[Bug] Qwen3 DPTPEP cutlass_scaled_mm: RuntimeError: m must be divisible by 4 #25527
Description
Your current environment
The output of python collect_env.py
(base) ray@k-da71e7ee0c9670001:~/default/patches/vllm$ python vllm/collect_env.py
Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 22.04.5 LTS (x86_64)
GCC version : (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0
Clang version : Could not collect
CMake version : version 3.22.1
Libc version : glibc-2.35
==============================
PyTorch Info
==============================
PyTorch version : 2.8.0+cu128
Is debug build : False
CUDA used to build PyTorch : 12.8
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.11.11 | packaged by conda-forge | (main, Mar 3 2025, 20:43:55) [GCC 13.3.0] (64-bit runtime)
Python platform : Linux-6.6.72+-x86_64-with-glibc2.35
==============================
CUDA / GPU Info
==============================
Is CUDA available : True
CUDA runtime version : Could not collect
CUDA_MODULE_LOADING set to : LAZY
GPU models and configuration :
GPU 0: NVIDIA H100 80GB HBM3
GPU 1: NVIDIA H100 80GB HBM3
GPU 2: NVIDIA H100 80GB HBM3
GPU 3: NVIDIA H100 80GB HBM3
GPU 4: NVIDIA H100 80GB HBM3
GPU 5: NVIDIA H100 80GB HBM3
GPU 6: NVIDIA H100 80GB HBM3
GPU 7: NVIDIA H100 80GB HBM3
Nvidia driver version : 570.124.06
cuDNN version : Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.9.8.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.8.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.8.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.8.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.8.0
/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.8.0
/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.8.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.8.0
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: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 208
On-line CPU(s) list: 0-207
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz
CPU family: 6
Model: 143
Thread(s) per core: 2
Core(s) per socket: 52
Socket(s): 2
Stepping: 8
BogoMIPS: 5399.99
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 aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rtm avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 arat avx512vbmi umip avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid cldemote movdiri movdir64b fsrm md_clear serialize tsxldtrk amx_bf16 avx512_fp16 amx_tile amx_int8 arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 4.9 MiB (104 instances)
L1i cache: 3.3 MiB (104 instances)
L2 cache: 208 MiB (104 instances)
L3 cache: 210 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-51,104-155
NUMA node1 CPU(s): 52-103,156-207
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; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
==============================
Versions of relevant libraries
==============================
[pip3] numpy==1.26.4
[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-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-nccl-cu12==2.27.3
[pip3] nvidia-nvjitlink-cu12==12.8.93
[pip3] nvidia-nvshmem-cu12==3.4.5
[pip3] nvidia-nvtx-cu12==12.8.90
[pip3] pyzmq==26.0.3
[pip3] torch==2.8.0+cu128
[pip3] torchaudio==2.8.0+cu128
[pip3] torchvision==0.23.0+cu128
[pip3] transformers==4.56.1
[pip3] triton==3.4.0
[conda] numpy 1.26.4 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-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-nccl-cu12 2.27.3 pypi_0 pypi
[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi
[conda] nvidia-nvshmem-cu12 3.4.5 pypi_0 pypi
[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi
[conda] pyzmq 26.0.3 pypi_0 pypi
[conda] torch 2.8.0+cu128 pypi_0 pypi
[conda] torchaudio 2.8.0+cu128 pypi_0 pypi
[conda] torchvision 0.23.0+cu128 pypi_0 pypi
[conda] transformers 4.56.1 pypi_0 pypi
[conda] triton 3.4.0 pypi_0 pypi
==============================
vLLM Info
==============================
ROCM Version : Could not collect
Neuron SDK Version : N/A
vLLM Version : 0.1.dev9127+g7deb250a8.d20250923 (git sha: 7deb250a8, date: 20250923)
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 0-51,104-155 0 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 0-51,104-155 0 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 0-51,104-155 0 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 0-51,104-155 0 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 52-103,156-207 1 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 52-103,156-207 1 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 52-103,156-207 1 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X 52-103,156-207 1 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
