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[Bug]: [DCP] [DSV3] AssertionError on long context when --decode-context-parallel-size is enabled #28476

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[Bug]: [DCP] [DSV3] AssertionError on long context when --decode-context-parallel-size is enabled#28476
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bugSomething isn't working
@cjackal

Description

@cjackal
cjackal
opened on Nov 11, 2025

Your current environment

The output of python collect_env.py 
==============================
        System Info
==============================
OS                           : Ubuntu 24.04.3 LTS (x86_64)
GCC version                  : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.39

==============================
       PyTorch Info
==============================
PyTorch version              : 2.9.0+cu129
Is debug build               : False
CUDA used to build PyTorch   : 12.9
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.3 (main, Aug 14 2025, 17:47:21) [GCC 13.3.0] (64-bit runtime)
Python platform              : Linux-5.14.0-284.118.1.el9_2.x86_64-x86_64-with-glibc2.39

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 12.9.86
CUDA_MODULE_LOADING set to   :
GPU models and configuration :
GPU 0: NVIDIA H100 80GB HBM3
GPU 1: NVIDIA H100 80GB HBM3
GPU 2: NVIDIA H100 80GB HBM3
GPU 3: NVIDIA H100 80GB HBM3
GPU 4: NVIDIA H100 80GB HBM3
GPU 5: NVIDIA H100 80GB HBM3
GPU 6: NVIDIA H100 80GB HBM3
GPU 7: NVIDIA H100 80GB HBM3

Nvidia driver version        : 570.148.08
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:                        52 bits physical, 57 bits virtual
Byte Order:                           Little Endian
CPU(s):                               64
On-line CPU(s) list:                  0-63
Vendor ID:                            GenuineIntel
Model name:                           Intel(R) Xeon(R) Gold 6430
CPU family:                           6
Model:                                143
Thread(s) per core:                   1
Core(s) per socket:                   32
Socket(s):                            2
Stepping:                             8
CPU(s) scaling MHz:                   76%
CPU max MHz:                          3400.0000
CPU min MHz:                          800.0000
BogoMIPS:                             4200.00
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 ds_cpl smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr ibt amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
L1d cache:                            3 MiB (64 instances)
L1i cache:                            2 MiB (64 instances)
L2 cache:                             128 MiB (64 instances)
L3 cache:                             120 MiB (2 instances)
NUMA node(s):                         8
NUMA node0 CPU(s):                    0-7
NUMA node1 CPU(s):                    8-15
NUMA node2 CPU(s):                    16-23
NUMA node3 CPU(s):                    24-31
NUMA node4 CPU(s):                    32-39
NUMA node5 CPU(s):                    40-47
NUMA node6 CPU(s):                    48-55
NUMA node7 CPU(s):                    56-63
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:        Not affected
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
Vulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:             Mitigation; Enhanced IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.5.2
[pip3] mypy-extensions==1.0.0
[pip3] numpy==2.2.0
[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-cudnn-frontend==1.16.0
[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-cutlass-dsl==4.2.1
[pip3] nvidia-ml-py==13.580.82
[pip3] nvidia-nccl-cu12==2.27.5
[pip3] nvidia-nvjitlink-cu12==12.9.86
[pip3] nvidia-nvshmem-cu12==3.3.20
[pip3] nvidia-nvtx-cu12==12.9.79
[pip3] pyzmq==27.1.0
[pip3] torch==2.9.0+cu129
[pip3] torchaudio==2.9.0+cu129
[pip3] torchvision==0.24.0+cu129
[pip3] transformers==4.57.1
[pip3] triton==3.5.0
[pip3] triton_kernels==0.1.1
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.11.1rc7.dev20+g9973e6e04 (git sha: 9973e6e04)
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
         [4mGPU0        GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    NIC1    NIC2    NIC3    NIC4    CPU Affinity    NUMA Affinity   GPU NUMA ID [0m
GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18    PIX     SYS     SYS     SYS     SYS     0-7     0               N/A
GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18    PXB     SYS     SYS     SYS     SYS     0-7     0               N/A
GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18    SYS     PXB     NODE    SYS     SYS     16-23   2               N/A
GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18    SYS     PIX     NODE    SYS     SYS     16-23   2               N/A
GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18    SYS     SYS     SYS     PXB     SYS     32-39   4               N/A
GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18    SYS     SYS     SYS     PIX     SYS     32-39   4               N/A
GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18    SYS     SYS     SYS     SYS     PXB     48-55   6               N/A
GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X      SYS     SYS     SYS     SYS     PIX     48-55   6               N/A
NIC0    PIX     PXB     SYS     SYS     SYS     SYS     SYS     SYS      X      SYS     SYS     SYS     SYS                             
NIC1    SYS     SYS     PXB     PIX     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS                             
NIC2    SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS                             
NIC3    SYS     SYS     SYS     SYS     PXB     PIX     SYS     SYS     SYS     SYS     SYS      X      SYS                             
NIC4    SYS     SYS     SYS     SYS     SYS     SYS     PXB     PIX     SYS     SYS     SYS     SYS      X                             

