相关：之前写过使用tensorflow-gpu遇到的问题 https://blog.csdn.net/ZhangDanzhu/article/details/83902821
现在换了电脑，同时又接触了keras，遇到一些问题，记录一下

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1 cuda安装

报错：
ImportError: Could not find ‘cudart64_100.dll’. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Download and install CUDA 10.0 from this URL: https://developer.nvidia.com/cuda-90-download-archive
解决方法：
从所给提示中的网站下载提示的cuda版本并安装，我的默认安装于C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0
安装完后相应地配置好环境变量：在系统环境变量path中增加CUDA的bin目录

同时检查一下是否有以下两个环境变量

可以通过在cmd中输入 nvcc -V来检查是否安装配置成功。

2 cuDNN安装

安装完CUDA后，换了个报错
ImportError: Could not find ‘cudnn64_7.dll’. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Note that installing cuDNN is a separate step from installing CUDA, and this DLL is often found in a different directory from the CUDA DLLs. You may install the necessary DLL by downloading cuDNN 7 from this URL: https://developer.nvidia.com/cudnn
解决办法
去提示的网站上下载对应版本的cuDNN,然后解压，将bin中的cudnn64_7.dll复制到原来CUDA路径中bin目录下。（别的好像不需要，看情况可以一起复制到相对应的路径下）