[Bug]: KeyError in apply_grammar_bitmask for structured outputs #24929
Description
Your current environment
The output of python collect_env.py
Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 24.04.2 LTS (x86_64)
GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version : Could not collect
CMake version : version 4.1.0
Libc version : glibc-2.39
==============================
PyTorch Info
==============================
PyTorch version : 2.8.0+cu129
Is debug build : False
CUDA used to build PyTorch : 12.9
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.13.7 (main, Sep 2 2025, 14:21:46) [Clang 20.1.4 ] (64-bit runtime)
Python platform : Linux-5.15.0-136-generic-x86_64-with-glibc2.39
==============================
CUDA / GPU Info
==============================
Is CUDA available : True
CUDA runtime version : 12.9.86
CUDA_MODULE_LOADING set to : LAZY
GPU models and configuration :
GPU 0: NVIDIA H200
GPU 1: NVIDIA H200
GPU 2: NVIDIA H200
GPU 3: NVIDIA H200
Nvidia driver version : 550.144.03
cuDNN version : Could not collect
HIP runtime version : N/A
MIOpen runtime version : N/A
Is XNNPACK available : True
==============================
CPU Info
==============================
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 43 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 128
On-line CPU(s) list: 0-127
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8468
CPU family: 6
Model: 143
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 2
Stepping: 8
BogoMIPS: 4200.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology cpuid tsc_known_freq pni pclmulqdq dtes64 ssse3 fma cx16 pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 wbnoinvd arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b fsrm md_clear serialize tsxldtrk amx_bf16 avx512_fp16 amx_tile amx_int8 arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 4 MiB (128 instances)
L1i cache: 4 MiB (128 instances)
L2 cache: 256 MiB (64 instances)
L3 cache: 32 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-63
NUMA node1 CPU(s): 64-127
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Unknown: No mitigations
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Mitigation; TSX disabled
==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.3.0
[pip3] numpy==2.2.6
[pip3] nvidia-cublas-cu12==12.9.1.4
[pip3] nvidia-cuda-cupti-cu12==12.9.79
[pip3] nvidia-cuda-nvrtc-cu12==12.9.86
[pip3] nvidia-cuda-runtime-cu12==12.9.79
[pip3] nvidia-cudnn-cu12==9.10.2.21
[pip3] nvidia-cufft-cu12==11.4.1.4
[pip3] nvidia-cufile-cu12==1.14.1.1
[pip3] nvidia-curand-cu12==10.3.10.19
[pip3] nvidia-cusolver-cu12==11.7.5.82
[pip3] nvidia-cusparse-cu12==12.5.10.65
[pip3] nvidia-cusparselt-cu12==0.7.1
[pip3] nvidia-nccl-cu12==2.27.3
[pip3] nvidia-nvjitlink-cu12==12.9.86
[pip3] nvidia-nvshmem-cu12==3.4.5
[pip3] nvidia-nvtx-cu12==12.9.79
[pip3] pyzmq==27.1.0
[pip3] torch==2.8.0+cu129
[pip3] torchaudio==2.8.0+cu129
[pip3] torchvision==0.23.0+cu129
[pip3] transformers==4.56.1
[pip3] triton==3.4.0
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.10.2rc3.dev647+g9748197b0 (git sha: 9748197b0)
vLLM Build Flags:
CUDA Archs: 8.0 8.6 8.9 9.0 10.0 12.0; ROCm: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 0-63 0 N/A
GPU1 NV18 X NV18 NV18 0-63 0 N/A
GPU2 NV18 NV18 X NV18 64-127 1 N/A
GPU3 NV18 NV18 NV18 X 64-127 1 N/A
Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
==============================
Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=GPU-694c7785-9cb9-d4a2-60dd-6b408d7194b4,GPU-502ccc7a-48ce-a175-cff2-cb3c89d70150,GPU-70b9a481-02f7-cb83-dbd4-20edb232ae9c,GPU-0fa82e36-a4f5-d9f8-9e01-9716a13da216
NVIDIA_REQUIRE_CUDA=cuda>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571
TORCH_CUDA_ARCH_LIST=8.0 8.6 8.9 9.0 10.0 12.0
NCCL_VERSION=2.27.3-1
VLLM_CACHE_ROOT=/var/data/models
NVIDIA_DRIVER_CAPABILITIES=compute,utility
VLLM_WORKER_MULTIPROC_METHOD=spawn
NVIDIA_PRODUCT_NAME=CUDA
VLLM_USAGE_SOURCE=production-docker-image
VLLM_USE_FLASHINFER_SAMPLER=0
CUDA_VERSION=12.9.1
VLLM_DO_NOT_TRACK=1
MAX_JOBS=16
LD_LIBRARY_PATH=/usr/local/cuda/lib64
VLLM_NO_USAGE_STATS=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY
🐛 Describe the bug
This crash happens rarely but it kills vllm when it happens.
My understanding is that sometimes scheduler_output.structured_output_request_ids gets a request that is missing in model_runner.input_batch.req_id_to_index. That is probably not expected. And the current code in apply_grammar_bitmask is not prepared for such cases.