==============================
NVIDIA_VISIBLE_DEVICES=all
NCCL_GPUDIRECTTCPX_SCHED_ALG=KATY
NCCL_ALGO=Ring
NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
NCCL_MIN_NCHANNELS=16
NCCL_GPUDIRECTTCPX_SOCKET_IFNAME=eth1,eth2,eth3,eth4
NCCL_VERSION=2.25.1-1
NCCL_SOCKET_IFNAME=^lo,docker,veth,tailscale,anyscale
NCCL_NET_GDR_LEVEL=PIX
NCCL_DEBUG_SUBSYS=ENV
NCCL_BUFFSIZE=4194304
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NCCL_GPUDIRECTTCPX_DEBUG_LEVEL=INFO
NCCL_DEBUG=INFO
NVIDIA_PRODUCT_NAME=CUDA
NCCL_NSOCKS_PERTHREAD=4
NCCL_PROTO=Simple
CUDA_VERSION=12.8.1
NCCL_DYNAMIC_CHUNK_SIZE=524288
NCCL_GPUDIRECTTCPX_PROGRAM_FLOW_STEERING_WAIT_MICROS=500000
NCCL_GPUDIRECTTCPX_UNIX_CLIENT_PREFIX=/run/tcpx
NCCL_P2P_NET_CHUNKSIZE=524288
NCCL_MAX_NCHANNELS=16
NCCL_GPUDIRECTTCPX_FORCE_ACK=0
NCCL_P2P_PCI_CHUNKSIZE=524288
NCCL_P2P_PXN_LEVEL=0
NCCL_GPUDIRECTTCPX_RX_BINDINGS=eth1:22-35,126-139;eth2:22-35,126-139;eth3:74-87,178-191;eth4:74-87,178-191
NCCL_SOCKET_NTHREADS=1
LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/nixl/lib/x86_64-linux-gnu/plugins/:/usr/local/cuda/lib64:/usr/local/ucx/lib:/usr/local/nixl/lib/x86_64-linux-gnu:/usr/local/nvidia/lib64
NCCL_P2P_NVL_CHUNKSIZE=1048576
NCCL_GPUDIRECTTCPX_TX_BINDINGS=eth1:8-21,112-125;eth2:8-21,112-125;eth3:60-73,164-177;eth4:60-73,164-177
CUDA_HOME=/usr/local/cuda
CUDA_HOME=/usr/local/cuda
NCCL_IGNORE_CPU_AFFINITY=1
NCCL_GPUDIRECTTCPX_CTRL_DEV=eth0
NCCL_CROSS_NIC=0
NCCL_CUMEM_ENABLE=0
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY
🐛 Describe the bug
Engine fails with error RuntimeError: m must be divisible by 4 in cutlass_scaled_mm during CUDA graph capture:
Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 97%|████████████████████████████▏| 65/67 [02:43<00:05, 2.51s/it]
Reproducer:
VLLM_LOGGING_LEVEL=DEBUG VLLM_ALL2ALL_BACKEND=pplx vllm serve /hf_models/Qwen/Qwen3-235B-A22B-Instruct-2507-FP8/ --served-model-name qw-235b --tensor_parallel_size 1 --data_parallel_size 8 --enable_expert_parallelAlso seen with
VLLM_LOGGING_LEVEL=DEBUG VLLM_ALL2ALL_BACKEND=pplx vllm serve /hf_models/Qwen/Qwen3-235B-A22B-Instruct-2507-FP8/ --served-model-name qw-235b --tensor_parallel_size 4 --data_parallel_size 2 --enable_expert_parallelLog
(EngineCore_6 pid=203200) return forward_call(*args, **kwargs)
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_5 pid=203199) torch.ops._C.cutlass_scaled_mm(out, a, b, scale_a, scale_b, bias)
(EngineCore_3 pid=203197) File "<eval_with_key>.190", line 856, in forward
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_graph.py", line 119, in __call__
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
(EngineCore_5 pid=203199) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 1243, in __call__
(EngineCore_3 pid=203197) submod_0 = self.submod_0(l_input_ids_, s72, l_self_modules_embed_tokens_parameters_weight_, l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_, l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_, l_positions_, l_self_modules_layers_modules_0_modules_self_attn_modules_rotary_emb_buffers_cos_sin_cache_); l_input_ids_ = l_self_modules_embed_tokens_parameters_weight_ = l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_ = l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_ = None
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
(EngineCore_7 pid=203201) File "<eval_with_key>.190", line 856, in forward
(EngineCore_2 pid=203196) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_graph.py", line 119, in __call__
(EngineCore_6 pid=203200) File "<eval_with_key>.190", line 856, in forward
(EngineCore_4 pid=203198) return self.runnable(*args, **kwargs)
(EngineCore_1 pid=203195) return forward_call(*args, **kwargs)
(EngineCore_5 pid=203199) return self._op(*args, **kwargs)
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) return forward_call(*args, **kwargs)
(EngineCore_7 pid=203201) submod_0 = self.submod_0(l_input_ids_, s72, l_self_modules_embed_tokens_parameters_weight_, l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_, l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_, l_positions_, l_self_modules_layers_modules_0_modules_self_attn_modules_rotary_emb_buffers_cos_sin_cache_); l_input_ids_ = l_self_modules_embed_tokens_parameters_weight_ = l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_ = l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_ = None
(EngineCore_2 pid=203196) return self.runnable(*args, **kwargs)
