Error: listen EADDRNOTAVAIL 192.168.0.144:8088问题解决

本文介绍了一个关于项目启动过程中遇到的问题及解决方案。作者在启动项目时遇到了无法启动的情况,通过检查发现是由于DHCP重新分配了IP地址导致的。解决方法是在index.js文件中将host更新为新的IP地址。

前一天启动项目还还好好的,第二天来发现项目启动不起来了。。。

npm run dev

 

解决:

输入ipconfig后发现 DHCP重新分配了IP,所以在index.js中将host修改为新的ip地址即可

gapinyc@DESKTOP-9QS7RL5:/mnt/c/Users/pc$ curl -v http://192.168.110.204:8080/AI-rotator.html curl -v http://192.168.110.204:8079/ * Trying 192.168.110.204:8080... * connect to 192.168.110.204 port 8080 failed: Connection refused * Failed to connect to 192.168.110.204 port 8080 after 0 ms: Connection refused * Closing connection 0 curl: (7) Failed to connect to 192.168.110.204 port 8080 after 0 ms: Connection refused * Trying 192.168.110.204:8079... * Connected to 192.168.110.204 (192.168.110.204) port 8079 (#0) > GET / HTTP/1.1 > Host: 192.168.110.204:8079 > User-Agent: curl/7.81.0 > Accept: */* > * Mark bundle as not supporting multiuse < HTTP/1.1 200 OK < Server: nginx/1.18.0 (Ubuntu) < Date: Thu, 27 Nov 2025 07:45:40 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 8366 < Connection: keep-alive < <!DOCTYPE html> <html lang="zh"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0"/> <title>🚚 智能配送看板</title> <link href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;700&display=swap" rel="stylesheet"> <style> * { margin: 0; padding: 0; box-sizing: border-box; } body { background: #0a1120; color: #e0f7fa; font-family: 'Roboto', sans-serif; overflow: hidden; height: 100vh; font-size: 14px; } .container { width: 95%; max-width: 1600px; margin: 20px auto; border-radius: 12px; overflow: hidden; box-shadow: 0 8px 20px rgba(0, 0, 0, 0.6); } header { background: #001f3f; color: #00eaff; padding: 12px 20px; font-weight: 700; letter-spacing: 1px; border-bottom: 1px solid #00eaff; display: flex; justify-content: space-between; align-items: center; } .title { white-space: nowrap; } .clock { font-size: 16px; color: #aaffff; } .scroll-container { height: calc(100vh - 120px); overflow: hidden; position: relative; } .scroll-dual { display: flex; flex-direction: column; transition: transform 0s; } .scroll-content { display: flex; flex-direction: column; } .waybill-item { background: rgba(13, 96, 144, 0.3); margin: 6px 8px; padding: 12px; border-radius: 10px; backdrop-filter: blur(6px); border: 1px solid rgba(0, 234, 255, 0.15); box-shadow: 0 3px 8px rgba(0, 0, 0, 0.3); } .driver-info { font-size: 16px; font-weight: bold; color: #00eaff; margin-bottom: 10px; display: flex; justify-content: space-between; align-items: center; } .waybill-id { font-size: 13px; color: #aaffff; } .progress-line { display: flex; align-items: center; } .stop-point { width: 24px; height: 24px; border-radius: 50%; margin: 0 6px; display: flex; justify-content: center; align-items: center; font-weight: bold; color: white; font-size: 12px; } .stop-point.completed { background: #52c41a; } .stop-point.current { background: #faad14; } .stop-point.upcoming { background: #cccccc; color: #333; } .line { flex-grow: 1; height: 3px; background: rgba(200, 200, 200, 0.4); border-radius: 1.5px; } .footer { text-align: center; padding: 10px; font-size: 12px; color: rgba(255, 255, 255, 0.7); background: rgba(0, 0, 0, 0.2); display: flex; justify-content: space-between; align-items: center; flex-wrap: wrap; gap: 5px; } .empty-state { text-align: center; padding: 40px 20px; color: #aaa; font-size: 16px; } </style> </head> <body> <div class="container"> <header> <div class="title">🚀 智能物流 · 实时配送看板</div> <div class="clock" id="clock">加载中...</div> </header> <div class="scroll-container" id="scrollContainer"> <div class="scroll-dual" id="dualContent"> <div class="scroll-content" id="content"></div> <div class="scroll-content" id="contentClone"></div> </div> </div> <div class="footer"> <span>📊 当前共 <strong id="totalCount">0</strong> 个配送任务</span> <span>最后更新: <span id="lastUpdate">加载中...