This bug is hard to reproduce.
Stack trace:
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] Traceback (most recent call last):
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] File "/opt/venv/lib/python3.13/site-packages/vllm/v1/executor/multiproc_executor.py", line 649, in worker_busy_loop
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] output = func(*args, **kwargs)
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] File "/opt/venv/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] return func(*args, **kwargs)
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] File "/opt/venv/lib/python3.13/site-packages/vllm/v1/worker/gpu_worker.py", line 436, in execute_model
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] output = self.model_runner.execute_model(scheduler_output,
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] intermediate_tensors)
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] File "/opt/venv/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] return func(*args, **kwargs)
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] File "/opt/venv/lib/python3.13/site-packages/vllm/v1/worker/gpu_model_runner.py", line 2115, in execute_model
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] self.apply_grammar_bitmask(scheduler_output, logits)
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] ~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] File "/opt/venv/lib/python3.13/site-packages/vllm/v1/worker/gpu_model_runner.py", line 1594, in apply_grammar_bitmask
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] logit_index = struct_out_req_batch_indices[req_id]
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
(Worker_TP2 pid=405) ERROR 09-15 20:18:35 [multiproc_executor.py:654] KeyError: 'chatcmpl-7eaf44881ad749c7824e5c09a54152d5'
Some dumps after vllm crashes:
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:69] Dumping input data for V1 LLM engine (v0.10.2rc3.dev647+g9748197b0) with config: model='meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8', speculative_config=None, tokenizer='meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=421552, download_dir='/var/data/models', load_format=auto, tensor_parallel_size=4, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=compressed-tensors, 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=meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8, 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","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":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,"pass_config":{},"max_capture_size":512,"local_cache_dir":null},
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:76] Dumping scheduler output for model execution: SchedulerOutput(scheduled_new_reqs=[], scheduled_cached_reqs=CachedRequestData(req_ids=['chatcmpl-520eddd48db44e60a3dcd0042b970e56', 'chatcmpl-05bda845f6c7418eb43f747b7683ffa1', 'chatcmpl-de8bc884e2554e79ab38ea81ccfe46e0', 'chatcmpl-e4521e0945ca4e4c897e4feecdedc94b', 'chatcmpl-e8e5a83339db47f4b15d2795e6fe8bfe'], resumed_from_preemption=[false, false, false, false, false], new_token_ids=[], new_block_ids=[null, null, null, null, [[26037, 17352, 2067, 7038, 11201, 24368, 16355, 16054, 20098, 7030, 7085, 13300, 2574, 3536, 39, 7980, 4100, 7678, 9664, 10099, 21196, 1689, 25846, 12567, 285, 23179, 22354, 24930, 16882, 13259, 12017, 25276, 9054, 20385, 5253, 4934, 10564, 4577, 4133, 24869, 2114, 4589, 12526, 5214, 3930, 2774, 3909, 19447, 5736, 5288, 25984, 5555, 5902, 23407, 24976, 6953, 22157, 8115, 14865, 20201, 4719, 25565, 2647, 9249, 5903, 2775, 4844, 5281, 7177, 24771, 3346, 1420, 10560, 20741, 12626, 26187, 10924, 17283, 22803, 8134, 9910, 11306, 2144, 23939, 5311, 3023, 18202, 4200, 3679, 3672, 24323, 25563, 13625, 3620, 22150, 105, 4867, 24092, 21254, 26214, 7954, 11406, 19546, 12416, 13631, 13316, 26191, 11767, 20748, 7629, 10904, 20410, 12411, 10282, 3626, 15080, 11811, 16780, 15597, 19042, 11099, 5059, 6159, 14297, 23494, 10207, 14073, 20302, 11979, 1830, 14284, 670, 12589, 2746, 19540, 6677, 2745, 2744, 25938, 9037, 12518, 22963, 23350, 22621, 21945, 23784, 16827, 16829, 8454, 7749, 16331, 538, 25071, 5321, 25955, 22922, 20095, 1489, 4700, 24532, 11092, 17037, 10360, 11075, 