Metadata-Version: 2.1
Name: fastai
Version: 1.0.0b8
Summary: fastai makes deep learning with PyTorch faster, more accurate, and easier
Home-page: https://github.com/fastai/fastai
Author: Jeremy Howard
Author-email: info@fast.ai
License: Apache Software License 2.0
Description: # fastai
        
        The fastai deep learning library. See the [fastai website](http://docs.fast.ai) to get started.
        
        ### Conda Install
        
        To install fastai with pytorch-nightly + CUDA 9.2 simply run:
        
            conda install -c pytorch -c fastai fastai pytorch-nightly cuda92
        
        If your setup doesn't have CUDA support remove the `cuda92` above (in which case you'll only be able to train on CPU, not GPU, which will be much slower). 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`).
        
        NB: We are currently using a re-packaged torchvision in order to support pytorch-nightly, which is required for using fastai.
        
        ### 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.
        
        Next, install a custom `torchvision` build, that is built against `torch_nightly`.
        
            pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ torchvision==0.2.1.post1
        
        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/issues/):
        
            pip install fastai==1.0.0b8
        
         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 fastai==1.0.0b8
        
        ### 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
            cd fastai
            pip install -e .
            tools/run-after-git-clone
        
        Please refer to [CONTRIBUTING.md](https://github.com/fastai/fastai/blob/master/CONTRIBUTING.md) and [the developers guide](http://docs.fast.ai/developers.html) for more details.
        
        ### Copyright
        
        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.
        
        
        # 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
