Skip to content

[Bug]: Latest vllm docker can not serve nvfp4 models. curand_kernel.h: No such file or directory #29590

@LUOXIAO92

Description

@LUOXIAO92

Your current environment

The output of python collect_env.py. Just the env info of my local machine, not the docker
--2025-11-27 16:36:01--  https://raw.githubusercontent.com/vllm-project/vllm/main/vllm/collect_env.py
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 2606:50c0:8000::154, 2606:50c0:8001::154, 2606:50c0:8002::154, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|2606:50c0:8000::154|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 28050 (27K) [text/plain]
Saving to: ‘collect_env.py’

collect_env.py                    100%[==========================================================>]  27.39K  --.-KB/s    in 0.008s

2025-11-27 16:36:02 (3.44 MB/s) - ‘collect_env.py’ saved [28050/28050]

(vllm) luoxiao@LX-HOME:/mnt/g/download$ python collect_env.py
Collecting environment information...
==============================
        System Info
==============================
OS                           : Ubuntu 24.04.3 LTS (x86_64)
GCC version                  : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.39

==============================
       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               : 3.12.12 | packaged by conda-forge | (main, Oct 22 2025, 23:25:55) [GCC 14.3.0] (64-bit runtime)
Python platform              : Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.39

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 13.0.88
CUDA_MODULE_LOADING set to   :
GPU models and configuration : GPU 0: NVIDIA GeForce RTX 5090
Nvidia driver version        : 581.80
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):                               32
On-line CPU(s) list:                  0-31
Vendor ID:                            AuthenticAMD
Model name:                           AMD Ryzen 9 9950X 16-Core Processor
CPU family:                           26
Model:                                68
Thread(s) per core:                   2
Core(s) per socket:                   16
Socket(s):                            1
Stepping:                             0
BogoMIPS:                             8599.83
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 tsc_reliable nonstop_tsc cpuid extd_apicid tsc_known_freq pni pclmulqdq ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext perfctr_core ssbd ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 clzero xsaveerptr arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload avx512vbmi umip avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid fsrm avx512_vp2intersect
Virtualization:                       AMD-V
Hypervisor vendor:                    Microsoft
Virtualization type:                  full
L1d cache:                            768 KiB (16 instances)
L1i cache:                            512 KiB (16 instances)
L2 cache:                             16 MiB (16 instances)
L3 cache:                             32 MiB (1 instance)
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:   Not affected
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] flashinfer-python==0.5.2
[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==4.3.0
[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==4.57.3
[pip3] triton==3.5.0
[conda] flashinfer-python                    0.5.2            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                   4.3.0            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                         4.57.3           pypi_0                pypi
[conda] triton                               3.5.0            pypi_0                pypi

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.11.2
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
        GPU0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X                              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/lib64:
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1

🐛 Describe the bug

Main problem seems to be following:

/usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include/cutlass/util/reference/device/tensor_fill.h:52:10: fatal error: curand_kernel.h: No such file or directory

I can run the model via my local env, where the model is quantized by following the example https://github.com/vllm-project/llm-compressor/blob/main/examples/quantization_w4a4_fp4/qwen3_vl_moe_w4a4_fp4.py

Docker image is the latest one: vllm/vllm-openai:nightly-11ea5ec1ff7afc5ba181cba41f0cc2e4053e27f3

