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.
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
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