from fastai.vision.all import *
Install miniconda
Get miniconda Linux installer.
Check sha256sum: sha256sum Miniconda3-latest-Linux-x86_64.sh
Run install: ./Miniconda3-latest-Linux-x86_64.sh -p $HOME/miniconda3
Install fastai
conda create -n fastai python=3.8
conda activate fastai
conda install -c fastai -c pytorch fastai
Install jupyter within fastai environment
conda activate fastai
conda install jupyter
Test fastai installation (valid for v1)
With fastai v1, there was an easy way to check installation:
conda activate fastai
python -m fastai.utils.show_install
get git repo to learn from fastai
From git folder,
git clone https://github.com/fastai/fastai
Test fastai v2 installation
From python environment:
from fastai.vision.all import *
From jupyter notebook
Install nvidia drivers for ubuntu
I tried by downloading a driver from nvidia website. But I was unable to install it (nvidia-drm-drv.c:662:44: error: 'DRIVER_PRIME' undeclared here (not in a function); did you mean 'DRIVER_PCI_DMA'?
)
sudo ubuntu-drivers autoinstall
then rebooting fixed the issue.
Run courses from fastai github repo
just run fastai/dev_nbs/course/lesson1-pets.ipynb
And everything is just fined ;)
install nbdev
This is for rendering reasons: To get a prettier result with hyperlinks to source code and documentation, install nbdev: pip install nbdev
!pip install nbdev
Collecting nbdev
Downloading nbdev-1.0.18-py3-none-any.whl (57 kB)
|████████████████████████████████| 57 kB 1.5 MB/s eta 0:00:01
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Collecting fastscript>=1.0.0
Downloading fastscript-1.0.0-py3-none-any.whl (11 kB)
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Installing collected packages: fastscript, nbdev
Successfully installed fastscript-1.0.0 nbdev-1.0.18