[Bug]: Deepseek V2 coder 236B awq error!

[tohnee]

Your current environment

Collecting environment information...
WARNING 11-12 05:39:35 _custom_ops.py:19] Failed to import from vllm._C with ModuleNotFoundError("No module named 'vllm._C'")
Warning: Your installation of OpenCV appears to be broken: module 'cv2.dnn' has no attribute 'DictValue'.Please follow the instructions at opencv/opencv-python#884 to correct your environment. The import of cv2 has been skipped.
PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 10.5.0-1ubuntu1~20.04) 10.5.0
Clang version: Could not collect
CMake version: version 3.30.4
Libc version: glibc-2.35

Python version: 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-5.4.0-144-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.6.77
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA A40
GPU 1: NVIDIA A40
GPU 2: NVIDIA A40
GPU 3: NVIDIA A40
GPU 4: NVIDIA A40
GPU 5: NVIDIA A40
GPU 6: NVIDIA A40
GPU 7: NVIDIA A40

Nvidia driver version: 550.54.14
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.9.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.5.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.5.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 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 8358 CPU @ 2.60GHz
CPU family: 6
Model: 106
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 2
Stepping: 6
Frequency boost: enabled
CPU max MHz: 2601.0000
CPU min MHz: 800.0000
BogoMIPS: 5200.00
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 pni pclmulqdq dtes64 monitor ds_cpl vmx 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 invpcid_single ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad 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 wbnoinvd dtherm ida arat pln pts avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq rdpid md_clear pconfig flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 3 MiB (64 instances)
L1i cache: 2 MiB (64 instances)
L2 cache: 80 MiB (64 instances)
L3 cache: 96 MiB (2 instances)
NUMA node(s): 4
NUMA node0 CPU(s): 0-15,64-79
NUMA node1 CPU(s): 16-31,80-95
NUMA node2 CPU(s): 32-47,96-111
NUMA node3 CPU(s): 48-63,112-127
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Retbleed: 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 IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] mypy==1.11.1
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.1.3.1
[pip3] nvidia-cuda-cupti-cu12==12.1.105
[pip3] nvidia-cuda-nvrtc-cu12==12.1.105
[pip3] nvidia-cuda-runtime-cu12==12.1.105
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cudnn-frontend==1.7.0
[pip3] nvidia-cufft-cu12==11.0.2.54
[pip3] nvidia-curand-cu12==10.3.2.106
[pip3] nvidia-cusolver-cu12==11.4.5.107
[pip3] nvidia-cusparse-cu12==12.1.0.106
[pip3] nvidia-dali-cuda120==1.42.0
[pip3] nvidia-ml-py==12.560.30
[pip3] nvidia-modelopt==0.17.0
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] nvidia-nvimgcodec-cu12==0.3.0.5
[pip3] nvidia-nvjitlink-cu12==12.6.77
[pip3] nvidia-nvtx-cu12==12.1.105
[pip3] nvidia-pyindex==1.0.9
[pip3] onnx==1.16.2
[pip3] optree==0.13.0
[pip3] pytorch-triton==3.0.0+dedb7bdf3
[pip3] pyzmq==26.2.0
[pip3] sentence-transformers==3.2.1
[pip3] torch==2.4.0
[pip3] torch_tensorrt==2.5.0a0
[pip3] torchprofile==0.0.4
[pip3] torchvision==0.19.0
[pip3] transformers==4.46.1
[pip3] transformers-stream-generator==0.0.5
[pip3] triton==3.0.0
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.6.3.post1
vLLM Build Flags:
CUDA Archs: 5.2 6.0 6.1 7.0 7.2 7.5 8.0 8.6 8.7 9.0+PTX; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV4 PIX PIX SYS SYS SYS SYS PIX PIX SYS SYS 0-15,64-79 0 N/A
GPU1 NV4 X PIX PIX SYS SYS SYS SYS PIX PIX SYS SYS 0-15,64-79 0 N/A
GPU2 PIX PIX X NV4 SYS SYS SYS SYS PIX PIX SYS SYS 0-15,64-79 0 N/A
GPU3 PIX PIX NV4 X SYS SYS SYS SYS PIX PIX SYS SYS 0-15,64-79 0 N/A
GPU4 SYS SYS SYS SYS X NV4 PIX PIX SYS SYS PIX PIX 32-47,96-111 2 N/A
GPU5 SYS SYS SYS SYS NV4 X PIX PIX SYS SYS PIX PIX 32-47,96-111 2 N/A
GPU6 SYS SYS SYS SYS PIX PIX X NV4 SYS SYS PIX PIX 32-47,96-111 2 N/A
GPU7 SYS SYS SYS SYS PIX PIX NV4 X SYS SYS PIX PIX 32-47,96-111 2 N/A
NIC0 PIX PIX PIX PIX SYS SYS SYS SYS X PIX SYS SYS
NIC1 PIX PIX PIX PIX SYS SYS SYS SYS PIX X SYS SYS
NIC2 SYS SYS SYS SYS PIX PIX PIX PIX SYS SYS X PIX
NIC3 SYS SYS SYS SYS PIX PIX PIX PIX SYS SYS PIX 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

