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A high-throughput and memory-efficient inference and serving engine for LLMs
https://docs.vllm.ai
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[Bug]: `flash_attn_cuda.varlen_fwd` may output a bad result when enabling prefix caching #5678

Open syGOAT opened 5 months ago

syGOAT commented 5 months ago

Your current environment

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: Ubuntu 20.04.5 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.29.2
Libc version: glibc-2.31

Python version: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA L20
GPU 1: NVIDIA L20
GPU 2: NVIDIA L20
GPU 3: NVIDIA L20
GPU 4: NVIDIA L20
GPU 5: NVIDIA L20
GPU 6: NVIDIA L20
GPU 7: NVIDIA L20

Nvidia driver version: 550.54.14
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.6.0
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:                            2600.000
BogoMIPS:                           5200.00
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 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:      Unknown: No mitigations
Vulnerability Retbleed:             Not affected
Vulnerability Spec rstack overflow: 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, PBRSB-eIBRS SW sequence
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 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 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 avx_vnni avx512_bf16 wbnoinvd arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid cldemote movdiri movdir64b fsrm md_clear serialize tsxldtrk arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 arch_capabilities

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] torch==2.3.0
[pip3] triton==2.3.0
[pip3] vllm_nccl_cu12==2.18.1.0.4.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] nvidia-nccl-cu12          2.20.5                   pypi_0    pypi
[conda] torch                     2.3.0                    pypi_0    pypi
[conda] triton                    2.3.0                    pypi_0    pypi
[conda] vllm-nccl-cu12            2.18.1.0.4.0             pypi_0    pypiROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.5.0
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU1    SYS      X      SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU2    SYS     SYS      X      SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU3    SYS     SYS     SYS      X      SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU4    SYS     SYS     SYS     SYS      X      SYS     SYS     SYS     SYS     90-179  1               N/A
GPU5    SYS     SYS     SYS     SYS     SYS      X      SYS     SYS     SYS     90-179  1               N/A
GPU6    SYS     SYS     SYS     SYS     SYS     SYS      X      SYS     SYS     90-179  1               N/A
GPU7    SYS     SYS     SYS     SYS     SYS     SYS     SYS      X      SYS     90-179  1               N/A
NIC0    SYS     SYS     SYS     SYS     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

My command:

python -m vllm.entrypoints.openai.api_server --model /root/autodl-tmp/model/Meta-Llama-3-70B-Instruct --tensor-parallel-size 8 --port 8000 --served-model-name gpt-4 --distributed-executor-backend mp --enable-prefix-caching

The engine started. When some requests posted (maybe guided json request), something went wrong:

ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 265, in __call__
    await wrap(partial(self.listen_for_disconnect, receive))
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 261, in wrap
    await func()
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 238, in listen_for_disconnect
    message = await receive()
              ^^^^^^^^^^^^^^^
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/uvicorn/protocols/http/httptools_impl.py", line 568, in receive
    await self.message_event.wait()
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/asyncio/locks.py", line 213, in wait
    await fut
asyncio.exceptions.CancelledError: Cancelled by cancel scope 7f46fc926c50

During handling of the above exception, another exception occurred:

  + Exception Group Traceback (most recent call last):
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/uvicorn/protocols/http/httptools_impl.py", line 411, in run_asgi
  |     result = await app(  # type: ignore[func-returns-value]
  |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/uvicorn/middleware/proxy_headers.py", line 69, in __call__
  |     return await self.app(scope, receive, send)
  |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/fastapi/applications.py", line 1054, in __call__
  |     await super().__call__(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/applications.py", line 123, in __call__
  |     await self.middleware_stack(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/middleware/errors.py", line 186, in __call__
  |     raise exc
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/middleware/errors.py", line 164, in __call__
  |     await self.app(scope, receive, _send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/middleware/cors.py", line 85, in __call__
  |     await self.app(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 65, in __call__
  |     await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
  |     raise exc
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
  |     await app(scope, receive, sender)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 756, in __call__
  |     await self.middleware_stack(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 776, in app
  |     await route.handle(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 297, in handle
  |     await self.app(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 77, in app
  |     await wrap_app_handling_exceptions(app, request)(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
  |     raise exc
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
  |     await app(scope, receive, sender)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 75, in app
  |     await response(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 258, in __call__
  |     async with anyio.create_task_group() as task_group:
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 678, in __aexit__
  |     raise BaseExceptionGroup(
  | ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)
  +-+---------------- 1 ----------------
    | Traceback (most recent call last):
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 261, in wrap
    |     await func()
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 250, in stream_response
    |     async for chunk in self.body_iterator:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_chat.py", line 311, in chat_completion_stream_generator
    |     async for res in result_generator:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 670, in generate
    |     async for output in self._process_request(
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 777, in _process_request
    |     raise e
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 773, in _process_request
    |     async for request_output in stream:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 89, in __anext__
    |     raise result
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 42, in _log_task_completion
    |     return_value = task.result()
    |                    ^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 529, in run_engine_loop
    |     has_requests_in_progress = await asyncio.wait_for(
    |                                ^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/asyncio/tasks.py", line 489, in wait_for
    |     return fut.result()
    |            ^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 503, in engine_step
    |     request_outputs = await self.engine.step_async()
    |                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 235, in step_async
    |     output = await self.model_executor.execute_model_async(
    |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/executor/distributed_gpu_executor.py", line 166, in execute_model_async
    |     return await self._driver_execute_model_async(execute_model_req)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/executor/multiproc_gpu_executor.py", line 149, in _driver_execute_model_async
    |     return await self.driver_exec_model(execute_model_req)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/concurrent/futures/thread.py", line 58, in run
    |     result = self.fn(*self.args, **self.kwargs)
    |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    |     return func(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/worker/worker.py", line 272, in execute_model
    |     output = self.model_runner.execute_model(seq_group_metadata_list,
    |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    |     return func(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/worker/model_runner.py", line 738, in execute_model
    |     hidden_states = model_executable(
    |                     ^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 371, in forward
    |     hidden_states = self.model(input_ids, positions, kv_caches,
    |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 288, in forward
    |     hidden_states, residual = layer(
    |                               ^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 227, in forward
    |     hidden_states = self.self_attn(
    |                     ^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 161, in forward
    |     attn_output = self.attn(q, k, v, kv_cache, attn_metadata)
    |                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/attention/layer.py", line 89, in forward
    |     return self.impl.forward(query, key, value, kv_cache, attn_metadata,
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/attention/backends/flash_attn.py", line 338, in forward
    |     flash_attn_varlen_func(
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm_flash_attn/flash_attn_interface.py", line 1099, in flash_attn_varlen_func
    |     return FlashAttnVarlenFunc.apply(
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/autograd/function.py", line 598, in apply
    |     return super().apply(*args, **kwargs)  # type: ignore[misc]
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm_flash_attn/flash_attn_interface.py", line 596, in forward
    |     out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
    |                                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm_flash_attn/flash_attn_interface.py", line 88, in _flash_attn_varlen_forward
    |     out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
    |                                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
    | RuntimeError: out must have shape (total_q, num_heads, head_size_og)
    | 
    | The above exception was the direct cause of the following exception:
    | 
    | Traceback (most recent call last):
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 261, in wrap
    |     await func()
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 250, in stream_response
    |     async for chunk in self.body_iterator:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_chat.py", line 311, in chat_completion_stream_generator
    |     async for res in result_generator:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 670, in generate
    |     async for output in self._process_request(
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 764, in _process_request
    |     stream = await self.add_request(
    |              ^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 569, in add_request
    |     self.start_background_loop()
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 440, in start_background_loop
    |     raise AsyncEngineDeadError(
    | vllm.engine.async_llm_engine.AsyncEngineDeadError: Background loop has errored already.
    +------------------------------------
youkaichao commented 5 months ago

cc @Yard1

mpoemsl commented 5 months ago

I also reported a similar problem in #5537

codevoyager1984 commented 4 months ago

Same issue here, any progress 👀 ?