</span></span> </div> </div> <script> const content = document.getElementById('content'); const contentClone = document.getElementById('contentClone'); const dualContent = document.getElementById('dualContent'); const totalCount = document.getElementById('totalCount'); const lastUpdate = document.getElementById('lastUpdate'); const clockEl = document.getElementById('clock'); let currentY = 0; let scrollInterval; // 更新时钟 function updateClock() { const now = new Date(); const dateStr = now.toLocaleDateString(); const timeStr = now.toLocaleTimeString(); const weekdays = ['周日', '周一', '周二', '周三', '周四', '周五', '周六']; const weekday = weekdays[now.getDay()]; clockEl.textContent = `${dateStr} ${timeStr} ${weekday}`; } setInterval(updateClock, 1000); updateClock(); // 获取数据 async function fetchData() { try { const res = await fetch('/api/data'); return await res.json(); } catch (err) { console.error("获取数据失败:", err); return []; } } // 渲染到指定元素 function renderToElement(el, data) { el.innerHTML = ''; if (!data || data.length === 0) { el.innerHTML = '<div class="empty-state">📭 当前无配送中的运单</div>'; return; } const fragment = document.createDocumentFragment(); data.forEach(order => { const item = document.createElement('div'); item.className = 'waybill-item'; item.dataset.waybillId = order.waybill_id; // 司机信息 const driverInfo = document.createElement('div'); driverInfo.className = 'driver-info'; const driverText = document.createElement('span'); driverText.textContent = `🚛 ${order.driver_name}`; const waybillId = document.createElement('span'); waybillId.className = 'waybill-id'; waybillId.textContent = `#${order.waybill_id}`; driverInfo.appendChild(driverText); driverInfo.appendChild(waybillId); // 进度条 const progressLine = document.createElement('div'); progressLine.className = 'progress-line'; (order.stops || []).forEach((stop, index) => { const point = document.createElement('div'); point.className = 'stop-point'; if (stop.is_completed) point.classList.add('completed'); else if (stop.is_current) point.classList.add('current'); else point.classList.add('upcoming'); point.textContent = stop.sort || (index + 1); progressLine.appendChild(point); // 添加连接线(最后一个不加) if (index < (order.stops?.length || 0) - 1) { const line = document.createElement('div'); line.className = 'line'; progressLine.appendChild(line); } }); item.appendChild(driverInfo); item.appendChild(progressLine); fragment.appendChild(item); }); el.appendChild(fragment); } // 启动无限滚动(匀速平滑) function startInfiniteScroll() { clearInterval(scrollInterval); scrollInterval = setInterval(() => { const singleHeight = content.scrollHeight; if (singleHeight <= 0) return; currentY += 1.5; // 滚动速度 dualContent.style.transform = `translateY(-${currentY}px)`; // 回到起点,实现无缝循环 if (currentY >= singleHeight * 2) { dualContent.style.transition = 'none'; dualContent.style.transform = 'translateY(0)'; currentY = 0; // 恢复过渡(保持性能) requestAnimationFrame(() => { requestAnimationFrame(() => { dualContent.style.transition = 'transform 0s'; }); }); } }, 50); // 每 50ms 移动一次 } // 初始化 async function init() { let data = await fetchData(); renderToElement(content, data); renderToElement(contentClone, data); totalCount.textContent = data.length; lastUpdate.textContent = new Date().toLocaleTimeString(); startInfiniteScroll(); // 每 10 秒自动刷新数据 setInterval(async () => { data = await fetchData(); renderToElement(content, data); renderToElement(contentClone, data); totalCount.textContent = data.length; lastUpdate.textContent = new Date().toLocaleTimeString(); }, 10000); } // 启动应用 init(); </script> </body> * Connection #0 to host 192.168.110.204 left intact </html>gapinyc@DESKTOP-9QS7RL5:/mnt/c/Users/pc$ ubuntu@VM-0-6-ubuntu:~$ sudo netstat -tulnp | grep -E ':(8080|8088|8079)' tcp 0 0 0.0.0.0:8088 0.0.0.0:* LISTEN 492708/sshd: ubuntu tcp 0 0 0.0.0.0:8080 0.0.0.0:* LISTEN 492708/sshd: ubuntu tcp6 0 0 :::8088 :::* LISTEN 492708/sshd: ubuntu tcp6 0 0 :::8080 :::* LISTEN 492708/sshd: ubuntu ubuntu@VM-0-6-ubuntu:~$ sudo netstat -tulnp | grep -E ':(8080|8079|8088)' tcp 0 0 0.0.0.0:8088 0.0.0.0:* LISTEN 492708/sshd: ubuntu tcp 0 0 0.0.0.0:8080 0.0.0.0:* LISTEN 492708/sshd: ubuntu tcp6 0 0 :::8088 :::* LISTEN 492708/sshd: ubuntu tcp6 0 0 :::8080 :::* LISTEN 492708/sshd: ubuntu ubuntu@VM-0-6-ubuntu:~$
最新发布
11-28
bash: docker: command not found [root@ac6b15bb1f77 mas]# python -m vllm.entrypoints.openai.api_server \ > --model /models/z50051264/summary/Qwen2.5-7B-awq/ \ > --max-num-seqs=256 \ > --max-model-len=4096 \ > --max-num-batched-tokens=4096 \ > --tensor-parallel-size=1 \ > --block-size=128 \ > --host=0.0.0.0 \ > --port=8080 \ > --gpu-memory-utilization=0.9 \ > --trust-remote-code \ > --served-model-name=zzz \ > --quantization awq INFO 07-25 03:09:14 [__init__.py:39] Available plugins for group vllm.platform_plugins: INFO 07-25 03:09:14 [__init__.py:41] - ascend -> vllm_ascend:register INFO 07-25 03:09:14 [__init__.py:44] All plugins in this group will be loaded. Set `VLLM_PLUGINS` to control which plugins to load. INFO 07-25 03:09:14 [__init__.py:235] Platform plugin ascend is activated WARNING 07-25 03:09:15 [_custom_ops.py:20] Failed to import from vllm._C with ModuleNotFoundError("No module named 'vllm._C'") INFO 07-25 03:09:18 [importing.py:63] Triton not installed or not compatible; certain GPU-related functions will not be available. WARNING 07-25 03:09:19 [registry.py:413] Model architecture DeepSeekMTPModel is already registered, and will be overwritten by the new model class vllm_ascend.models.deepseek_mtp:CustomDeepSeekMTP. WARNING 07-25 03:09:19 [registry.py:413] Model architecture Qwen2VLForConditionalGeneration is already registered, and will be overwritten by the new model class vllm_ascend.models.qwen2_vl:AscendQwen2VLForConditionalGeneration. WARNING 07-25 03:09:19 [registry.py:413] Model architecture Qwen2_5_VLForConditionalGeneration is already registered, and will be overwritten by the new model class vllm_ascend.models.qwen2_5_vl:AscendQwen2_5_VLForConditionalGeneration. WARNING 07-25 03:09:19 [registry.py:413] Model architecture DeepseekV2ForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.deepseek_v2:CustomDeepseekV2ForCausalLM. WARNING 07-25 03:09:19 [registry.py:413] Model architecture DeepseekV3ForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.deepseek_v2:CustomDeepseekV3ForCausalLM. WARNING 07-25 03:09:19 [registry.py:413] Model architecture Qwen3MoeForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.qwen3_moe:CustomQwen3MoeForCausalLM. INFO 07-25 03:09:20 [api_server.py:1395] vLLM API server version 0.9.2 INFO 07-25 03:09:20 [cli_args.py:325] non-default args: {'host': '0.0.0.0', 'port': 8080, 'model': '/models/z50051264/summary/Qwen2.5-7B-awq/', 'trust_remote_code': True, 'max_model_len': 4096, 'quantization': 'awq', 'served_model_name': ['zzz'], 'block_size': 128, 'max_num_batched_tokens': 4096, 'max_num_seqs': 256} INFO 07-25 03:09:34 [config.py:841] This model supports multiple tasks: {'generate', 'classify', 'embed', 'reward'}. Defaulting to 'generate'. INFO 07-25 03:09:34 [config.py:1472] Using max model len 4096 WARNING 07-25 03:09:35 [config.py:960] ascend quantization is not fully optimized yet. The speed can be slower than non-quantized models. INFO 07-25 03:09:35 [config.py:2285] Chunked prefill is enabled with max_num_batched_tokens=4096. INFO 07-25 03:09:35 [platform.py:174] PIECEWISE compilation enabled on NPU. use_inductor not supported - using