主页 > 知识库 > Ubuntu20.04环境安装tensorflow2的方法步骤

Ubuntu20.04环境安装tensorflow2的方法步骤

热门标签:如何申请400电话代理 智能电话机器人调研 杭州房产地图标注 400电话在线如何申请 甘肃高频外呼系统 天津塘沽区地图标注 地图标注可以远程操作吗 滴滴地图标注公司 江门智能电话机器人

一、TensorFlow介绍

1、简介

  TensorFlow是一个基于数据流编程(dataflow programming)的符号数学系统,被广泛应用于各类机器学习(machine learning)算法的编程实现,其前身是谷歌的神经网络算法库DistBelief 。Tensorflow拥有多层级结构,可部署于各类服务器、PC终端和网页并支持GPU和TPU高性能数值计算,被广泛应用于谷歌内部的产品开发和各领域的科学研究 。TensorFlow由谷歌人工智能团队谷歌大脑(Google Brain)开发和维护,拥有包括TensorFlow Hub、TensorFlow Lite、TensorFlow Research Cloud在内的多个项目以及各类应用程序接口(Application Programming Interface, API)。自2015年11月9日起,TensorFlow依据阿帕奇授权协议(Apache 2.0 open source license)开放源代码 。

2、TensorFlow 支持的系统

  以下 64 位系统上测试过 TensorFlow 并且这些系统支持 TensorFlow:

  • Python 3.5–3.8
  • Ubuntu 16.04 或更高版本
  • Windows 7 或更高版本(含 C++ 可再发行软件包)
  • macOS 10.12.6 (Sierra) 或更高版本(不支持 GPU)
  • Raspbian 9.0 或更高版本

二、安装步骤

1、检查确认python版本

root@ubuntuvm:~# python3 -V
Python 3.8.5

2、安装venv模块

root@ubuntuvm:/home# apt install python3-venv python3-dev
Reading package lists… Done
Building dependency tree
Reading state information… Done
The following additional packages will be installed:
libc-dev-bin libc6 libc6-dbg libc6-dev libcrypt-dev libexpat1-dev libpython3-dev libpython3.8-dev linux-libc-dev manpages-dev python-pip-whl
python3-distutils python3.8-dev python3.8-venv zlib1g zlib1g-dev
Suggested packages:
glibc-doc
The following NEW packages will be installed:
libc-dev-bin libc6-dev libcrypt-dev libexpat1-dev libpython3-dev libpython3.8-dev linux-libc-dev manpages-dev python-pip-whl python3-dev
python3-distutils python3-venv python3.8-dev python3.8-venv zlib1g-dev
The following packages will be upgraded:
libc6 libc6-dbg zlib1g
3 upgraded, 15 newly installed, 0 to remove and 233 not upgraded.
Need to get 21.2 MB of archives.
After this operation, 56.1 MB of additional disk space will be used.
Do you want to continue? [Y/n] y

3、创建项目目录

bdsc@ubuntuvm:~$ mkdir mytensorflow
bdsc@ubuntuvm:~$ cd mytensorflow/

4、创建虚拟环境

bdsc@ubuntuvm:~/mytensorflow$ python3 -m venv tenf

5、激活虚拟环境

bdsc@ubuntuvm:~/mytensorflow$ source tenf/bin/activate
(tenf) bdsc@ubuntuvm:~/mytensorflow$

6、升级pip

(tenf) bdsc@ubuntuvm:~/mytensorflow$ pip3 -V
pip 20.0.2 from /home/bdsc/mytensorflow/tenf/lib/python3.8/site-packages/pip (python 3.8)
(tenf) bdsc@ubuntuvm:~/mytensorflow$ pip install --upgrade pip
Collecting pip
Downloading pip-21.0-py3-none-any.whl (1.5 MB)
|████████████████████████████████| 1.5 MB 1.0 MB/s
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 20.0.2
Uninstalling pip-20.0.2:
Successfully uninstalled pip-20.0.2
Successfully installed pip-21.0
(tenf) bdsc@ubuntuvm:~/mytensorflow$ pip3 -V
pip 21.0 from /home/bdsc/mytensorflow/tenf/lib/python3.8/site-packages/pip (python 3.8)

7、安装tensorflow

(tenf) bdsc@ubuntuvm:~/mytensorflow$ pip3 install tensorflow
Collecting tensorflow
Downloading tensorflow-2.4.1-cp38-cp38-manylinux2010_x86_64.whl (394.4 MB)
|████████████████████████████████| 394.4 MB 4.9 kB/s