10729, 3572, 25659, 5407, 12648, 7472, 9964, 24482, 9617, 11315, 17881, 7553, 14405, 21590, 13619, 12547, 20195, 9212, 21937, 25029, 11670, 22129, 8465, 9889, 25773, 8595, 9407, 8962, 16308, 3548, 3217, 26179, 22187, 16864, 17778, 20914, 20674, 17226, 19137, 19266, 19076, 18498, 9237, 15566, 18759, 18751, 13932, 5455, 21151, 19695, 11214, 14474, 14317, 19547, 20735, 3432, 17921, 23845, 7155, 19171, 19723, 20342, 2307, 11660, 16778, 15938, 3495, 21077, 14787, 16059, 14068, 1909, 2728, 22520, 1208, 932, 7360, 13842, 12906, 13124, 3497, 558, 8848, 11723, 5413, 24401, 2797, 20147, 6696, 4615, 2140, 1597, 13153, 14784, 3906, 4976, 3961, 3583, 6179, 11457, 2608, 24685, 752, 14697, 14690, 5106, 11295, 745, 7182, 715, 1224, 5297, 3520, 2170, 6254, 1505, 14340, 24977, 3402, 3807, 1310, 1382, 3670, 18886, 368, 1401, 1798, 14689, 24280, 5103, 10595, 9087, 11320, 1953, 11742, 1422, 711, 720, 21171, 7539, 26319, 11453, 8033, 19776, 22226, 14758, 17543, 13394, 18484, 18572, 3537, 9754, 16323, 18747, 26284, 1135, 25948, 25966, 18877, 22348, 11432, 18379, 18380, 18381, 19466, 19457, 17015, 15975, 5232, 5548, 11171, 963, 11613, 1005, 6643, 22554, 22557, 13126, 13182, 25371, 25434, 1786, 17546, 8894, 7993, 14673, 2680, 17124, 20306, 20307, 20309, 2596, 2700, 1934, 22000, 13520, 26338, 24249, 11086, 26203, 12274, 14589, 9544, 12813, 14745, 13851, 15559, 6026, 17540, 16039, 15676, 15883, 25711, 25548, 17038, 25094, 8636, 13330, 24594, 7669, 23900, 21183, 6592, 13612, 3927, 23362, 12451, 13517, 22165, 347, 2321, 1506, 24379, 1699, 1511, 22435, 24777, 716, 10916, 25016, 7181, 4261, 1411, 1533, 9757, 23902, 12579, 17672, 6979, 3152, 20168, 11449, 12862, 24782, 567, 16931, 1652, 570, 1925, 1748, 11435, 5571, 26176, 25060, 15878, 2883, 860, 25893, 710, 23206, 16944, 25519, 23234, 1337, 14397, 14631, 14059, 12331, 26157, 83, 24715, 551, 25974, 24075, 24062, 25239, 25979, 864, 25911, 21154, 7569, 7498, 6939, 6936, 8510, 6174, 26124, 3743, 21666, 112, 22419, 22825, 22535, 2622, 1888, 15335, 19191, 20355, 21229, 19699, 20923, 19185, 4704, 23130, 8885, 386, 1353, 20455, 697, 18125, 6340, 21420, 1322, 2536, 5325, 22209, 1479, 23068, 23066, 6988, 21948, 4617, 22059, 22996, 22738, 4173, 5662, 21404, 8646, 601, 11706, 11844, 4096, 4659, 14272, 7409, 20605, 9359]]], num_computed_tokens=[2440, 2574, 2340, 2322, 45605]), num_scheduled_tokens={chatcmpl-e8e5a83339db47f4b15d2795e6fe8bfe: 8188, chatcmpl-e4521e0945ca4e4c897e4feecdedc94b: 1, chatcmpl-de8bc884e2554e79ab38ea81ccfe46e0: 1, chatcmpl-520eddd48db44e60a3dcd0042b970e56: 1, chatcmpl-05bda845f6c7418eb43f747b7683ffa1: 1}, total_num_scheduled_tokens=8192, scheduled_spec_decode_tokens={}, scheduled_encoder_inputs={chatcmpl-e8e5a83339db47f4b15d2795e6fe8bfe: [30, 31, 32]}, num_common_prefix_blocks=[0], finished_req_ids=[], free_encoder_mm_hashes=['393473abcc75aa079f067d738a982d32a148c3eecc4c0cc1c07a85eddd4b7dfd', '5a038576d4526f4e1bd31593f84e03787a43b47ba0dd74af452be09537e04d40', '74587cb7061ea5593171ba9f1966a464dfd9fd8dbd1af56382099ac30dabc750'], structured_output_request_ids={chatcmpl-de8bc884e2554e79ab38ea81ccfe46e0: 2, chatcmpl-520eddd48db44e60a3dcd0042b970e56: 0, chatcmpl-e4521e0945ca4e4c897e4feecdedc94b: 3, chatcmpl-7eaf44881ad749c7824e5c09a54152d5: 5, chatcmpl-05bda845f6c7418eb43f747b7683ffa1: 1, chatcmpl-e90c85f4831a4bfa825beb00985760ad: 6}, grammar_bitmask=array([[-8161, -1, -1, ..., 0, 0, 0],
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:76] [16384, 0, 0, ..., 0, 0, 0],
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:76] [-8161, -1, -1, ..., 0, 0, 0],
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:76] [ 0, 0, 128, ..., 0, 0, 0],
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:76] [-8161, -1, -1, ..., 0, 0, 0],
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:76] [ 0, 0, 0, ..., 0, 0, 0]],
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:76] shape=(6, 6314), dtype=int32), kv_connector_metadata=null)
(EngineCore_DP0 pid=270) ERROR 09-15 20:18:35 [dump_input.py:79] Dumping scheduler stats: SchedulerStats(num_running_reqs=8, num_waiting_reqs=0, step_counter=0, current_wave=0, kv_cache_usage=0.15501404387762852, prefix_cache_stats=PrefixCacheStats(reset=False, requests=0, queries=0, hits=0), spec_decoding_stats=None, num_corrupted_reqs=0)