fastai makes deep learning with PyTorch faster, more accurate, and easier
The fastai deep learning library.
Copyright 2017 onwards, fast.ai, Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. A copy of the License is provided in the LICENSE file in this repository.
This is a ground-up rewrite of fastai. Everything should work, although docs are still in progress. If you're interested in contributing, join the discussion at: http://forums.fast.ai/c/fastai-dev.
To use the notebooks or the beta version of the fastai modules you will need:
- to use python 3.7 or python 3.6 with dataclasses:
pip install dataclasses
- to use the
pytorch-nightlyconda package, or the master branch of pytorch master
- to install fastprogress:
pip install fastprogress
First install the nightly
pytorch build, e.g. for CUDA 9.2:
pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cu92/torch_nightly.html
If you have a different CUDA version find the right build here. Choose Preview/Linux/Pip/python3.6|python3.7 and Your CUDA version and it will give you the correct install instruction.
Now you can install
fastai. Note, that this is a beta test version at the moment, please report any issues:
pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ fastai==1.0.0b6
Sometimes, the last
pip command still tries to get
torch-0.4.1. If that happens to you, do:
pip uninstall torchvision fastai pip install --no-deps torchvision pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ fastai==1.0.0b6
To install fastai with CUDA 9.2 simply run (read the paragraph after this for other GPU and CPU options):
conda install -c pytorch -c fastai/label/test fastai cuda92
If your setup doesn't have CUDA support remove the
For different versions of the CUDA toolkit, you'll need to install the appropriate CUDA conda package based on what you've got installed on your system (i.e. instead of
cuda92 in the above, pick the appropriate option for whichever toolkit version you have installed; to see a list of options type:
conda search "cuda*" -c pytorch).
Note, that this is a beta test version at the moment, please report any issues. We are currently using a re-packaged torchvision in order to support pytorch-nightly, which is required for using fastai.
First, follow the instructions above for either
Conda. Then remove the fastai package (
pip uninstall fastai or
conda uninstall fastai) and replace it with a pip editable install:
git clone https://github.com/fastai/fastai_pytorch cd fastai_pytorch pip install -e . tools/run-after-git-clone
- First release on PyPI.
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