[Bug]: deepseek-coder-v2-lite-instruct; Exception in worker VllmWorkerProcess while processing method initialize_cache: [Errno 2] No such file or directory: '/root/.triton/cache/de758c429c9ff1f18930bbd9c3004506/fused_moe_kernel.json.tmp.pid_1528_587007', Traceback (most recent call last):

[fengyang95]

Your current environment

Collecting environment information...
PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Debian GNU/Linux 11 (bullseye) (x86_64)
GCC version: (Debian 10.2.1-6) 10.2.1 20210110
Clang version: Could not collect
CMake version: version 3.30.0
Libc version: glibc-2.31

Python version: 3.9.2 (default, Feb 28 2021, 17:03:44)  [GCC 10.2.1 20210110] (64-bit runtime)
Python platform: Linux-5.4.143.bsk.8-amd64-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 12.1.105
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA L40
GPU 1: NVIDIA L40
GPU 2: NVIDIA L40
GPU 3: NVIDIA L40

Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                    x86_64
CPU op-mode(s):                  32-bit, 64-bit
Byte Order:                      Little Endian
Address sizes:                   52 bits physical, 57 bits virtual
CPU(s):                          180
On-line CPU(s) list:             0-179
Thread(s) per core:              2
Core(s) per socket:              45
Socket(s):                       2
NUMA node(s):                    2
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           143
Model name:                      Intel(R) Xeon(R) Platinum 8457C
Stepping:                        8
CPU MHz:                         2599.520
BogoMIPS:                        5199.04
Hypervisor vendor:               KVM
Virtualization type:             full
L1d cache:                       4.2 MiB
L1i cache:                       2.8 MiB
L2 cache:                        180 MiB
L3 cache:                        195 MiB
NUMA node0 CPU(s):               0-89
NUMA node1 CPU(s):               90-179
Vulnerability Itlb multihit:     Not affected
Vulnerability L1tf:              Not affected
Vulnerability Mds:               Not affected
Vulnerability Meltdown:          Not affected
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:        Mitigation; Enhanced IBRS, IBPB conditional, RSB filling
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; TSX disabled
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 pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx512_bf16 wbnoinvd arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid cldemote movdiri movdir64b md_clear arch_capabilities

Versions of relevant libraries:
[pip3] byted-torch==2.1.0.post2
[pip3] numpy==1.26.2
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] torch==2.3.0
[pip3] torchaudio==2.1.0+cu121
[pip3] torchvision==0.18.0
[pip3] transformers==4.42.3
[pip3] triton==2.3.0
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.5.0.post1
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0    GPU1    GPU2    GPU3    NIC0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NODE    NODE    SYS     SYS     1,4-89  0               N/A
GPU1    NODE     X      NODE    SYS     SYS     1,4-89  0               N/A
GPU2    NODE    NODE     X      SYS     SYS     1,4-89  0               N/A
GPU3    SYS     SYS     SYS      X      SYS     91,94-179       1               N/A
NIC0    SYS     SYS     SYS     SYS      X 

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

NIC Legend:

  NIC0: mlx5_0

🐛 Describe the bug

When using L40 4-card inference, the following error occurs probabilistically：

 ERROR 07-10 09:23:56 multiproc_worker_utils.py:226] Exception in worker VllmWorkerProcess while processing method initialize_cache: [Errno 2] No such file or directory: '/root/.triton/cache/de758c429c9ff1f18930bbd9c3004506/fused_moe_kernel.json.tmp.pid_1528_587007', Traceback (most recent call last):
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/executor/multiproc_worker_utils.py", line 223, in _run_worker_process
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     output = executor(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/worker/worker.py", line 214, in initialize_cache
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     self._warm_up_model()
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/worker/worker.py", line 230, in _warm_up_model
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     self.model_runner.capture_model(self.gpu_cache)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return func(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/worker/model_runner.py", line 1109, in capture_model
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     graph_runner.capture(**capture_inputs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/worker/model_runner.py", line 1327, in capture
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     self.model(
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return self._call_impl(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return forward_call(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 482, in forward
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     hidden_states = self.model(input_ids, positions, kv_caches,
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return self._call_impl(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return forward_call(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 449, in forward
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     hidden_states, residual = layer(positions, hidden_states,
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return self._call_impl(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return forward_call(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 407, in forward
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     hidden_states = self.mlp(hidden_states)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return self._call_impl(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return forward_call(*args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 164, in forward
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     final_hidden_states = fused_experts(
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/layers/fused_moe/fused_moe.py", line 506, in fused_experts
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     invoke_fused_moe_kernel(intermediate_cache2,
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/vllm/model_executor/layers/fused_moe/fused_moe.py", line 246, in invoke_fused_moe_kernel
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     fused_moe_kernel[grid](
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/triton/runtime/jit.py", line 167, in <lambda>
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return lambda *args, **kwargs: self.run(grid=grid, warmup=False, *args, **kwargs)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/triton/runtime/jit.py", line 416, in run
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     self.cache[device][key] = compile(
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/triton/compiler/compiler.py", line 202, in compile
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return CompiledKernel(so_path, metadata_group.get(metadata_filename))
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/triton/compiler/compiler.py", line 230, in __init__
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     self.asm = {
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/local/lib/python3.9/dist-packages/triton/compiler/compiler.py", line 231, in <dictcomp>
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     file.suffix[1:]: file.read_bytes() if file.suffix[1:] == driver.binary_ext else file.read_text()
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/lib/python3.9/pathlib.py", line 1255, in read_text
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     with self.open(mode='r', encoding=encoding, errors=errors) as f:
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/lib/python3.9/pathlib.py", line 1241, in open
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return io.open(self, mode, buffering, encoding, errors, newline,
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]   File "/usr/lib/python3.9/pathlib.py", line 1109, in _opener
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226]     return self._accessor.open(self, flags, mode)
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226] FileNotFoundError: [Errno 2] No such file or directory: '/root/.triton/cache/de758c429c9ff1f18930bbd9c3004506/fused_moe_kernel.json.tmp.pid_1528_587007'
(VllmWorkerProcess pid=1527) ERROR 07-10 09:23:56 multiproc_worker_utils.py:226] 

[Grey4sh]

I encounterd the same problem when inference DeepSeekCoder-V2 on 8 A100s with the latest vLLM docker.

[liuyang8643]

same problem

[liuyang8643]

solved by reinstall the triton from source

[FlyCarrot]

Maybe use triton==2.2.0.
For me, it solved this problem.

[Grey4sh]

Maybe use triton==2.2.0. For me, it solved this problem.

It works for me.

[jeejeelee]

FYI: ##6140

[jdf-prog]

Also encounter this problem, triton==2.2.0 solves it. But it seems there are some version mismatch between torch. Don't know if that will cause some problems.

[jeejeelee]

@jdf-prog #6140 has addressed this issue, you can update the vllm version to try it out

[github-actions]

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[github-actions]

This issue has been automatically closed due to inactivity. Please feel free to reopen if you feel it is still relevant. Thank you!