Detailed log
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]   File "/usr/local/lib/python3.12/dist-packages/flashinfer/jit/core.py", line 309, in build_and_load
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]     self.build(verbose, need_lock=False)
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]   File "/usr/local/lib/python3.12/dist-packages/flashinfer/jit/core.py", line 295, in build
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]     run_ninja(jit_env.FLASHINFER_JIT_DIR, self.ninja_path, verbose)
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]   File "/usr/local/lib/python3.12/dist-packages/flashinfer/jit/cpp_ext.py", line 299, in run_ninja
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]     raise RuntimeError(msg) from e
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] RuntimeError: Ninja build failed. Ninja output:
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] ninja: Entering directory `/root/.cache/flashinfer/0.5.2/120a/cached_ops'
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] [1/4] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_sm120.cuda.o.d -DPy_LIMITED_API=0x03090000 -D_GLIBCXX_USE_CXX11_ABI=1 -isystem /usr/include/python3.12 -isystem /usr/local/cuda/include -isystem /usr/local/cuda/include/cccl -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/spdlog/include --compiler-options=-fPIC --expt-relaxed-constexpr -static-global-template-stub=false -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -std=c++17 --threads=1 -use_fast_math -DFLASHINFER_ENABLE_F16 -DFLASHINFER_ENABLE_BF16 -DFLASHINFER_ENABLE_FP8_E4M3 -DFLASHINFER_ENABLE_FP8_E5M2 -DNDEBUG -O3 -gencode=arch=compute_120a,code=sm_120a -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -DENABLE_BF16 -DENABLE_FP4 -c /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc/fp4_gemm_cutlass_sm120.cu -o fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_sm120.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] FAILED: [code=1] fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_sm120.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_sm120.cuda.o.d -DPy_LIMITED_API=0x03090000 -D_GLIBCXX_USE_CXX11_ABI=1 -isystem /usr/include/python3.12 -isystem /usr/local/cuda/include -isystem /usr/local/cuda/include/cccl -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/spdlog/include --compiler-options=-fPIC --expt-relaxed-constexpr -static-global-template-stub=false -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -std=c++17 --threads=1 -use_fast_math -DFLASHINFER_ENABLE_F16 -DFLASHINFER_ENABLE_BF16 -DFLASHINFER_ENABLE_FP8_E4M3 -DFLASHINFER_ENABLE_FP8_E5M2 -DNDEBUG -O3 -gencode=arch=compute_120a,code=sm_120a -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -DENABLE_BF16 -DENABLE_FP4 -c /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc/fp4_gemm_cutlass_sm120.cu -o fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_sm120.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] In file included from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/cutlass_utils.cuh:42,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/gemm/fp4_gemm_template_sm120.h:35,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/gemm/fp4_gemm_cutlass_template_sm120.h:41,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc/fp4_gemm_cutlass_sm120.cu:26:
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include/cutlass/util/reference/device/tensor_fill.h:52:10: fatal error: curand_kernel.h: No such file or directory
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]    52 | #include <curand_kernel.h>
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]       |          ^~~~~~~~~~~~~~~~~
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] compilation terminated.
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] [2/4] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output fp4_gemm_cutlass_sm120/fp4_gemm_cutlass___nv_bfloat16_128_128_128.cuda.o.d -DPy_LIMITED_API=0x03090000 -D_GLIBCXX_USE_CXX11_ABI=1 -isystem /usr/include/python3.12 -isystem /usr/local/cuda/include -isystem /usr/local/cuda/include/cccl -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/spdlog/include --compiler-options=-fPIC --expt-relaxed-constexpr -static-global-template-stub=false -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -std=c++17 --threads=1 -use_fast_math -DFLASHINFER_ENABLE_F16 -DFLASHINFER_ENABLE_BF16 -DFLASHINFER_ENABLE_FP8_E4M3 -DFLASHINFER_ENABLE_FP8_E5M2 -DNDEBUG -O3 -gencode=arch=compute_120a,code=sm_120a -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -DENABLE_BF16 -DENABLE_FP4 -c /root/.cache/flashinfer/0.5.2/120a/generated/gen_gemm_sm120_cutlass_fp4/fp4_gemm_cutlass___nv_bfloat16_128_128_128.cu -o fp4_gemm_cutlass_sm120/fp4_gemm_cutlass___nv_bfloat16_128_128_128.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] FAILED: [code=1] fp4_gemm_cutlass_sm120/fp4_gemm_cutlass___nv_bfloat16_128_128_128.