only ACL Graph mode INFO 07-25 03:09:35 [utils.py:321] Calculated maximum supported batch sizes for ACL graph: 66 INFO 07-25 03:09:35 [utils.py:336] Adjusted ACL graph batch sizes for Qwen2ForCausalLM model (layers: 28): 67 → 66 sizes INFO 07-25 03:09:45 [__init__.py:39] Available plugins for group vllm.platform_plugins: INFO 07-25 03:09:45 [__init__.py:41] - ascend -> vllm_ascend:register INFO 07-25 03:09:45 [__init__.py:44] All plugins in this group will be loaded. Set `VLLM_PLUGINS` to control which plugins to load. INFO 07-25 03:09:45 [__init__.py:235] Platform plugin ascend is activated WARNING 07-25 03:09:46 [_custom_ops.py:20] Failed to import from vllm._C with ModuleNotFoundError("No module named 'vllm._C'") INFO 07-25 03:09:50 [importing.py:63] Triton not installed or not compatible; certain GPU-related functions will not be available. INFO 07-25 03:09:50 [core.py:526] Waiting for init message from front-end. WARNING 07-25 03:09:50 [registry.py:413] Model architecture DeepSeekMTPModel is already registered, and will be overwritten by the new model class vllm_ascend.models.deepseek_mtp:CustomDeepSeekMTP. WARNING 07-25 03:09:50 [registry.py:413] Model architecture Qwen2VLForConditionalGeneration is already registered, and will be overwritten by the new model class vllm_ascend.models.qwen2_vl:AscendQwen2VLForConditionalGeneration. WARNING 07-25 03:09:50 [registry.py:413] Model architecture Qwen2_5_VLForConditionalGeneration is already registered, and will be overwritten by the new model class vllm_ascend.models.qwen2_5_vl:AscendQwen2_5_VLForConditionalGeneration. WARNING 07-25 03:09:50 [registry.py:413] Model architecture DeepseekV2ForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.deepseek_v2:CustomDeepseekV2ForCausalLM. WARNING 07-25 03:09:50 [registry.py:413] Model architecture DeepseekV3ForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.deepseek_v2:CustomDeepseekV3ForCausalLM. WARNING 07-25 03:09:50 [registry.py:413] Model architecture Qwen3MoeForCausalLM is already registered, and will be overwritten by the new model class vllm_ascend.models.qwen3_moe:CustomQwen3MoeForCausalLM. INFO 07-25 03:09:50 [core.py:69] Initializing a V1 LLM engine (v0.9.2) with config: model='/models/z50051264/summary/Qwen2.5-7B-awq/', speculative_config=None, tokenizer='/models/z50051264/summary/Qwen2.5-7B-awq/', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=4096, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=True, quantization=ascend, enforce_eager=False, kv_cache_dtype=auto, device_config=npu, decoding_config=DecodingConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_backend=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=zzz, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":["all"],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output","vllm.unified_ascend_attention_with_output"],"use_inductor":false,"compile_sizes":[],"inductor_compile_config":{},"inductor_passes":{},"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"max_capture_size":512,"local_cache_dir":null} ERROR 07-25 03:09:53 [core.py:586] EngineCore failed to start. ERROR 07-25 03:09:53 [core.py:586] Traceback (most recent call last): ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm/vllm/v1/engine/core.py", line 577, in run_engine_core ERROR 07-25 03:09:53 [core.py:586] engine_core = EngineCoreProc(*args, **kwargs) ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm/vllm/v1/engine/core.py", line 404, in __init__ ERROR 07-25 03:09:53 [core.py:586] super().