[driver] ===== round 0: seed=42 prompt='a red ball rolling on a flat table' =====

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Loading pipeline components...:  40%|████      | 2/5 [00:01<00:02,  1.28it/s]The config attributes {'clip_output': False} were passed to AutoencoderKLWan, but are not expected and will be ignored. Please verify your config.json configuration file.

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✅ Wan2.2-TI2V-5B 模型加载完成
📝 生成提示词: a red ball rolling on a flat table

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✅ 视频已保存: /root/PhysGenLoop-/outputs/wan-71077cad56b8/wan-71077cad56b8-v01.mp4
GEN_OK wan-71077cad56b8
[driver] 生成完成: wan-71077cad56b8 -> /root/PhysGenLoop-/outputs/wan-71077cad56b8/wan-71077cad56b8-v01.mp4
[driver] 启动 vLLM (Qwen3-VL-8B-Instruct) 供 SAM2+VLM 检测使用...
[driver] vLLM 已就绪

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/root/PhysGenLoop-/models/sam2-src/sam2/sam2_video_predictor.py:786: UserWarning: cannot import name '_C' from 'sam2' (/root/PhysGenLoop-/models/sam2-src/sam2/__init__.py)

Skipping the post-processing step due to the error above. You can still use SAM 2 and it's OK to ignore the error above, although some post-processing functionality may be limited (which doesn't affect the results in most cases; see https://github.com/facebookresearch/sam2/blob/main/INSTALL.md).
  pred_masks_gpu = fill_holes_in_mask_scores(

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EVAL_OK wan-71077cad56b8 decision= physical score= 1.0
[driver] 评估完成: decision=physical score=1.000 backend=sam2+vlm repair_action=reject
[driver] stop_reason=accepted
[driver]   round 0: {'round_index': 0, 'candidate_id': 'wan-71077cad56b8', 'video_path': '/root/PhysGenLoop-/outputs/wan-71077cad56b8/wan-71077cad56b8-v01.mp4', 'detector_backend': 'sam2+vlm', 'decision_report': 'physical', 'physics_score': 1.0, 'repair_action': 'reject', 'repair_confidence': 0.9571710647470242}