[Bug]: Failed to deploy Qwen3-Next-80B with LoRA Adpater on H100 #30026
Description
Your current environment
The output of python collect_env.py
==============================
System Info
==============================
OS : Amazon Linux 2023.9.20251110 (x86_64)
GCC version : (GCC) 11.5.0 20240719 (Red Hat 11.5.0-5)
Clang version : Could not collect
CMake version : version 3.22.2
Libc version : glibc-2.34
==============================
PyTorch Info
==============================
PyTorch version : 2.9.0+cu128
Is debug build : False
CUDA used to build PyTorch : 12.8
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.10.19 (main, Oct 21 2025, 16:43:05) [GCC 11.2.0] (64-bit runtime)
Python platform : Linux-6.1.158-178.288.amzn2023.x86_64-x86_64-with-glibc2.34
==============================
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 : 580.95.05
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: 48 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 192
On-line CPU(s) list: 0-191
Vendor ID: AuthenticAMD
Model name: AMD EPYC 7R13 Processor
CPU family: 25
BogoMIPS: 5300.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf tsc_known_freq pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch topoext perfctr_core invpcid_single ssbd ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 clzero xsaveerptr rdpru wbnoinvd arat npt nrip_save vaes vpclmulqdq rdpid
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 3 MiB (96 instances)
L1i cache: 3 MiB (96 instances)
L2 cache: 48 MiB (96 instances)
L3 cache: 384 MiB (12 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-47,96-143
NUMA node1 CPU(s): 48-95,144-191
Vulnerability Gather data sampling: Not affected
Vulnerability Indirect target selection: 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: Mitigation; safe RET
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; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsa: Mitigation; Clear CPU buffers
Vulnerability Tsx async abort: Not affected
Vulnerability Vmscape: Not affected
==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.5.3
[pip3] numpy==2.2.6
[pip3] nvidia-cublas-cu12==12.8.4.1
[pip3] nvidia-cuda-cupti-cu12==12.8.90
[pip3] nvidia-cuda-nvrtc-cu12==12.8.93
[pip3] nvidia-cuda-runtime-cu12==12.8.90
[pip3] nvidia-cudnn-cu12==9.10.2.21
[pip3] nvidia-cudnn-frontend==1.16.0
[pip3] nvidia-cufft-cu12==11.3.3.83
[pip3] nvidia-cufile-cu12==1.13.1.3
[pip3] nvidia-curand-cu12==10.3.9.90
[pip3] nvidia-cusolver-cu12==11.7.3.90
[pip3] nvidia-cusparse-cu12==12.5.8.93
[pip3] nvidia-cusparselt-cu12==0.7.1
[pip3] nvidia-cutlass-dsl==4.3.1
[pip3] nvidia-ml-py==13.580.82
[pip3] nvidia-nccl-cu12==2.27.5
[pip3] nvidia-nvjitlink-cu12==12.8.93
[pip3] nvidia-nvshmem-cu12==3.3.20
[pip3] nvidia-nvtx-cu12==12.8.90
[pip3] pyzmq==27.1.0
[pip3] torch==2.9.0
[pip3] torchaudio==2.9.0
[pip3] torchvision==0.24.0
[pip3] transformers==4.57.1
[pip3] triton==3.5.0
[conda] flashinfer-python 0.5.3 pypi_0 pypi
[conda] numpy 2.2.6 pypi_0 pypi
[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi
[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi
[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi
[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi
[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi
[conda] nvidia-cudnn-frontend 1.16.0 pypi_0 pypi
[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi
[conda] nvidia-cufile-cu12 1.13.1.3 pypi_0 pypi
[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi
[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi
[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi
[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi
[conda] nvidia-cutlass-dsl 4.3.1 pypi_0 pypi
[conda] nvidia-ml-py 13.580.82 pypi_0 pypi
[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi
[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi
[conda] nvidia-nvshmem-cu12 3.3.20 pypi_0 pypi
[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi
[conda] pyzmq 27.1.0 pypi_0 pypi
[conda] torch 2.9.0 pypi_0 pypi
[conda] torchaudio 2.9.0 pypi_0 pypi
[conda] torchvision 0.24.0 pypi_0 pypi
[conda] transformers 4.57.1 pypi_0 pypi
[conda] triton 3.5.0 pypi_0 pypi
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.12.0
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 0-47,96-143 0 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 0-47,96-143 0 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 0-47,96-143 0 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 0-47,96-143 0 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 48-95,144-191 1 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 48-95,144-191 1 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 48-95,144-191 1 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X 48-95,144-191 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
==============================
LD_LIBRARY_PATH=/usr/local/cuda/lib:/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/targets/x86_64-linux/lib:/opt/amazon/openmpi/lib64:/opt/amazon/efa/lib64:/opt/amazon/ofi-nccl/lib64:/usr/local/lib:/usr/lib:/lib:/usr/local/cuda/lib:/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/targets/x86_64-linux/lib:/opt/amazon/openmpi/lib64:/opt/amazon/efa/lib64:/opt/amazon/ofi-nccl/lib64:/usr/local/lib:/usr/lib:/lib
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
🐛 Describe the bug
Code to reproduce the problem:
vllm serve Qwen/Qwen3-Next-80B-A3B-Instruct --served-model-name Qwen3-Next-80B-A3B-Instruct --port 8801 --tensor-parallel-size 8 --max-model-len 6400 --gpu-memory-utilization 0.9 --max-num-seqs 4 --enable-lora --lora-modules sql-lora=/path/to/mylora --tool-call-parser hermes --enable-auto-tool-choice
The error message I got:
(Worker_TP5 pid=116613) Exception ignored in: <function ExactWeakKeyDictionary.__setitem__.<locals>.<lambda> at 0x7f7a0ce67a30>
