[Bug]: Failed to import from vllm._C with ImportError #17388
Description
Your current environment
The output of `python collect_env.py`
INFO 04-29 12:58:14 [__init__.py:239] Automatically detected platform rocm.
WARNING 04-29 12:58:14 [rocm.py:29] Failed to import from vllm._C with ImportError('/usr/local/lib/python3.12/dist-packages/vllm/_C.abi3.so: undefined symbol: _Z18cutlass_mla_decodeRKN2at6TensorES2_S2_S2_S2_S2_d')
WARNING 04-29 12:58:14 [_custom_ops.py:21] Failed to import from vllm._C with ImportError('/usr/local/lib/python3.12/dist-packages/vllm/_C.abi3.so: undefined symbol: _Z18cutlass_mla_decodeRKN2at6TensorES2_S2_S2_S2_S2_d')
Collecting environment information...
PyTorch version: 2.6.0a0+git8d4926e
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 6.3.42133-1b9c17779
OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.1 24491 1e0fda770a2079fbd71e4b70974d74f62fd3af10)
CMake version: version 3.31.6
Libc version: glibc-2.35
Python version: 3.12.9 (main, Feb 5 2025, 08:49:00) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.8.0-41-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: Radeon RX 7900 XTX (gfx1100)
Nvidia driver version: Could not collect
cuDNN version: Could not collect
HIP runtime version: 6.3.42133
MIOpen runtime version: 3.3.0
Is XNNPACK available: True
CPU:
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): 32
On-line CPU(s) list: 0-31
Vendor ID: AuthenticAMD
Model name: AMD Ryzen 9 5950X 16-Core Processor
CPU family: 25
Model: 33
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 1
Stepping: 2
Frequency boost: enabled
CPU max MHz: 5083.3979
CPU min MHz: 2200.0000
BogoMIPS: 6800.61
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 rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm debug_swap
Virtualization: AMD-V
L1d cache: 512 KiB (16 instances)
L1i cache: 512 KiB (16 instances)
L2 cache: 8 MiB (16 instances)
L3 cache: 64 MiB (2 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-31
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: 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 Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==2.2.5
[pip3] pyzmq==26.4.0
[pip3] torch==2.6.0a0+git8d4926e
[pip3] torchvision==0.19.1a0+6194369
[pip3] transformers==4.51.3
[pip3] triton==3.2.0+gite5be006a
[conda] Could not collect
ROCM Version: 6.3.42133-1b9c17779
Neuron SDK Version: N/A
vLLM Version: 0.8.5.dev326+g97cc8729f.d20250429 (git sha: 97cc8729f, date: 20250429)
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
============================ ROCm System Management Interface ============================
================================ Weight between two GPUs =================================
GPU0 GPU1
GPU0 0 40
GPU1 40 0
================================= Hops between two GPUs ==================================
GPU0 GPU1
GPU0 0 2
GPU1 2 0
=============================== Link Type between two GPUs ===============================
GPU0 GPU1
GPU0 0 PCIE
GPU1 PCIE 0
======================================= Numa Nodes =======================================
GPU[0] : (Topology) Numa Node: 0
GPU[0] : (Topology) Numa Affinity: -1
GPU[1] : (Topology) Numa Node: 0
GPU[1] : (Topology) Numa Affinity: -1
================================== End of ROCm SMI Log ===================================
PYTORCH_ROCM_ARCH=gfx1100;gfx1101;gfx1200;gfx1201
LD_LIBRARY_PATH=/opt/rocm/lib:/usr/local/lib:
NCCL_CUMEM_ENABLE=0
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY
🐛 Describe the bug
I use AMD ROCM. I cloned the main branch. Then I ran:
DOCKER_BUILDKIT=1 docker build --build-arg BASE_IMAGE="rocm/vllm-dev:navi_base" -f docker/Dockerfile.rocm -t vllm-rocm .
The build is successful. But the generated vllm in the docker image does not work. If I run python -c 'import vllm._C'
Then the error:
INFO 04-29 12:57:36 [__init__.py:239] Automatically detected platform rocm.
WARNING 04-29 12:57:36 [rocm.py:29] Failed to import from vllm._C with ImportError('/usr/local/lib/python3.12/dist-packages/vllm/_C.abi3.so: undefined symbol: _Z18cutlass_mla_decodeRKN2at6TensorES2_S2_S2_S2_S2_d')
WARNING 04-29 12:57:36 [_custom_ops.py:21] Failed to import from vllm._C with ImportError('/usr/local/lib/python3.12/dist-packages/vllm/_C.abi3.so: undefined symbol: _Z18cutlass_mla_decodeRKN2at6TensorES2_S2_S2_S2_S2_d')
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: /usr/local/lib/python3.12/dist-packages/vllm/_C.abi3.so: undefined symbol: _Z18cutlass_mla_decodeRKN2at6TensorES2_S2_S2_S2_S2_d
There was no such error with the previous version of Vllm. Here is the output:
INFO 04-29 12:44:53 [__init__.py:239] Automatically detected platform rocm.
root@hackey-MS-7C35:/app# clang --version
AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.1 24491 1e0fda770a2079fbd71e4b70974d74f62fd3af10)
Target: x86_64-unknown-linux-gnu
Thread model: posix
InstalledDir: /opt/rocm/llvm/bin
Configuration file: /opt/rocm-6.3.1/lib/llvm/bin/clang.cfg```
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