Installing own tools#
Adding some packages to existing modules#
Generally easiest option.
CSC Docs: Installing Python packages to existing modules
geoconda, tensorflow, pytorch, python-data etc.
The added package must be available via
pip
.
Tykky#
The easiest way to create an own installation is with Tykky
Tykky has 3 options, new installation based on:
conda
.yml filepip
requirement fileExisting Docker image
LUMI Docs: container-wrapper is the same as Tykky
Do not use “normal” conda installations
“Normal” conda installations create a lot of files - up to hundreds of thousands
Supercomputers do not like too many files
Use Tykky to create containerized conda installation
Other#
CSC Docs: Installing software, inc installing from source, Spack
LUMI Docs: Installing additional software, inc installing from source, EasyBuild
Generally useful? -> ask from servicedesk to install
Installation exercise#
Tykky installation based on existing Docker image#
We will install
lastools
based on pydo’s lastools Docker image.We use the
projappl
disk, which is the best place for software installations.Lastools is in Puhti already available, also as newer Linux-native installation.
During the course we will use interactive job for doing the installation because of 50 persons doing it at the same time. Usually installations are done on login node.
Change the default project and username
project_200xxxx
is example project name, replace with your own CSC project name.cscusername
is example username, replace with your username.
Open Puhti web interface and log in
Open Login node shell
During the course only, open interactive job:
srun --reservation=geocomputing_fri --account=project_2008648 --mem=4000 --ntasks=1 --time=0:20:00 --gres=nvme:4 --pty bash -i
Make Tykky tools available
module load tykky
Create a new directory for the installation and make the folder above it to your working directory
mkdir -p /projappl/project_200xxxx/students/cscusername/lastools
cd /projappl/project_200xxxx/students/cscusername
Create the new instalaltion
wrap-container -w /opt/LAStools docker://pydo/lastools:latest --prefix lastools
-w /opt/LAStools
- where are the tools located inside the container, that should be availabledocker//:pydo/lastools:latest
- the existing Docker iamge--prefix lastools
- location of the new installation
Add the location of your new installation to your PATH. Note that Tykky prints out the correct command for you.
export PATH="/projappl/project_200xxxx/students/cscusername/lastools/bin:$PATH"
Test your new installation.
lasinfo -version
lasinfo -i /appl/data/geo/mml/laserkeilaus/2008_latest/2018/W444/1/W4444G4.laz
PATH setting
PATH defines where system is looking for tools. Changing PATH like above is valid until the Puhti session is alive. PATH (or PYTHONPATH) has to be set each session again, so it is good to add it to your batch job file.