设备：K100_AI 镜像：https://developer.sourcefind.cn/modelzoo/list/mineru2.5_vllm/detail?post_id=745ed0a4-cfe2-11f0-ae7d-0242ac150003 服务脚本： HIP_VISIBLE_DEVICES=4 mineru-api --port 30002 --host 0.0.0.0 请求脚本： url="http://0.0.0.0:30002/file_parse" curl -X POST "$url" -F "files=@/workspace/test.pdf;type=application/pdf" -F "backend=vlm-vllm-async-engine" -o response.json 服务端log： Start MinerU FastAPI Service: http://0.0.0.0:30002 The API documentation can be accessed at the following address: - Swagger UI: http://0.0.0.0:30002/docs - ReDoc: http://0.0.0.0:30002/redoc INFO: Started server process [5917] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://0.0.0.0:30002 (Press CTRL+C to quit) 2026-04-21 16:29:08.785 | WARNING | mineru.cli.common:convert_pdf_bytes_to_bytes_by_pypdfium2:54 - end_page_id is out of range, use pdf_docs length INFO 04-21 16:29:11 [__init__.py:245] Automatically detected platform rocm. INFO 04-21 16:29:23 [config.py:850] This model supports multiple tasks: {'classify', 'generate', 'embed', 'reward'}. Defaulting to 'generate'. `torch_dtype` is deprecated! Use `dtype` instead! INFO 04-21 16:29:23 [config.py:1488] Using max model len 16384 INFO 04-21 16:29:23 [config.py:2301] Chunked prefill is enabled with max_num_batched_tokens=5120. WARNING 04-21 16:29:23 [__init__.py:2836] We must use the `spawn` multiprocessing start method. Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. See https://docs.vllm.ai/en/latest/usage/troubleshooting.html#python-multiprocessing for more information. Reason: CUDA is initialized INFO 04-21 16:29:28 [__init__.py:245] Automatically detected platform rocm. INFO 04-21 16:29:30 [core.py:529] Waiting for init message from front-end. INFO 04-21 16:29:31 [core.py:71] Initializing a V1 LLM engine (v0.9.2) with config: model='/root/.cache/modelscope/hub/models/OpenDataLab/MinerU2___5-2509-1___2B', speculative_config=None, tokenizer='/root/.cache/modelscope/hub/models/OpenDataLab/MinerU2___5-2509-1___2B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=16384, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, decoding_config=DecodingConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_backend=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=/root/.cache/modelscope/hub/models/OpenDataLab/MinerU2___5-2509-1___2B, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{},"inductor_passes":{},"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"max_capture_size":512,"local_cache_dir":null} WARNING 04-21 16:29:31 [worker_base.py:42] VLLM_RANK0_NUMA is unset or set incorrectly, vllm will not bind to numa! VLLM_RANK0_NUMA = -1 INFO 04-21 16:29:31 [worker_base.py:654] ########## 6465 process(rank0) is