Tensorflow之安装GPU版错误集合

    在根据教程http://blog.csdn.net/sb19931201/article/details/53648615安装好全部的时候，却无情的给我抛了几个错：

1、AttributeError: module 'tensorflow' has no attribute 'device'

    这貌似是我先pip了tensorflow-gpu的包，再添加cuDnn库。

2、ImportError: Could not find 'cudart64_80.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Download and install CUDA 8.0 from this URL: https://developer.nvidia.com/cuda-toolkit

    在下载的CUDA的时候，随手下了9.0的，结果只支持8.0.。

3、ImportError: Could not find 'cudnn64_6.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 6 from this URL: https://developer.nvidia.com/cudnn

    明明看教程的时候写的是5.1版本，我也下的5.1啊，这是为什么？原来是因为我的tensorflow-gpu的版本高于1.3,所以用6.0。

4、InvalidArgumentError (see above for traceback): Cannot assign a device for operation 'add': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.

[[Node: add = Add[T=DT_FLOAT, _device="/device:GPU:0"](a, b)]]

    还给我弹了下面这个框



这个问题根据下面改就行。

桌面上空白地方右键，进入NVIDIA面板，然后下图



选择第二个，点击应用，再重启电脑即可，记得重启电脑。

我用的以下代码测试：

import tensorflow as tf

# # 通过tf.device将运算指定到特定的设备上。
with tf.device('/cpu:0'):
    a = tf.constant([1.0, 2.0, 3.0], shape=[3], name='a')
    b = tf.constant([1.0, 2.0, 3.0], shape=[3], name='b')
with tf.device('/gpu:0'):
     c=a+b
# 通过log_device_placement参数来记录运行每一个运算的设备。
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
print(sess.run(c))