2018-12-11 15:06:03.284604: E tensorflow/stream_executor/cuda/cuda_driver.cc:300] failed call to cuI

使用sudo reboot重启电脑
最新推荐文章于 2024-09-02 20:16:02 发布
最新推荐文章于 2024-09-02 20:16:02 发布
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博客提到使用sudo reboot命令可实现电脑重启，简单说明操作方法。

sudo reboot

重启电脑即可。

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关于使用服务器gpu的问题，cuda_driver.cc:300] failed call to cuInit: CUDA_ERROR_INVALID_DEVICE: invalid device o
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2019-03-28 16:18:25.717636: E tensorflow/stream_executor/cuda/cuda_driver.cc:300] failed call to cuInit: CUDA_ERROR_INVALID_DEVICE: invalid device ordinal 运行代码时遇到这个报错，苦苦搜索，然而网上的答案我对照过都没有问题，这是服务器GPU状...
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今天使用python virtualenv安装TensorFlow gpu版，一直报错 各种配置版本按官网来的https://www.tensorflow.org/ cuda8.0 cudnn5.1 错误如下 2017-06-16 13:53:53.632070: W tensorflow/stream_executor/cuda/cuda_driver.cc:523] A non-pri
Tensorflow: failed call to cuInit: CUDA_ERROR_UNKNOWN
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重启Ubuntu系统即可。
TensorFlow运行报错：tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN303
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当我在虚拟机上安装好Keras+tensorflow+theano环境时，以tensorflow作为keras的后端运行会出现如下问题： 最大的问题是，我安装的是CPU版本，并没有也安装不了支持GPU的CUDA，通过pip3 list命令，我也没看到我安装了GPU版本。 最后解决方法是，更换成theano后端，输入cat .keras/keras.json，查看当前后端。 如果安装了theano，那就用gedit .keras/keras.json编辑文件，修改成theano ...
I tensorflow/stream_executor/cuda/cuda_dnn.cc:384] Loaded cuDNN version
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我最开始是为了完成学年论文基于卷积神经网络CNN的人群口罩检测，在代码运行之初我遇到了，keras、tensorflow、numpy库不兼容的问题，还有python与tensorflow的不兼容问题，最后我在网上查询资料，以及不断的尝试。看到这个报错，我搜素了相关问题的解决方法，有了一点思路，于是我检查了系统盘发现在我CWindows/System32没有zlibwapi.dll文件。在兼容问题解决好后，在运行代码过程中出现以下问题。将文件拷贝到红色横线画的地址就可以了。
E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_ALLOC
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本人环境： anaconda 3.6 CUDA 10.0 cudnn10.0 tensorflow-gpu 2.0 做卷积神经网络时报错 E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_ALLOC_FAILE 在确保各个版本都适配的情况下，考虑显存设置问题 设置为仅在需要时申请显存 解决办法：在代码中加上： import tensorflow as tf config
2025-03-11 15:24:03.176234: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found 2025-03-11 15:24:03.176369: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2025-03-11 15:24:06.324257: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found 2025-03-11 15:24:06.324774: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303) 2025-03-11 15:24:06.329690: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-4S7VT67 2025-03-11 15:24:06.329889: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-4S7VT67 2025-03-11 15:24:06.332794: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
03-12
好的，我现在需要帮助用户解决TensorFlow在无GPU机器上运行时出现的CUDA库缺失问题，比如cuInit失败以及找不到cudart64_110.dll和nvcuda.dll。首先，我得理解用户的问题场景。用户可能在尝试在没有NVIDIA GPU的机器...
2025-03-18 11:19:26.257111: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found 2025-03-18 11:19:26.257241: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2025-03-18 11:19:28.839524: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found 2025-03-18 11:19:28.839624: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2025-03-18 11:19:28.842248: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-8STQ9PA 2025-03-18 11:19:28.842374: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-8STQ9PA 2025-03-18 11:19:28.843113: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2025-03-18 11:19:28.849276: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1ee1fb78fe0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-03-18 11:19:28.849384: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
03-19
好的，我现在需要解决用户在TensorFlow中遇到的CUDA动态链接库加载失败的问题，具体是cudart64_101.dll和nvcuda.dll缺失的错误。首先，我得回忆一下类似的问题处理经验，并结合用户提供的引用信息来整理解决方案。 ...
Building the model... 2025-04-22 13:47:10.277500: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found 2025-04-22 13:47:10.280373: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303) 2025-04-22 13:47:10.284414: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-RKJGOEL 2025-04-22 13:47:10.286893: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-RKJGOEL 2025-04-22 13:47:10.288949: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. Traceback (most recent call last): File "c:/Users/31050/Desktop/人工智能与大数据概述/作
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嗯，用户现在遇到了两个TensorFlow的问题，一个是无法导入CosineAnnealingDecay，另一个是CUDA动态库nvcuda.dll找不到。我需要结合之前的对话和用户提供的引用来分析解决方案。 首先看第一个问题，ImportError: ...
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Gpu突然不能使用？？
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