Loaded runtime CuDNN library: 5005 深入MNIST

来源：互联网发布：国外数据采集的方法编辑：程序博客网时间：2024/06/05 17:17

原文题：

tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded runtime CuDNN library: 5005 (compatibility version 5000) 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 loaded at runtime matches a compatible version specified during compile configuration.

解决问题，就是更新cudnn

直接去cudnn官网上下载最新的cudnn.

下载cuDNN，从https://developer.nvidia.com/rdp/cudnn-download，注册，然后下载，

拷贝cuDNN库文件到cuda目录下，

tar -zxvf cudnn-7.0-linux-x64-v4.0-prod.tgzcd cudasudo cp lib64/* /usr/local/cuda/lib64/sudo cp include/cudnn.h /usr/local/cuda/include/

设置环境变量，在/etc/profile中添加CUDA环境变量，

sudo gedit /etc/profile

在打开的文件中加入如下两句话

export PATH=/usr/local/cuda/bin:$PATHexport LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

保存后，使环境变量立即生效，

source /etc/profile

进入/usr/local/cuda/samples，执行下面的命令来build samples，

sudo make all -j4

全部编译完成后，进入 samples/bin/x86_64/linux/release，运行deviceQuery，

./deviceQuery

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