On 04/03/2024 18.44, Ben Beasley wrote: > If you want to apply additional review to neural net coefficients, I > suppose you might as well start with those already packaged in > stockfish[1]. (I CC’d the stockfish-maintainers email alias to loop in > the primary maintainer. I am a co-maintainer, and I did the original > package review.) > > Stockfish is a state-of-the-art chess engine. The code is licensed > GPL-3.0-or-later, but it requires two pre-trained neural network > coefficient files to function. These coefficient files are selected from > those at [2], all licensed CC0-1.0, and they are compiled into the > binaries rather than shipped as separate files. This is quite consistent > with treating them as content; there is a long history of including > content – like graphics, audio, or text files – as data in compiled > executables. > > The Fedora package always uses the “default” coefficient sets for a > particular release of Stockfish, as defined in [3]. > > – Ben Beasley (FAS: music) > > [1] https://src.fedoraproject.org/rpms/stockfish > > [2] https://tests.stockfishchess.org/nns > > [3] > https://github.com/official-stockfish/Stockfish/blob/e67cc979fd2c0e66dfc2b2f2daa0117458cfc462/src/evaluate.h#L42-L43 > > On 3/1/24 5:19 PM, Richard Fontana wrote: >> Following Tim's explanations of various things, here are revised >> answers to the questions: >> >> On Mon, Feb 26, 2024 at 6:32 PM Tim Flink<tflink@xxxxxxxxxxxxxxxxx> >> wrote: >> >>> Questions >>> ========= >>> >>> 1. Are pre-trained weights considered to be normal non-code >>> content/data or do they require special handling? >> For Fedora license classification purposes, they should be considered >> "content". However, I think for any specific pre-trained weights that >> will actually be included in Fedora packages, for some initial period >> I'd like to do some further review (as noted upthread, because this is >> an important policy area and we don't have a lot of prior experience >> in it). I don't really care how that's done, that could be through >> this list or a Bugzilla or whatever. >> >> We'll add "pre-trained weights" to the list of examples of what >> "content" is in the Fedora legal docs. >> >>> 2. If an upstream offers pre-trained weights and indicates that those >>> weights are available under a license which is acceptable for >>> non-code content in Fedora, can those pre-trained weights be included >>> in Fedora packages? >> Yes subject to my answer to 1. For data driven models such as pre-trained weights, some knowledge about the data used for the training is required. It would be good to have some consideration of this, for example is a neural network code generator which uses GPL code as training data also under GPL? >> >>> 3. Extending question 2, is it considered sufficient for an upstream >>> to have a license on pre-trained weights or would a packager/reviewer >>> need to verify that the data used to train those weights is acceptable? >> A packager/reviewer should not need to do that verification, which >> seems highly impractical (which is a point I think you may have >> previously made). However, that could be an aspect of the "initial >> legal review" I'm suggesting we may want to have for such cases. >> >>> 4. Is it acceptable to package code which downloads pre-trained >>> weights from a non-Fedora source upon first use post-installation by >>> a user if that model and its associated weights are >>> a. For a specific model? >>> b. For a user-defined model which may or may not exist at the >>> time of packaging? >> Given your explanations of these cases, I think this is pretty >> straightforward. >> 4a: Yes >> 4b: Yes >> >> These answers only go to matters of Fedora legal/licensing policy. If >> there are technical issues raised by these questions (for example, if >> there ought to be some standards around packaging of upstream >> pre-trained weights) I can't give guidance or informed opinions on >> that beyond my initial suggestion to raise this topic with FESCo which >> seems to have been unsuccessful. >> >> Richard >> -- -- _______________________________________________ legal mailing list -- legal@xxxxxxxxxxxxxxxxxxxxxxx To unsubscribe send an email to legal-leave@xxxxxxxxxxxxxxxxxxxxxxx Fedora Code of Conduct: https://docs.fedoraproject.org/en-US/project/code-of-conduct/ List Guidelines: https://fedoraproject.org/wiki/Mailing_list_guidelines List Archives: https://lists.fedoraproject.org/archives/list/legal@xxxxxxxxxxxxxxxxxxxxxxx Do not reply to spam, report it: https://pagure.io/fedora-infrastructure/new_issue
