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xorbitsai / inference

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
https://inference.readthedocs.io
Apache License 2.0
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File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 402, in verify_with_parallel_config if total_num_attention_heads % tensor_parallel_size != 0: ZeroDivisionError: [address=0.0.0.0:39009, pid=1112] integer division or modulo by zero #2303

Open alanOO7 opened 1 week ago

alanOO7 commented 1 week ago

System Info / 系統信息

docker latest 版本 系统ubunt 24lts ，宿主 安装了cuda12.4 2024-09-13 11:23:17,673 xinference.core.worker 108 INFO [request 3f6fd318-71fd-11ef-a59f-0242ac110002] Enter launch_builtin_model, args: <xinference.core.worker.WorkerActor object at 0x7a2411034e00>, kwargs: model_uid=qwen2-instruct-GRhW312s-1-0,model_name=qwen2-instruct,model_size_in_billions=7,model_format=pytorch,quantization=none,model_engine=vLLM,model_type=LLM,n_gpu=auto,request_limits=None,peft_model_config=None,gpu_idx=None,download_hub=None,model_path=None 2024-09-13 11:23:21,469 xinference.model.llm.llm_family 108 INFO Caching from Modelscope: qwen/Qwen2-7B-Instruct 2024-09-13 11:23:21,469 xinference.model.llm.llm_family 108 INFO Cache /root/xinference/cache/qwen2-instruct-pytorch-7b exists /usr/local/lib/python3.10/dist-packages/torch/cuda/init.py:654: UserWarning: Can't initialize NVML warnings.warn("Can't initialize NVML") 2024-09-13 11:23:21,486 xinference.model.llm.vllm.core 1112 INFO Loading qwen2-instruct-GRhW312s with following model config: {'tokenizer_mode': 'auto', 'trust_remote_code': True, 'tensor_parallel_size': 0, 'block_size': 16, 'swap_space': 4, 'gpu_memory_utilization': 0.9, 'max_num_seqs': 256, 'quantization': None, 'max_model_len': 4096}Enable lora: False. Lora count: 0. 2024-09-13 11:23:21,488 transformers.configuration_utils 1112 INFO loading configuration file /root/xinference/cache/qwen2-instruct-pytorch-7b/config.json 2024-09-13 11:23:21,489 transformers.configuration_utils 1112 INFO Model config Qwen2Config { "_name_or_path": "/root/xinference/cache/qwen2-instruct-pytorch-7b", "architectures": [ "Qwen2ForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 3584, "initializer_range": 0.02, "intermediate_size": 18944, "max_position_embeddings": 32768, "max_window_layers": 28, "model_type": "qwen2", "num_attention_heads": 28, "num_hidden_layers": 28, "num_key_value_heads": 4, "rms_norm_eps": 1e-06, "rope_theta": 1000000.0, "sliding_window": null, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.43.4", "use_cache": true, "use_sliding_window": false, "vocab_size": 152064 }

