The output of `python collect_env.py`
Collecting environment information...
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.2 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: 14.0.0-1ubuntu1.1
CMake version: version 3.22.1
Libc version: glibc-2.35
Python version: 3.10.0 (default, Mar 3 2022, 09:58:08) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.15.0-73-generic-x86_64-with-glibc2.35
Is CUDA available: N/A
CUDA runtime version: 12.6.68
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration:
GPU 0: Tesla T4
GPU 1: Tesla T4
Nvidia driver version: 560.35.03
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.9.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.4.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.4.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: N/A
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): 16
On-line CPU(s) list: 0-15
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Gold 6151 CPU @ 3.00GHz
CPU family: 6
Model: 85
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
Stepping: 4
BogoMIPS: 6000.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 arat md_clear flush_l1d arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 256 KiB (8 instances)
L1i cache: 256 KiB (8 instances)
L2 cache: 8 MiB (8 instances)
L3 cache: 24.8 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-15
Vulnerability Itlb multihit: KVM: Mitigation: VMX unsupported
Vulnerability L1tf: Mitigation; PTE Inversion
Vulnerability Mds: Mitigation; Clear CPU buffers; SMT Host state unknown
Vulnerability Meltdown: Vulnerable
Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT Host state unknown
Vulnerability Retbleed: Vulnerable
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: Vulnerable, IBPB: disabled, STIBP: disabled, PBRSB-eIBRS: Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Mitigation; Clear CPU buffers; SMT Host state unknown
Versions of relevant libraries:
[pip3] No relevant packages
[conda] No relevant packages
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: N/A
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0 GPU1 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X PHB 0-15 0 N/A
GPU1 PHB X 0-15 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
Building editable for vllm (pyproject.toml) ... error
error: subprocess-exited-with-error
× Building editable for vllm (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [366 lines of output]
/tmp/pip-build-env-2wco638h/overlay/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:258: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.)
cpu = _conversion_method_template(device=torch.device("cpu"))
running editable_wheel
creating /tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm.egg-info
writing /tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm.egg-info/PKG-INFO
writing dependency_links to /tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm.egg-info/dependency_links.txt
writing entry points to /tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm.egg-info/entry_points.txt
writing requirements to /tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm.egg-info/requires.txt
writing top-level names to /tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm.egg-info/top_level.txt
writing manifest file '/tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
adding license file 'LICENSE'
writing manifest file '/tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm.egg-info/SOURCES.txt'
creating '/tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm-0.1.dev2794+g7193774.cu126.dist-info'
creating /tmp/pip-wheel-e84mg27r/.tmp-rt8x061a/vllm-0.1.dev2794+g7193774.cu126.dist-info/WHEEL
running build_py
running build_ext
-- The CXX compiler identification is GNU 11.4.0
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Build type: Debug
-- Target device: cuda
-- Found Python: /usr/local/anaconda3/envs/vllm/bin/python (found version "3.10.0") found components: Interpreter Development.Module Development.SABIModule
-- Found python matching: /usr/local/anaconda3/envs/vllm/bin/python.
-- Found CUDA: /usr/local/cuda (found version "12.6")
-- The CUDA compiler identification is NVIDIA 12.6.68
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Found CUDAToolkit: /usr/local/cuda/include (found version "12.6.68")
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Caffe2: CUDA detected: 12.6
-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda
-- Caffe2: Header version is: 12.6
-- /usr/local/cuda/lib64/libnvrtc.so shorthash is 136e7fe9
-- USE_CUDNN is set to 0. Compiling without cuDNN support
-- USE_CUSPARSELT is set to 0. Compiling without cuSPARSELt support
-- Autodetected CUDA architecture(s): 7.5 7.5
-- Added CUDA NVCC flags for: -gencode;arch=compute_75,code=sm_75
CMake Warning at /tmp/pip-build-env-2wco638h/overlay/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
static library kineto_LIBRARY-NOTFOUND not found.
Call Stack (most recent call first):
/tmp/pip-build-env-2wco638h/overlay/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:120 (append_torchlib_if_found)
CMakeLists.txt:84 (find_package)
-- Found Torch: /tmp/pip-build-env-2wco638h/overlay/lib/python3.10/site-packages/torch/lib/libtorch.so
-- Enabling core extension.