__init__(vllm_config, executor_class, log_stats, ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm/vllm/v1/engine/core.py", line 75, in __init__ ERROR 07-25 03:09:53 [core.py:586] self.model_executor = executor_class(vllm_config) ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm/vllm/executor/executor_base.py", line 53, in __init__ ERROR 07-25 03:09:53 [core.py:586] self._init_executor() ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm/vllm/executor/uniproc_executor.py", line 47, in _init_executor ERROR 07-25 03:09:53 [core.py:586] self.collective_rpc("init_device") ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm/vllm/executor/uniproc_executor.py", line 57, in collective_rpc ERROR 07-25 03:09:53 [core.py:586] answer = run_method(self.driver_worker, method, args, kwargs) ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm/vllm/utils/__init__.py", line 2736, in run_method ERROR 07-25 03:09:53 [core.py:586] return func(*args, **kwargs) ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm/vllm/worker/worker_base.py", line 606, in init_device ERROR 07-25 03:09:53 [core.py:586] self.worker.init_device() # type: ignore ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm-ascend/vllm_ascend/worker/worker_v1.py", line 132, in init_device ERROR 07-25 03:09:53 [core.py:586] NPUPlatform.set_device(device) ERROR 07-25 03:09:53 [core.py:586] File "/vllm-workspace/vllm-ascend/vllm_ascend/platform.py", line 98, in set_device ERROR 07-25 03:09:53 [core.py:586] torch.npu.set_device(device) ERROR 07-25 03:09:53 [core.py:586] File "/usr/local/python3.10.17/lib/python3.10/site-packages/torch_npu/npu/utils.py", line 80, in set_device ERROR 07-25 03:09:53 [core.py:586] torch_npu._C._npu_setDevice(device_id) ERROR 07-25 03:09:53 [core.py:586] RuntimeError: SetPrecisionMode:build/CMakeFiles/torch_npu.dir/compiler_depend.ts:156 NPU function error: at_npu::native::AclSetCompileopt(aclCompileOpt::ACL_PRECISION_MODE, precision_mode), error code is 500001 ERROR 07-25 03:09:53 [core.py:586] [ERROR] 2025-07-25-03:09:53 (PID:977, Device:0, RankID:-1) ERR00100 PTA call acl api failed ERROR 07-25 03:09:53 [core.py:586] [Error]: The internal ACL of the system is incorrect. ERROR 07-25 03:09:53 [core.py:586] Rectify the fault based on the error information in the ascend log. ERROR 07-25 03:09:53 [core.py:586] EC0010: [PID: 977] 2025-07-25-03:09:53.177.260 Failed to import Python module [AttributeError: `np.float_` was removed in the NumPy 2.0 release. Use `np.float64` instead..]. ERROR 07-25 03:09:53 [core.py:586] Solution: Check that all required components are properly installed and the specified Python path matches the Python installation directory. (If the path does not match the directory, run set_env.sh in the installation package.) ERROR 07-25 03:09:53 [core.py:586] TraceBack (most recent call last): ERROR 07-25 03:09:53 [core.py:586] AOE Failed to call InitCannKB[FUNC:Initialize][FILE:python_adapter_manager.cc][LINE:47] ERROR 07-25 03:09:53 [core.py:586] Failed to initialize TeConfigInfo. ERROR 07-25 03:09:53 [core.py:586] [GraphOpt][InitializeInner][InitTbeFunc] Failed to init tbe.[FUNC:InitializeTeFusion][FILE:tbe_op_store_adapter.cc][LINE:1889] ERROR 07-25 03:09:53 [core.py:586] [GraphOpt][InitializeInner][InitTeFusion]: Failed to initialize TeFusion.[FUNC:InitializeInner][FILE:tbe_op_store_adapter.cc][LINE:1856] ERROR 07-25 03:09:53 [core.py:586] [SubGraphOpt][PreCompileOp][InitAdapter] InitializeAdapter adapter [tbe_op_adapter] failed! Ret [4294967295][FUNC:InitializeAdapter][FILE:op_store_adapter_manager.cc][LINE:79] ERROR 07-25 03:09:53 [core.py:586] [SubGraphOpt][PreCompileOp][Init] Initialize op store adapter failed, OpsStoreName[tbe-custom].[FUNC:Initialize][FILE:op_store_adapter_manager.cc][LINE:120] ERROR 07-25 03:09:53 [core.py:586] [FusionMngr][Init] Op store adapter manager init failed.[FUNC:Initialize][FILE:fusion_manager.cc][LINE:115] ERROR 07-25 03:09:53 [core.py:586] PluginManager InvokeAll failed.