DNN报错：The compiler failed with error code 1.

最新推荐文章于 2024-05-27 18:16:16 发布
最新推荐文章于 2024-05-27 18:16:16 发布
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分类专栏： 编译错误 文章标签： DNN
转自VC错误:http://www.vcerror.com/?p=1890

问题描述：

DNN网站的很多模块和管理功能页面都报下面的错误：

1 Error: Edit Content is currently unavailable.

2 DotNetNuke.Services.Exceptions.ModuleLoadException:

3 External component has thrown an exception. ---> System.Web.HttpCompileException: External component has thrown an exception.

4 at System.Web.Compilation.AssemblyBuilder.Compile()

5 at System.Web.Compilation.BuildProvidersCompiler.PerformBuild()

6 at System.Web.Compilation.BuildManager.CompileWebFile(VirtualPath virtualPath)

7 at System.Web.Compilation.BuildManager.GetVPathBuildResultInternal(VirtualPath virtualPath, Boolean noBuild, Boolean allowCrossApp, Boolean allowBuildInPrecompile)

8 at System.Web.Compilation.BuildManager.GetVPathBuildResultWithNoAssert(HttpContext context, VirtualPath virtualPath, Boolean noBuild, Boolean allowCrossApp, Boolean allowBuildInPrecompile)

9 at System.Web.UI.TemplateControl.LoadControl(VirtualPath virtualPath)

10 at System.Web.UI.TemplateControl.LoadControl(String virtualPath)

11 at DotNetNuke.UI.Skins.Skin.InjectModule(Control objPane, ModuleInfo objModule, PortalSettings PortalSettings) in

12 E:\Development\DotNetNuke\InstallArea\DotNetNuke_04.08.03_Source\Library\Components\Skins\Skin.vb:line 492



尝试排除错误时又出现下面的错误：


1 Server Error in '/' Application.

2 --------------------------------------------------------------------------------

3

4 Compilation Error

5 Description: An error occurred during the compilation of a resource required to service this request. Please review the following specific error details and modify your source code appropriately.

6

7 Compiler Error Message: The compiler failed with error code 1.



解决方法：
具体的解决方法参考文章:http://www.vcerror.com/?p=1890
Vue - 解决运行时报错 Failed to compile with 1 errors（vue启动报错，可能没有错误信息也可能有错误信息，执行npm启动命令后打不开且报错，详细排查方案及解决教程）
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环境 Ubuntu: 16.04 CUDA: 10.0 CUDNN: 7.6.5 执行情况 $ python3 test.py 2020-10-13 15:20:14.602211: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2020-10-13 15:20:14.605874: I tensorflow/strea
2025-03-20 04:26:29.893491: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered WARNING: All log messages before absl::InitializeLog() is called are written to STDERR E0000 00:00:1742459189.923278 7224 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered E0000 00:00:1742459189.932373 7224 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered W0000 00:00:1742459189.960838 7224 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once. W0000 00:00:1742459189.960898 7224 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once. W0000 00:00:1742459189.960902 7224 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once. W0000 00:00:1742459189.960905 7224 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once. 2025-03-20 04:26:29.966980: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. Namespace(weights='/home/book/rk3566/ai_tools/FaceRecognition-master/weights/last.pt', source='/home/book/rk3566/ai_tools/yolov5-face-master/data/images/lhr.jpg', output='../inference/output', img_size=640, conf_thres=0.3, iou_thres=0.5, fourcc='mp4v', device='', view_img=False, save_txt=False, classes=None, agnostic_nms=False, augment=False, facenet_model_path='../20180408-102900', svc_path='../SVCmodel.pkl', database_path='../Database.npz') Using CPU Traceback (most recent call last): File "/home/book/rk3566/ai_tools/FaceRecognition-master/recognition/test.py", line 374, in <module> detect(setOPT()) # step3 File "/home/book/rk3566/ai_tools/FaceRecognition-master/recognition/test.py", line 37, in detect model = torch.load(weights, map_location=device)['model'].float() # load to FP32 File "/home/book/anaconda3/envs/yolov5face/lib/python3.9/site-packages/torch/serialization.py", line 1494, in load raise pickle.UnpicklingError(_get_wo_message(str(e))) from None _pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint. (1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source. (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message. WeightsUnpickler error: Unsupported global: GLOBAL numpy.core.multiarray._reconstruct was not an allowed global by default. Please use `torch.serialization.add_safe_globals([_reconstruct])` or the `torch.serialization.safe_globals([_reconstruct])` context manager to allowlist this global if you trust this class/function. Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html. 报错了
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# 方法1：关闭安全模式（需确保模型来源可信） model = torch.load(weights, map_location=device, weights_only=False)['model'].float() # 方法2：添加安全例外（PyTorch 2.6+） import torch.serialization with...
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ERROR Failed to compile with 1 error
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重新运行：npm run serve(每个人情况不定）
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