File size: 4,136 Bytes
d6e1c8a | 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 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 | #!/usr/bin/env bash
# 32B GroundFlow full eval @ 576: ours (10 tasks) + baseline HRBench (2 tasks).
# Distributes across GPUs 0,1,2,3,4,5,7 (GPU 6 held by backup/sm.py).
# Idempotent: skips any (tag,task) already with *results.json.
set -u
REPO=/opt/tiger/thothvl_pretrain
M=/mnt/bn/leonworkspace/terry/model
R=/mnt/bn/leonworkspace/terry/results
LOG_DIR=/mnt/bn/leonworkspace/terry/logs/eval_32b_$(date +%Y%m%d_%H%M)
mkdir -p "$LOG_DIR"
SUMMARY="$LOG_DIR/summary.log"
: > "$SUMMARY"
cd "$REPO/lmms-eval"
export PYTHONPATH=$REPO/QWENVL-PRIVATE:$PYTHONPATH
export HF_TOKEN=<HF_TOKEN>
export HF_HOME=/mnt/bn/leonworkspace/HF_HOME
export HF_DATASETS_CACHE=$HF_HOME/datasets
export OPENAI_API_KEY=<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
OURS_CKPT=$M/qwen3vl-32b-dense-roi-K49T3-150k-confluent-a0.667-t1.5-iwa-0505_0321
BASE_CKPT=$M/Qwen3-VL-32B-Instruct
ATTN=flash_attention_2
CONF=0.15
ours_args() { echo "pretrained=$OURS_CKPT,device_map=auto,two_stage_roi=True,roi_baseline=True,roi_conf_thresh=$CONF,high_res_thresh=0.1,attn_implementation=$ATTN"; }
base_args() { echo "pretrained=$BASE_CKPT,device_map=auto,attn_implementation=$ATTN"; }
run_one() {
local gpu=$1 cli=$2 args=$3 task=$4 tag=$5
local out_dir="$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="$LOG_DIR/${tag}_${task}.log"
echo "[$(date '+%F %T')] START gpu$gpu $tag/$task" | tee -a "$SUMMARY"
CUDA_VISIBLE_DEVICES=$gpu python3 -m lmms_eval \
--model "$cli" --model_args "$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 — see $log" | tee -a "$SUMMARY"
fi
}
# Per-GPU queues. Dispatch each queue in background.
queue_gpu0() { # mmerealworld is the heaviest (23k samples) — solo on GPU 0
run_one 0 qwen3_vl_hybrid "$(ours_args)" mmerealworld publish-32b-ours-576
}
queue_gpu1() { # docvqa_val 5349
run_one 1 qwen3_vl_hybrid "$(ours_args)" docvqa_val publish-32b-ours-576
}
queue_gpu2() { # textvqa_val 5000
run_one 2 qwen3_vl_hybrid "$(ours_args)" textvqa_val publish-32b-ours-576
}
queue_gpu3() { # infovqa_val 2801 then hrbench8k (~1k + GPT judge)
run_one 3 qwen3_vl_hybrid "$(ours_args)" infovqa_val publish-32b-ours-576
run_one 3 qwen3_vl_hybrid "$(ours_args)" hrbench8k publish-32b-ours-576
}
queue_gpu4() { # chartqa 2500 then hrbench4k
run_one 4 qwen3_vl_hybrid "$(ours_args)" chartqa publish-32b-ours-576
run_one 4 qwen3_vl_hybrid "$(ours_args)" hrbench4k publish-32b-ours-576
}
queue_gpu5() { # smaller tasks
run_one 5 qwen3_vl_hybrid "$(ours_args)" ocrbench publish-32b-ours-576
run_one 5 qwen3_vl_hybrid "$(ours_args)" realworldqa publish-32b-ours-576
run_one 5 qwen3_vl_hybrid "$(ours_args)" vstar_bench publish-32b-ours-576
}
queue_gpu7() { # baseline HRBench (32B Vanilla — needs both)
run_one 7 qwen3_vl "$(base_args)" hrbench4k 32b-vanilla-576
run_one 7 qwen3_vl "$(base_args)" hrbench8k 32b-vanilla-576
}
# Stagger model loads. 32B = 64 GB per process. Loading 6 copies in parallel
# from NAS corrupts weights on some processes (gibberish output, see memory
# entry 'chat_template_post_train_fix.md'). 90s gap lets each load finish
# before the next starts; once loaded, all GPUs run in parallel as intended.
queue_gpu0 &
sleep 90; queue_gpu1 &
sleep 90; queue_gpu2 &
sleep 90; queue_gpu3 &
sleep 90; queue_gpu4 &
sleep 90; queue_gpu5 &
sleep 90; queue_gpu7 &
wait
echo "[$(date '+%F %T')] ALL EVAL QUEUES DONE" | tee -a "$SUMMARY"
echo "Logs: $LOG_DIR"
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