(EngineCore_6 pid=203200) submod_0 = self.submod_0(l_input_ids_, s72, l_self_modules_embed_tokens_parameters_weight_, l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_, l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_, l_positions_, l_self_modules_layers_modules_0_modules_self_attn_modules_rotary_emb_buffers_cos_sin_cache_); l_input_ids_ = l_self_modules_embed_tokens_parameters_weight_ = l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_ = l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_ = None
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_5 pid=203199) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_graph.py", line 119, in __call__
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_piecewise_backend.py", line 96, in __call__
(EngineCore_1 pid=203195) File "<eval_with_key>.190", line 856, in forward
(EngineCore_3 pid=203197) return self.runnable(*args, **kwargs)
(EngineCore_5 pid=203199) RuntimeError: m must be divisible by 4
(EngineCore_0 pid=203194) File "<eval_with_key>.190", line 856, in forward
(EngineCore_7 pid=203201) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_graph.py", line 119, in __call__
(EngineCore_2 pid=203196) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_piecewise_backend.py", line 96, in __call__
(EngineCore_6 pid=203200) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_graph.py", line 119, in __call__
(EngineCore_4 pid=203198) return self.compiled_graph_for_general_shape(*args)
(EngineCore_1 pid=203195) submod_0 = self.submod_0(l_input_ids_, s72, l_self_modules_embed_tokens_parameters_weight_, l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_, l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_, l_positions_, l_self_modules_layers_modules_0_modules_self_attn_modules_rotary_emb_buffers_cos_sin_cache_); l_input_ids_ = l_self_modules_embed_tokens_parameters_weight_ = l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_ = l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_ = None
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) submod_0 = self.submod_0(l_input_ids_, s72, l_self_modules_embed_tokens_parameters_weight_, l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_, l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_, l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_, l_positions_, l_self_modules_layers_modules_0_modules_self_attn_modules_rotary_emb_buffers_cos_sin_cache_); l_input_ids_ = l_self_modules_embed_tokens_parameters_weight_ = l_self_modules_layers_modules_0_modules_input_layernorm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_qkv_proj_parameters_weight_scale_inv_ = l_self_modules_layers_modules_0_modules_self_attn_modules_q_norm_parameters_weight_ = l_self_modules_layers_modules_0_modules_self_attn_modules_k_norm_parameters_weight_ = None
(EngineCore_7 pid=203201) return self.runnable(*args, **kwargs)
(EngineCore_2 pid=203196) return self.compiled_graph_for_general_shape(*args)
(EngineCore_6 pid=203200) return self.runnable(*args, **kwargs)
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_piecewise_backend.py", line 96, in __call__
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/standalone_compile.py", line 62, in __call__
(EngineCore_1 pid=203195) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_graph.py", line 119, in __call__
(EngineCore_3 pid=203197) return self.compiled_graph_for_general_shape(*args)
(EngineCore_0 pid=203194) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_graph.py", line 119, in __call__
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/standalone_compile.py", line 62, in __call__
(EngineCore_7 pid=203201) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_piecewise_backend.py", line 96, in __call__
(EngineCore_4 pid=203198) return self._compiled_fn(*args)
(EngineCore_6 pid=203200) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_piecewise_backend.py", line 96, in __call__
(EngineCore_1 pid=203195) return self.runnable(*args, **kwargs)
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) return self.runnable(*args, **kwargs)
(EngineCore_2 pid=203196) return self._compiled_fn(*args)
(EngineCore_7 pid=203201) return self.compiled_graph_for_general_shape(*args)
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) return self.compiled_graph_for_general_shape(*args)
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/standalone_compile.py", line 62, in __call__
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 929, in _fn
(EngineCore_1 pid=203195) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_piecewise_backend.py", line 96, in __call__
