| #!/usr/bin/env bash |
| |
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| |
| |
| set -euo pipefail |
| cd "$(dirname "$0")/.." |
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| MODEL=${MODEL:-/root/models/VideoChat-Flash-Qwen2-7B_res448} |
| RUN=${RUN:-results/vcflash7b_res448} |
| BUDGETS=${BUDGETS:-1024,2048,4096,8192,16384} |
| 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} |
| NUM_WORKERS=${NUM_WORKERS:-8} |
| EXTRA=${EXTRA:-} |
| PY=${PY:-/root/envs/vcflash/bin/python} |
| SCORE_PY=${SCORE_PY:-/miniconda/envs/ml/bin/python} |
| export PYTHONPATH=".${PYTHONPATH:+:${PYTHONPATH}}" |
|
|
| IFS=, read -ra GPU_LIST <<< "${GPUS}" |
| N=${#GPU_LIST[@]} |
| LOGS=${RUN}_logs |
| mkdir -p "${LOGS}" |
| echo "[run_vcflash] model=${MODEL} budgets=${BUDGETS} gpus=${GPUS} benchmarks=${BENCHMARKS} -> ${RUN}_b*" |
| pids=() |
| for i in "${!GPU_LIST[@]}"; do |
| CUDA_VISIBLE_DEVICES=${GPU_LIST[$i]} "${PY}" -m vbe.vcflash \ |
| --model_path "${MODEL}" --benchmarks "${BENCHMARKS}" --data_root "${DATA_ROOT}" --budgets "${BUDGETS}" \ |
| --output "${RUN}_b{budget}/{bench}/shard${i}of${N}.jsonl" \ |
| --shard_id "${i}" --num_shards "${N}" --num_workers "${NUM_WORKERS}" ${EXTRA} \ |
| > "${LOGS}/shard${i}of${N}.log" 2>&1 & |
| pids+=($!) |
| done |
| fail=0 |
| for p in "${pids[@]}"; do wait "${p}" || fail=1; done |
| for B in ${BUDGETS//,/ }; do |
| [ -d "${RUN}_b${B}" ] && "${SCORE_PY}" -m vbe.score "${RUN}_b${B}" "${DATA_ROOT}" > /dev/null |
| done |
| if [ "${fail}" -ne 0 ]; then |
| echo "[run_vcflash] a shard failed, see ${LOGS}/*.log" >&2 |
| exit 1 |
| fi |
| echo "[run_vcflash] scored" |
|
|