Collecting tensorflow-estimator2.5.0,>=2.4.0
Downloading tensorflow_estimator-2.4.0-py2.py3-none-any.whl (462 kB)
|████████████████████████████████| 462 kB 24 kB/s
Collecting astunparse~=1.6.3
Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting protobuf>=3.9.2
Downloading protobuf-3.14.0-cp38-cp38-manylinux1_x86_64.whl (1.0 MB)
|████████████████████████████████| 1.0 MB 35 kB/s
Collecting gast==0.3.3
Downloading gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
Collecting flatbuffers~=1.12.0
Downloading flatbuffers-1.12-py2.py3-none-any.whl (15 kB)
Collecting absl-py~=0.10
Downloading absl_py-0.11.0-py3-none-any.whl (127 kB)
|████████████████████████████████| 127 kB 52 kB/s
Collecting wheel~=0.35
Downloading wheel-0.36.2-py2.py3-none-any.whl (35 kB)
Collecting termcolor~=1.1.0
Downloading termcolor-1.1.0.tar.gz (3.9 kB)
Collecting wrapt~=1.12.1
Downloading wrapt-1.12.1.tar.gz (27 kB)
Collecting grpcio~=1.32.0
Downloading grpcio-1.32.0-cp38-cp38-manylinux2014_x86_64.whl (3.8 MB)
|████████████████████████████████| 3.8 MB 35 kB/s
Collecting six~=1.15.0
Downloading six-1.15.0-py2.py3-none-any.whl (10 kB)
Collecting typing-extensions~=3.7.4
Downloading typing_extensions-3.7.4.3-py3-none-any.whl (22 kB)
Collecting tensorboard~=2.4
Downloading tensorboard-2.4.1-py3-none-any.whl (10.6 MB)
|████████████████████████████████| 10.6 MB 46 kB/s
Collecting keras-preprocessing~=1.1.2
Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
|████████████████████████████████| 42 kB 43 kB/s
Collecting h5py~=2.10.0
Downloading h5py-2.10.0-cp38-cp38-manylinux1_x86_64.whl (2.9 MB)
|████████████████████████████████| 2.9 MB 46 kB/s
Collecting opt-einsum~=3.3.0
Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
|████████████████████████████████| 65 kB 45 kB/s
Collecting google-pasta~=0.2
Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)
|████████████████████████████████| 57 kB 26 kB/s
Collecting numpy~=1.19.2
Downloading numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl (14.9 MB)
|████████████████████████████████| 14.9 MB 65 kB/s
Collecting markdown>=2.6.8
Downloading Markdown-3.3.3-py3-none-any.whl (96 kB)
|████████████████████████████████| 96 kB 66 kB/s
Collecting google-auth-oauthlib0.5,>=0.4.1
Downloading google_auth_oauthlib-0.4.2-py2.py3-none-any.whl (18 kB)
Collecting werkzeug>=0.11.15
Downloading Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)
|████████████████████████████████| 298 kB 44 kB/s
Requirement already satisfied: setuptools>=41.0.0 in ./tenf/lib/python3.8/site-packages (from tensorboard~=2.4->tensorflow) (44.0.0)
Collecting tensorboard-plugin-wit>=1.6.0
Downloading tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB)
|████████████████████████████████| 781 kB 43 kB/s
Collecting requests3,>=2.21.0
Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB)
|████████████████████████████████| 61 kB 57 kB/s
Collecting google-auth2,>=1.6.3
Downloading google_auth-1.24.0-py2.py3-none-any.whl (114 kB)
|████████████████████████████████| 114 kB 37 kB/s
Collecting rsa5,>=3.1.4
Downloading rsa-4.7-py3-none-any.whl (34 kB)
Collecting pyasn1-modules>=0.2.1
Downloading pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
|████████████████████████████████| 155 kB 34 kB/s
Collecting cachetools5.0,>=2.0.0
Downloading cachetools-4.2.1-py3-none-any.whl (12 kB)
Collecting requests-oauthlib>=0.7.0
Downloading requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Collecting pyasn10.5.0,>=0.4.6
Downloading pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
|████████████████████████████████| 77 kB 42 kB/s
Collecting chardet5,>=3.0.2
Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB)
|████████████████████████████████| 178 kB 47 kB/s
Collecting idna3,>=2.5
Downloading idna-2.10-py2.py3-none-any.whl (58 kB)
|████████████████████████████████| 58 kB 31 kB/s
Collecting urllib31.27,>=1.21.1
Downloading urllib3-1.26.2-py2.py3-none-any.whl (136 kB)
|████████████████████████████████| 136 kB 33 kB/s
Collecting certifi>=2017.4.17
Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB)
|████████████████████████████████| 147 kB 26 kB/s
Collecting oauthlib>=3.0.0
Downloading oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
|████████████████████████████████| 147 kB 36 kB/s
Using legacy ‘setup.py install' for termcolor, since package ‘wheel' is not installed.
Using legacy ‘setup.py install' for wrapt, since package ‘wheel' is not installed.
Installing collected packages: urllib3, pyasn1, idna, chardet, certifi, six, rsa, requests, pyasn1-modules, oauthlib, cachetools, requests-oauthlib, google-auth, wheel, werkzeug, tensorboard-plugin-wit, protobuf, numpy, markdown, grpcio, google-auth-oauthlib, absl-py, wrapt, typing-extensions, termcolor, tensorflow-estimator, tensorboard, opt-einsum, keras-preprocessing, h5py, google-pasta, gast, flatbuffers, astunparse, tensorflow
Running setup.py install for wrapt … done
Running setup.py install for termcolor … done
Successfully installed absl-py-0.11.0 astunparse-1.6.3 cachetools-4.2.1 certifi-2020.12.5 chardet-4.0.0 flatbuffers-1.12 gast-0.3.3 google-auth-1.24.0 google-auth-oauthlib-0.4.2 google-pasta-0.2.0 grpcio-1.32.0 h5py-2.10.0 idna-2.10 keras-preprocessing-1.1.2 markdown-3.3.3 numpy-1.19.5 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.14.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.1 requests-oauthlib-1.3.0 rsa-4.7 six-1.15.0 tensorboard-2.4.1 tensorboard-plugin-wit-1.8.0 tensorflow-2.4.1 tensorflow-estimator-2.4.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.2 werkzeug-1.0.1 wheel-0.36.2 wrapt-1.12.1