(Worker_TP5 pid=116613) Traceback (most recent call last):
(Worker_TP5 pid=116613) File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 988, in <lambda>
(Worker_TP5 pid=116613) self.refs[idx] = weakref.ref(key, lambda ref: self._remove_id(idx))
(Worker_TP5 pid=116613) File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/v1/executor/multiproc_executor.py", line 689, in signal_handler
(Worker_TP5 pid=116613) raise SystemExit()
(Worker_TP5 pid=116613) SystemExit:
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] WorkerProc hit an exception.
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] Traceback (most recent call last):
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/v1/executor/multiproc_executor.py", line 817, in worker_busy_loop
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] output = func(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return func(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/v1/worker/gpu_worker.py", line 324, in determine_available_memory
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] self.model_runner.profile_run()
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/v1/worker/gpu_model_runner.py", line 4357, in profile_run
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] hidden_states, last_hidden_states = self._dummy_run(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return func(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/v1/worker/gpu_model_runner.py", line 4071, in _dummy_run
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] outputs = self.model(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/compilation/cuda_graph.py", line 126, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self.runnable(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self._call_impl(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return forward_call(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/model_executor/models/qwen3_next.py", line 1226, in forward
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] hidden_states = self.model(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/compilation/decorators.py", line 514, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] output = TorchCompileWithNoGuardsWrapper.__call__(self, *args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/compilation/wrapper.py", line 171, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self._compiled_callable(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 832, in compile_wrapper
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return fn(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/model_executor/models/qwen3_next.py", line 999, in forward
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] def forward(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1044, in _fn
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return fn(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/compilation/caching.py", line 54, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self.optimized_call(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self._wrapped_call(self, *args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/fx/graph_module.py", line 413, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] raise e
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc]
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self._call_impl(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return forward_call(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "<eval_with_key>.98", line 625, in forward
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] submod_2 = self.submod_2(getitem_4, s72, getitem_3, l_self_modules_layers_modules_0_modules_linear_attn_modules_norm_parameters_weight_, l_self_modules_layers_modules_0_modules_linear_attn_modules_out_proj_modules_base_layer_parameters_weight_, l_self_modules_layers_modules_0_modules_linear_attn_modules_in_proj_qkvz_punica_wrapper_token_mapping_meta_token_lora_mapping, l_self_modules_layers_modules_0_modules_linear_attn_modules_in_proj_qkvz_punica_wrapper_token_mapping_meta_token_indices_sorted_by_lora_ids, l_self_modules_layers_modules_0_modules_linear_attn_modules_out_proj_lora_a_stacked_0_, l_self_modules_layers_modules_0_modules_linear_attn_modules_in_proj_qkvz_punica_wrapper_token_mapping_meta_num_tokens_per_lora, l_self_modules_layers_modules_0_modules_linear_attn_modules_in_proj_qkvz_punica_wrapper_token_mapping_meta_lora_token_start_loc, l_self_modules_layers_modules_0_modules_linear_attn_modules_in_proj_qkvz_punica_wrapper_token_mapping_meta_active_lora_ids, l_self_modules_layers_modules_0_modules_linear_attn_modules_in_proj_qkvz_punica_wrapper_token_mapping_meta_no_lora_flag_cpu, l_self_modules_layers_modules_0_modules_linear_attn_modules_out_proj_lora_b_stacked_0_, getitem_5, l_self_modules_layers_modules_0_modules_post_attention_layernorm_parameters_weight_, getitem_6, l_self_modules_layers_modules_1_modules_input_layernorm_parameters_weight_, l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_qkvz_modules_base_layer_parameters_weight_, l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_qkvz_lora_a_stacked_0_, l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_qkvz_lora_b_stacked_0_, l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_ba_modules_base_layer_parameters_weight_, l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_ba_lora_a_stacked_0_, l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_ba_lora_b_stacked_0_); getitem_4 = getitem_3 = l_self_modules_layers_modules_0_modules_linear_attn_modules_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_linear_attn_modules_out_proj_modules_base_layer_parameters_weight_ = l_self_modules_layers_modules_0_modules_linear_attn_modules_out_proj_lora_a_stacked_0_ = l_self_modules_layers_modules_0_modules_linear_attn_modules_out_proj_lora_b_stacked_0_ = getitem_5 = l_self_modules_layers_modules_0_modules_post_attention_layernorm_parameters_weight_ = getitem_6 = l_self_modules_layers_modules_1_modules_input_layernorm_parameters_weight_ = l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_qkvz_modules_base_layer_parameters_weight_ = l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_qkvz_lora_a_stacked_0_ = l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_qkvz_lora_b_stacked_0_ = l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_ba_modules_base_layer_parameters_weight_ = l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_ba_lora_a_stacked_0_ = l_self_modules_layers_modules_1_modules_linear_attn_modules_in_proj_ba_lora_b_stacked_0_ = None
