通过pip安装tensorflow1.8.0-gpu
# 百度了挺久，汇总一下我碰到的问题以及解决方法
特别需要的就是注意版本号的对应，之前几次尝试安装没有成功都是因为版本没有对应好
tensorflow的安装
pip install tensorflow-gpu -i https://pypi.tuna.tsinghua.edu.cn/simple用清华镜像源安装会快很多
报错1
Could not find ‘cudart64_90.dll
我尝试了安装cuda9.0
报错2
Could not find ‘cudnn64_7.dll’
查阅之后
需要安装cuDNN 7
传到了网盘链接：https://pan.baidu.com/s/1GJ1x0UkyVnGGEwMkiLgJrQ 密码：wct1
第五步没有做，没有用vs ，用了pycharm，暂时没有发现问题。
测试结果
#输入#
import tensorflow
hello = tensorflow.constant("Hello!Tensorflow")
sess = tensorflow.Session()
print(sess.run(hello))#结果#
2018-06-11 23:16:29.230768: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1356] Found device 0 with properties:
name: GeForce GTX 1060 6GB major: 6 minor: 1 memoryClockRate(GHz): 1.7845
pciBusID: 0000:01:00.0
totalMemory: 6.00GiB freeMemory: 4.96GiB
2018-06-11 23:16:29.231216: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1435] Adding visible gpu devices: 0
2018-06-11 23:16:30.006880: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-06-11 23:16:30.007124: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:929] 0
2018-06-11 23:16:30.007279: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:942] 0: N
2018-06-11 23:16:30.007558: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4732 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1060 6GB, pci bus id: 0000:01:00.0, compute capability: 6.1)
b'Hello!Tensorflow'
参考：
Windows下安装tensorflow GPU版本报错：OSError: [WinError 126] 找不到指定的模块/Could not find ‘cudart64_90.dll’.
(Tensorflow-GPU) import tensorflow ImportError: Could not find ‘cudnn64_7.dll’