running on CPU(s): {0, 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} INFO 04-21 16:29:31 [worker_base.py:655] ########## 6465 process(rank0) is running on memnode(s): {0, 1, 2, 3, 4, 5, 6, 7} WARNING: Logging before InitGoogleLogging() is written to STDERR I0421 16:29:31.527446 6465 ProcessGroupNCCL.cpp:934] [PG ID 0 PG GUID 0 Rank 0] ProcessGroupNCCL initialization options: size: 1, global rank: 0, TIMEOUT(ms): 600000, USE_HIGH_PRIORITY_STREAM: 0, SPLIT_FROM: 0, SPLIT_COLOR: 0, PG Name: 0 I0421 16:29:31.527513 6465 ProcessGroupNCCL.cpp:943] [PG ID 0 PG GUID 0 Rank 0] ProcessGroupNCCL environments: NCCL version: 2.22.3, TORCH_NCCL_ASYNC_ERROR_HANDLING: 3, TORCH_NCCL_DUMP_ON_TIMEOUT: 0, TORCH_NCCL_WAIT_TIMEOUT_DUMP_MILSEC: 60000, TORCH_NCCL_DESYNC_DEBUG: 0, TORCH_NCCL_ENABLE_TIMING: 0, TORCH_NCCL_BLOCKING_WAIT: 0, TORCH_DISTRIBUTED_DEBUG: OFF, TORCH_NCCL_USE_TENSOR_REGISTER_ALLOCATOR_HOOK: 0, TORCH_NCCL_ENABLE_MONITORING: 1, TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: 480, TORCH_NCCL_TRACE_BUFFER_SIZE: 0, TORCH_NCCL_COORD_CHECK_MILSEC: 1000, TORCH_NCCL_NAN_CHECK: 0, TORCH_NCCL_CUDA_EVENT_CACHE: 0, TORCH_NCCL_LOG_CPP_STACK_ON_UNCLEAN_SHUTDOWN: 1 I0421 16:29:31.528028 6465 ProcessGroupNCCL.cpp:934] [PG ID 1 PG GUID 1 Rank 0] ProcessGroupNCCL initialization options: size: 1, global rank: 0, TIMEOUT(ms): 600000, USE_HIGH_PRIORITY_STREAM: 0, SPLIT_FROM: 0x5597273d6f50, SPLIT_COLOR: 3389850942126204093, PG Name: 1 I0421 16:29:31.528041 6465 ProcessGroupNCCL.cpp:943] [PG ID 1 PG GUID 1 Rank 0] ProcessGroupNCCL environments: NCCL version: 2.22.3, TORCH_NCCL_ASYNC_ERROR_HANDLING: 3, TORCH_NCCL_DUMP_ON_TIMEOUT: 0, TORCH_NCCL_WAIT_TIMEOUT_DUMP_MILSEC: 60000, TORCH_NCCL_DESYNC_DEBUG: 0, TORCH_NCCL_ENABLE_TIMING: 0, TORCH_NCCL_BLOCKING_WAIT: 0, TORCH_DISTRIBUTED_DEBUG: OFF, TORCH_NCCL_USE_TENSOR_REGISTER_ALLOCATOR_HOOK: 0, TORCH_NCCL_ENABLE_MONITORING: 1, TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: 480, TORCH_NCCL_TRACE_BUFFER_SIZE: 0, TORCH_NCCL_COORD_CHECK_MILSEC: 1000, TORCH_NCCL_NAN_CHECK: 0, TORCH_NCCL_CUDA_EVENT_CACHE: 0, TORCH_NCCL_LOG_CPP_STACK_ON_UNCLEAN_SHUTDOWN: 1 I0421 16:29:31.564693 6465 ProcessGroupNCCL.cpp:934] [PG ID 2 PG GUID 3 Rank 0] ProcessGroupNCCL initialization options: size: 1, global rank: 0, TIMEOUT(ms): 600000, USE_HIGH_PRIORITY_STREAM: 0, SPLIT_FROM: 0x5597273d6f50, SPLIT_COLOR: 3389850942126204093, PG Name: 3 I0421 16:29:31.564718 6465 ProcessGroupNCCL.cpp:943] [PG ID 2 PG GUID 3 Rank 0] ProcessGroupNCCL environments: NCCL version: 2.22.3, TORCH_NCCL_ASYNC_ERROR_HANDLING: 3, TORCH_NCCL_DUMP_ON_TIMEOUT: 0, TORCH_NCCL_WAIT_TIMEOUT_DUMP_MILSEC: 60000, TORCH_NCCL_DESYNC_DEBUG: 0, TORCH_NCCL_ENABLE_TIMING: 