[FUNC:Initialize][FILE:ops_kernel_manager.cc][LINE:83] ERROR 07-25 03:09:53 [core.py:586] OpsManager initialize failed.[FUNC:InnerInitialize][FILE:gelib.cc][LINE:259] ERROR 07-25 03:09:53 [core.py:586] GELib::InnerInitialize failed.[FUNC:Initialize][FILE:gelib.cc][LINE:184] ERROR 07-25 03:09:53 [core.py:586] GEInitialize failed.[FUNC:GEInitialize][FILE:ge_api.cc][LINE:371] ERROR 07-25 03:09:53 [core.py:586] [Initialize][Ge]GEInitialize failed. ge result = 4294967295[FUNC:ReportCallError][FILE:log_inner.cpp][LINE:161] ERROR 07-25 03:09:53 [core.py:586] [Init][Compiler]Init compiler failed[FUNC:ReportInnerError][FILE:log_inner.cpp][LINE:145] ERROR 07-25 03:09:53 [core.py:586] [Set][Options]OpCompileProcessor init failed![FUNC:ReportInnerError][FILE:log_inner.cpp][LINE:145] ERROR 07-25 03:09:53 [core.py:586] Process EngineCore_0: Traceback (most recent call last): File "/usr/local/python3.10.17/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/usr/local/python3.10.17/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/vllm-workspace/vllm/vllm/v1/engine/core.py", line 590, in run_engine_core raise e File "/vllm-workspace/vllm/vllm/v1/engine/core.py", line 577, in run_engine_core engine_core = EngineCoreProc(*args, **kwargs) File "/vllm-workspace/vllm/vllm/v1/engine/core.py", line 404, in __init__ super().__init__(vllm_config, executor_class, log_stats, File "/vllm-workspace/vllm/vllm/v1/engine/core.py", line 75, in __init__ self.model_executor = executor_class(vllm_config) File "/vllm-workspace/vllm/vllm/executor/executor_base.py", line 53, in __init__ self._init_executor() File "/vllm-workspace/vllm/vllm/executor/uniproc_executor.py", line 47, in _init_executor self.collective_rpc("init_device") File "/vllm-workspace/vllm/vllm/executor/uniproc_executor.py", line 57, in collective_rpc answer = run_method(self.driver_worker, method, args, kwargs) File "/vllm-workspace/vllm/vllm/utils/__init__.py", line 2736, in run_method return func(*args, **kwargs) File "/vllm-workspace/vllm/vllm/worker/worker_base.py", line 606, in init_device self.worker.init_device() # type: ignore File "/vllm-workspace/vllm-ascend/vllm_ascend/worker/worker_v1.py", line 132, in init_device NPUPlatform.set_device(device) File "/vllm-workspace/vllm-ascend/vllm_ascend/platform.py", line 98, in set_device torch.npu.set_device(device) File "/usr/local/python3.10.17/lib/python3.10/site-packages/torch_npu/npu/utils.py", line 80, in set_device torch_npu._C._npu_setDevice(device_id) RuntimeError: SetPrecisionMode:build/CMakeFiles/torch_npu.dir/compiler_depend.ts:156 NPU function error: at_npu::native::AclSetCompileopt(aclCompileOpt::ACL_PRECISION_MODE, precision_mode), error code is 500001 [ERROR] 2025-07-25-03:09:53 (PID:977, Device:0, RankID:-1) ERR00100 PTA call acl api failed [Error]: The internal ACL of the system is incorrect. Rectify the fault based on the error information in the ascend log. EC0010: [PID: 977] 2025-07-25-03:09:53.177.260 Failed to import Python module [AttributeError: `np.float_` was removed in the NumPy 2.0 release. Use `np.float64` instead..]. Solution: Check that all required components are properly installed and the specified Python path matches the Python installation directory. (If the path does not match the directory, run set_env.sh in the installation package.) TraceBack (most recent call last): AOE Failed to call InitCannKB[FUNC:Initialize][FILE:python_adapter_manager.cc][LINE:47] Failed to initialize TeConfigInfo. [GraphOpt][InitializeInner][InitTbeFunc] Failed to init tbe.[FUNC:InitializeTeFusion][FILE:tbe_op_store_adapter.cc][LINE:1889] [GraphOpt][InitializeInner][InitTeFusion]: Failed to initialize TeFusion.