chenchunhui97 commented 3 months ago

same issue

zjjznw123 commented 3 months ago

Your current environment

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: Ubuntu 20.04.5 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.29.2
Libc version: glibc-2.31

Python version: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA L20
GPU 1: NVIDIA L20
GPU 2: NVIDIA L20
GPU 3: NVIDIA L20
GPU 4: NVIDIA L20
GPU 5: NVIDIA L20
GPU 6: NVIDIA L20
GPU 7: NVIDIA L20

Nvidia driver version: 550.54.14
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.6.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.6.0
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:                            2600.000
BogoMIPS:                           5200.00
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 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:      Unknown: No mitigations
Vulnerability Retbleed:             Not affected
Vulnerability Spec rstack overflow: 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, PBRSB-eIBRS SW sequence
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 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 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 avx_vnni avx512_bf16 wbnoinvd arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid cldemote movdiri movdir64b fsrm md_clear serialize tsxldtrk arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 arch_capabilities

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] torch==2.3.0
[pip3] triton==2.3.0
[pip3] vllm_nccl_cu12==2.18.1.0.4.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] nvidia-nccl-cu12          2.20.5                   pypi_0    pypi
[conda] torch                     2.3.0                    pypi_0    pypi
[conda] triton                    2.3.0                    pypi_0    pypi
[conda] vllm-nccl-cu12            2.18.1.0.4.0             pypi_0    pypiROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.5.0
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU1    SYS      X      SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU2    SYS     SYS      X      SYS     SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU3    SYS     SYS     SYS      X      SYS     SYS     SYS     SYS     SYS     0-89    0               N/A
GPU4    SYS     SYS     SYS     SYS      X      SYS     SYS     SYS     SYS     90-179  1               N/A
GPU5    SYS     SYS     SYS     SYS     SYS      X      SYS     SYS     SYS     90-179  1               N/A
GPU6    SYS     SYS     SYS     SYS     SYS     SYS      X      SYS     SYS     90-179  1               N/A
GPU7    SYS     SYS     SYS     SYS     SYS     SYS     SYS      X      SYS     90-179  1               N/A
NIC0    SYS     SYS     SYS     SYS     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

My command:

python -m vllm.entrypoints.openai.api_server --model /root/autodl-tmp/model/Meta-Llama-3-70B-Instruct --tensor-parallel-size 8 --port 8000 --served-model-name gpt-4 --distributed-executor-backend mp --enable-prefix-caching

The engine started. When some requests posted (maybe guided json request), something went wrong:

�[31mERROR�[0m:    Exception in ASGI application
Traceback (most recent call last):
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 265, in __call__
    await wrap(partial(self.listen_for_disconnect, receive))
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 261, in wrap
    await func()
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 238, in listen_for_disconnect
    message = await receive()
              ^^^^^^^^^^^^^^^
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/uvicorn/protocols/http/httptools_impl.py", line 568, in receive
    await self.message_event.wait()
  File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/asyncio/locks.py", line 213, in wait
    await fut
asyncio.exceptions.CancelledError: Cancelled by cancel scope 7f46fc926c50

During handling of the above exception, another exception occurred:

  + Exception Group Traceback (most recent call last):
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/uvicorn/protocols/http/httptools_impl.py", line 411, in run_asgi
  |     result = await app(  # type: ignore[func-returns-value]
  |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/uvicorn/middleware/proxy_headers.py", line 69, in __call__
  |     return await self.app(scope, receive, send)
  |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/fastapi/applications.py", line 1054, in __call__
  |     await super().__call__(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/applications.py", line 123, in __call__
  |     await self.middleware_stack(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/middleware/errors.py", line 186, in __call__
  |     raise exc
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/middleware/errors.py", line 164, in __call__
  |     await self.app(scope, receive, _send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/middleware/cors.py", line 85, in __call__
  |     await self.app(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 65, in __call__
  |     await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
  |     raise exc
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
  |     await app(scope, receive, sender)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 756, in __call__
  |     await self.middleware_stack(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 776, in app
  |     await route.handle(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 297, in handle
  |     await self.app(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 77, in app
  |     await wrap_app_handling_exceptions(app, request)(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
  |     raise exc
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
  |     await app(scope, receive, sender)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/routing.py", line 75, in app
  |     await response(scope, receive, send)
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 258, in __call__
  |     async with anyio.create_task_group() as task_group:
  |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 678, in __aexit__
  |     raise BaseExceptionGroup(
  | ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)
  +-+---------------- 1 ----------------
    | Traceback (most recent call last):
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 261, in wrap
    |     await func()
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 250, in stream_response
    |     async for chunk in self.body_iterator:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_chat.py", line 311, in chat_completion_stream_generator
    |     async for res in result_generator:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 670, in generate
    |     async for output in self._process_request(
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 777, in _process_request
    |     raise e
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 773, in _process_request
    |     async for request_output in stream:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 89, in __anext__
    |     raise result
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 42, in _log_task_completion
    |     return_value = task.result()
    |                    ^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 529, in run_engine_loop
    |     has_requests_in_progress = await asyncio.wait_for(
    |                                ^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/asyncio/tasks.py", line 489, in wait_for
    |     return fut.result()
    |            ^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 503, in engine_step
    |     request_outputs = await self.engine.step_async()
    |                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 235, in step_async
    |     output = await self.model_executor.execute_model_async(
    |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/executor/distributed_gpu_executor.py", line 166, in execute_model_async
    |     return await self._driver_execute_model_async(execute_model_req)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/executor/multiproc_gpu_executor.py", line 149, in _driver_execute_model_async
    |     return await self.driver_exec_model(execute_model_req)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/concurrent/futures/thread.py", line 58, in run
    |     result = self.fn(*self.args, **self.kwargs)
    |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    |     return func(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/worker/worker.py", line 272, in execute_model
    |     output = self.model_runner.execute_model(seq_group_metadata_list,
    |              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    |     return func(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/worker/model_runner.py", line 738, in execute_model
    |     hidden_states = model_executable(
    |                     ^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 371, in forward
    |     hidden_states = self.model(input_ids, positions, kv_caches,
    |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 288, in forward
    |     hidden_states, residual = layer(
    |                               ^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 227, in forward
    |     hidden_states = self.self_attn(
    |                     ^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 161, in forward
    |     attn_output = self.attn(q, k, v, kv_cache, attn_metadata)
    |                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    |     return self._call_impl(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    |     return forward_call(*args, **kwargs)
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/attention/layer.py", line 89, in forward
    |     return self.impl.forward(query, key, value, kv_cache, attn_metadata,
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/attention/backends/flash_attn.py", line 338, in forward
    |     flash_attn_varlen_func(
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm_flash_attn/flash_attn_interface.py", line 1099, in flash_attn_varlen_func
    |     return FlashAttnVarlenFunc.apply(
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/torch/autograd/function.py", line 598, in apply
    |     return super().apply(*args, **kwargs)  # type: ignore[misc]
    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm_flash_attn/flash_attn_interface.py", line 596, in forward
    |     out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
    |                                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm_flash_attn/flash_attn_interface.py", line 88, in _flash_attn_varlen_forward
    |     out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
    |                                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
    | RuntimeError: out must have shape (total_q, num_heads, head_size_og)
    | 
    | The above exception was the direct cause of the following exception:
    | 
    | Traceback (most recent call last):
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 261, in wrap
    |     await func()
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/starlette/responses.py", line 250, in stream_response
    |     async for chunk in self.body_iterator:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/entrypoints/openai/serving_chat.py", line 311, in chat_completion_stream_generator
    |     async for res in result_generator:
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 670, in generate
    |     async for output in self._process_request(
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 764, in _process_request
    |     stream = await self.add_request(
    |              ^^^^^^^^^^^^^^^^^^^^^^^
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 569, in add_request
    |     self.start_background_loop()
    |   File "/root/autodl-tmp/miniconda3/envs/vllm-py311/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 440, in start_background_loop
    |     raise AsyncEngineDeadError(
    | vllm.engine.async_llm_engine.AsyncEngineDeadError: Background loop has errored already.
    +------------------------------------

How was this solved? thank you

github-actions[bot] commented 6 days ago

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