Installing on offline computer

sebbecht · November 2, 2020, 1:28pm

Hi there,

So I need to install fastai2 and its dependencies on a computer which is not (allowed) on the internet.

I came across this link, but I am still unsure whether I could alter this to work offline:

gist.github.com

https://gist.github.com/roebius/991203e11687944f7ffcaec68f5526d4

0.fastai-env-install.sh

source ./1.install-utils.sh
source ./2.install-cuda_8.sh
source ./3.install-repos.sh
source ./4.install-anaconda-env.sh

1.install-utils.sh

# set LC_ALL in /etc/default/locale
cp /etc/default/locale .
echo "LC_ALL=\"en_US.UTF-8\"" >> locale
sudo cp locale /etc/default/locale
rm locale

# insert here the installation of any optional utility libraries
sudo apt --assume-yes install tmux
sudo apt --assume-yes install unzip
sudo apt --assume-yes install ffmpeg

2.install-cuda_8.sh

# This script assumes that the file cudnn-8.0-linux-x64-v7.tgz is already present in the same directory,
# the file can be found at https://developer.nvidia.com/rdp/cudnn-download after registering with Nvidia.
# Also it is assumed that the requirements for CUDA 8 installations are already met.

# ensure system is updated and has basic build tools
sudo apt update
sudo apt --assume-yes upgrade
sudo apt --assume-yes install build-essential gcc g++ make binutils
sudo apt --assume-yes install software-properties-common git

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I would of course start by installing ubuntu. The scripts does “wget” a few cuda files I could download and transfer.

then it git clones fastai, but will this give something that I can easily transfer through USB?
I can see it also wgets weights, which I assume are the pretrained weights which it normally downloads when you create a pre-trained learner the first time.

Lastly it wgets anaconda, which i can also download and transfer.

All the files I pre-download and transfer, do they have to be in a certain location for ubuntu to find it? I assume the scripts also download pytorch, which I guess are in the fastai git clone.

Any other suggestions as to how I can install are welcomed.