[FUNC:InitializeInner][FILE:tbe_op_store_adapter.cc][LINE:1856] [SubGraphOpt][PreCompileOp][InitAdapter] InitializeAdapter adapter [tbe_op_adapter] failed! Ret [4294967295][FUNC:InitializeAdapter][FILE:op_store_adapter_manager.cc][LINE:79] [SubGraphOpt][PreCompileOp][Init] Initialize op store adapter failed, OpsStoreName[tbe-custom].[FUNC:Initialize][FILE:op_store_adapter_manager.cc][LINE:120] [FusionMngr][Init] Op store adapter manager init failed.[FUNC:Initialize][FILE:fusion_manager.cc][LINE:115] PluginManager InvokeAll failed.[FUNC:Initialize][FILE:ops_kernel_manager.cc][LINE:83] OpsManager initialize failed.[FUNC:InnerInitialize][FILE:gelib.cc][LINE:259] GELib::InnerInitialize failed.[FUNC:Initialize][FILE:gelib.cc][LINE:184] GEInitialize failed.[FUNC:GEInitialize][FILE:ge_api.cc][LINE:371] [Initialize][Ge]GEInitialize failed. ge result = 4294967295[FUNC:ReportCallError][FILE:log_inner.cpp][LINE:161] [Init][Compiler]Init compiler failed[FUNC:ReportInnerError][FILE:log_inner.cpp][LINE:145] [Set][Options]OpCompileProcessor init failed![FUNC:ReportInnerError][FILE:log_inner.cpp][LINE:145] Traceback (most recent call last): File "/usr/local/python3.10.17/lib/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/local/python3.10.17/lib/python3.10/runpy.py", line 86, in _run_code exec(code, run_globals) File "/vllm-workspace/vllm/vllm/entrypoints/openai/api_server.py", line 1495, in <module> uvloop.run(run_server(args)) File "/usr/local/python3.10.17/lib/python3.10/site-packages/uvloop/__init__.py", line 82, in run return loop.run_until_complete(wrapper()) File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete File "/usr/local/python3.10.17/lib/python3.10/site-packages/uvloop/__init__.py", line 61, in wrapper return await main File "/vllm-workspace/vllm/vllm/entrypoints/openai/api_server.py", line 1431, in run_server await run_server_worker(listen_address, sock, args, **uvicorn_kwargs) File "/vllm-workspace/vllm/vllm/entrypoints/openai/api_server.py", line 1451, in run_server_worker async with build_async_engine_client(args, client_config) as engine_client: File "/usr/local/python3.10.17/lib/python3.10/contextlib.py", line 199, in __aenter__ return await anext(self.gen) File "/vllm-workspace/vllm/vllm/entrypoints/openai/api_server.py", line 158, in build_async_engine_client async with build_async_engine_client_from_engine_args( File "/usr/local/python3.10.17/lib/python3.10/contextlib.py", line 199, in __aenter__ return await anext(self.gen) File "/vllm-workspace/vllm/vllm/entrypoints/openai/api_server.py", line 194, in build_async_engine_client_from_engine_args async_llm = AsyncLLM.from_vllm_config( File "/vllm-workspace/vllm/vllm/v1/engine/async_llm.py", line 162, in from_vllm_config return cls( File "/vllm-workspace/vllm/vllm/v1/engine/async_llm.py", line 124, in __init__ self.engine_core = EngineCoreClient.make_async_mp_client( File "/vllm-workspace/vllm/vllm/v1/engine/core_client.py", line 96, in make_async_mp_client return AsyncMPClient(*client_args) File "/vllm-workspace/vllm/vllm/v1/engine/core_client.py", line 666, in __init__ super().__init__( File "/vllm-workspace/vllm/vllm/v1/engine/core_client.py", line 403, in __init__ with launch_core_engines(vllm_config, executor_class, File "/usr/local/python3.10.17/lib/python3.10/contextlib.py", line 142, in __exit__ next(self.gen) File "/vllm-workspace/vllm/vllm/v1/engine/utils.py", line 434, in launch_core_engines wait_for_engine_startup( File "/vllm-workspace/vllm/vllm/v1/engine/utils.py", line 484, in wait_for_engine_startup raise RuntimeError("Engine core initialization failed. " RuntimeError: Engine core initialization failed. See root cause above. Failed core proc(s): {} [ERROR] 2025-07-25-03:09:59 (PID:707, Device:-1, RankID:-1) ERR99999 UNKNOWN applicaiton exception 分析报错
07-26
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