Huawei's first experience [cloud] - The story begins talking about a bat

Buy Huawei cloud servers student package contains the following resources
Here Insert Picture Description
in accordance with the console prompt to configure port

Log in as root, add ordinary user

useradd -m 用户名 -s /bin/bash

Useradd command to add a parameter, use the -m before the user name, you can add the default home directory for the user (if you do not add a home directory, the user will be unable to create a file). Use -m parameter -s parameter also need to specify the position of the shell (the shell without adding position, the user's default shell is sh, its function is relatively weak)

Set user password

passwd 用户名

Add the user to the sudoers file

chmod 777 /etc/sudoers     #修改文件权限
vim /etc/sudoers			#修改sudoers file
#在root ALL=(ALL:ALL) ALL 下面添加一行
用户名   ALL=(ALL)ALL    	
#保存退出
chmod 440 /etc/sudoers		#改回文件权限	 

Landing ordinary users, download anaconda

wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh 

Installation Anaconda (enter yes)

bash Anaconda3-5.0.1-Linux-x86_64.sh

Check if successful
re-open the terminal, check python version is python3

python --version

Creating tenflow development environment

conda create -n tensorflow python=3.6

Activation environment

source activate tensorflow

installationSuitableTensorflow version of
a tutorial recommends installing the latest version of tensorflow unsafe to do so,
may result in run-time

“Your CPU supports instructions that this TensorFlow binary was not
compiled to use: AVX2 FMA”

caveat

Method a:
Select the appropriate version to download for
the proper method should refer
https://blog.csdn.net/wlwlomo/article/details/82806118

Act II:
Queries can install version

pip install tensorflow==

Select the appropriate version for installation

Check whether the installation was successful

import tensorflow as tf

If there

Conversion of the second argument of issubdtype from float to
np.floating is deprecated. In future, it will be treated as
np.float64 == np.dtype(float).type.

Consider upgrading h5py package:

pip install --upgrade h5py

Reference: https://blog.csdn.net/selfimpro_001/article/details/90174633

If there

importerror: Something is wrong with the numpy installation. While importing we detected an older version of numpy in …One method of fixing this is to repeatedly uninstall numpy until none is found, then reinstall this version.

Repeat

pip uninstall numpy

All versions have to be uninstalled until the numpy

Download numpy

pip install numpy<1.17

Note: There must be <1.17 as of version

pip install numpy==1.16.4

Otherwise there will be error (When this error installed Anaconda in local Win10 systems also appeared to be solved in the same way in tensorflow2 environment)

FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future ver…

Reference
https://blog.csdn.net/mao_hui_fei/article/details/89318038
https://www.jianshu.com/p/945290726335

The issue of virtual environments:

Activating the ambient environment and disposal:

source activate tensorflow
source deactivate tensorflow

Shared environment: the name of the python package environments currently used to package contained.

conda env export > 文件名.yaml

Loading others shared environment.

conda env update -f=/path/文件名.yml

matplotlib library

If there is an error:

ImportError: No module named ‘matplotlib’

Installed in tensorflow environment

python -m pip install matplotlib 

Reference: https://ask.csdn.net/questions/372790

If an error occurs when you call his son Library matplotlib.pyplot:

import matplotlib.pyplot as plt

ImportError: libGL.so.1: cannot open shared object file: No such file or directory

Solution:
Act a :(not suggested

import matplotlib
matplotlib.use("Agg")//默认值为Qt5Agg,适用于有安装图形界面的系统
import matplotlib.pyplot as plt

Reference
https://www.cnblogs.com/ddhj/p/3665141.html

Act II :(recommend

Installation GUI
Reference:
https://support.huaweicloud.com/ecs_faq/ecs_faq_0710.html
https://blog.csdn.net/networken/article/details/88938304

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