Caffe

Deep learning framework developed by Yangqing Jia / BVLC

Development

Caffe is developed with active participation of the community.
The BVLC maintainers welcome all contributions!

The exact details of contributions are recorded by versioning and cited in our acknowledgements. This method is impartial and always up-to-date.

License

Caffe is licensed under the terms in LICENSE. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

Caffe uses a shared copyright model: each contributor holds copyright over their contributions to Caffe. The project versioning records all such contribution and copyright details.

If a contributor wants to further mark their specific copyright on a particular contribution, they should indicate their copyright solely in the commit message of the change when it is committed. Do not include copyright notices in files for this purpose.

Documentation

This website, written with Jekyll, functions as the official Caffe documentation – simply run scripts/build_docs.sh and view the website at http://0.0.0.0:4000.

We prefer tutorials and examples to be documented close to where they live, in readme.md files. The build_docs.sh script gathers all examples/**/readme.md and examples/*.ipynb files, and makes a table of contents. To be included in the docs, the readme files must be annotated with YAML front-matter, including the flag include_in_docs: true. Similarly for IPython notebooks: simply include "include_in_docs": true in the "metadata" JSON field.

Other docs, such as installation guides, are written in the docs directory and manually linked to from the index.md page.

We strive to provide provide lots of usage examples, and to document all code in docstrings. We absolutely appreciate any contribution to this effort!

The release cycle

Issues & Pull Request Protocol

Use Github Issues to report bugs, propose features, and ask development questions. Large-scale development work is guided by milestones, which are sets of Issues selected for concurrent release (integration from dev to master).

Please note that since the core developers are largely researchers, we may work on a feature in isolation for some time before releasing it to the community, so as to claim honest academic contribution. We do release things as soon as a reasonable technical report may be written, and we still aim to inform the community of ongoing development through Github Issues.

When you are ready to start developing your feature or fixing a bug, follow this protocol:

Below is a poetic presentation of the protocol in code form.

Shelhamer’s “life of a branch in four acts”

Make the feature branch off of the latest bvlc/dev git checkout dev git pull upstream dev git checkout -b feature # do your work, make commits

Prepare to merge by rebasing your branch on the latest bvlc/dev # make sure dev is fresh git checkout dev git pull upstream dev # rebase your branch on the tip of dev git checkout feature git rebase dev

Push your branch to pull request it into dev git push origin feature # ...make pull request to dev...

Now make a pull request! You can do this from the command line (git pull-request -b dev) if you install hub.

The pull request of feature into dev will be a clean merge. Applause.

Testing

Run make runtest to check the project tests. New code requires new tests. Pull requests that fail tests will not be accepted.

The googletest framework we use provides many additional options, which you can access by running the test binaries directly. One of the more useful options is --gtest_filter, which allows you to filter tests by name:

# run all tests with CPU in the name
build/test/test_all.testbin --gtest_filter='*CPU*'

# run all tests without GPU in the name (note the leading minus sign)
build/test/test_all.testbin --gtest_filter=-'*GPU*'

To get a list of all options googletest provides, simply pass the --help flag:

build/test/test_all.testbin --help

Style