Initial dataset release

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sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_resample_1.candidate_generated/pool.shard0.jsonl

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+{"pair_id": "10861_fig::09F15", "qid": "10861_fig", "query": "A young adult takes out some medicine from an open cabinet in the kitchen.", "query_index": 1563, "query_pos_doc_id": "N0N4I", "fig_score": -0.09661865234375, "top1_doc_id": "09F15", "top1_score": 0.7417141199111938, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "09F15", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/09F15.mp4", "top1_start": 0.0, "top1_end": 30.12, "top1_duration": 30.12, "gt_video_id": "N0N4I", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/N0N4I.mp4", "gt_start": 9.6, "gt_end": 19.4, "gt_duration": 9.799999999999999}
+{"pair_id": "7844_fig::IZCB0", "qid": "7844_fig", "query": "another person, dressed in a pink shirt, opens the closet.", "query_index": 3674, "query_pos_doc_id": "8ICEM", "fig_score": 1.0673828125, "top1_doc_id": "IZCB0", "top1_score": 0.7401027083396912, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "IZCB0", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/IZCB0.mp4", "top1_start": 0.0, "top1_end": 29.28, "top1_duration": 29.28, "gt_video_id": "8ICEM", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/8ICEM.mp4", "gt_start": 10.7, "gt_end": 16.1, "gt_duration": 5.400000000000002}
+{"pair_id": "11079_fig::FQ6OB", "qid": "11079_fig", "query": "a person lying on a pillow awakens in bed, revealing a man with a beard and wearing a black shirt.", "query_index": 8582, "query_pos_doc_id": "9VZOY", "fig_score": 0.025848388671875, "top1_doc_id": "FQ6OB", "top1_score": 0.6612783670425415, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "FQ6OB", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/FQ6OB.mp4", "top1_start": 0.0, "top1_end": 31.74, "top1_duration": 31.74, "gt_video_id": "9VZOY", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/9VZOY.mp4", "gt_start": 0.0, "gt_end": 10.1, "gt_duration": 10.1}
+{"pair_id": "10897_fig::HKY1M", "qid": "10897_fig", "query": "Person in hallway, begins to move towards bathroom, smiling, using phone.", "query_index": 5439, "query_pos_doc_id": "H4IT6", "fig_score": 3.306640625, "top1_doc_id": "HKY1M", "top1_score": 0.7566279172897339, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "HKY1M", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/HKY1M.mp4", "top1_start": 0.0, "top1_end": 23.73, "top1_duration": 23.73, "gt_video_id": "H4IT6", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/H4IT6.mp4", "gt_start": 0.0, "gt_end": 4.4, "gt_duration": 4.4}
+{"pair_id": "10536_fig::17DOT", "qid": "10536_fig", "query": "Man in green, seated and focused on a red object, then rises from chair.", "query_index": 1957, "query_pos_doc_id": "WHRBU", "fig_score": -3.076171875, "top1_doc_id": "17DOT", "top1_score": 0.6752123236656189, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "17DOT", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/17DOT.mp4", "top1_start": 0.0, "top1_end": 22.0, "top1_duration": 22.0, "gt_video_id": "WHRBU", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/WHRBU.mp4", "gt_start": 16.5, "gt_end": 26.8, "gt_duration": 10.3}