0, TORCH_NCCL_BLOCKING_WAIT: 0, TORCH_DISTRIBUTED_DEBUG: OFF, TORCH_NCCL_USE_TENSOR_REGISTER_ALLOCATOR_HOOK: 0, TORCH_NCCL_ENABLE_MONITORING: 1, TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: 480, TORCH_NCCL_TRACE_BUFFER_SIZE: 0, TORCH_NCCL_COORD_CHECK_MILSEC: 1000, TORCH_NCCL_NAN_CHECK: 0, TORCH_NCCL_CUDA_EVENT_CACHE: 0, TORCH_NCCL_LOG_CPP_STACK_ON_UNCLEAN_SHUTDOWN: 1 I0421 16:29:31.568011 6465 ProcessGroupNCCL.cpp:934] [PG ID 3 PG GUID 5 Rank 0] ProcessGroupNCCL initialization options: size: 1, global rank: 0, TIMEOUT(ms): 600000, USE_HIGH_PRIORITY_STREAM: 0, SPLIT_FROM: 0x5597273d6f50, SPLIT_COLOR: 3389850942126204093, PG Name: 5 I0421 16:29:31.568028 6465 ProcessGroupNCCL.cpp:943] [PG ID 3 PG GUID 5 Rank 0] ProcessGroupNCCL environments: NCCL version: 2.22.3, TORCH_NCCL_ASYNC_ERROR_HANDLING: 3, TORCH_NCCL_DUMP_ON_TIMEOUT: 0, TORCH_NCCL_WAIT_TIMEOUT_DUMP_MILSEC: 60000, TORCH_NCCL_DESYNC_DEBUG: 0, TORCH_NCCL_ENABLE_TIMING: 0, TORCH_NCCL_BLOCKING_WAIT: 0, TORCH_DISTRIBUTED_DEBUG: OFF, TORCH_NCCL_USE_TENSOR_REGISTER_ALLOCATOR_HOOK: 0, TORCH_NCCL_ENABLE_MONITORING: 1, TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: 480, TORCH_NCCL_TRACE_BUFFER_SIZE: 0, TORCH_NCCL_COORD_CHECK_MILSEC: 1000, TORCH_NCCL_NAN_CHECK: 0, TORCH_NCCL_CUDA_EVENT_CACHE: 0, TORCH_NCCL_LOG_CPP_STACK_ON_UNCLEAN_SHUTDOWN: 1 I0421 16:29:31.570523 6465 ProcessGroupNCCL.cpp:934] [PG ID 4 PG GUID 7 Rank 0] ProcessGroupNCCL initialization options: size: 1, global rank: 0, TIMEOUT(ms): 600000, USE_HIGH_PRIORITY_STREAM: 0, SPLIT_FROM: 0x5597273d6f50, SPLIT_COLOR: 3389850942126204093, PG Name: 7 I0421 16:29:31.570539 6465 ProcessGroupNCCL.cpp:943] [PG ID 4 PG GUID 7 Rank 0] ProcessGroupNCCL environments: NCCL version: 2.22.3, TORCH_NCCL_ASYNC_ERROR_HANDLING: 3, TORCH_NCCL_DUMP_ON_TIMEOUT: 0, TORCH_NCCL_WAIT_TIMEOUT_DUMP_MILSEC: 60000, TORCH_NCCL_DESYNC_DEBUG: 0, TORCH_NCCL_ENABLE_TIMING: 0, TORCH_NCCL_BLOCKING_WAIT: 0, TORCH_DISTRIBUTED_DEBUG: OFF, TORCH_NCCL_USE_TENSOR_REGISTER_ALLOCATOR_HOOK: 0, TORCH_NCCL_ENABLE_MONITORING: 1, TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: 480, TORCH_NCCL_TRACE_BUFFER_SIZE: 0, TORCH_NCCL_COORD_CHECK_MILSEC: 1000, TORCH_NCCL_NAN_CHECK: 0, TORCH_NCCL_CUDA_EVENT_CACHE: 0, TORCH_NCCL_LOG_CPP_STACK_ON_UNCLEAN_SHUTDOWN: 1 I0421 16:29:31.572827 6465 ProcessGroupNCCL.cpp:934] [PG ID 5 PG GUID 9 Rank 0] ProcessGroupNCCL initialization options: size: 1, global rank: 0, TIMEOUT(ms): 600000, USE_HIGH_PRIORITY_STREAM: 0, SPLIT_FROM: 0x5597273d6f50, SPLIT_COLOR: 3389850942126204093, PG Name: 9 I0421 16:29:31.572845 6465 ProcessGroupNCCL.cpp:943] [PG ID 5 PG GUID 9 Rank 0] ProcessGroupNCCL environments: NCCL version: 2.22.3, TORCH_NCCL_ASYNC_ERROR_HANDLING: 