(EngineCore_0 pid=203194) File "/home/ray/default/patches/vllm/vllm/compilation/cuda_piecewise_backend.py", line 96, in __call__
(EngineCore_3 pid=203197) return self._compiled_fn(*args)
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 929, in _fn
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/standalone_compile.py", line 62, in __call__
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/standalone_compile.py", line 62, in __call__
(EngineCore_4 pid=203198) return fn(*args, **kwargs)
(EngineCore_1 pid=203195) return self.compiled_graph_for_general_shape(*args)
(EngineCore_0 pid=203194) return self.compiled_graph_for_general_shape(*args)
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) return fn(*args, **kwargs)
(EngineCore_7 pid=203201) return self._compiled_fn(*args)
(EngineCore_6 pid=203200) return self._compiled_fn(*args)
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 929, in _fn
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 929, in _fn
(EngineCore_7 pid=203201) return fn(*args, **kwargs)
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/standalone_compile.py", line 62, in __call__
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1241, in forward
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/standalone_compile.py", line 62, in __call__
(EngineCore_3 pid=203197) return fn(*args, **kwargs)
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1241, in forward
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 929, in _fn
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) return self._compiled_fn(*args)
(EngineCore_4 pid=203198) return compiled_fn(full_args)
(EngineCore_0 pid=203194) return self._compiled_fn(*args)
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) return compiled_fn(full_args)
(EngineCore_6 pid=203200) return fn(*args, **kwargs)
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1241, in forward
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1241, in forward
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) return compiled_fn(full_args)
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 929, in _fn
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 384, in runtime_wrapper
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 929, in _fn
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 384, in runtime_wrapper
(EngineCore_3 pid=203197) return compiled_fn(full_args)
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1241, in forward
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) return fn(*args, **kwargs)
(EngineCore_4 pid=203198) all_outs = call_func_at_runtime_with_args(
(EngineCore_0 pid=203194) return fn(*args, **kwargs)
(EngineCore_2 pid=203196) all_outs = call_func_at_runtime_with_args(
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) return compiled_fn(full_args)
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 384, in runtime_wrapper
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 384, in runtime_wrapper
(EngineCore_7 pid=203201) all_outs = call_func_at_runtime_with_args(
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1241, in forward
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/utils.py", line 126, in call_func_at_runtime_with_args
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 1241, in forward
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/utils.py", line 126, in call_func_at_runtime_with_args
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 384, in runtime_wrapper
(EngineCore_3 pid=203197) all_outs = call_func_at_runtime_with_args(
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) return compiled_fn(full_args)
(EngineCore_4 pid=203198) out = normalize_as_list(f(args))
(EngineCore_0 pid=203194) return compiled_fn(full_args)
(EngineCore_2 pid=203196) out = normalize_as_list(f(args))
(EngineCore_6 pid=203200) all_outs = call_func_at_runtime_with_args(
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/utils.py", line 126, in call_func_at_runtime_with_args
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) ^^^^^^^
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/utils.py", line 126, in call_func_at_runtime_with_args
(EngineCore_7 pid=203201) out = normalize_as_list(f(args))
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 384, in runtime_wrapper
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 556, in wrapper
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 384, in runtime_wrapper
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 556, in wrapper
