The TensorFlow library wasn'tcompiled to use SSE4.1 instructions, but these are available on your ma

Tensorflow 验证:发生以下提示错误

$ python

Python 2.7.6 (default, Oct 26 2016, 20:30:19)

[GCC 4.8.4] on linux2

Type "help", "copyright","credits" or "license" for more information.

>>> import tensorflow as tf

>>> tf.__version__

'1.1.0-rc1'

>>> hello = tf.constant('Hello, TensorFlow!')

>>> sess = tf.Session()

2017-04-06 13:37:59.220788: Wtensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn'tcompiled to use SSE4.1 instructions, but these are available on your machineand could speed up CPU computations.

2017-04-06 13:37:59.220870: Wtensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn'tcompiled to use SSE4.2 instructions, but these are available on your machineand could speed up CPU computations.

2017-04-06 13:37:59.220903: Wtensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn'tcompiled to use AVX instructions, but these are available on your machine andcould speed up CPU computations.

>>> print sess.run(hello)

Hello, TensorFlow!

>>>  a =tf.constant(10)

  File"<stdin>", line 1

    a =tf.constant(10)

    ^

IndentationError: unexpected indent

>>> a = tf.constant(10)

>>> b = tf.constant(32)

>>> print sess.run(a+b)

42

>>> 

 

这里的warning跟库的编译选项有关,下面的步骤可以避免打印.

import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值