Wiki source code of Starting Jupyter or Tensorflow

Last modified by Jan Rhebergen on 2022/02/06 13:31
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Jan Rhebergen 1.1 1 = How to start Jupyter =
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3
4 (% class="box infomessage" %)
5 (((
6 **NB**:
Jan Rhebergen 1.2 7
8 * port numbers used below depend on the user! (see [[here>>doc:UOG.Technical Documentation.Nginxproxymanager.WebHome]])
9 * this section requires a preinstalled (configures) ##conda## data-science environmen!
Jan Rhebergen 1.1 10 )))
11
12
13 == Start ==
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15 Open the terminal (on Windows: Start, then cmd and press Enter). When the terminal window opens, type the following command (replace username with own name):
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18 (((
19 ##ssh username@dashy -p 8082##
20 )))
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22 Now you will be asked for the password (this is Beethoven's password), enter the password.
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24 When the password has been entered correctly, you can see that Beethoven is now logged in by (base) ##username@beethoven##. To start the Jupyter environment, enter the following command: ##my_jupyter.sh## and press Enter.
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26 In the browser local on Safari or Chrome the following must now be entered:
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Jan Rhebergen 1.2 28 [[http:~~/~~/117.204.107.243:8887/>>url:http://116.203.106.242:8887/]]
Jan Rhebergen 1.1 29
30 The Jupyter environment will now open.
31
32 == First time access ==
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34 If it is the first time to access this environment, a token must be entered at the top of the web page. The Token (a combination of numbers and/or letters) can be found in the Terminal here:
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36 http://beethoven:8887/?Token=
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38 You can copy the number (after ##Token=##) from the terminal and paste it at the top of the newly opened browser Jupyter page. Paste the number of the Token and press Log in or the Enter key.
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40 The Jupyter environment will now be opened and ready for use.
41
42 == Shut down ==
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44 To exit, you can manually close the browser.
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46 In the terminal, use ##Ctrl+C## and you will see ##username@beethoven## again, after this you type ##"exit"## which will log you out of ##dashy##.
47
48 == Scripts ==
49
50 === Jupyter ===
51
52 This is the ##my_jupyter.sh## shell script used to start a Jupyter session. Every user has a slightly different one due to teh different port number. To let this script remain active even after you log out one can use ##screen##. Just start ##screen## and click through the initial message until you get a command prompt again. Then start the script and detach the session using the ##Ctrl-A D## key combination.
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55 {{{#!/bin/bash
56 source $HOME/miniconda3/etc/profile.d/conda.sh
57 #JBR Activate the desired conda environment (edit if needed).
58 conda activate data-science
59 echo "switching to environment:"
60 echo $CONDA_DEFAULT_ENV
61 echo -e "\nStarting Jupyter,...."
62 echo "When done with your work don't forget to shutdown Jupyter using the web-browser! (Files>Shut Down)"
63 echo "This script can be terminated using Ctrl-C"
64 echo -e "Manually stop/kill hanging processes (if any).\n"
65 #JBR If not properly shutdown use 'ps' and 'kill' to terminate the jupyter-lab process
66 #JBR Remember we reserve port 8888 for the local instance of Jupyter
67 echo "Browse to http://116.203.106.242:8883 to see your notebooks"
68 echo -e "Then copy & paste the token from here and create your own password (only once)\n"
69 #JBR_OFF jupyter-lab --ip 0.0.0.0 --port 8883 --no-browser &
70 jupyter-lab --ip 0.0.0.0 --port 8883 --no-browser
71 #JBR remember to once: ssh-copy-id guul@dashy
Jan Rhebergen 1.2 72 #JBR_OFF ssh guul@117.204.107.243 -N -R \*:8883:localhost:8883
Jan Rhebergen 1.1 73 }}}
74
75 A slightly "better/flexible" version:
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77 (% class="box" %)
78 {{{#!/bin/bash
79 #JBRv a shell proedure to change to the desired datas science directory alternately a . or source command would also work
80 dshome () {
81 cd $HOME/Data-Science
82 }
83
84 source $HOME/miniconda3/etc/profile.d/conda.sh
85 dshome
86
87 #JBR Activate the desired conda environment (edit if needed).
88 conda activate data-science
89
90 echo -e "\nStarting Jupyter,...."
91 echo "When done with your work don't forget to shutdown Jupyter using the web-browser! (Files>Shut Down)"
92 echo "This script can be terminated using Ctrl-C"
93 echo -e "Manually stop/kill hanging processes (if any).\n"
94 #JBR If not properly shutdown use 'ps' and 'kill' to terminate the jupyter-lab process
95 #JBR Remember we reserve port 8888 for the local instance of Jupyter
Jan Rhebergen 1.2 96 echo "Browse to http://117.204.107.243:8889 to see your notebooks"
Jan Rhebergen 1.1 97 echo -e "Then copy & paste the token from here and create your own password (only once)\n"
98 jupyter-lab --ip 0.0.0.0 --port 8889 --no-browser
99 #JBR_OFF jupyter-lab --ip 0.0.0.0 --port 8889 --no-browser &
Jan Rhebergen 1.2 100 #JBR_OFF ssh jan@117.204.107.243 -N -R \*:8889:localhost:8889
Jan Rhebergen 1.1 101 }}}
102
103 === Tensorman ===
104
105 Here's ##my_tensorman_plain.sh## which does not start ##jupyter##:
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107 (% class="box" %)
108 {{{#!/bin/sh
109 cd $HOME/project
110 tensorman =jupyter-lab-gpu run -p 8889:8889 --gpu --python3 --name $USER bash
111 }}}
112
113 Here's the versioen that also starts ##jupyter## which usually is what we want:
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115 (% class="box" %)
116 {{{#!/bin/sh
117 cd $HOME/project
118 tensorman =jupyter-lab-gpu run -p 8889:8889 --gpu --python3 --jupyter --name $USER bash
119 }}}

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