3, TORCH_NCCL_DUMP_ON_TIMEOUT: 0, TORCH_NCCL_WAIT_TIMEOUT_DUMP_MILSEC: 60000, TORCH_NCCL_DESYNC_DEBUG: 0, TORCH_NCCL_ENABLE_TIMING: 0, TORCH_NCCL_BLOCKING_WAIT: 0, TORCH_DISTRIBUTED_DEBUG: OFF, TORCH_NCCL_USE_TENSOR_REGISTER_ALLOCATOR_HOOK: 0, TORCH_NCCL_ENABLE_MONITORING: 1, TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC: 480, TORCH_NCCL_TRACE_BUFFER_SIZE: 0, TORCH_NCCL_COORD_CHECK_MILSEC: 1000, TORCH_NCCL_NAN_CHECK: 0, TORCH_NCCL_CUDA_EVENT_CACHE: 0, TORCH_NCCL_LOG_CPP_STACK_ON_UNCLEAN_SHUTDOWN: 1 INFO 04-21 16:29:31 [parallel_state.py:1077] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 INFO 04-21 16:29:32 [gpu_model_runner.py:1819] Starting to load model /root/.cache/modelscope/hub/models/OpenDataLab/MinerU2___5-2509-1___2B... INFO 04-21 16:29:32 [gpu_model_runner.py:1824] Loading model from scratch... INFO 04-21 16:29:32 [rocm.py:288] Using Flash Attention backend on V1 engine. (only supports block size 64) Loading safetensors checkpoint shards: 0% Completed | 0/1 [00:00<|ref_start|>table<|ref_end|><|rotate_up|> Two Step Extraction: 57%|█████████████████████████████████████████████████████████████████████▏ | 4/7 [00:06<00:03, 1.03s/it]Warning: line does not match layout format: ammenBERG Warning: line does not match layout format: 236 093 324 106<|box_end|><|ref_start|>text<|ref_end|><|rotate_up|> Warning: line does not match layout format: 236 093 324 106<|box_end|><|ref_start|>list<|ref_end|><|rotate_up|> INFO 04-21 16:30:41 [async_llm.py:270] Added request c8a5766f-241a-4305-84a8-299b64f81324. INFO 04-21 16:30:41 [async_llm.py:270] Added request 905fa2a3-5802-480c-ac0e-f13e1aefd5d5. INFO 04-21 16:30:41 [async_llm.py:270] Added request 925f701f-145e-4f3f-b68a-5c5633dd1598. INFO 04-21 16:30:41 [async_llm.py:270] Added request 138daf82-ef95-4fe6-99ae-5a81f726710c. INFO 04-21 16:30:41 [async_llm.py:270] Added request 29903cd2-6e82-4d50-9b45-2d00f950cab3. INFO 04-21 16:30:41 [async_llm.py:270] Added request c4f3563a-143c-455d-9532-755c478941f4. INFO 04-21 16:30:41 [async_llm.py:270] Added request ce97d64b-c917-4c98-9b86-32851213c3ad. INFO 04-21 16:30:41 [async_llm.py:270] Added request 518ae3c5-e83f-4ad6-95eb-5d3e930c04e6. INFO 04-21 16:30:41 [async_llm.py:270] Added request 2c29bca3-2927-43e5-8287-705f63a28de9. INFO 04-21 16:30:41 [async_llm.py:270] Added request e1e14b95-d125-4938-a6cc-3f156e175c60. INFO 04-21 16:30:41 [async_llm.py:270] Added request 582bfceb-4cb3-489d-8779-cb4c8caecfb9. INFO 04-21 16:30:41 [async_llm.py:270] Added request 2d3fb695-c9fd-4c4e-a6ca-24b1ccd61fda. INFO 04-21 16:30:41 [async_llm.py:270] Added request 5c864fd2-21b3-4aac-a8bf-5a1f55757059. INFO 04-21 16:30:41 [async_llm.py:270] Added