-- CUDA supported arches: 7.0;7.5;8.0;8.6;8.9;9.0
-- CUDA target arches: 75-real
-- CMake Version: 3.30.3
-- CUTLASS 3.5.1
-- CUDART: /usr/local/cuda/lib64/libcudart.so
-- CUDA Driver: /usr/local/cuda/lib64/stubs/libcuda.so
-- NVRTC: /usr/local/cuda/lib64/libnvrtc.so
-- Default Install Location: install
-- Found Python3: /usr/local/anaconda3/envs/vllm/bin/python3.10 (found suitable version "3.10.0", minimum required is "3.5") found components: Interpreter
-- Make cute::tuple be the new standard-layout tuple type
-- CUDA Compilation Architectures: 70;72;75;80;86;87;89;90;90a
-- Enable caching of reference results in conv unit tests
-- Enable rigorous conv problem sizes in conv unit tests
-- Using NVCC flags: --expt-relaxed-constexpr;-DCUTE_USE_PACKED_TUPLE=1;-DCUTLASS_TEST_LEVEL=0;-DCUTLASS_TEST_ENABLE_CACHED_RESULTS=1;-DCUTLASS_CONV_UNIT_TEST_RIGOROUS_SIZE_ENABLED=1;-DCUTLASS_DEBUG_TRACE_LEVEL=0;-Xcompiler=-Wconversion;-Xcompiler=-fno-strict-aliasing;-lineinfo
-- Configuring cublas ...
-- cuBLAS Disabled.
-- Configuring cuBLAS ... done.
-- Machete generation completed successfully.
-- Machete generated sources: /home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u4.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u4_impl_part0.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u4_impl_part1.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u4b8.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u4b8_impl_part0.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u4b8_impl_part1.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u8.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u8_impl_part0.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u8_impl_part1.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u8b128.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u8b128_impl_part0.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u8b128_impl_part1.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u4.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u4_impl_part0.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u4_impl_part1.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u4b8.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u4b8_impl_part0.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u4b8_impl_part1.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u8.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u8_impl_part0.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u8_impl_part1.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u8b128.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u8b128_impl_part0.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_mm_f16u8b128_impl_part1.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_prepack_bf16u4.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_prepack_bf16u4b8.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_prepack_bf16u8.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_prepack_bf16u8b128.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_prepack_f16u4.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_prepack_f16u4b8.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_prepack_f16u8.cu;/home/ws/vllm/csrc/quantization/machete/generated/machete_prepack_f16u8b128.cu
-- Enabling C extension.
-- Enabling moe extension.
-- Build type: Debug
-- Target device: cuda
-- Building vllm-flash-attn inside vLLM. Skipping flag detection and relying on parent build.
-- vllm-flash-attn is available at /tmp/tmp871jv6sq.build-temp/_deps/vllm-flash-attn-src
-- Configuring done (153.7s)
-- Generating done (0.1s)
-- Build files have been written to: /tmp/tmp871jv6sq.build-temp
[1/137] Building CXX object CMakeFiles/_core_C.dir/csrc/core/torch_bindings.cpp.o
[2/137] Linking CXX shared module _core_C.abi3.so
[3/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim192_bf16_causal_sm80.cu.o
[4/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim128_fp16_causal_sm80.cu.o
[5/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim128_bf16_causal_sm80.cu.o
[6/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim160_fp16_causal_sm80.cu.o
[7/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim160_fp16_sm80.cu.o
[8/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim160_bf16_sm80.cu.o
[9/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim128_bf16_sm80.cu.o
[10/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim128_fp16_sm80.cu.o
[11/137] Building CUDA object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/src/flash_fwd_hdim160_bf16_causal_sm80.cu.o
[12/137] Building CXX object _deps/vllm-flash-attn-build/CMakeFiles/vllm_flash_attn_c.dir/csrc/flash_attn/flash_api.cpp.o
[13/137] Building CUDA object CMakeFiles/_C.dir/csrc/cuda_utils_kernels.cu.o