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

NIC Legend:

  NIC0: mlx5_0
  NIC1: mlx5_1
  NIC2: mlx5_2
  NIC3: mlx5_3
  NIC4: mlx5_4

==============================
     Environment Variables
==============================
NVIDIA_GDRCOPY=enabled
LD_LIBRARY_PATH=/usr/local/lib/python3.12/dist-packages/nvidia/nvshmem/lib:/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu:/usr/lib
NVIDIA_VISIBLE_DEVICES=/var/run/nvidia-container-devices
NCCL_IB_HCA=mlx5
VLLM_MOE_USE_DEEP_GEMM=0
VLLM_LOGGING_LEVEL=INFO
VLLM_FLAT_LOGPROBS=1
VLLM_ALLREDUCE_USE_SYMM_MEM=1
VLLM_USE_FLASHINFER_SAMPLER=1
VLLM_NO_USAGE_STATS=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_root
VLLM_WORKER_MULTIPROC_METHOD=spawn

🐛 Describe the bug

  • Minimal reproducer: The model server is launched with full DCP and a single near-context-limit input (over 120k) is processed. (almost 100% reproducible on my machine)
  • vLLM version: v0.11.1rc7.dev20+g9973e6e04
  • Hardware: H100 x 8 x 2 nodes (over IB networking)
  • Model checkpoint: deepseek-ai/DeepSeek-V3
  • Attention Backend: FlashMLA
  • Launch command: VLLM_MOE_DEEP_GEMM=0 vllm serve /mnt/models --served-model-name deepseek-ai/DeepSeek-V3 -tp 16 -dcp 16 --enable-expert-parallel --all2all-backend deepep_low_latency --distributed-executor-backend ray --async-scheduling --max-model-len 128K --max-num-batched-tokens 16K --max-num-seqs 32