request 1c0080d1-a94f-44ff-8739-6042e3d86bbf. INFO 04-21 16:30:41 [async_llm.py:270] Added request c1b5b299-3972-4bfc-a2f0-93739188bdd2. INFO 04-21 16:30:41 [async_llm.py:270] Added request c0b502d3-e2b8-4438-9ad5-0810c5a023f3. INFO 04-21 16:30:41 [async_llm.py:270] Added request 746de747-3723-4376-9a44-1e09c1a85c15. INFO 04-21 16:30:41 [async_llm.py:270] Added request 97ae39ac-811b-4647-a583-48b99038b33e. INFO 04-21 16:30:41 [async_llm.py:270] Added request b7eda33f-6c4b-40af-9ed4-fd4d948ca882. INFO 04-21 16:30:41 [async_llm.py:270] Added request 3e19c16e-9d1d-4f4a-ae99-248220d006a1. INFO 04-21 16:30:41 [async_llm.py:270] Added request e957259e-4c28-4043-8595-158973ffdafb. INFO 04-21 16:30:41 [async_llm.py:270] Added request f3671499-18a9-48a9-b7ba-1032e800bc55. INFO 04-21 16:30:41 [async_llm.py:270] Added request 4ef82fbe-2257-4475-910a-9a4955f41b92. INFO 04-21 16:30:41 [async_llm.py:270] Added request bb35f9d6-d35d-4d58-a00d-9b0b23b47e80. INFO 04-21 16:30:41 [async_llm.py:270] Added request cf94f146-8865-45a4-9779-61b770ef8f9f. INFO 04-21 16:30:41 [async_llm.py:270] Added request e492e494-d94e-4611-88b1-58ac7a3d9a74. INFO 04-21 16:30:41 [async_llm.py:270] Added request 0171debf-95b6-43a4-bcb0-9df0f6b9f528. INFO 04-21 16:30:41 [async_llm.py:270] Added request 1353a31a-2f6c-44a7-8c70-75706c94afc3. INFO 04-21 16:30:41 [async_llm.py:270] Added request c6be9aa1-e1e2-496c-aa06-d9842ed6155f. INFO 04-21 16:30:41 [async_llm.py:270] Added request 6929f927-8d8b-4103-b8bf-111497ea150d. INFO 04-21 16:30:41 [async_llm.py:270] Added request 2d1ea2e3-caa7-4feb-b114-ec0ea07da1e9. INFO 04-21 16:30:41 [async_llm.py:270] Added request 3407f622-8317-48c5-abd9-f74dbe5e198a. INFO 04-21 16:30:41 [async_llm.py:270] Added request 9dc7d11c-c762-4c61-b6de-d9f5f5e57033. INFO 04-21 16:30:41 [async_llm.py:270] Added request 01a7fe7e-f276-40ad-8e97-1c9ea1bca3b0. INFO 04-21 16:30:41 [async_llm.py:270] Added request 220e26a5-ba0e-474d-8742-5feb460d0d10. INFO 04-21 16:30:41 [async_llm.py:270] Added request d3700ad1-083a-4072-946d-31fbc0da052e. INFO 04-21 16:30:41 [async_llm.py:270] Added request 9025ae5d-0732-4ded-aa40-4c9ea6961584. INFO 04-21 16:30:41 [async_llm.py:270] Added request 0bc96aaa-c824-4098-b7d1-9c65d41b0a58. INFO 04-21 16:30:41 [async_llm.py:270] Added request f2ffddd0-322a-47a4-a390-a037a1448605. INFO 04-21 16:30:41 [async_llm.py:270] Added request c1c3f7db-1673-431c-965b-337207e5cfd0. INFO 04-21 16:30:41 [async_llm.py:270] Added request f9e2c019-9cb1-439d-9bbc-68a9f995f75e. INFO 04-21 16:30:41 [async_llm.py:270] Added request bb7d0626-7314-4ade-a1e4-370d862930ec. INFO 04-21 16:30:41 [async_llm.py:270] Added request 200af093-aaee-4f59-b2e8-0c16f696bf95. INFO 04-21 