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/compilation/cuda_graph.py", line 126, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self.runnable(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/compilation/piecewise_backend.py", line 93, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self.compiled_graph_for_general_shape(*args)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 63, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self._compiled_fn(*args)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1044, in _fn
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return fn(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1130, in forward
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return compiled_fn(full_args)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 353, in runtime_wrapper
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] all_outs = call_func_at_runtime_with_args(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/utils.py", line 129, in call_func_at_runtime_with_args
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] out = normalize_as_list(f(args))
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 724, in inner_fn
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] outs = compiled_fn(args)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 526, in wrapper
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return compiled_fn(runtime_args)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_inductor/output_code.py", line 613, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self.current_callable(inputs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2962, in run
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] out = model(new_inputs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/tmp/torchinductor_ec2-user/do/cdoiit2cy4jrkx3gfahekjzvxkxtlxm2ob5bmntvubln7ayez35b.py", line 1377, in call
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] buf14 = torch.ops.vllm.moe_forward_shared.default(buf12, buf13, 'model.layers.0.mlp.experts')
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_ops.py", line 841, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self._op(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/model_executor/layers/fused_moe/layer.py", line 2129, in moe_forward_shared
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self.forward_impl(hidden_states, router_logits)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/model_executor/layers/fused_moe/layer.py", line 1960, in forward_impl
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] final_hidden_states = self.quant_method.apply(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/model_executor/layers/fused_moe/fused_moe_modular_method.py", line 117, in apply
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] result = self.fused_experts(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self._call_impl(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return forward_call(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/lora/layers/fused_moe.py", line 153, in wrapper
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] result = func(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/model_executor/layers/fused_moe/modular_kernel.py", line 1307, in forward
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] fused_out = self._fused_experts(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/model_executor/layers/fused_moe/modular_kernel.py", line 1124, in _fused_experts
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] self.fused_experts.apply(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/model_executor/layers/fused_moe/fused_moe.py", line 2120, in apply
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] self.activation(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/lora/layers/fused_moe.py", line 194, in wrapper
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] ) = self.punica_wrapper.moe_lora_align_block_size(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/lora/punica_wrapper/punica_gpu.py", line 340, in moe_lora_align_block_size
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] ops.moe_lora_align_block_size(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/vllm/_custom_ops.py", line 1923, in moe_lora_align_block_size
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] torch.ops._moe_C.moe_lora_align_block_size(
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] File "/home/ec2-user/miniconda3/envs/vllm/lib/python3.10/site-packages/torch/_ops.py", line 1255, in __call__
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] return self._op(*args, **kwargs)
(Worker_TP5 pid=116613) ERROR 12-04 04:49:03 [multiproc_executor.py:822] RuntimeError: Shared memory usage exceeds device limit, and global memory fallback is not implemented yet.
I can successfully deploy Qwen3-Next if LoRA Adpater is disabled
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