Error traceback

[1;36m(APIServer pid=1554) [0;0m INFO:     172.16.33.39:51958 - "GET /metrics HTTP/1.1" 200 OK
[1;36m(APIServer pid=1554) [0;0m INFO:     172.16.33.39:51958 - "GET /metrics HTTP/1.1" 200 OK
[1;36m(APIServer pid=1554) [0;0m INFO:     172.16.93.20:37418 - "GET /health HTTP/1.1" 200 OK
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:12 [logger.py:37] Request cmpl-2f596feab8044210b24f979c15ed186d-0 details: prompt: '안녕?', prompt_token_ids: [0, 31404, 11939, 246, 33], prompt_embeds shape: None.
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:12 [logger.py:47] Received request cmpl-2f596feab8044210b24f979c15ed186d-0: params: SamplingParams(n=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.6, top_p=0.95, top_k=0, min_p=0.0, seed=None, stop=[], stop_token_ids=[], bad_words=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=5, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None, structured_outputs=None, extra_args=None), lora_request: None.
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:12 [async_llm.py:343] Added request cmpl-2f596feab8044210b24f979c15ed186d-0.
[1;36m(APIServer pid=1554) [0;0m INFO:     127.0.0.1:35728 - "POST /v1/completions HTTP/1.1" 200 OK
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:14 [loggers.py:221] Engine 000: Avg prompt throughput: 1.0 tokens/s, Avg generation throughput: 1.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0%
[1;36m(APIServer pid=1554) [0;0m INFO:     172.16.33.39:51958 - "GET /metrics HTTP/1.1" 200 OK
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:16 [logger.py:37] Request chatcmpl-2085e3182f394a2a8554f00028f4143d details: prompt: '\n<｜begin▁of▁sentence｜>You are a helpful assistant.<｜User｜>JSON data:\n{"203c8d7a-22ef-47d6-a453-63141a73bdc3": "0ff12ff1-508e-4b1b-a252-412e64d36bf3", ..., "e24301db-d210-4abf-88e7-7301223bfcac": "c6e22ba7-775c-4b53-a811-50ea7c7751d2", "ee2790ec-ded8-421d-b7e8-bd963ee7ff34": "04bc055a-8a47-4bd8-8eb6-304df99df5fa", "04b15c99-70fd-479a-9f64-8e77d4f1423e": "9b2d546b-022c-400a-aa64-50d110571e59"}\nQ: \nKey: "e8fa7242-5c2e-46f9-ad70-1d4aaf037243"\nThe value associated with the specified key is: <｜Assistant｜>', prompt_token_ids: None, prompt_embeds shape: None.
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:16 [logger.py:47] Received request chatcmpl-2085e3182f394a2a8554f00028f4143d: params: SamplingParams(n=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.6, top_p=0.95, top_k=0, min_p=0.0, seed=None, stop=[], stop_token_ids=[], bad_words=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=7760, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None, structured_outputs=None, extra_args=None), lora_request: None.
[1;36m(APIServer pid=1554) [0;0m INFO:     127.0.0.1:35732 - "POST /v1/chat/completions HTTP/1.1" 200 OK
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:16 [async_llm.py:343] Added request chatcmpl-2085e3182f394a2a8554f00028f4143d.
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:19 [loggers.py:221] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.2%, Prefix cache hit rate: 0.0%
[1;36m(APIServer pid=1554) [0;0m INFO:     172.16.33.39:51958 - "GET /metrics HTTP/1.1" 200 OK
[1;36m(APIServer pid=1554) [0;0m INFO:     172.16.33.39:51958 - "GET /metrics HTTP/1.1" 200 OK
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [dump_input.py:72] Dumping input data for V1 LLM engine (v0.11.1rc7.dev20+g9973e6e04) with config: model='/mnt/models', speculative_config=None, tokenizer='/mnt/models', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=131072, download_dir=None, load_format=auto, tensor_parallel_size=16, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=fp8, 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='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint='grpc://localhost:4317', collect_detailed_traces=None), seed=0, served_model_name=deepseek-ai/DeepSeek-V3, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={'level': None, 'mode': 3, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none', '+quant_fp8', '+quant_fp8'], 'splitting_ops': ['vllm::unified_attention', 'vllm::unified_attention_with_output', 'vllm::unified_mla_attention', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::kda_attention', 'vllm::sparse_attn_indexer'], 'compile_mm_encoder': True, 'use_inductor': None, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.PIECEWISE: 1>, 'use_cudagraph': True, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes':[1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64], 'cudagraph_copy_inputs': False, 'full_cuda_graph': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_cudagraph_capture_size': 64, 'local_cache_dir': None},
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [dump_input.py:79] Dumping scheduler output for model execution: SchedulerOutput(scheduled_new_reqs=[], scheduled_cached_reqs=CachedRequestData(req_ids=['chatcmpl-2085e3182f394a2a8554f00028f4143d'], resumed_req_ids=[], new_token_ids=[], all_token_ids={}, new_block_ids=[[[241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256]]], num_computed_tokens=[81920], num_output_tokens=[0]), num_scheduled_tokens={chatcmpl-2085e3182f394a2a8554f00028f4143d: 16384}, total_num_scheduled_tokens=16384, scheduled_spec_decode_tokens={}, scheduled_encoder_inputs={}, num_common_prefix_blocks=[96], finished_req_ids=[], free_encoder_mm_hashes=[], pending_structured_output_tokens=false, kv_connector_metadata=null)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [dump_input.py:81] Dumping scheduler stats: SchedulerStats(num_running_reqs=1, num_waiting_reqs=0, step_counter=0, current_wave=0, kv_cache_usage=0.014667685255920548, prefix_cache_stats=PrefixCacheStats(reset=False, requests=0, queries=0, hits=0, preempted_requests=0, preempted_queries=0, preempted_hits=0), connector_prefix_cache_stats=None, spec_decoding_stats=None, kv_connector_stats=None, waiting_lora_adapters={}, running_lora_adapters={})
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857] EngineCore encountered a fatal error.
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857] Traceback (most recent call last):
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 848, in run_engine_core
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     engine_core.run_busy_loop()
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 875, in run_busy_loop
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     self._process_engine_step()
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 904, in _process_engine_step
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     outputs, model_executed = self.step_fn()
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                               ^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 334, in step
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     model_output = self.model_executor.sample_tokens(grammar_output)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/executor/ray_executor.py", line 434, in sample_tokens
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return refs[0].get()
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/ray/experimental/compiled_dag_ref.py", line 150, in get
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return _process_return_vals(return_vals, True)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/ray/experimental/compiled_dag_ref.py", line 27, in _process_return_vals
