[Bug]: from vllm._C import ops got undefined symbol gptq_to_marlin

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Your current environment

Collecting environment information...
PyTorch version: 2.1.2+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.29.2
Libc version: glibc-2.35

Python version: 3.9.19 | packaged by conda-forge | (main, Mar 20 2024, 12:50:21)  [GCC 12.3.0] (64-bit runtime)
Python platform: Linux-5.15.0-100-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: Tesla V100-PCIE-32GB
GPU 1: Tesla V100-PCIE-32GB
GPU 2: Tesla V100-PCIE-32GB
GPU 3: Tesla V100-PCIE-32GB

Nvidia driver version: 535.161.07
cuDNN version: Could not collect
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, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             56
On-line CPU(s) list:                0-55
Vendor ID:                          GenuineIntel
Model name:                         Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz
CPU family:                         6
Model:                              79
Thread(s) per core:                 2
Core(s) per socket:                 14
Socket(s):                          2
Stepping:                           1
CPU max MHz:                        3300.0000
CPU min MHz:                        1200.0000
BogoMIPS:                           4800.28
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 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 cdp_l3 invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d
Virtualization:                     VT-x
L1d cache:                          896 KiB (28 instances)
L1i cache:                          896 KiB (28 instances)
L2 cache:                           7 MiB (28 instances)
L3 cache:                           70 MiB (2 instances)
NUMA node(s):                       2
NUMA node0 CPU(s):                  0-13,28-41
NUMA node1 CPU(s):                  14-27,42-55
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit:        KVM: Mitigation: VMX disabled
Vulnerability L1tf:                 Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
Vulnerability Mds:                  Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Meltdown:             Mitigation; PTI
Vulnerability Mmio stale data:      Mitigation; Clear CPU buffers; SMT vulnerable
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; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Mitigation; Clear CPU buffers; SMT vulnerable

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] torch==2.1.2
[pip3] triton==2.1.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] torch                     2.1.2                    pypi_0    pypi
[conda] triton                    2.1.0                    pypi_0    pypiROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.3.3
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0    GPU1    GPU2    GPU3    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      PIX     PHB     PHB     0-13,28-41      0               N/A
GPU1    PIX      X      PHB     PHB     0-13,28-41      0               N/A
GPU2    PHB     PHB      X      PIX     0-13,28-41      0               N/A
GPU3    PHB     PHB     PIX      X      0-13,28-41      0               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

🐛 Describe the bug

import ops cause undefined symbol error.
I'm trying to install vllm-gptq from source to support some gguf file, I create a fresh conda env with 3.9 and install cuda_tookit 12.1.1

mamba create --name vllm_gguf python=3.9
mamba activate vllm_gguf

after clone vllm-gptq project and build with pip install -e ., anything related to import ops cause error

(vllm_gguf) vllm-gptq$ python
Python 3.9.19 | packaged by conda-forge | (main, Mar 20 2024, 12:50:21)
[GCC 12.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import vllm
>>> vllm.__version__
'0.3.3'
>>> from vllm._C import ops
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: /DaTa/dl/src/vllm-gptq/vllm/_C.cpython-39-x86_64-linux-gnu.so: undefined symbol: _ZN4vllm6marlin14gptq_to_marlinEPjS1_Piii
>>>

I also try with python 3.11, get the same error.
I'm try with vllm upstream from source, it's ok, so it's not a upstream bug.

~$ python
Python 3.11.8 | packaged by conda-forge | (main, Feb 16 2024, 20:53:32) [GCC 12.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import vllm
>>> vllm.__version__
'0.4.0.post1'
>>> from vllm._C import ops
>>>