#!/usr/bin/env bash # 32B SD-RPN baseline eval — TAG=32b-sdrpn-576 so sync_to_nips.py fills the SD-RPN row. # enable_iwa=False already in the saved config (SD-RPN trains pure-ROI w/o IWA). # chat_template.jinja already proper (5292 bytes). No patches needed. # 5 idle GPUs (0,1,2,4,5) — staggered to avoid 6-GPU NFS-load thrash. set -u REPO=/opt/tiger/thothvl_pretrain M=/mnt/bn/leonworkspace/terry/model R=/mnt/bn/leonworkspace/terry/results NAS_LOGS=/mnt/bn/leonworkspace/terry/logs LOG_DIR=$NAS_LOGS/eval_32b_sdrpn_$(date +%Y%m%d_%H%M) mkdir -p "$LOG_DIR" SUMMARY="$LOG_DIR/summary.log" : > "$SUMMARY" cd "$REPO/lmms-eval" export PYTHONPATH=$REPO/QWENVL-PRIVATE:$PYTHONPATH export HF_TOKEN= export HF_HOME=/mnt/bn/leonworkspace/HF_HOME export HF_DATASETS_CACHE=$HF_HOME/datasets export OPENAI_API_KEY= export OPENAI_API_URL=https://search-va.byteintl.net/gpt/openapi/online/v2/crawl export MODEL_VERSION=gpt-4o-2024-11-20 unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY CKPT=$M/qwen3vl-32b-dense-roi-K49T3-150k-sdrpn-0505_2023 ATTN=flash_attention_2 TAG=32b-sdrpn-576 CONF=0.15 ours_args() { echo "pretrained=$CKPT,device_map=auto,two_stage_roi=True,roi_baseline=True,roi_conf_thresh=$CONF,high_res_thresh=0.1,attn_implementation=$ATTN"; } run_one() { local gpu=$1 task=$2 local out_dir="$R/$TAG/$task" if find "$out_dir" -name "*results.json" 2>/dev/null | grep -q .; then echo "[$(date '+%F %T')] SKIP gpu$gpu $TAG/$task (done)" | tee -a "$SUMMARY" return fi mkdir -p "$out_dir" local log="$LOG_DIR/${task}_gpu${gpu}.log" echo "[$(date '+%F %T')] START gpu$gpu $TAG/$task" | tee -a "$SUMMARY" CUDA_VISIBLE_DEVICES=$gpu python3 -m lmms_eval \ --model qwen3_vl_hybrid --model_args "$(ours_args)" \ --tasks "$task" --batch_size 1 \ --output_path "$out_dir" \ --log_samples --log_samples_suffix "$TAG" \ > "$log" 2>&1 local rc=$? if [ $rc -eq 0 ] && find "$out_dir" -name "*results.json" 2>/dev/null | grep -q .; then echo "[$(date '+%F %T')] DONE gpu$gpu $TAG/$task" | tee -a "$SUMMARY" else echo "[$(date '+%F %T')] ERR gpu$gpu $TAG/$task rc=$rc — $log" | tee -a "$SUMMARY" fi } # Per-GPU queues — mixed but enable_iwa=False so safe at this scale. queue_gpu0() { run_one 0 mmerealworld; } # 23k, longest queue_gpu1() { run_one 1 docvqa_val; } # 5349 queue_gpu2() { run_one 2 textvqa_val; } # 5000 queue_gpu4() { run_one 4 chartqa; run_one 4 hrbench4k; run_one 4 hrbench8k; } queue_gpu5() { run_one 5 infovqa_val; run_one 5 ocrbench; run_one 5 realworldqa; run_one 5 vstar_bench; } # Stagger NFS reads at 90s spacing queue_gpu0 & sleep 90; queue_gpu1 & sleep 90; queue_gpu2 & sleep 90; queue_gpu4 & sleep 90; queue_gpu5 & wait echo "[$(date '+%F %T')] ALL SD-RPN EVAL DONE" | tee -a "$SUMMARY" echo "Logs: $LOG_DIR"