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     raise val.as_instanceof_cause()
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857] ray.exceptions.RayTaskError(AssertionError):  [36mray::RayWorkerWrapper.__ray_call__() [39m (pid=2071, ip=172.16.93.47)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/executor/ray_utils.py", line 103, in execute_model_ray
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     output = self.worker.model_runner.execute_model(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/utils/_contextlib.py", line 120, in decorate_context
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return func(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_model_runner.py", line 2653, in execute_model
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     model_output = self._model_forward(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                    ^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_model_runner.py", line 2511, in _model_forward
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return self.model(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return self._call_impl(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1786, in _call_impl
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return forward_call(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 1402, in forward
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     hidden_states = self.model(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                     ^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/compilation/decorators.py", line 477, in __call__
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     model_output = self.forward(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 1242, in forward
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     def forward(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/_dynamo/eval_frame.py", line 1044, in _fn
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return fn(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/compilation/caching.py", line 53, in __call__
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return self.optimized_call(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/fx/graph_module.py", line 837, in call_wrapped
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return self._wrapped_call(self, *args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/fx/graph_module.py", line 413, in __call__
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     raise e
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/fx/graph_module.py", line 400, in __call__
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return self._call_impl(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1786, in _call_impl
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return forward_call(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "<eval_with_key>.139", line 638, in forward
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     submod_1 = self.submod_1(getitem, s72, getitem_1, getitem_2, getitem_3);  getitem = getitem_1 = getitem_2 = submod_1 = None
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/fx/graph_module.py", line 837, in call_wrapped
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return self._wrapped_call(self, *args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/fx/graph_module.py", line 413, in __call__
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     raise e
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/fx/graph_module.py", line 400, in __call__
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return self._call_impl(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1786, in _call_impl
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return forward_call(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "<eval_with_key>.17", line 5, in forward
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     unified_mla_attention_with_output = torch.ops.vllm.unified_mla_attention_with_output(q, x_11, key_rot_1, output_3, 'model.layers.0.self_attn.attn');  q = x_11 = key_rot_1 = output_3 = unified_mla_attention_with_output = None
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/torch/_ops.py", line 1255, in __call__
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     return self._op(*args, **kwargs)
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/attention/layer.py", line 1045, in unified_mla_attention_with_output
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     self.impl.forward(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/attention/backends/mla/common.py", line 1930, in forward
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     output[num_decode_tokens:] = self._forward_prefill(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                                  ^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/attention/backends/mla/common.py", line 1809, in _forward_prefill
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     self._context_parallel_compute_prefill_context(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/attention/backends/mla/common.py", line 1731, in _context_parallel_compute_prefill_context
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     kv_c_normed, k_pe = reorg_kvcache(
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]                         ^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/attention/backends/mla/common.py", line 1045, in reorg_kvcache
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]     assert reorganized_kv_c_normed.shape[0] == sum_seq_len
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(EngineCore_DP0 pid=1880) [0;0m ERROR 11-11 23:20:26 [core.py:857] AssertionError
[1;36m(EngineCore_DP0 pid=1880) [0;0m INFO 11-11 23:20:26 [ray_executor.py:116] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray.
[1;36m(EngineCore_DP0 pid=1880) [0;0m 2025-11-11 23:20:26,093  INFO compiled_dag_node.py:2171 -- Tearing down compiled DAG
[1;36m(APIServer pid=1554) [0;0m ERROR 11-11 23:20:26 [async_llm.py:524] AsyncLLM output_handler failed.
[1;36m(APIServer pid=1554) [0;0m ERROR 11-11 23:20:26 [async_llm.py:524] Traceback (most recent call last):
[1;36m(APIServer pid=1554) [0;0m ERROR 11-11 23:20:26 [async_llm.py:524]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/async_llm.py", line 476, in output_handler
[1;36m(APIServer pid=1554) [0;0m ERROR 11-11 23:20:26 [async_llm.py:524]     outputs = await engine_core.get_output_async()
[1;36m(APIServer pid=1554) [0;0m ERROR 11-11 23:20:26 [async_llm.py:524]               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[1;36m(APIServer pid=1554) [0;0m ERROR 11-11 23:20:26 [async_llm.py:524]   File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core_client.py", line 883, in get_output_async
[1;36m(APIServer pid=1554) [0;0m ERROR 11-11 23:20:26 [async_llm.py:524]     raise self._format_exception(outputs) from None
[1;36m(APIServer pid=1554) [0;0m ERROR 11-11 23:20:26 [async_llm.py:524] vllm.v1.engine.exceptions.EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
[1;36m(APIServer pid=1554) [0;0m INFO 11-11 23:20:26 [async_llm.py:442] Request chatcmpl-2085e3182f394a2a8554f00028f4143d failed (engine dead).

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