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/utils.py", line 126, in call_func_at_runtime_with_args
(EngineCore_3 pid=203197) out = normalize_as_list(f(args))
(EngineCore_7 pid=203201) ^^^^^^^
(EngineCore_1 pid=203195) all_outs = call_func_at_runtime_with_args(
(EngineCore_4 pid=203198) return compiled_fn(runtime_args)
(EngineCore_0 pid=203194) all_outs = call_func_at_runtime_with_args(
(EngineCore_2 pid=203196) return compiled_fn(runtime_args)
(EngineCore_6 pid=203200) out = normalize_as_list(f(args))
(EngineCore_3 pid=203197) ^^^^^^^
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 556, in wrapper
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/output_code.py", line 584, in __call__
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 556, in wrapper
(EngineCore_7 pid=203201) return compiled_fn(runtime_args)
(EngineCore_3 pid=203197) return compiled_fn(runtime_args)
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/output_code.py", line 584, in __call__
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/utils.py", line 126, in call_func_at_runtime_with_args
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/utils.py", line 126, in call_func_at_runtime_with_args
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 556, in wrapper
(EngineCore_2 pid=203196) return self.current_callable(inputs)
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) return self.current_callable(inputs)
(EngineCore_1 pid=203195) out = normalize_as_list(f(args))
(EngineCore_0 pid=203194) out = normalize_as_list(f(args))
(EngineCore_6 pid=203200) return compiled_fn(runtime_args)
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/output_code.py", line 584, in __call__
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/output_code.py", line 584, in __call__
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) ^^^^^^^
(EngineCore_0 pid=203194) ^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) return self.current_callable(inputs)
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/utils.py", line 2716, in run
(EngineCore_3 pid=203197) return self.current_callable(inputs)
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/utils.py", line 2716, in run
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 556, in wrapper
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 556, in wrapper
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/output_code.py", line 584, in __call__
(EngineCore_2 pid=203196) out = model(new_inputs)
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) out = model(new_inputs)
(EngineCore_1 pid=203195) return compiled_fn(runtime_args)
(EngineCore_0 pid=203194) return compiled_fn(runtime_args)
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) return self.current_callable(inputs)
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/utils.py", line 2716, in run
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/utils.py", line 2716, in run
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) File "/tmp/torchinductor_ray/uf/cuflij7hpmipreq5zk3ekjyaso5a6ik3axigbsvc5siilqwbzfch.py", line 842, in call
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/output_code.py", line 584, in __call__
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) out = model(new_inputs)
(EngineCore_3 pid=203197) out = model(new_inputs)
(EngineCore_2 pid=203196) buf3 = torch.ops.vllm.apply_w8a8_block_fp8_linear.default(buf2, arg4_1, [128, 128], arg5_1, input_scale=None, bias=None, cutlass_block_fp8_supported=True, use_aiter_and_is_supported=False)
(EngineCore_4 pid=203198) File "/tmp/torchinductor_ray/uf/cuflij7hpmipreq5zk3ekjyaso5a6ik3axigbsvc5siilqwbzfch.py", line 842, in call
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/output_code.py", line 584, in __call__
(EngineCore_1 pid=203195) return self.current_callable(inputs)
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/utils.py", line 2716, in run
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) buf3 = torch.ops.vllm.apply_w8a8_block_fp8_linear.default(buf2, arg4_1, [128, 128], arg5_1, input_scale=None, bias=None, cutlass_block_fp8_supported=True, use_aiter_and_is_supported=False)
(EngineCore_0 pid=203194) return self.current_callable(inputs)
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) File "/tmp/torchinductor_ray/uf/cuflij7hpmipreq5zk3ekjyaso5a6ik3axigbsvc5siilqwbzfch.py", line 842, in call
(EngineCore_6 pid=203200) out = model(new_inputs)
(EngineCore_3 pid=203197) File "/tmp/torchinductor_ray/uf/cuflij7hpmipreq5zk3ekjyaso5a6ik3axigbsvc5siilqwbzfch.py", line 842, in call