Model Input Dumps

No response

🐛 Describe the bug

• i get the model from https://huggingface.co/casperhansen/deepseek-coder-v2-instruct-awq/tree/main,

• i install vllm v0.6.3.post1

• i run the command on NVIDIA-A40 GPUS like: CUDA_VISIBLE_DEVICES=4,5,6,7 python -m vllm.entrypoints.openai.api_server --model /vllm-server/datasets/deepseek-coder-v2-instruct-awq/ -tp 4 --trust-remote-code

• the error like:
  (VllmWorkerProcess pid=8134) ERROR 11-12 05:47:00 _custom_ops.py:62] Error in calling custom op awq_marlin_repack: '_OpNamespace' '_C' object has no attribute 'awq_marlin_repack'
  (VllmWorkerProcess pid=8134) ERROR 11-12 05:47:00 _custom_ops.py:62] Possibly you have built or installed an obsolete version of vllm.
  (VllmWorkerProcess pid=8134) ERROR 11-12 05:47:00 _custom_ops.py:62] Please try a clean build and install of vllm,or remove old built files such as vllm/cpython.so and build/ .
  ERROR 11-12 05:47:00 _custom_ops.py:62] Error in calling custom op awq_marlin_repack: '_OpNamespace' '_C' object has no attribute 'awq_marlin_repack'
  ERROR 11-12 05:47:00 _custom_ops.py:62] Possibly you have built or installed an obsolete version of vllm.
  ERROR 11-12 05:47:00 _custom_ops.py:62] Please try a clean build and install of vllm,or remove old built files such as vllm/cpython.so and build/ .
  (VllmWorkerProcess pid=8134) INFO 11-12 05:47:00 multiproc_worker_utils.py:240] Worker exiting
  INFO 11-12 05:47:00 multiproc_worker_utils.py:120] Killing local vLLM worker processes
  Process SpawnProcess-1:
  Traceback (most recent call last):
  File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
  self.run()
  File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
  self._target(*self._args, **self._kwargs)
  File "/workspace/vllm/vllm/engine/multiprocessing/engine.py", line 390, in run_mp_engine
  engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
  File "/workspace/vllm/vllm/engine/multiprocessing/engine.py", line 139, in from_engine_args
  return cls(
  File "/workspace/vllm/vllm/engine/multiprocessing/engine.py", line 78, in init
  self.engine = LLMEngine(*args, **kwargs)
  File "/workspace/vllm/vllm/engine/llm_engine.py", line 334, in init
  self.model_executor = executor_class(
  File "/workspace/vllm/vllm/executor/distributed_gpu_executor.py", line 26, in init
  super().init(*args, **kwargs)
  File "/workspace/vllm/vllm/executor/executor_base.py", line 47, in init
  self._init_executor()
  File "/workspace/vllm/vllm/executor/multiproc_gpu_executor.py", line 111, in _init_executor
  self._run_workers("load_model",
  File "/workspace/vllm/vllm/executor/multiproc_gpu_executor.py", line 192, in _run_workers
  driver_worker_output = driver_worker_method(*args, **kwargs)
  File "/workspace/vllm/vllm/worker/worker.py", line 183, in load_model
  self.model_runner.load_model()
  File "/workspace/vllm/vllm/worker/model_runner.py", line 1058, in load_model
  self.model = get_model(model_config=self.model_config,
  File "/workspace/vllm/vllm/model_executor/model_loader/init.py", line 19, in get_model
  return loader.load_model(model_config=model_config,
