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I‘m trying to build a vllm wheel in a CPU container that has CUDA libs installed. However, there is a link error:
[5/265] Linking CXX shared module cumem_allocator.abi3.so
FAILED: cumem_allocator.abi3.so
: && ccache /usr/local/bin/c++ -fPIC -O3 -DNDEBUG -shared -o cumem_allocator.abi3.so CMakeFiles/cumem_allocator.dir/csrc/cumem_allocator.cpp.o -L/lib/intel64 -L/lib/intel64_win -L/lib/win-x64 -Wl,-rpath,/lib/intel64:/lib/intel64_win:/lib/win-x64:/opt/conda/lib/python3.10/site-packages/torch/lib:/usr/local/cuda/lib64: -lcuda /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /usr/local/cuda/lib64/libnvrtc.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so -Wl,--no-as-needed,"/opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so" -Wl,--as-needed -Wl,--no-as-needed,"/opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so" -Wl,--as-needed /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /usr/local/cuda/lib64/libcudart.so -Wl,--no-as-needed,"/opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so" -Wl,--as-needed /usr/local/cuda/lib64/libnvToolsExt.so && :
/usr/bin/ld: cannot find -lcuda
collect2: error: ld returned 1 exit status
I won't find the same error in a GPU container. It looks like that the build system could not find -lcuda correctly in the CPU container.
+ python collect_env.py
/codebuild/workspace/code-repo/vllm/connections.py:8: RuntimeWarning: Failed to read commit hash:
No module named 'vllm._version'
from vllm.version import __version__ as VLLM_VERSION
Collecting environment information...
PyTorch version: 2.5.1+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A
OS: Alibaba Group Enterprise Linux Server 7.2 (Paladin) (x86_64)
GCC version: (GCC) 10.2.1 20200825 (Alibaba 10.2.1-3 2.17)
Clang version: Could not collect
CMake version: version 3.31.4
Libc version: glibc-2.32
Python version: 3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.10.112-005.ali5000.alios7.x86_64-x86_64-with-glibc2.32
Is CUDA available: False
CUDA runtime version: 12.4.131
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
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
Byte Order: Little Endian
CPU(s): 96
On-line CPU(s) list: 0-95
Thread(s) per core: 2
Core(s) per socket: 24
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz
Stepping: 4
CPU MHz: 2699.989
CPU max MHz: 3100.0000
CPU min MHz: 1000.0000
BogoMIPS: 5000.00
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 33792K
NUMA node0 CPU(s): 0-23,48-71
NUMA node1 CPU(s): 24-47,72-95
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 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke flush_l1d
Versions of relevant libraries:
[pip3] flake8==7.1.1
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-cuda-cupti-cu12==12.4.127
[pip3] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3] nvidia-cuda-runtime-cu12==12.4.127
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.2.1.3
[pip3] nvidia-curand-cu12==10.3.5.147
[pip3] nvidia-cusolver-cu12==11.6.1.9
[pip3] nvidia-cusparse-cu12==12.3.1.170
[pip3] nvidia-ml-py==12.560.30
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] pyzmq==26.2.0
[pip3] torch==2.5.1
[pip3] torchaudio==2.5.1
[pip3] torchvision==0.20.1
[pip3] transformers==4.47.1
[pip3] triton==3.1.0
[conda] numpy 1.26.4 pypi_0 pypi
[conda] nvidia-cublas-cu12 12.4.5.8 pypi_0 pypi
[conda] nvidia-cuda-cupti-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cuda-nvrtc-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cuda-runtime-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cudnn-cu12 9.1.0.70 pypi_0 pypi
[conda] nvidia-cufft-cu12 11.2.1.3 pypi_0 pypi
[conda] nvidia-curand-cu12 10.3.5.147 pypi_0 pypi
[conda] nvidia-cusolver-cu12 11.6.1.9 pypi_0 pypi
[conda] nvidia-cusparse-cu12 12.3.1.170 pypi_0 pypi
[conda] nvidia-ml-py 12.560.30 pypi_0 pypi
[conda] nvidia-nccl-cu12 2.21.5 pypi_0 pypi
[conda] nvidia-nvjitlink-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-nvtx-cu12 12.4.127 pypi_0 pypi
[conda] pyzmq 26.2.0 pypi_0 pypi
[conda] torch 2.5.1 pypi_0 pypi
[conda] torchaudio 2.5.1 pypi_0 pypi
[conda] torchvision 0.20.1 pypi_0 pypi
[conda] transformers 4.47.1 pypi_0 pypi
[conda] triton 3.1.0 pypi_0 pypi
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: N/A (dev)
vLLM Build Flags:
CUDA Archs: 8.0 8.6 8.9 9.0; ROCm: Disabled; Neuron: Disabled
GPU Topology:
Could not collect
NVIDIA_VISIBLE_DEVICES=all
LD_LIBRARY_PATH=/opt/conda/lib/python3.10/site-packages/cv2/../../lib64::/opt/conda/lib/python3.10/site-packages/aistudio_common/reader/libs/:/opt/taobao/java/jre/lib/amd64/server/:/usr/local/cuda/lib64:/opt/conda/lib/python3.10/site-packages/aistudio_common/reader/libs/:/opt/taobao/java/jre/lib/amd64/server/:/usr/local/cuda/lib64
NVIDIA_DRIVER_CAPABILITIES=all
MAX_JOBS=12
TORCH_CUDA_ARCH_LIST=8.0 8.6 8.9 9.0
NCCL_CUMEM_ENABLE=0
TORCHINDUCTOR_COMPILE_THREADS=1
How you are installing vllm
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