Windows 10英特尔核心i3处理器上的Tensorflow分期付款nVIDIA GEFORCE 920 m GPU
Windows 10英特尔核心i3处理器上的Tensorflow分期付款nVIDIA GEFORCE 920 m GPU
提问于 2017-05-28 04:47:33
我正在尝试使用这里指令进行安装
我有一个兼容的nVIDIA GEFORCE 920 m GPU和CRUD工具包以及驱动程序都安装在系统上。当我在python程序上执行在GPU上测试tensorflow安装的步骤时：
import tensorflow as tf
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))我得到的输出是：
>>> sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
2017-05-28 09:38:01.349304: W c:\tf_jenkins\home\workspace\release-
win\device\cpu\os\windows\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.
2017-05-28 09:38:01.349459: W c:\tf_jenkins\home\workspace\release-
win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45]
The TensorFlow library wasn't compiled to use SSE2 instructions, but these
are available on your machine and could speed up CPU computations.
2017-05-28 09:38:01.349583: W c:\tf_jenkins\home\workspace\release-
win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45]
The TensorFlow library wasn't compiled to use SSE3 instructions, but these
are available on your machine and could speed up CPU computations.
2017-05-28 09:38:01.349705: W c:\tf_jenkins\home\workspace\release-
win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45]
The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these
are available on your machine and could speed up CPU computations.
2017-05-28 09:38:01.354312: I c:\tf_jenkins\home\workspace\release-
win\device\cpu\os\windows\tensorflow\core\common_runtime\direct_session.cc:257] Device mapping:我向你提出的问题是：
- 为什么在安装所有库和工具包都没有错误的情况下，nVIDIA GPU没有被检测到？
- 为什么输出中写着"TensorFlow库不是为了使用SSE4.1指令而编译的，但是这些指令在您的机器上是可用的，并且可以加快CPU的计算速度“，我该如何纠正呢？
- 请一步一步地解决问题。没有其他人。
提前谢谢你的回答。
回答 1
Stack Overflow用户
回答已采纳
发布于 2017-06-11 14:19:53
好吧，我的准确答案是：
Why is the nVIDIA GPU not getting detected when all librariries and toolkits are installed without errors?答:转到NVidia GEFORCE应用程序并更新驱动程序，然后库就会被检测到，错误就会消失。
Why is it the output saying "TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations" and how do i rectify this?答:完成上述更新后，TensorFlow库将停止提供SSE错误。这将解决你的问题。
Please give a step by step solution. None other.答:以上所述，对我来说应该管用。
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/44223898
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