  File "/workspace/vllm/vllm/model_executor/model_loader/loader.py", line 413, in load_model
  quant_method.process_weights_after_loading(module)
  File "/workspace/vllm/vllm/model_executor/layers/quantization/awq_marlin.py", line 242, in process_weights_after_loading
  marlin_qweight = ops.awq_marlin_repack(
  File "/workspace/vllm/vllm/_custom_ops.py", line 63, in wrapper
  raise e
  File "/workspace/vllm/vllm/_custom_ops.py", line 45, in wrapper
  return fn(*args, **kwargs)
  File "/workspace/vllm/vllm/_custom_ops.py", line 568, in awq_marlin_repack
  return torch.ops._C.awq_marlin_repack(b_q_weight, size_k, size_n, num_bits)
  File "/usr/local/lib/python3.10/dist-packages/torch/_ops.py", line 1170, in getattr
  raise AttributeError(
  AttributeError: '_OpNamespace' '_C' object has no attribute 'awq_marlin_repack'
  DEBUG 11-12 05:47:08 client.py:224] Shutting down MQLLMEngineClient output handler.
  Traceback (most recent call last):
  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
  return _run_code(code, main_globals, None,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
  exec(code, run_globals)
  File "/workspace/vllm/vllm/entrypoints/openai/api_server.py", line 585, in
  uvloop.run(run_server(args))
  File "/usr/local/lib/python3.10/dist-packages/uvloop/init.py", line 82, in run
  return loop.run_until_complete(wrapper())
  File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
  File "/usr/local/lib/python3.10/dist-packages/uvloop/init.py", line 61, in wrapper
  return await main
  File "/workspace/vllm/vllm/entrypoints/openai/api_server.py", line 552, in run_server
  async with build_async_engine_client(args) as engine_client:
  File "/usr/lib/python3.10/contextlib.py", line 199, in aenter
  return await anext(self.gen)
  File "/workspace/vllm/vllm/entrypoints/openai/api_server.py", line 107, in build_async_engine_client
  async with build_async_engine_client_from_engine_args(
  File "/usr/lib/python3.10/contextlib.py", line 199, in aenter
  return await anext(self.gen)
  File "/workspace/vllm/vllm/entrypoints/openai/api_server.py", line 194, in build_async_engine_client_from_engine_args
  raise RuntimeError(
  RuntimeError: Engine process failed to start
  root@s0pgpuap12:/workspace/vllm# /usr/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '

Before submitting a new issue...

• Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions.

[DarkLight1337]

How did you install vLLM? You might have to perform a full rebuild to ensure you are using the latest kernels.

[tohnee]

How did you install vLLM? You might have to perform a full rebuild to ensure you are using the latest kernels.

just like this:
To build vLLM using an existing PyTorch installation:

git clone https://github.com/vllm-project/vllm.git
cd vllm
python use_existing_torch.py
pip install -r requirements-build.txt
pip install -e . --no-build-isolation

[DarkLight1337]

cc @dtrifiro

[dtrifiro]

@tohnee Can you show the logs for the last pip install command?

Also, you might want to try this branch here for an easier install process for python-only development: #9621