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output fp4_gemm_cutlass_sm120/fp4_gemm_cutlass___nv_bfloat16_128_128_128.cuda.o.d -DPy_LIMITED_API=0x03090000 -D_GLIBCXX_USE_CXX11_ABI=1 -isystem /usr/include/python3.12 -isystem /usr/local/cuda/include -isystem /usr/local/cuda/include/cccl -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/spdlog/include --compiler-options=-fPIC --expt-relaxed-constexpr -static-global-template-stub=false -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -std=c++17 --threads=1 -use_fast_math -DFLASHINFER_ENABLE_F16 -DFLASHINFER_ENABLE_BF16 -DFLASHINFER_ENABLE_FP8_E4M3 -DFLASHINFER_ENABLE_FP8_E5M2 -DNDEBUG -O3 -gencode=arch=compute_120a,code=sm_120a -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -DENABLE_BF16 -DENABLE_FP4 -c /root/.cache/flashinfer/0.5.2/120a/generated/gen_gemm_sm120_cutlass_fp4/fp4_gemm_cutlass___nv_bfloat16_128_128_128.cu -o fp4_gemm_cutlass_sm120/fp4_gemm_cutlass___nv_bfloat16_128_128_128.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] In file included from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/cutlass_utils.cuh:42,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/gemm/fp4_gemm_template_sm120.h:35,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/gemm/fp4_gemm_cutlass_template_sm120.h:41,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /root/.cache/flashinfer/0.5.2/120a/generated/gen_gemm_sm120_cutlass_fp4/fp4_gemm_cutlass___nv_bfloat16_128_128_128.cu:18:
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include/cutlass/util/reference/device/tensor_fill.h:52:10: fatal error: curand_kernel.h: No such file or directory
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]    52 | #include <curand_kernel.h>
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]       |          ^~~~~~~~~~~~~~~~~
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] compilation terminated.
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] [3/4] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_half_128_128_128.cuda.o.d -DPy_LIMITED_API=0x03090000 -D_GLIBCXX_USE_CXX11_ABI=1 -isystem /usr/include/python3.12 -isystem /usr/local/cuda/include -isystem /usr/local/cuda/include/cccl -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/spdlog/include --compiler-options=-fPIC --expt-relaxed-constexpr -static-global-template-stub=false -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -std=c++17 --threads=1 -use_fast_math -DFLASHINFER_ENABLE_F16 -DFLASHINFER_ENABLE_BF16 -DFLASHINFER_ENABLE_FP8_E4M3 -DFLASHINFER_ENABLE_FP8_E5M2 -DNDEBUG -O3 -gencode=arch=compute_120a,code=sm_120a -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -DENABLE_BF16 -DENABLE_FP4 -c /root/.cache/flashinfer/0.5.2/120a/generated/gen_gemm_sm120_cutlass_fp4/fp4_gemm_cutlass_half_128_128_128.cu -o fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_half_128_128_128.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] FAILED: [code=1] fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_half_128_128_128.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_half_128_128_128.cuda.o.d -DPy_LIMITED_API=0x03090000 -D_GLIBCXX_USE_CXX11_ABI=1 -isystem /usr/include/python3.12 -isystem /usr/local/cuda/include -isystem /usr/local/cuda/include/cccl -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/tvm_ffi/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/csrc -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include -isystem /usr/local/lib/python3.12/dist-packages/flashinfer/data/spdlog/include --compiler-options=-fPIC --expt-relaxed-constexpr -static-global-template-stub=false -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -std=c++17 --threads=1 -use_fast_math -DFLASHINFER_ENABLE_F16 -DFLASHINFER_ENABLE_BF16 -DFLASHINFER_ENABLE_FP8_E4M3 -DFLASHINFER_ENABLE_FP8_E5M2 -DNDEBUG -O3 -gencode=arch=compute_120a,code=sm_120a -DFLASHINFER_ENABLE_FP8_E8M0 -DFLASHINFER_ENABLE_FP4_E2M1 -DENABLE_BF16 -DENABLE_FP4 -c /root/.cache/flashinfer/0.5.2/120a/generated/gen_gemm_sm120_cutlass_fp4/fp4_gemm_cutlass_half_128_128_128.cu -o fp4_gemm_cutlass_sm120/fp4_gemm_cutlass_half_128_128_128.cuda.o
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] In file included from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/cutlass_utils.cuh:42,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/gemm/fp4_gemm_template_sm120.h:35,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /usr/local/lib/python3.12/dist-packages/flashinfer/data/include/flashinfer/gemm/fp4_gemm_cutlass_template_sm120.h:41,
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]                  from /root/.cache/flashinfer/0.5.2/120a/generated/gen_gemm_sm120_cutlass_fp4/fp4_gemm_cutlass_half_128_128_128.cu:18:
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] /usr/local/lib/python3.12/dist-packages/flashinfer/data/cutlass/tools/util/include/cutlass/util/reference/device/tensor_fill.h:52:10: fatal error: curand_kernel.h: No such file or directory
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]    52 | #include <curand_kernel.h>
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]       |          ^~~~~~~~~~~~~~~~~
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] compilation terminated.
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842] ninja: build stopped: subcommand failed.
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) ERROR 11-26 21:20:36 [core.py:842]
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143) Traceback (most recent call last):
vllm-nemotron9b-1  | (EngineCore_DP0 pid=143)   File "/usr/local/lib/python3.12/dist-packages/flashinfer/jit/cpp_ext.py", line 287, in run_ninja

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.

Metadata

Metadata

Assignees

No one assigned

    Labels

    bugSomething isn't working

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions