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...
Continue installation Abort installation (选择Coninue) 问题2:Would you like toregisterthe kernel module sources with DKMS?This will allow DKMS to automatically build anewmodule,ifyou install a different kernel later.Yes No (选 No) 问题3:Install NVIDIA’s32-bit compatibility libraries?Yes No (选 ...
Please refer to this link to use the correct compatibility. Saduf2019 added the stat:awaiting response label Dec 12, 2021 Author pn12 commented Dec 12, 2021 @Saduf2019 - It's resolved now, there was a version compatibility issue among cuda , tf , cudnn. Thanks. pn12 closed this as...
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。 问题大概是:Nvidia’s 32-bit compatibility libraries? 选择No 继续。
WARNING:Unable to determine Xorg ABI compatibility WARNING:The driverforthisdevice doesnotsupport the current Xorg version 390.48为需安装的显卡版本号,也可以去英伟达官网,下载驱动安装,因为这个版本去yum源里面没有搜索到,我直接去英伟达官网下载cuda相应的驱动 ...
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 ...
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. If building from sources, make sure the library ...
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) ...
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. If building fromsources, make sure the library loaded ...