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 829, in __call__
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/utils.py", line 2716, in run
(EngineCore_7 pid=203201) buf3 = torch.ops.vllm.apply_w8a8_block_fp8_linear.default(buf2, arg4_1, [128, 128], arg5_1, input_scale=None, bias=None, cutlass_block_fp8_supported=True, use_aiter_and_is_supported=False)
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) buf3 = torch.ops.vllm.apply_w8a8_block_fp8_linear.default(buf2, arg4_1, [128, 128], arg5_1, input_scale=None, bias=None, cutlass_block_fp8_supported=True, use_aiter_and_is_supported=False)
(EngineCore_2 pid=203196) return self._op(*args, **kwargs)
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 829, in __call__
(EngineCore_1 pid=203195) out = model(new_inputs)
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_inductor/utils.py", line 2716, in run
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) File "/tmp/torchinductor_ray/uf/cuflij7hpmipreq5zk3ekjyaso5a6ik3axigbsvc5siilqwbzfch.py", line 842, in call
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) return self._op(*args, **kwargs)
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) out = model(new_inputs)
(EngineCore_6 pid=203200) buf3 = torch.ops.vllm.apply_w8a8_block_fp8_linear.default(buf2, arg4_1, [128, 128], arg5_1, input_scale=None, bias=None, cutlass_block_fp8_supported=True, use_aiter_and_is_supported=False)
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 829, in __call__
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 829, in __call__
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 174, in apply_w8a8_block_fp8_linear
(EngineCore_1 pid=203195) File "/tmp/torchinductor_ray/uf/cuflij7hpmipreq5zk3ekjyaso5a6ik3axigbsvc5siilqwbzfch.py", line 842, in call
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) return self._op(*args, **kwargs)
(EngineCore_3 pid=203197) return self._op(*args, **kwargs)
(EngineCore_2 pid=203196) output = w8a8_blockscale_func(q_input, weight, x_scale, weight_scale,
(EngineCore_4 pid=203198) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 174, in apply_w8a8_block_fp8_linear
(EngineCore_1 pid=203195) buf3 = torch.ops.vllm.apply_w8a8_block_fp8_linear.default(buf2, arg4_1, [128, 128], arg5_1, input_scale=None, bias=None, cutlass_block_fp8_supported=True, use_aiter_and_is_supported=False)
(EngineCore_0 pid=203194) File "/tmp/torchinductor_ray/uf/cuflij7hpmipreq5zk3ekjyaso5a6ik3axigbsvc5siilqwbzfch.py", line 842, in call
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 829, in __call__
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) output = w8a8_blockscale_func(q_input, weight, x_scale, weight_scale,
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) buf3 = torch.ops.vllm.apply_w8a8_block_fp8_linear.default(buf2, arg4_1, [128, 128], arg5_1, input_scale=None, bias=None, cutlass_block_fp8_supported=True, use_aiter_and_is_supported=False)
(EngineCore_6 pid=203200) return self._op(*args, **kwargs)
(EngineCore_7 pid=203201) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 174, in apply_w8a8_block_fp8_linear
(EngineCore_3 pid=203197) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 174, in apply_w8a8_block_fp8_linear
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 43, in cutlass_scaled_mm
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 829, in __call__
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) output = w8a8_blockscale_func(q_input, weight, x_scale, weight_scale,
(EngineCore_3 pid=203197) output = w8a8_blockscale_func(q_input, weight, x_scale, weight_scale,
(EngineCore_2 pid=203196) return ops.cutlass_scaled_mm(A,
(EngineCore_4 pid=203198) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 43, in cutlass_scaled_mm
(EngineCore_1 pid=203195) return self._op(*args, **kwargs)
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 829, in __call__
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 174, in apply_w8a8_block_fp8_linear
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) return ops.cutlass_scaled_mm(A,
(EngineCore_0 pid=203194) return self._op(*args, **kwargs)
(EngineCore_1 pid=203195) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 174, in apply_w8a8_block_fp8_linear
(EngineCore_7 pid=203201) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 43, in cutlass_scaled_mm
(EngineCore_6 pid=203200) output = w8a8_blockscale_func(q_input, weight, x_scale, weight_scale,
(EngineCore_3 pid=203197) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 43, in cutlass_scaled_mm