+{"pair_id": "5511_fig::FQGQS", "qid": "5511_fig", "query": "The person closes a wooden door in the room.", "query_index": 1104, "query_pos_doc_id": "3ZHEX", "fig_score": -0.7744140625, "top1_doc_id": "FQGQS", "top1_score": 0.6838650107383728, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "FQGQS", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/FQGQS.mp4", "top1_start": 0.0, "top1_end": 11.91, "top1_duration": 11.91, "gt_video_id": "3ZHEX", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/3ZHEX.mp4", "gt_start": 1.4, "gt_end": 9.4, "gt_duration": 8.0}
+{"pair_id": "8674_fig::LOSLI", "qid": "8674_fig", "query": "The person wearing a plaid shirt sneezes at the desk.", "query_index": 6698, "query_pos_doc_id": "PWR6D", "fig_score": 2.853515625, "top1_doc_id": "LOSLI", "top1_score": 0.590737521648407, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "LOSLI", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/LOSLI.mp4", "top1_start": 0.0, "top1_end": 23.36, "top1_duration": 23.36, "gt_video_id": "PWR6D", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/PWR6D.mp4", "gt_start": 21.1, "gt_end": 32.0, "gt_duration": 10.899999999999999}
+{"pair_id": "14427_fig::CN480", "qid": "14427_fig", "query": "A person dressed in a green top and black pants stands in a doorway, holding it open.", "query_index": 7209, "query_pos_doc_id": "YRX5H", "fig_score": 1.71484375, "top1_doc_id": "CN480", "top1_score": 0.6851963996887207, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "CN480", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/CN480.mp4", "top1_start": 0.0, "top1_end": 7.55, "top1_duration": 7.55, "gt_video_id": "YRX5H", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/YRX5H.mp4", "gt_start": 1.5, "gt_end": 6.6, "gt_duration": 5.1}
+{"pair_id": "5352_fig::GY70Y", "qid": "5352_fig", "query": "a second person is sitting on the couch next to someone holding a silver pot.", "query_index": 11358, "query_pos_doc_id": "7QH3I", "fig_score": 1.4921875, "top1_doc_id": "GY70Y", "top1_score": 0.5934291481971741, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "GY70Y", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/GY70Y.mp4", "top1_start": 0.0, "top1_end": 32.32, "top1_duration": 32.32, "gt_video_id": "7QH3I", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/7QH3I.mp4", "gt_start": 7.6, "gt_end": 19.1, "gt_duration": 11.500000000000002}
+{"pair_id": "10586_fig::T3L2A", "qid": "10586_fig", "query": "A person is eating in a dimly lit hallway.", "query_index": 7192, "query_pos_doc_id": "PXBN0", "fig_score": 1.330078125, "top1_doc_id": "T3L2A", "top1_score": 0.7215837836265564, "top1_rank": 1, "gold_label": "not_match", "top1_video_id": "T3L2A", "top1_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/T3L2A.mp4", "top1_start": 0.0, "top1_end": 29.82, "top1_duration": 29.82, "gt_video_id": "PXBN0", "gt_video_path": "/hub_data5/seohyun/video/charades_sta/charades_sta/videos/PXBN0.mp4", "gt_start": 24.6, "gt_end": 30.0, "gt_duration": 5.399999999999999}

sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_resample_1.candidate_generated/run.shard0.log

@@ -0,0 +1,62 @@
+[video_meta] loaded source=/hub_data5/seohyun/softqmr/structured_charades/train/video_npy_with_meta/meta.jsonl entries=5338 by_path=5338 by_basename=5338 by_stem=5338 by_video_id=5338
+[local_vllm] loading model once for 1 job(s): Qwen/Qwen3-VL-30B-A3B-Thinking
+INFO 02-22 03:57:27 [__init__.py:216] Automatically detected platform cuda.
+INFO 02-22 03:57:32 [utils.py:233] non-default args: {'trust_remote_code': True, 'dtype': 'bfloat16', 'seed': 42, 'max_model_len': 32768, 'disable_log_stats': True, 'model': 'Qwen/Qwen3-VL-30B-A3B-Thinking'}
+The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+INFO 02-22 03:57:33 [model.py:547] Resolved architecture: Qwen3VLMoeForConditionalGeneration
+`torch_dtype` is deprecated! Use `dtype` instead!
+INFO 02-22 03:57:33 [model.py:1510] Using max model len 32768
+INFO 02-22 03:57:33 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
+INFO 02-22 03:57:39 [__init__.py:216] Automatically detected platform cuda.
+(EngineCore_DP0 pid=376020) INFO 02-22 03:57:40 [core.py:644] Waiting for init message from front-end.
+(EngineCore_DP0 pid=376020) INFO 02-22 03:57:40 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='Qwen/Qwen3-VL-30B-A3B-Thinking', speculative_config=None, tokenizer='Qwen/Qwen3-VL-30B-A3B-Thinking', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=42, served_model_name=Qwen/Qwen3-VL-30B-A3B-Thinking, enable_prefix_caching=True, chunked_prefill_enabled=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","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"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,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+(EngineCore_DP0 pid=376020) INFO 02-22 03:57:43 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
+(EngineCore_DP0 pid=376020) WARNING 02-22 03:57:43 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
+(EngineCore_DP0 pid=376020) INFO 02-22 03:57:47 [gpu_model_runner.py:2602] Starting to load model Qwen/Qwen3-VL-30B-A3B-Thinking...
+(EngineCore_DP0 pid=376020) INFO 02-22 03:57:47 [gpu_model_runner.py:2634] Loading model from scratch...
+(EngineCore_DP0 pid=376020) INFO 02-22 03:57:47 [cuda.py:366] Using Flash Attention backend on V1 engine.
+(EngineCore_DP0 pid=376020) INFO 02-22 03:57:48 [weight_utils.py:392] Using model weights format ['*.safetensors']
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:10 [default_loader.py:267] Loading weights took 21.87 seconds
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:10 [gpu_model_runner.py:2653] Model loading took 58.3231 GiB and 22.599693 seconds
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:11 [gpu_model_runner.py:3344] Encoder cache will be initialized with a budget of 153600 tokens, and profiled with 1 video items of the maximum feature size.
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:27 [backends.py:548] Using cache directory: /root/.cache/vllm/torch_compile_cache/4cb7f94565/rank_0_0/backbone for vLLM's torch.compile
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:27 [backends.py:559] Dynamo bytecode transform time: 6.75 s
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:30 [backends.py:164] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.682 s
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:31 [fused_moe.py:788] Using configuration from /venv/vlpo/lib/python3.11/site-packages/vllm/model_executor/layers/fused_moe/configs/E=128,N=768,device_name=NVIDIA_H200.json for MoE layer.
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:31 [monitor.py:34] torch.compile takes 6.75 s in total
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:32 [gpu_worker.py:298] Available KV cache memory: 59.07 GiB
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:32 [kv_cache_utils.py:1087] GPU KV cache size: 645,216 tokens
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:32 [kv_cache_utils.py:1091] Maximum concurrency for 32,768 tokens per request: 19.69x
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) 
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:45 [gpu_model_runner.py:3480] Graph capturing finished in 13 secs, took 1.11 GiB
+(EngineCore_DP0 pid=376020) INFO 02-22 03:58:46 [core.py:210] init engine (profile, create kv cache, warmup model) took 35.24 seconds
+INFO 02-22 03:58:47 [llm.py:306] Supported_tasks: ['generate']
+[job 1/1] pool=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_resample_1.candidate_generated/pool.shard0.jsonl -> output=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_resample_1.candidate_generated/out.shard0.jsonl
+
+
+[generate] saved=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_resample_1.candidate_generated/out.shard0.jsonl
+[generate] completed jobs=1/1
+[rank0]:[W222 04:07:50.871160095 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())

sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_1.rerun/run.shard0.log

@@ -0,0 +1,62 @@
+[video_meta] loaded source=/hub_data5/seohyun/softqmr/structured_charades/train/video_npy_with_meta/meta.jsonl entries=5338 by_path=5338 by_basename=5338 by_stem=5338 by_video_id=5338
+[local_vllm] loading model once for 1 job(s): Qwen/Qwen3-VL-30B-A3B-Thinking
+INFO 02-22 01:56:15 [__init__.py:216] Automatically detected platform cuda.
+INFO 02-22 01:56:19 [utils.py:233] non-default args: {'trust_remote_code': True, 'dtype': 'bfloat16', 'seed': 42, 'max_model_len': 32768, 'disable_log_stats': True, 'model': 'Qwen/Qwen3-VL-30B-A3B-Thinking'}
+The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+INFO 02-22 01:56:20 [model.py:547] Resolved architecture: Qwen3VLMoeForConditionalGeneration
+`torch_dtype` is deprecated! Use `dtype` instead!
+INFO 02-22 01:56:20 [model.py:1510] Using max model len 32768
+INFO 02-22 01:56:20 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
+INFO 02-22 01:56:26 [__init__.py:216] Automatically detected platform cuda.
+(EngineCore_DP0 pid=312098) INFO 02-22 01:56:27 [core.py:644] Waiting for init message from front-end.
+(EngineCore_DP0 pid=312098) INFO 02-22 01:56:27 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='Qwen/Qwen3-VL-30B-A3B-Thinking', speculative_config=None, tokenizer='Qwen/Qwen3-VL-30B-A3B-Thinking', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=42, served_model_name=Qwen/Qwen3-VL-30B-A3B-Thinking, enable_prefix_caching=True, chunked_prefill_enabled=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","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"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,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+(EngineCore_DP0 pid=312098) INFO 02-22 01:56:29 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
+(EngineCore_DP0 pid=312098) WARNING 02-22 01:56:30 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
+(EngineCore_DP0 pid=312098) INFO 02-22 01:56:33 [gpu_model_runner.py:2602] Starting to load model Qwen/Qwen3-VL-30B-A3B-Thinking...
+(EngineCore_DP0 pid=312098) INFO 02-22 01:56:34 [gpu_model_runner.py:2634] Loading model from scratch...
+(EngineCore_DP0 pid=312098) INFO 02-22 01:56:34 [cuda.py:366] Using Flash Attention backend on V1 engine.
+(EngineCore_DP0 pid=312098) INFO 02-22 01:56:34 [weight_utils.py:392] Using model weights format ['*.safetensors']
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:10 [default_loader.py:267] Loading weights took 35.11 seconds
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:10 [gpu_model_runner.py:2653] Model loading took 58.3231 GiB and 36.049132 seconds
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:10 [gpu_model_runner.py:3344] Encoder cache will be initialized with a budget of 153600 tokens, and profiled with 1 video items of the maximum feature size.
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:26 [backends.py:548] Using cache directory: /root/.cache/vllm/torch_compile_cache/4cb7f94565/rank_0_0/backbone for vLLM's torch.compile
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:26 [backends.py:559] Dynamo bytecode transform time: 6.71 s
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:29 [backends.py:164] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.576 s
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:30 [fused_moe.py:788] Using configuration from /venv/vlpo/lib/python3.11/site-packages/vllm/model_executor/layers/fused_moe/configs/E=128,N=768,device_name=NVIDIA_H200.json for MoE layer.
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:30 [monitor.py:34] torch.compile takes 6.71 s in total
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:31 [gpu_worker.py:298] Available KV cache memory: 59.07 GiB
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:31 [kv_cache_utils.py:1087] GPU KV cache size: 645,216 tokens
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:31 [kv_cache_utils.py:1091] Maximum concurrency for 32,768 tokens per request: 19.69x
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) 
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:41 [gpu_model_runner.py:3480] Graph capturing finished in 10 secs, took 1.11 GiB
+(EngineCore_DP0 pid=312098) INFO 02-22 01:57:41 [core.py:210] init engine (profile, create kv cache, warmup model) took 31.31 seconds
+INFO 02-22 01:57:43 [llm.py:306] Supported_tasks: ['generate']
+[job 1/1] pool=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_1.rerun/pool.shard0.jsonl -> output=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_1.rerun/out.shard0.jsonl
+
+
+[generate] saved=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_1.rerun/out.shard0.jsonl
+[generate] completed jobs=1/1
+[rank0]:[W222 02:57:20.505134498 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())

sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_2.rerun/run.shard0.log

@@ -0,0 +1,61 @@
+[video_meta] loaded source=/hub_data5/seohyun/softqmr/structured_charades/train/video_npy_with_meta/meta.jsonl entries=5338 by_path=5338 by_basename=5338 by_stem=5338 by_video_id=5338
+[local_vllm] loading model once for 1 job(s): Qwen/Qwen3-VL-30B-A3B-Thinking
+INFO 02-22 02:57:27 [__init__.py:216] Automatically detected platform cuda.
+INFO 02-22 02:57:31 [utils.py:233] non-default args: {'trust_remote_code': True, 'dtype': 'bfloat16', 'seed': 42, 'max_model_len': 32768, 'disable_log_stats': True, 'model': 'Qwen/Qwen3-VL-30B-A3B-Thinking'}
+The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+INFO 02-22 02:57:32 [model.py:547] Resolved architecture: Qwen3VLMoeForConditionalGeneration
+`torch_dtype` is deprecated! Use `dtype` instead!
+INFO 02-22 02:57:32 [model.py:1510] Using max model len 32768
+INFO 02-22 02:57:33 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
+INFO 02-22 02:57:38 [__init__.py:216] Automatically detected platform cuda.
+(EngineCore_DP0 pid=340546) INFO 02-22 02:57:39 [core.py:644] Waiting for init message from front-end.
+(EngineCore_DP0 pid=340546) INFO 02-22 02:57:39 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='Qwen/Qwen3-VL-30B-A3B-Thinking', speculative_config=None, tokenizer='Qwen/Qwen3-VL-30B-A3B-Thinking', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=42, served_model_name=Qwen/Qwen3-VL-30B-A3B-Thinking, enable_prefix_caching=True, chunked_prefill_enabled=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","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"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,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+(EngineCore_DP0 pid=340546) INFO 02-22 02:57:42 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
+(EngineCore_DP0 pid=340546) WARNING 02-22 02:57:42 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
+(EngineCore_DP0 pid=340546) INFO 02-22 02:57:45 [gpu_model_runner.py:2602] Starting to load model Qwen/Qwen3-VL-30B-A3B-Thinking...
+(EngineCore_DP0 pid=340546) INFO 02-22 02:57:46 [gpu_model_runner.py:2634] Loading model from scratch...
+(EngineCore_DP0 pid=340546) INFO 02-22 02:57:46 [cuda.py:366] Using Flash Attention backend on V1 engine.
+(EngineCore_DP0 pid=340546) INFO 02-22 02:57:46 [weight_utils.py:392] Using model weights format ['*.safetensors']
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:09 [default_loader.py:267] Loading weights took 22.89 seconds
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:10 [gpu_model_runner.py:2653] Model loading took 58.3231 GiB and 23.619058 seconds
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:10 [gpu_model_runner.py:3344] Encoder cache will be initialized with a budget of 153600 tokens, and profiled with 1 video items of the maximum feature size.
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:26 [backends.py:548] Using cache directory: /root/.cache/vllm/torch_compile_cache/4cb7f94565/rank_0_0/backbone for vLLM's torch.compile
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:26 [backends.py:559] Dynamo bytecode transform time: 6.71 s
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:29 [backends.py:164] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.594 s
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:30 [fused_moe.py:788] Using configuration from /venv/vlpo/lib/python3.11/site-packages/vllm/model_executor/layers/fused_moe/configs/E=128,N=768,device_name=NVIDIA_H200.json for MoE layer.
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:30 [monitor.py:34] torch.compile takes 6.71 s in total
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:31 [gpu_worker.py:298] Available KV cache memory: 59.07 GiB
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:31 [kv_cache_utils.py:1087] GPU KV cache size: 645,216 tokens
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:31 [kv_cache_utils.py:1091] Maximum concurrency for 32,768 tokens per request: 19.69x
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) 
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:41 [gpu_model_runner.py:3480] Graph capturing finished in 10 secs, took 1.11 GiB
+(EngineCore_DP0 pid=340546) INFO 02-22 02:58:41 [core.py:210] init engine (profile, create kv cache, warmup model) took 31.69 seconds
+INFO 02-22 02:58:43 [llm.py:306] Supported_tasks: ['generate']
+[job 1/1] pool=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_2.rerun/pool.shard0.jsonl -> output=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_2.rerun/out.shard0.jsonl
+
+[generate] saved=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_2.rerun/out.shard0.jsonl
+[generate] completed jobs=1/1
+[rank0]:[W222 03:33:41.226897736 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())

sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_3.rerun/run.shard0.log

@@ -0,0 +1,61 @@
+[video_meta] loaded source=/hub_data5/seohyun/softqmr/structured_charades/train/video_npy_with_meta/meta.jsonl entries=5338 by_path=5338 by_basename=5338 by_stem=5338 by_video_id=5338
+[local_vllm] loading model once for 1 job(s): Qwen/Qwen3-VL-30B-A3B-Thinking
+INFO 02-22 03:33:48 [__init__.py:216] Automatically detected platform cuda.
+INFO 02-22 03:33:52 [utils.py:233] non-default args: {'trust_remote_code': True, 'dtype': 'bfloat16', 'seed': 42, 'max_model_len': 32768, 'disable_log_stats': True, 'model': 'Qwen/Qwen3-VL-30B-A3B-Thinking'}
+The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+INFO 02-22 03:33:52 [model.py:547] Resolved architecture: Qwen3VLMoeForConditionalGeneration
+`torch_dtype` is deprecated! Use `dtype` instead!
+INFO 02-22 03:33:52 [model.py:1510] Using max model len 32768
+INFO 02-22 03:33:53 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
+INFO 02-22 03:33:59 [__init__.py:216] Automatically detected platform cuda.
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:00 [core.py:644] Waiting for init message from front-end.
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:00 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='Qwen/Qwen3-VL-30B-A3B-Thinking', speculative_config=None, tokenizer='Qwen/Qwen3-VL-30B-A3B-Thinking', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=42, served_model_name=Qwen/Qwen3-VL-30B-A3B-Thinking, enable_prefix_caching=True, chunked_prefill_enabled=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","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"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,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:02 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
+(EngineCore_DP0 pid=360302) WARNING 02-22 03:34:03 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:06 [gpu_model_runner.py:2602] Starting to load model Qwen/Qwen3-VL-30B-A3B-Thinking...
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:06 [gpu_model_runner.py:2634] Loading model from scratch...
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:06 [cuda.py:366] Using Flash Attention backend on V1 engine.
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:07 [weight_utils.py:392] Using model weights format ['*.safetensors']
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:29 [default_loader.py:267] Loading weights took 21.96 seconds
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:30 [gpu_model_runner.py:2653] Model loading took 58.3231 GiB and 22.681743 seconds
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:30 [gpu_model_runner.py:3344] Encoder cache will be initialized with a budget of 153600 tokens, and profiled with 1 video items of the maximum feature size.
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:45 [backends.py:548] Using cache directory: /root/.cache/vllm/torch_compile_cache/4cb7f94565/rank_0_0/backbone for vLLM's torch.compile
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:45 [backends.py:559] Dynamo bytecode transform time: 6.68 s
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:48 [backends.py:164] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.550 s
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:48 [fused_moe.py:788] Using configuration from /venv/vlpo/lib/python3.11/site-packages/vllm/model_executor/layers/fused_moe/configs/E=128,N=768,device_name=NVIDIA_H200.json for MoE layer.
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:48 [monitor.py:34] torch.compile takes 6.68 s in total
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:49 [gpu_worker.py:298] Available KV cache memory: 59.07 GiB
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:50 [kv_cache_utils.py:1087] GPU KV cache size: 645,216 tokens
+(EngineCore_DP0 pid=360302) INFO 02-22 03:34:50 [kv_cache_utils.py:1091] Maximum concurrency for 32,768 tokens per request: 19.69x
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) 
+(EngineCore_DP0 pid=360302) INFO 02-22 03:35:01 [gpu_model_runner.py:3480] Graph capturing finished in 11 secs, took 1.11 GiB
+(EngineCore_DP0 pid=360302) INFO 02-22 03:35:01 [core.py:210] init engine (profile, create kv cache, warmup model) took 31.38 seconds
+INFO 02-22 03:35:02 [llm.py:306] Supported_tasks: ['generate']
+[job 1/1] pool=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_3.rerun/pool.shard0.jsonl -> output=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_3.rerun/out.shard0.jsonl
+
+[generate] saved=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.repair_top1_reasoning_grounding.train/.shard_runs_retry_3.rerun/out.shard0.jsonl
+[generate] completed jobs=1/1
+[rank0]:[W222 03:57:20.741808829 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())

sft_data/.repair_top1_reasoning_grounding.train/final.bad_manifest.json

@@ -0,0 +1 @@
+[]

sft_data/.repair_top1_reasoning_grounding.train/resample_1.candidate_pool.jsonl

@@ -0,0 +1,52 @@
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sft_data/.repair_top1_reasoning_grounding.train/resample_1.manifest.json

@@ -0,0 +1,119 @@
+[
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sft_data/.repair_top1_reasoning_grounding.train/retry_3.manifest.json

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sft_data/.shard_runs_top1_reasoning_grounding.train/run.shard0.log

