教你如何在Ubuntu 18.04 下安裝 Tensorflow(CPU)

最近我開始學習深度學習框架Tensorflow,一開始在Windows平臺下的anaconda下安裝,因爲anaconda安裝幾回後navigator打開總是出現閃退的問題,因此決定換個Ubuntu下繼續折騰tensorflow。本人筆記本沒有NVIDIA顯卡,只裝的CPU版本的。並且是在虛擬機下的,下面開始吧。

先安裝好Ubuntu 18.04版本的系統(最好是Ubuntu的14.04版本以上),Ubuntu系統已經有了了Python 3.7.7.7,因此不須要再安裝Python了。html

1、首先更新源爲阿里雲軟件源,增長下載速度html5

(1)備份當前也就是默認官方的源列表python

sudo cp /etc/apt/sources.list /etc/apt/sources.list.backup

(2)刪除sources.list文件中的列表,刪除所有內容linux

sudo gedit /etc/apt/sources.list1

(3)替換內容後,保存ubuntu

deb http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse

(4)更新源列表markdown

sudo apt-get update

參考:https://www.linuxidc.com/Linux/2019-04/158157.htm框架

2、安裝Tensorflow(Python3.6.7/CPU)ionic

(1)安裝Python3的包管理pip學習

sudo apt-get install python3-pip python3-dev

教你如何在Ubuntu 18.04 下安裝 Tensorflow(CPU)教你如何在Ubuntu 18.04 下安裝 Tensorflow(CPU)

(2)安裝tensorflow測試

(自動安裝相關庫numpy、tensorboard、six、protobuf、html5lib、bleach、werkzeug、markdown)

linuxidc@linuxidc:~/linuxidc.com$ sudo pip3 install tensorflow

教你如何在Ubuntu 18.04 下安裝 Tensorflow(CPU)教你如何在Ubuntu 18.04 下安裝 Tensorflow(CPU)

(3)測試tensorflow

linuxidc@linuxidc:~/linuxidc.com$ python3
Python 3.6.7 (default, Oct 22 2018, 11:32:17)
[GCC 8.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> a = tf.constant(1)
>>> b = tf.constant(2)
>>> op = a + b
>>> sess = tf.Session()
2019-06-02 06:35:29.407386: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-02 06:35:29.427402: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1799995000 Hz
2019-06-02 06:35:29.427627: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x24f1710 executing computations on platform Host. Devices:
2019-06-02 06:35:29.427675: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
>>> sess.run(op)
3
>>> sess.close()
>>>

教你如何在Ubuntu 18.04 下安裝 Tensorflow(CPU)教你如何在Ubuntu 18.04 下安裝 Tensorflow(CPU)

 

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