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53c10a4 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 | #!/usr/bin/env bash
# MMSI-Bench evaluation with one Transformers model replica per GPU.
set -euo pipefail
SCRIPT_DIR=$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)
PROJECT_DIR=$(cd -- "${SCRIPT_DIR}/../../.." && pwd)
EVALUATOR="${SCRIPT_DIR}/eval_mmsi_transformers.py"
MODEL_PATH=${1:-${MODEL_PATH:-}}
PROCESSOR_PATH=${PROCESSOR_PATH:-${MODEL_PATH}}
DATA_FILE=${DATA_FILE:-"${PROJECT_DIR}/data/eval/mmsi/MMSI_bench.tsv"}
IMAGE_MIN_PIXELS=${IMAGE_MIN_PIXELS:-4096}
IMAGE_MAX_PIXELS=${IMAGE_MAX_PIXELS:-262144}
MAX_IMAGES=${MAX_IMAGES:-0}
PATCH_SIZE=${PATCH_SIZE:-16}
MAX_NEW_TOKENS=${MAX_NEW_TOKENS:-1024}
MAX_SAMPLES=${MAX_SAMPLES:-0}
CATEGORY=${CATEGORY:-}
ENABLE_THINKING=${ENABLE_THINKING:-false}
ATTN_IMPLEMENTATION=${ATTN_IMPLEMENTATION:-flash_attention_2}
SAVE_INTERVAL=${SAVE_INTERVAL:-20}
if [[ -n "${CATEGORY}" || "${MAX_SAMPLES}" != "0" ]]; then
EXPECTED_SAMPLES=${EXPECTED_SAMPLES:-0}
else
EXPECTED_SAMPLES=${EXPECTED_SAMPLES:-1000}
fi
LAUNCH_DELAY=${LAUNCH_DELAY:-2}
OUTPUT_ROOT=${OUTPUT_ROOT:-"${PROJECT_DIR}/outputs/mmsi"}
[[ -n "${MODEL_PATH}" ]] || {
echo "[FATAL] MODEL_PATH is required." >&2
exit 1
}
for path in "${EVALUATOR}" "${MODEL_PATH}/config.json" "${DATA_FILE}"; do
[[ -f "${path}" ]] || {
echo "[FATAL] Required input is unavailable: ${path}" >&2
exit 1
}
done
compgen -G "${MODEL_PATH}/*.safetensors" >/dev/null || {
echo "[FATAL] No safetensors weights found under ${MODEL_PATH}." >&2
exit 1
}
IFS=',' read -ra GPULIST <<<"${CUDA_VISIBLE_DEVICES:-$(seq -s, 0 $(($(nvidia-smi -L | wc -l) - 1)))}"
NUM_GPUS=${#GPULIST[@]}
((NUM_GPUS > 0)) || {
echo "[FATAL] No visible GPUs." >&2
exit 1
}
unset CUDA_VISIBLE_DEVICES
model_name=$(basename "${MODEL_PATH%/}")
model_parent=$(basename "$(dirname "${MODEL_PATH%/}")")
model_grandparent=$(basename "$(dirname "$(dirname "${MODEL_PATH%/}")")")
if [[ "${model_name}" == "huggingface" && "${model_parent}" == "actor" && "${model_grandparent}" == global_step_* ]]; then
MODEL_FAMILY=$(basename "$(dirname "$(dirname "$(dirname "${MODEL_PATH%/}")")")")
CHECKPOINT_TAG=${model_grandparent}
elif [[ "${model_name}" == checkpoint-* ]]; then
MODEL_FAMILY=$(basename "$(dirname "$(dirname "${MODEL_PATH%/}")")")
CHECKPOINT_TAG=${model_name}
else
MODEL_FAMILY=${model_name}
CHECKPOINT_TAG=base
fi
DATA_TAG=$(basename "${DATA_FILE}")
DATA_TAG=${DATA_TAG%.*}
IMAGE_COUNT_TAG=$([[ "${MAX_IMAGES}" -le 0 ]] && echo all || echo "${MAX_IMAGES}")
SETTING_TAG="transformers-img-min${IMAGE_MIN_PIXELS}-max${IMAGE_MAX_PIXELS}-n${IMAGE_COUNT_TAG}-all-${DATA_TAG}"
OUTPUT_DIR=${OUTPUT_DIR:-"${OUTPUT_ROOT}/${MODEL_FAMILY}/${CHECKPOINT_TAG}/${SETTING_TAG}/$(date +%Y%m%d_%H%M%S)"}
mkdir -p "${OUTPUT_DIR}"
echo "============================================================"
echo "MMSI-Bench Evaluation (Transformers, data-parallel)"
echo "============================================================"
echo "Model: ${MODEL_PATH}"
echo "Processor: ${PROCESSOR_PATH}"
echo "Data: ${DATA_FILE}"
echo "GPUs: ${GPULIST[*]} (${NUM_GPUS} replicas)"
echo "Images: $([[ "${MAX_IMAGES}" -le 0 ]] && echo all || echo "${MAX_IMAGES}")"
echo "Pixels: min=${IMAGE_MIN_PIXELS} max=${IMAGE_MAX_PIXELS}"
echo "Max new: ${MAX_NEW_TOKENS}"
echo "Thinking: ${ENABLE_THINKING}"
echo "Output: ${OUTPUT_DIR}"
echo "============================================================"
pids=()
cleanup() {
local status=$?
