |
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