2024-09-13 11:23:21,489 transformers.models.auto.image_processing_auto 1112 INFO Could not locate the image processor configuration file, will try to use the model config instead. 2024-09-13 11:23:21,491 xinference.core.worker 108 ERROR Failed to load model qwen2-instruct-GRhW312s-1-0 Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/xinference/core/worker.py", line 893, in launch_builtin_model await model_ref.load() File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 231, in send return self._process_result_message(result) File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 102, in _process_result_message raise message.as_instanceof_cause() File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 656, in send result = await self._run_coro(message.message_id, coro) File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 367, in _run_coro return await coro File "/usr/local/lib/python3.10/dist-packages/xoscar/api.py", line 384, in on_receive return await super().on_receive(message) # type: ignore File "xoscar/core.pyx", line 558, in on_receive__ raise ex File "xoscar/core.pyx", line 520, in xoscar.core._BaseActor.on_receive async with self._lock: File "xoscar/core.pyx", line 521, in xoscar.core._BaseActor.on_receive with debug_async_timeout('actor_lock_timeout', File "xoscar/core.pyx", line 526, in xoscar.core._BaseActor.__on_receive result = await result File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 309, in load self._model.load() File "/usr/local/lib/python3.10/dist-packages/xinference/model/llm/vllm/core.py", line 240, in load self._engine = AsyncLLMEngine.from_engine_args(engine_args) File "/usr/local/lib/python3.10/dist-packages/vllm/engine/async_llm_engine.py", line 726, in from_engine_args engine_config = engine_args.create_engine_config() File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 997, in create_engine_config return EngineConfig( File "", line 14, in init File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 1863, in post_init__ self.model_config.verify_with_parallel_config(self.parallel_config) File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 402, in verify_with_parallel_config if total_num_attention_heads % tensor_parallel_size != 0: ZeroDivisionError: [address=0.0.0.0:39009, pid=1112] integer division or modulo by zero 2024-09-13 11:23:21,514 xinference.core.worker 108 ERROR [request 3f6fd318-71fd-11ef-a59f-0242ac110002] Leave launch_builtin_model, error: [address=0.0.0.0:39009, pid=1112] integer division or modulo by zero, elapsed time: 3 s Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/xinference/core/utils.py", line 69, in wrapped ret = await func(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/xinference/core/worker.py", line 893, in launch_builtin_model await model_ref.load() File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 231, in send return self._process_result_message(result) File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 102, in _process_result_message raise message.as_instanceof_cause() File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 656, in send result = await self._run_coro(message.message_id, coro) File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 367, in _run_coro return await coro File "/usr/local/lib/python3.10/dist-packages/xoscar/api.py", line 384, in on_receive return await super().on_receive(message) # type: ignore File "xoscar/core.pyx", line 558, in on_receive raise ex File "xoscar/core.pyx", line 520, in xoscar.core._BaseActor.__on_receive async with self._lock: File "xoscar/core.pyx", line 521, in xoscar.core._BaseActor.on_receive__ with debug_async_timeout('actor_lock_timeout', File "xoscar/core.pyx", line 526, in xoscar.core._BaseActor.on_receive result = await result File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 309, in load self._model.load() File "/usr/local/lib/python3.10/dist-packages/xinference/model/llm/vllm/core.py", line 240, in load self._engine = AsyncLLMEngine.from_engine_args(engine_args) File "/usr/local/lib/python3.10/dist-packages/vllm/engine/async_llm_engine.py", line 726, in from_engine_args engine_config = engine_args.create_engine_config() File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 997, in create_engine_config return EngineConfig( File "", line 14, in init File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 1863, in post_init self.model_config.verify_with_parallel_config(self.parallel_config) File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 402, in verify_with_parallel_config if total_num_attention_heads % tensor_parallel_size != 0: ZeroDivisionError: [address=0.0.0.0:39009, pid=1112] integer division or modulo by zero 2024-09-13 11:23:21,520 xinference.api.restful_api 1 ERROR [address=0.0.0.0:39009, pid=1112] integer division or modulo by zero Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/xinference/api/restful_api.py", line 876, in launch_model model_uid = await (await self._get_supervisor_ref()).launch_builtin_model( File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 231, in send return self._process_result_message(result) File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 102, in _process_result_message raise message.as_instanceof_cause() File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 656, in send result = await self._run_coro(message.message_id, coro) File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 367, in _run_coro return await coro File "/usr/local/lib/python3.10/dist-packages/xoscar/api.py", line 384, in __on_receive return await super().on_receive(message) # type: ignore File "xoscar/core.pyx", line 558, in on_receive raise ex File "xoscar/core.pyx", line 520, in xoscar.core._BaseActor.on_receive async with self._lock: File "xoscar/core.pyx", line 521, in xoscar.core._BaseActor.on_receive with debug_async_timeout('actor_lock_timeout', File "xoscar/core.pyx", line 526, in xoscar.core._BaseActor.on_receive__ result = await result File "/usr/local/lib/python3.10/dist-packages/xinference/core/supervisor.py", line 1026, in launch_builtin_model await _launch_model() File "/usr/local/lib/python3.10/dist-packages/xinference/core/supervisor.py", line 990, in _launch_model await _launch_one_model(rep_model_uid) File "/usr/local/lib/python3.10/dist-packages/xinference/core/supervisor.py", line 969, in _launch_one_model await worker_ref.launch_builtin_model( File "xoscar/core.pyx", line 284, in pyx_actor_method_wrapper async with lock: File "xoscar/core.pyx", line 287, in xoscar.core.pyx_actor_method_wrapper result = await result File "/usr/local/lib/python3.10/dist-packages/xinference/core/utils.py", line 69, in wrapped ret = await func(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/xinference/core/worker.py", line 893, in launch_builtin_model await model_ref.load() File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 231, in send return self._process_result_message(result) File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/context.py", line 102, in _process_result_message raise message.as_instanceof_cause() File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 656, in send result = await self._run_coro(message.message_id, coro) File "/usr/local/lib/python3.10/dist-packages/xoscar/backends/pool.py", line 367, in _run_coro return await coro File "/usr/local/lib/python3.10/dist-packages/xoscar/api.py", line 384, in __on_receive return await super().on_receive(message) # type: ignore File "xoscar/core.pyx", line 558, in on_receive raise ex File "xoscar/core.pyx", line 520, in xoscar.core._BaseActor.on_receive async with self._lock: File "xoscar/core.pyx", line 521, in xoscar.core._BaseActor.on_receive with debug_async_timeout('actor_lock_timeout', File "xoscar/core.pyx", line 526, in xoscar.core._BaseActor.on_receive result = await result File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 309, in load self._model.load() File "/usr/local/lib/python3.10/dist-packages/xinference/model/llm/vllm/core.py", line 240, in load self._engine = AsyncLLMEngine.from_engine_args(engine_args) File "/usr/local/lib/python3.10/dist-packages/vllm/engine/async_llm_engine.py", line 726, in from_engine_args engine_config = engine_args.create_engine_config() File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 997, in create_engine_config return EngineConfig( File "", line 14, in init File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 1863, in post_init self.model_config.verify_with_parallel_config(self.parallel_config) File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 402, in verify_with_parallel_config if total_num_attention_heads % tensor_parallel_size != 0: ZeroDivisionError: [address=0.0.0.0:39009, pid=1112] integer division or modulo by zero

Running Xinference with Docker? / 是否使用 Docker 运行 Xinfernece？

Version info / 版本信息

latest

The command used to start Xinference / 用以启动 xinference 的命令

docker run -v /home/mcn/xinference:/root/xinference -e XINFERENCE_HOME=/root/xinference -p 9998:9997 --gpus all xprobe/xinference:latest xinference-local -H 0.0.0.0

Reproduction / 复现过程

qwen2-instruct vllm pytorch 7 none auto 1 点确定后报错 Server error: 500 - [address=0.0.0.0:39009, pid=1112] integer division or modulo by zero

Expected behavior / 期待表现

期待解答

github-actions[bot] commented 1 day ago

This issue is stale because it has been open for 7 days with no activity.