trap - EXIT INT TERM
for pid in "${pids[@]:-}"; do
[[ -n "${pid}" ]] && kill "${pid}" >/dev/null 2>&1 || true
done
wait >/dev/null 2>&1 || true
exit "${status}"
}
trap cleanup EXIT INT TERM
for index in "${!GPULIST[@]}"; do
gpu=${GPULIST[index]}
args=(
--model_path "${MODEL_PATH}"
--processor_path "${PROCESSOR_PATH}"
--data_file "${DATA_FILE}"
--output_dir "${OUTPUT_DIR}"
--image_min_pixels "${IMAGE_MIN_PIXELS}"
--image_max_pixels "${IMAGE_MAX_PIXELS}"
--max_images "${MAX_IMAGES}"
--patch_size "${PATCH_SIZE}"
--max_new_tokens "${MAX_NEW_TOKENS}"
--max_samples "${MAX_SAMPLES}"
--category "${CATEGORY}"
--chunk "${NUM_GPUS}"
--index "${index}"
--attn_implementation "${ATTN_IMPLEMENTATION}"
--save_interval "${SAVE_INTERVAL}"
)
if [[ "${ENABLE_THINKING,,}" == "true" || "${ENABLE_THINKING}" == "1" ]]; then
args+=(--enable_thinking)
fi
CUDA_VISIBLE_DEVICES="${gpu}" PYTHONUNBUFFERED=1 \
python "${EVALUATOR}" "${args[@]}" \
>"${OUTPUT_DIR}/worker_${index}.log" 2>&1 &
pids+=("$!")
echo "Launched shard ${index}/${NUM_GPUS} on GPU ${gpu} (PID ${pids[-1]})"
if ((index + 1 < NUM_GPUS)) && ((LAUNCH_DELAY > 0)); then
sleep "${LAUNCH_DELAY}"
fi
done
failed=0
for index in "${!pids[@]}"; do
if ! wait "${pids[index]}"; then
echo "[FAIL] shard ${index}; inspect ${OUTPUT_DIR}/worker_${index}.log" >&2
failed=1
else
echo "[DONE] shard ${index}"
fi
done
pids=()
((failed == 0)) || exit 1
python - "${OUTPUT_DIR}" "${NUM_GPUS}" "${EXPECTED_SAMPLES}" "${MAX_IMAGES}" <<'PY'
import json
import sys
from collections import defaultdict
from pathlib import Path
output_dir = Path(sys.argv[1])
num_shards = int(sys.argv[2])
expected = int(sys.argv[3])
max_images = int(sys.argv[4])
records_by_id = {}
for shard in range(num_shards):
path = output_dir / f"results_mmsi_shard{shard}.json"
if not path.is_file():
raise RuntimeError(f"Missing MMSI result shard: {path}")
for record in json.loads(path.read_text(encoding="utf-8")):
records_by_id[str(record["id"])] = record
records = list(records_by_id.values())
if expected > 0 and len(records) != expected:
raise RuntimeError(
f"Expected {expected} unique MMSI samples, got {len(records)}"
)
correct = sum(int(record.get("score", 0)) for record in records)
parsed = sum(bool(record.get("pred_answer")) for record in records)
errors = sum(bool(record.get("error")) for record in records)
groups = defaultdict(lambda: {"correct": 0, "total": 0})
for record in records:
group = str(record.get("group") or "unknown")
groups[group]["total"] += 1
groups[group]["correct"] += int(record.get("score", 0))
def pct(value, total):
return round(100.0 * value / total, 2) if total else 0.0
summary = {
"backend": "transformers",
"image_policy": "all" if max_images <= 0 else f"first_{max_images}",
"num_samples": len(records),
"correct": correct,
"accuracy": pct(correct, len(records)),
"parse_rate": pct(parsed, len(records)),
"errors": errors,
"by_category": {
key: {
"accuracy": pct(value["correct"], value["total"]),
"correct": value["correct"],
"total": value["total"],
}
for key, value in sorted(groups.items())
},
}
(output_dir / "results_mmsi.json").write_text(
json.dumps(records, ensure_ascii=False, indent=2) + "\n",
encoding="utf-8",
)
(output_dir / "summary.json").write_text(
json.dumps(summary, ensure_ascii=False, indent=2) + "\n",
encoding="utf-8",
)
print(
f"MMSI Transformers: n={len(records)} "
f"acc={summary['accuracy']:.2f}% "
f"parse={summary['parse_rate']:.2f}% errors={errors}"
)
print(f"Summary: {output_dir / 'summary.json'}")
PY
chmod -R a+rX "${OUTPUT_DIR}" 2>/dev/null || true
echo "MMSI Transformers evaluation complete: ${OUTPUT_DIR}"
|