[Python的自由天空] TF运行问题（Tensorflow）
发信人: RaiderYi (RaiderYi), 信区: Python
标 题: TF运行问题（Tensorflow）
发信站: 水木社区 (Tue Aug 29 22:29:16 2017), 转信
代码如下：
#-*- coding:utf-8 -*-
import tensorflow as tf
import numpy as np
greeting = tf.constant('Hello Google')
sess=tf.Session()
result= sess.run(greeting)
print(result)
sess.close()
----------------------------------------------------------------
可以输出，带有如下提示，请问如何解决。
C:\python\Anaconda3\python.exe
C:/Users/fangs/PycharmProjects/TFlearning/test2.py
2017-08-29 22:26:23.507689: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\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.
2017-08-29 22:26:23.508074: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\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.
2017-08-29 22:26:23.508456: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\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.
2017-08-29 22:26:23.508842: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\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.
2017-08-29 22:26:23.509228: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The
TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are
available on your machine and could speed up CPU computations.
2017-08-29 22:26:23.509607: W c:\tf_jenkins\home\workspace\release-
from 水木社区 电脑技术区十大热门话题 http://ift.tt/2vF6vwP
via IFTTT
标 题: TF运行问题（Tensorflow）
发信站: 水木社区 (Tue Aug 29 22:29:16 2017), 转信
代码如下：
#-*- coding:utf-8 -*-
import tensorflow as tf
import numpy as np
greeting = tf.constant('Hello Google')
sess=tf.Session()
result= sess.run(greeting)
print(result)
sess.close()
----------------------------------------------------------------
可以输出，带有如下提示，请问如何解决。
C:\python\Anaconda3\python.exe
C:/Users/fangs/PycharmProjects/TFlearning/test2.py
2017-08-29 22:26:23.507689: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\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.
2017-08-29 22:26:23.508074: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\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.
2017-08-29 22:26:23.508456: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\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.
2017-08-29 22:26:23.508842: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\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.
2017-08-29 22:26:23.509228: W c:\tf_jenkins\home\workspace\release-
win\m\windows\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The
TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are
available on your machine and could speed up CPU computations.
2017-08-29 22:26:23.509607: W c:\tf_jenkins\home\workspace\release-
from 水木社区 电脑技术区十大热门话题 http://ift.tt/2vF6vwP
via IFTTT
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