Metadata-Version: 2.1
Name: fastai
Version: 1.0.0b7
Summary: fastai makes deep learning with PyTorch faster, more accurate, and easier
Home-page: https://github.com/fastai/fastai_pytorch
Author: Jeremy Howard
Author-email: info@fast.ai
License: Apache Software License 2.0
Description: # fastai
        
        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.
        
        ## Current Status
        
        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.
        
        ## Install
        
        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](https://github.com/ericvsmith/dataclasses): `pip install dataclasses`
        - to use the `pytorch-nightly` conda package, or the master branch of [pytorch master](https://github.com/pytorch/pytorch#from-source)
        - to install [fastprogress](https://github.com/fastai/fastprogress): `pip install fastprogress`
        
        ### PyPI Install
        
        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](https://pytorch.org/get-started/locally/). 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](https://github.com/fastai/fastai_pytorch/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
        
        
        
        ### Conda Install
        
        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 `cuda92` above.
        
        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](https://github.com/fastai/fastai_pytorch/issues/). We are currently using a re-packaged torchvision in order to support pytorch-nightly, which is required for using fastai.
        
        ### Developer Install
        
        First, follow the instructions above for either `PyPi` or `Conda`. Then remove the fastai package (`pip uninstall fastai` or `conda uninstall fastai`) and replace it with a [pip editable install](http://codumentary.blogspot.com/2014/11/python-tip-of-year-pip-install-editable.html):
        
            git clone https://github.com/fastai/fastai_pytorch
            cd fastai_pytorch
            pip install -e .
            tools/run-after-git-clone
        
        Please refer to [CONTRIBUTING.md](https://github.com/fastai/fastai_pytorch/blob/master/CONTRIBUTING.md) and [the developers guide](http://docs.fast.ai/developers.html) for more details.
        
        
        # History
        
        1.0.0.beta1 (2018-09-22)
        ------------------
        
        * First release on PyPI.
        
Keywords: fastai
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.6
Description-Content-Type: text/markdown