8、验证tensoflow2是否安装成功

1、查看安装模块及版本

(tenf) bdsc@ubuntuvm:~/mytensorflow$ pip3 show tensorflow
Name: tensorflow
Version: 2.4.1
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /home/bdsc/mytensorflow/tenf/lib/python3.8/site-packages
Requires: typing-extensions, google-pasta, protobuf, wrapt, gast, tensorboard, opt-einsum, flatbuffers, numpy, wheel, astunparse, keras-preprocessing, six, termcolor, tensorflow-estimator, grpcio, absl-py, h5py
Required-by:

2、查看import tensorflow是否报错

3、使用TensorFlow打印hello,Tensorflow

(tenf) bdsc@ubuntuvm:~/mytensorflow$ python3
Python 3.8.5 (default, Jul 28 2020, 12:59:40)
[GCC 9.3.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.
>>> import os
>>> os.environ[‘TF_CPP_MIN_LOG_LEVEL'] = ‘2'
>>> import tensorflow as tf
>>> tf.compat.v1.disable_eager_execution()
>>> hello = tf.constant(‘Hello, Tensorflow!')
>>> sess = tf.compat.v1.Session()
>>> print(sess.run(hello))
b'Hello, Tensorflow!'

三、FAQ

1、import tensorflow时报错无法加载动态库libcudart.so.11.0


解决方法:
在import tensorflow as tf语句前加上如下语句

import os
os.environ[‘TF_CPP_MIN_LOG_LEVEL'] = ‘2'
import tensorflow as tf

2、报错session属性找不到


原因:
报错AttributeError: module ‘tensorflow' has no attribute ‘Session'。这其实不是安装错误,是因为在新的Tensorflow 2.0版本中已经移除了Session这一模块。
解决方法:
改换运行代码,tf.compat.v1.Session()

到此这篇关于Ubuntu20.04环境安装tensorflow2的实现的文章就介绍到这了,更多相关Ubuntu20.04安装tensorflow2内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

您可能感兴趣的文章:
  • 解决Tensorflow安装成功,但在导入时报错的问题
  • Python3.7安装keras和TensorFlow的教程图解
  • Windows10下Tensorflow2.0 安装及环境配置教程(图文)
  • 详解TensorFlow在windows上安装与简单示例
  • windows环境下tensorflow安装过程详解
  • TensorFlow2.1.0最新版本安装详细教程
  • python3.6.3安装图文教程 TensorFlow安装配置方法
  • Windows上安装tensorflow 详细教程(图文详解)
  • Win7下Python与Tensorflow-CPU版开发环境的安装与配置过程

标签:东莞 汉中 廊坊 长春 德宏 重庆 临汾 河池

巨人网络通讯声明:本文标题《Ubuntu20.04环境安装tensorflow2的方法步骤》,本文关键词  Ubuntu20.04,环境,安装,tensorflow2,;如发现本文内容存在版权问题,烦请提供相关信息告之我们,我们将及时沟通与处理。本站内容系统采集于网络,涉及言论、版权与本站无关。
  • 相关文章
  • 下面列出与本文章《Ubuntu20.04环境安装tensorflow2的方法步骤》相关的同类信息!
  • 本页收集关于Ubuntu20.04环境安装tensorflow2的方法步骤的相关信息资讯供网民参考!
  • 推荐文章