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) File "/home/ray/default/patches/vllm/vllm/_custom_ops.py", line 669, in cutlass_scaled_mm
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) output = w8a8_blockscale_func(q_input, weight, x_scale, weight_scale,
(EngineCore_0 pid=203194) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 174, in apply_w8a8_block_fp8_linear
(EngineCore_7 pid=203201) return ops.cutlass_scaled_mm(A,
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_3 pid=203197) return ops.cutlass_scaled_mm(A,
(EngineCore_2 pid=203196) torch.ops._C.cutlass_scaled_mm(out, a, b, scale_a, scale_b, bias)
(EngineCore_4 pid=203198) File "/home/ray/default/patches/vllm/vllm/_custom_ops.py", line 669, in cutlass_scaled_mm
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) output = w8a8_blockscale_func(q_input, weight, x_scale, weight_scale,
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 43, in cutlass_scaled_mm
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) torch.ops._C.cutlass_scaled_mm(out, a, b, scale_a, scale_b, bias)
(EngineCore_2 pid=203196) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 1243, in __call__
(EngineCore_1 pid=203195) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 43, in cutlass_scaled_mm
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) return ops.cutlass_scaled_mm(A,
(EngineCore_7 pid=203201) File "/home/ray/default/patches/vllm/vllm/_custom_ops.py", line 669, in cutlass_scaled_mm
(EngineCore_3 pid=203197) File "/home/ray/default/patches/vllm/vllm/_custom_ops.py", line 669, in cutlass_scaled_mm
(EngineCore_2 pid=203196) return self._op(*args, **kwargs)
(EngineCore_4 pid=203198) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 1243, in __call__
(EngineCore_1 pid=203195) return ops.cutlass_scaled_mm(A,
(EngineCore_0 pid=203194) File "/home/ray/default/patches/vllm/vllm/model_executor/layers/quantization/utils/fp8_utils.py", line 43, in cutlass_scaled_mm
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) torch.ops._C.cutlass_scaled_mm(out, a, b, scale_a, scale_b, bias)
(EngineCore_3 pid=203197) torch.ops._C.cutlass_scaled_mm(out, a, b, scale_a, scale_b, bias)
(EngineCore_2 pid=203196) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_4 pid=203198) return self._op(*args, **kwargs)
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) return ops.cutlass_scaled_mm(A,
(EngineCore_7 pid=203201) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 1243, in __call__
(EngineCore_6 pid=203200) File "/home/ray/default/patches/vllm/vllm/_custom_ops.py", line 669, in cutlass_scaled_mm
(EngineCore_3 pid=203197) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 1243, in __call__
(EngineCore_4 pid=203198) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_2 pid=203196) RuntimeError: m must be divisible by 4
(EngineCore_1 pid=203195) File "/home/ray/default/patches/vllm/vllm/_custom_ops.py", line 669, in cutlass_scaled_mm
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_7 pid=203201) return self._op(*args, **kwargs)
(EngineCore_6 pid=203200) torch.ops._C.cutlass_scaled_mm(out, a, b, scale_a, scale_b, bias)
(EngineCore_3 pid=203197) return self._op(*args, **kwargs)
(EngineCore_1 pid=203195) torch.ops._C.cutlass_scaled_mm(out, a, b, scale_a, scale_b, bias)
(EngineCore_4 pid=203198) RuntimeError: m must be divisible by 4
(EngineCore_0 pid=203194) File "/home/ray/default/patches/vllm/vllm/_custom_ops.py", line 669, in cutlass_scaled_mm
(EngineCore_7 pid=203201) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 1243, in __call__
(EngineCore_3 pid=203197) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 1243, in __call__
(EngineCore_0 pid=203194) torch.ops._C.cutlass_scaled_mm(out, a, b, scale_a, scale_b, bias)
(EngineCore_6 pid=203200) return self._op(*args, **kwargs)
(EngineCore_7 pid=203201) RuntimeError: m must be divisible by 4
(EngineCore_1 pid=203195) return self._op(*args, **kwargs)
(EngineCore_3 pid=203197) RuntimeError: m must be divisible by 4
(EngineCore_0 pid=203194) File "/home/ray/anaconda3/lib/python3.11/site-packages/torch/_ops.py", line 1243, in __call__
(EngineCore_6 pid=203200) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_1 pid=203195) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_0 pid=203194) return self._op(*args, **kwargs)
(EngineCore_0 pid=203194) ^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_6 pid=203200) RuntimeError: m must be divisible by 4
(EngineCore_1 pid=203195) RuntimeError: m must be divisible by 4
(EngineCore_0 pid=203194) RuntimeError: m must be divisible by 4
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