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饥荒网站这么做,房地产开发公司怎么注册,广州注册公司地址,小公司做网站还是微博BG#xff1a;之前在另外一台离线服务器#xff08;虚拟机#xff09;#xff0c;相同的conda环境#xff0c;运行脚本无报错#xff1b;conda环境迁移后#xff0c;使用相同的环境和代码#xff08;python3.9.0 easyocr1.7.2#xff09;运行脚本。日志发现最后一行报…BG之前在另外一台离线服务器虚拟机相同的conda环境运行脚本无报错conda环境迁移后使用相同的环境和代码python3.9.0 easyocr1.7.2运行脚本。日志发现最后一行报错如下[2025-12-16 05:35:53] [WARNING] Neither CUDA nor MPS are available - defaulting to CPU. Note: This module is much faster with a GPU. [W1216 05:36:01.540097613 NNPACK.cpp:61] Could not initialize NNPACK! Reason: Unsupported hardware.ps -ef | grep 查看py程序已经挂掉。排查步骤1. 可能是easyocr有问题但脚本执行没有问题(ocr) ubuntuxcznmz-1112:/opt/lung_data$ python - EOF import torch print(torch imported) x torch.randn(2,3) y torch.mm(x, x.T) print(torch mm ok) EOFtorch importedtorch mm ok(ocr) ubuntuxcznmz-1112:/opt/lung_data$ python - EOF import easyocr reader easyocr.Reader([en], model_storage_directory./model, user_network_directory./model, download_enabled False, gpu False) print(easyocr ok) EOF Using CPU. Note: This module is much faster with a GPU.easyocr ok2. github发现有相似报错推荐降低torch版本但是我是离线服务器不好修改conda环境不想动环境。3. 排查CPU 指令集兼容性lscpu | grep -E Model name|Flags发现缺少CPU指令集 AVX尝试脚本开头增加环境变量设置# -*- coding: utf-8 -*-import osimport sysos.environ[NNPACK_DISABLE] 1os.environ[OMP_NUM_THREADS] 2 # 对于双核CPUos.environ[MKL_NUM_THREADS] 2os.environ[OPENBLAS_NUM_THREADS] 2import resource resource.setrlimit(resource.RLIMIT_AS, (4 * 1024**3, 4 * 1024**3)) # 4GB虚拟内存限制新的报错visit_date2025-11-16 16:39:40, 错误[enforce fail at alloc_cpu.cpp:117] err 0. DefaultCPUAllocator: cant allocate memory: you tried to allocate 9437184 bytes. Error code 12 (Cannot allocate memory) Traceback (most recent call last): File /opt/lung_data/lung_main.py, line 843, in process_patients result ocr(record) File /opt/lung_data/lung_main.py, line 285, in ocr reader_chi easyocr.Reader([ch_sim], model_storage_directory./model, user_network_directory./model, download_enabledFalse, gpuFalse) File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/easyocr/easyocr.py, line 214, in __init__ self.detector self.initDetector(detector_path) File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/easyocr/easyocr.py, line 271, in initDetector return self.get_detector(detector_path, File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/easyocr/detection.py, line 75, in get_detector net CRAFT() File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/easyocr/craft.py, line 35, in __init__ self.basenet vgg16_bn(pretrained, freeze) File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/easyocr/model/modules.py, line 27, in __init__ vgg_pretrained_features models.vgg16_bn( File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/torchvision/models/_utils.py, line 142, in wrapper return fn(*args, **kwargs) File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/torchvision/models/_utils.py, line 228, in inner_wrapper return builder(*args, **kwargs) File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/torchvision/models/vgg.py, line 459, in vgg16_bn return _vgg(D, True, weights, progress, **kwargs) File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/torchvision/models/vgg.py, line 103, in _vgg model VGG(make_layers(cfgs[cfg], batch_normbatch_norm), **kwargs) File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/torchvision/models/vgg.py, line 81, in make_layers conv2d nn.Conv2d(in_channels, v, kernel_size3, padding1) File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/torch/nn/modules/conv.py, line 521, in __init__ super().__init__( File /home/ubuntu/anaconda3/envs/ocr/lib/python3.9/site-packages/torch/nn/modules/conv.py, line 166, in __init__ torch.empty( RuntimeError: [enforce fail at alloc_cpu.cpp:117] err 0. DefaultCPUAllocator: cant allocate memory: you tried to allocate 9437184 bytes. Error code 12 (Cannot allocate memory)尝试修改代码EasyOCR Reader 只创建一次但是仍然出现上述两个报错。4. 尝试将新服务器启用host cpu重启后运行脚本虽然还是报Could not initialize NNPACK! Reason: Unsupported hardware.但是py脚本并没有挂掉——解决将脚本开头的环境变量注释掉仍然正常运行未出现脚本挂掉的情况import os import sys os.environ[NNPACK_DISABLE] 1 # os.environ[OMP_NUM_THREADS] 1 # 单线程最稳定 # os.environ[MKL_NUM_THREADS] 1 # os.environ[OPENBLAS_NUM_THREADS] 1 import resource # resource.setrlimit(resource.RLIMIT_AS, (8 * 1024**3, 8 * 1024**3)) # 8GB虚拟内存限制