16:30:41 [async_llm.py:270] Added request b353325e-51d0-4401-b54e-8935e5d74076. INFO 04-21 16:30:41 [async_llm.py:270] Added request 2dbf79cf-c4bd-477a-a9f4-21a69949820c. INFO 04-21 16:30:41 [async_llm.py:270] Added request 3cfcaf25-9af7-4727-ae07-b22cdf268f72. INFO 04-21 16:30:41 [async_llm.py:270] Added request a2fc8aa5-4c42-44ac-93a0-3a76c32cacf4. INFO 04-21 16:30:41 [async_llm.py:270] Added request 2970ad58-f453-45f9-9336-940f13a67703. INFO 04-21 16:30:41 [async_llm.py:270] Added request dceb693d-04c3-4893-ad54-b18070846eb2. INFO 04-21 16:30:41 [async_llm.py:270] Added request 28e23301-b125-48d8-ba12-b3f76fd6521e. INFO 04-21 16:30:41 [async_llm.py:270] Added request 1b7b1ee6-a4e8-4e05-bfe2-f729176bcb7b. INFO 04-21 16:30:41 [async_llm.py:270] Added request 58f6c3ac-54de-40b5-adb2-0d0fe235e4e7. INFO 04-21 16:30:41 [async_llm.py:270] Added request b8bc5a13-5772-4885-a962-b48729018a28. INFO 04-21 16:30:41 [async_llm.py:270] Added request c8b8e490-9199-4237-9246-e5b84468a17e. INFO 04-21 16:30:41 [async_llm.py:270] Added request 374db26f-9cb9-4fa3-bf78-096dde922277. INFO 04-21 16:30:41 [async_llm.py:270] Added request 92b32c36-ec0e-4c30-bb9b-a859436a1f25. INFO 04-21 16:30:41 [async_llm.py:270] Added request 62ae39c7-581e-4e6c-97ba-090f6f3312e2. INFO 04-21 16:30:41 [async_llm.py:270] Added request 2298bf8f-c787-4283-8918-9cb171080585. INFO 04-21 16:30:41 [async_llm.py:270] Added request 39bcf2fd-464d-4b20-8fb8-a6e62bd8d40e. INFO 04-21 16:30:41 [async_llm.py:270] Added request b3a26107-9ed3-43c5-b66b-f8e58c6f631b. INFO 04-21 16:30:41 [async_llm.py:270] Added request 95523581-787f-40a9-bed0-8ce4e3c80f09. INFO 04-21 16:30:41 [async_llm.py:270] Added request a8b156ab-3946-432a-8c50-46b180d3f44c. INFO 04-21 16:30:41 [async_llm.py:270] Added request 4b7b7f8a-6fee-44c7-a0eb-0a0eb0e837f5. INFO 04-21 16:30:41 [async_llm.py:270] Added request 0b269090-f93d-4fcb-bfbb-8d4d1a8a42ca. INFO 04-21 16:30:41 [async_llm.py:270] Added request 09227bab-33b3-42af-a33f-3617fd791810. INFO 04-21 16:30:41 [async_llm.py:270] Added request 39d1ac62-5018-418e-98a3-26d6186509ca. INFO 04-21 16:30:41 [async_llm.py:270] Added request 9a885dfe-b7d0-4e64-b7f9-13050ae7e25b. INFO 04-21 16:30:41 [async_llm.py:270] Added request 3702ebe8-6026-4fd9-90eb-691f5d66a08e. Two Step Extraction: 71%|██████████████████████████████████████████████████████████████████████████████████████▍ | 5/7 [00:26<00:13, 6.98s/it]Warning: The output was truncated due to length limit. Warning: The output was truncated due to length limit. Warning: line does not match layout format: od快手 Warning: line does not match layout format: 5 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911 系统中所有元素的值都为正值，其中第120 080 919 911