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我已經aldready花了相當的時間對堆棧溢出周圍挖掘和其他尋找答案，但找不到任何Tensorflow不是在GPU上運行
大家好，
我我在上面運行Keras的Tensorflow。 我90％確定我安裝了Tensorflow GPU，有沒有什麼方法可以檢查我做了哪些安裝？
我試圖從Jupyter筆記本上運行一些CNN模型，我注意到Keras在CPU上運行模型（選中的任務管理器，CPU處於100％）。
我試圖從tensorflow網站運行此代碼：
# 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))
這是我得到：
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.]]
這對我顯示我正在我的CPU上，出於某種原因。
我有一個GTX1050（驅動程序版本382.53），我安裝了CUDA，並且Cudnn和tensorflow安裝沒有任何問題。我也安裝了Visual Studio 2015，因爲它被列爲兼容版本。
我記得CUDA提到一些關於安裝不兼容驅動程序的內容，但是如果我正確地記得CUDA應該安裝它自己的驅動程序。
編輯： 我跑論文命令列出可用的設備
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
，這就是我得到
[name: "/cpu:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 14922788031522107450
]
和一大堆警告這樣
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.
編輯2
試圖運行
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)
解決： 爲解決檢查意見。 感謝所有幫助！
我對此很陌生，所以任何幫助，非常感謝！ 謝謝。
兼容的版本，是否安裝TF與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列出可用設備-process＃t = 201706291527588861941？ – npf
是的，我使用pip3安裝了Tensorflow，我正在運行Python 3. – Goofynose