[14/137] Building CXX object CMakeFiles/_moe_C.dir/csrc/moe/torch_bindings.cpp.o
[15/137] Building CXX object CMakeFiles/_C.dir/csrc/torch_bindings.cpp.o
[16/137] Building CUDA object CMakeFiles/_moe_C.dir/csrc/moe/marlin_kernels/marlin_moe_kernel_ku8b128.cu.o
[17/137] Building CUDA object CMakeFiles/_moe_C.dir/csrc/moe/marlin_moe_ops.cu.o
[18/137] Building CUDA object CMakeFiles/_moe_C.dir/csrc/moe/marlin_kernels/marlin_moe_kernel_ku4b8.cu.o
[19/137] Building CUDA object CMakeFiles/_moe_C.dir/csrc/moe/topk_softmax_kernels.cu.o
[20/137] Building CUDA object CMakeFiles/_C.dir/csrc/cache_kernels.cu.o
[21/137] Building CUDA object CMakeFiles/_C.dir/csrc/pos_encoding_kernels.cu.o
[22/137] Building CUDA object CMakeFiles/_C.dir/csrc/activation_kernels.cu.o
[23/137] Building CUDA object CMakeFiles/_C.dir/csrc/prepare_inputs/advance_step.cu.o
/home/ws/vllm/csrc/prepare_inputs/advance_step.cu: In function ‘void prepare_inputs::advance_step_flashinfer(int, int, int, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&)’:
/home/ws/vllm/csrc/prepare_inputs/advance_step.cu:214:8: warning: format ‘%d’ expects argument of type ‘int’, but argument 2 has type ‘int64_t’ {aka ‘long int’} [-Wformat=]
214 | printf(" block_tables.stride(0) = %d\n", block_tables.stride(0));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~
| |
| int64_t {aka long int}
[24/137] Building CUDA object CMakeFiles/_C.dir/csrc/moe_align_block_size_kernels.cu.o
[25/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/compressed_tensors/int8_quant_kernels.cu.o
[26/137] Building CUDA object CMakeFiles/_C.dir/csrc/layernorm_kernels.cu.o
[27/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/fp8/common.cu.o
[28/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/gptq/q_gemm.cu.o
[29/137] Building CUDA object CMakeFiles/_C.dir/csrc/mamba/mamba_ssm/selective_scan_fwd.cu.o
[30/137] Building CUDA object CMakeFiles/_C.dir/csrc/mamba/causal_conv1d/causal_conv1d.cu.o
[31/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/aqlm/gemm_kernels.cu.o
[32/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/awq/gemm_kernels.cu.o
[33/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/marlin/dense/marlin_cuda_kernel.cu.o
[34/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/marlin/sparse/marlin_24_cuda_kernel.cu.o
[35/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/marlin/qqq/marlin_qqq_gemm_kernel.cu.o
[36/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/gptq_marlin/gptq_marlin_repack.cu.o
[37/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/gptq_marlin/awq_marlin_repack.cu.o
[38/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/fp8/fp8_marlin.cu.o
[39/137] Building CUDA object CMakeFiles/_C.dir/csrc/custom_all_reduce.cu.o
[40/137] Building CUDA object CMakeFiles/_C.dir/csrc/permute_cols.cu.o
[41/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/gptq_marlin/gptq_marlin.cu.o
[42/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/gguf/gguf_kernel.cu.o
[43/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/cutlass_w8a8/scaled_mm_entry.cu.o
[44/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u4b8.cu.o
[45/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u4.cu.o
[46/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u8.cu.o
[47/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u8b128.cu.o
[48/137] Building CUDA object CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u4_impl_part0.cu.o
FAILED: CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u4_impl_part0.cu.o
/usr/local/cuda/bin/nvcc -forward-unknown-to-host-compiler -DCUTLASS_ENABLE_DIRECT_CUDA_DRIVER_CALL=1 -DPy_LIMITED_API=3 -DTORCH_EXTENSION_NAME=_C -DUSE_C10D_GLOO -DUSE_C10D_NCCL -DUSE_DISTRIBUTED -DUSE_RPC -DUSE_TENSORPIPE -D_C_EXPORTS -I/home/ws/vllm/csrc -I/tmp/tmp871jv6sq.build-temp/_deps/cutlass-src/include -isystem /usr/local/anaconda3/envs/vllm/include/python3.10 -isystem /tmp/pip-build-env-2wco638h/overlay/lib/python3.10/site-packages/torch/include -isystem /tmp/pip-build-env-2wco638h/overlay/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda/include -DONNX_NAMESPACE=onnx_c2 -Xcudafe --diag_suppress=cc_clobber_ignored,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=bad_friend_decl --expt-relaxed-constexpr --expt-extended-lambda -g -std=c++17 "--generate-code=arch=compute_75,code=[sm_75]" -Xcompiler=-fPIC --expt-relaxed-constexpr -DENABLE_FP8 --threads=1 -D_GLIBCXX_USE_CXX11_ABI=0 -gencode arch=compute_90a,code=sm_90a -MD -MT CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u4_impl_part0.cu.o -MF CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u4_impl_part0.cu.o.d -x cu -c /home/ws/vllm/csrc/quantization/machete/generated/machete_mm_bf16u4_impl_part0.cu -o CMakeFiles/_C.dir/csrc/quantization/machete/generated/machete_mm_bf16u4_impl_part0.cu.o
Killed