@@ -0,0 +1,77 @@
+[video_meta] loaded source=/hub_data5/seohyun/softqmr/structured_charades/train/video_npy_with_meta/meta.jsonl entries=5338 by_path=5338 by_basename=5338 by_stem=5338 by_video_id=5338
+[local_vllm] loading model once for 1 job(s): Qwen/Qwen3-VL-30B-A3B-Thinking
+INFO 02-16 13:37:50 [__init__.py:216] Automatically detected platform cuda.
+INFO 02-16 13:37:53 [utils.py:233] non-default args: {'trust_remote_code': True, 'dtype': 'bfloat16', 'seed': 42, 'max_model_len': 32768, 'disable_log_stats': True, 'model': 'Qwen/Qwen3-VL-30B-A3B-Thinking'}
+The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+INFO 02-16 13:37:53 [model.py:547] Resolved architecture: Qwen3VLMoeForConditionalGeneration
+`torch_dtype` is deprecated! Use `dtype` instead!
+INFO 02-16 13:37:53 [model.py:1510] Using max model len 32768
+INFO 02-16 13:37:54 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
+INFO 02-16 13:38:00 [__init__.py:216] Automatically detected platform cuda.
+(EngineCore_DP0 pid=136402) INFO 02-16 13:38:01 [core.py:644] Waiting for init message from front-end.
+(EngineCore_DP0 pid=136402) INFO 02-16 13:38:01 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='Qwen/Qwen3-VL-30B-A3B-Thinking', speculative_config=None, tokenizer='Qwen/Qwen3-VL-30B-A3B-Thinking', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=42, served_model_name=Qwen/Qwen3-VL-30B-A3B-Thinking, enable_prefix_caching=True, chunked_prefill_enabled=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","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"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,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
+(EngineCore_DP0 pid=136402) INFO 02-16 13:38:04 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
+(EngineCore_DP0 pid=136402) WARNING 02-16 13:38:04 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
+(EngineCore_DP0 pid=136402) INFO 02-16 13:38:09 [gpu_model_runner.py:2602] Starting to load model Qwen/Qwen3-VL-30B-A3B-Thinking...
+(EngineCore_DP0 pid=136402) INFO 02-16 13:38:10 [gpu_model_runner.py:2634] Loading model from scratch...
+(EngineCore_DP0 pid=136402) INFO 02-16 13:38:10 [cuda.py:366] Using Flash Attention backend on V1 engine.
+(EngineCore_DP0 pid=136402) INFO 02-16 13:38:10 [weight_utils.py:392] Using model weights format ['*.safetensors']
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) INFO 02-16 13:44:12 [default_loader.py:267] Loading weights took 361.07 seconds
+(EngineCore_DP0 pid=136402) INFO 02-16 13:44:12 [gpu_model_runner.py:2653] Model loading took 58.3231 GiB and 361.666699 seconds
+(EngineCore_DP0 pid=136402) INFO 02-16 13:44:12 [gpu_model_runner.py:3344] Encoder cache will be initialized with a budget of 153600 tokens, and profiled with 1 video items of the maximum feature size.
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:03 [backends.py:548] Using cache directory: /root/.cache/vllm/torch_compile_cache/8bf7e3d510/rank_0_0/backbone for vLLM's torch.compile
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:03 [backends.py:559] Dynamo bytecode transform time: 6.70 s
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:06 [backends.py:164] Directly load the compiled graph(s) for dynamic shape from the cache, took 2.373 s
+(EngineCore_DP0 pid=136402) WARNING 02-16 13:45:06 [fused_moe.py:798] Using default MoE config. Performance might be sub-optimal! Config file not found at ['/venv/vlpo2/lib/python3.11/site-packages/vllm/model_executor/layers/fused_moe/configs/E=128,N=768,device_name=NVIDIA_RTX_PRO_6000_Blackwell_Server_Edition.json']
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:06 [monitor.py:34] torch.compile takes 6.70 s in total
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:07 [gpu_worker.py:298] Available KV cache memory: 18.80 GiB
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:07 [kv_cache_utils.py:1087] GPU KV cache size: 205,360 tokens
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:07 [kv_cache_utils.py:1091] Maximum concurrency for 32,768 tokens per request: 6.27x
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) 
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:19 [gpu_model_runner.py:3480] Graph capturing finished in 12 secs, took 0.93 GiB
+(EngineCore_DP0 pid=136402) INFO 02-16 13:45:19 [core.py:210] init engine (profile, create kv cache, warmup model) took 67.08 seconds
+INFO 02-16 13:45:20 [llm.py:306] Supported_tasks: ['generate']
+[job 1/1] pool=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.shard_runs_top1_reasoning_grounding.train/pool.shard0.jsonl -> output=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.shard_runs_top1_reasoning_grounding.train/out.shard0.jsonl
+[resume] /hub_data5/seohyun/softqmr/structured_charades/sft_data/.shard_runs_top1_reasoning_grounding.train/out.shard0.jsonl existing=235
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[generate] saved=/hub_data5/seohyun/softqmr/structured_charades/sft_data/.shard_runs_top1_reasoning_grounding.train/out.shard0.jsonl
+[generate] completed jobs=1/1
+[rank0]:[W216 16:42:42.538247830 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())