Would you like to register the kernel module souces with DKMS? This will allow DKMS to automatically build a new module, if you install a different kernel later? 选择No 继续。 问题大概是:Nvidia’s 32-bit compatibility libraries? 选择No 继续。 Would you like to run the nvidia-xconfigutility...
2018-03-08 17:46:50.845206: E tensorflow/stream_executor/cuda/cuda_dnn.cc:378] Loaded runtime CuDNN library: 7101 (compatibility version 7100) butsourcewas compiled with 7004 (compatibility version 7000). If using a binary install, upgrade your CuDNN library to match. If building from source...
这个错误我没有记录下来,但是找了个差不多的错误示例: E tensorflow/stream_executor/cuda/cuda_dnn.cc:347] Loaded runtime CuDNN library: 4007 (compatibility version 4000) but source was compiled with 5103 (compatibility version 5100). If using a binary install, upgrade your CuDNN library to match...
在spyder环境下,利用GPU模式下的tesorflow跑cnn时,出现 E tensorflow/stream_executor/cuda/cuda_dnn.cc:390]Loaded runtime CuDNN library: 5005 (compatibility version 5000) but source wascompiled with 5110 (compatibility version 5100). If using a binary install, upgrade your CuDNNlibrary to match. I...
I tensorflow/core/common_runtime/gpu/gpu_device.cc:838] Creating TensorFlow device(/gpu:0) -> (device:0, name: Tesla K20m, pci bus id:0000:02:00.0) E tensorflow/stream_executor/cuda/cuda_dnn.cc:347] Loaded runtime CuDNN library: 6022(compatibility version5000) but source was compiled ...
Would you like to register the kernel module souces with DKMS? This will allow DKMS to automatically build a new module, if you install a different kernel later? 选择 No 继续。 2. Nvidia’s 32-bit compatibility libraries? 选择 Yes 继续。(中间几个按照默认的来) ...
sudo apt-get install cuda 1. 2. 3. 配置环境变量 sudo gedit /etc/profile 在末尾加上两句 export PATH=/usr/local/cuda/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda/lib64$LD_LIBRARY_PATH 1. 2. 验证是否安装成功 安装时默认安装了测试用例,以deviceQuery为例 ...
TensorFlow Compatibility: Verify that the version of TensorFlow you're using is compatible with your installed CUDA and cuDNN versions. According to the TensorFlow release notes, TensorFlow 2.18.0 is compatible with CUDA 11.2 or 11.8. Since you're using CUDA 12.4, this could be causing issues....
At first, we make some statements on crucial environment components or tools and their versions. We try to ensure these stuffs’ versions are as new as possible, but not necessarily the latest versions, because the latest versions may incur compatibility issues. For example, seehere, before2022...
In Container Toolkit version 1.17.4, the mounting of CUDA compat libraries is now disabled. In order to ensure compatibility with multiple CUDA versions on container workflows, please ensure you update your LD_LIBRARY_PATH to include your CUDA compatibility libraries as shown in under the “If yo...