参考

我选择了：1.12.0\py37\GPU\cuda100cudnn73sse2

前置环境

Visual Studio 2017

Anaconda3

这两个我都安装的最新版。Visual Studio 2017不装会导致安装CUDA时"Visual Studio Integration"组件安装失败，我在此处卡了几天，查了好多资料都无效。

GPU相关软件下载

Nvidai驱动

CUDA10.0：，选择CUDA Toolkit 10.0

cuDNN：，选择Download cuDNN v7.3.1 (Sept 28, 2018), for CUDA 10.0

tensorflow安装包：

安装

显卡驱动安装

安装CUDA

安装好之后的环境变量默认包含：CUDA_PATH：C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0CUDA_PATH_V10_0：C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0PATH:	C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin	C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\libnvvp	C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\extras\CUPTI\libx64(这个需要自己添加)

安装cuDNN

解压cuDNN后得到bin、include、lib三个文件夹将bin下的cudnn64_7.dll拷贝到：C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin将include下的cudnn.h拷贝到：C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\include将lib\x64下的cudnn.lib拷贝到：C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\lib\x64

tensorflow-gpu环境配置

打开

创建环境

conda create -n tensorflow_gpu_1.12_py37 python=3.7

激活环境
```
conda activate tensorflow_gpu_1.12_py37
```

安装tensorflow-gpu

pip install E:\Downloads\tensorflow_gpu-1.12.0-cp37-cp37m-win_amd64.whl

测试

进入python	>>> import tensorflow as tf	>>> hello = tf.constant('Hello, tensorflow!')	>>> sess = tf.Session()

输出：

2019-03-02 09:37:52.875467: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2	2019-03-02 09:37:53.200917: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:name: GeForce RTX 2070 major: 7 minor: 5 memoryClockRate(GHz): 1.62	pciBusID: 0000:01:00.0	totalMemory: 8.00GiB freeMemory: 6.59GiB	2019-03-02 09:37:53.207587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0	2019-03-02 09:40:52.845289: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:	2019-03-02 09:40:52.848702: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988]      0	2019-03-02 09:40:52.850105: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0:   N	2019-03-02 09:40:52.854219: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow 	device (/job:localhost/replica:0/task:0/device:GPU:0 with 6331 MB memory) -> physical GPU (device: 0, 	name: GeForce RTX 2070, pci bus id: 0000:01:00.0, compute capability: 7.5)

接着执行