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我已经aldready花了相当的时间对堆栈溢出周围挖掘和其他寻找答案，但找不到任何Tensorflow不是在GPU上运行
大家好，
我我在上面运行Keras的Tensorflow。 我90％确定我安装了Tensorflow GPU，有没有什么方法可以检查我做了哪些安装？
我试图从Jupyter笔记本上运行一些CNN模型，我注意到Keras在CPU上运行模型（选中的任务管理器，CPU处于100％）。
我试图从tensorflow网站运行此代码：
# Creates a graph.
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
c = tf.matmul(a, b)
# Creates a session with log_device_placement set to True.
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
# Runs the op.
print(sess.run(c))
这是我得到：
MatMul: (MatMul): /job:localhost/replica:0/task:0/cpu:0
2017-06-29 17:09:38.783183: I c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\common_runtime\simple_placer.cc:847] MatMul: (MatMul)/job:localhost/replica:0/task:0/cpu:0
b: (Const): /job:localhost/replica:0/task:0/cpu:0
2017-06-29 17:09:38.784779: I c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\common_runtime\simple_placer.cc:847] b: (Const)/job:localhost/replica:0/task:0/cpu:0
a: (Const): /job:localhost/replica:0/task:0/cpu:0
2017-06-29 17:09:38.786128: I c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\common_runtime\simple_placer.cc:847] a: (Const)/job:localhost/replica:0/task:0/cpu:0
[[ 22. 28.]
[ 49. 64.]]
这对我显示我正在我的CPU上，出于某种原因。
我有一个GTX1050（驱动程序版本382.53），我安装了CUDA，并且Cudnn和tensorflow安装没有任何问题。我也安装了Visual Studio 2015，因为它被列为兼容版本。
我记得CUDA提到一些关于安装不兼容驱动程序的内容，但是如果我正确地记得CUDA应该安装它自己的驱动程序。
编辑： 我跑论文命令列出可用的设备
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
，这就是我得到
[name: "/cpu:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 14922788031522107450
]
和一大堆警告这样
2017-06-29 17:32:45.401429: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations.
编辑2
试图运行
pip3 install --upgrade tensorflow-gpu
，我得到
Requirement already up-to-date: tensorflow-gpu in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages
Requirement already up-to-date: markdown==2.2.0 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: html5lib==0.9999999 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: werkzeug>=0.11.10 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: wheel>=0.26 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: bleach==1.5.0 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: six>=1.10.0 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: protobuf>=3.2.0 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: backports.weakref==1.0rc1 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: numpy>=1.11.0 in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from tensorflow-gpu)
Requirement already up-to-date: setuptools in c:\users\goofynose\appdata\local\programs\python\python35\lib\site-packages (from protobuf>=3.2.0->tensorflow-gpu)
解决： 为解决检查意见。 感谢所有帮助！
我对此很陌生，所以任何帮助，非常感谢！ 谢谢。
兼容的版本，是否安装TF与PIP ？ – danche
您可以使用https://stackoverflow.com/documentation/tensorflow/10621/tensorflow-gpu-setup/31878/list-the-available-devices-available-by-tensorflow-in-the-local列出可用设备-process＃t = 201706291527588861941？ – npf
是的，我使用pip3安装了Tensorflow，我正在运行Python 3. – Goofynose