Istavan, This sounds useful to me, and would encourage you to contribute it. It's always helpful if you describe one or two use cases for the contribution (e.g. models/problems where these loss functions are useful) - this stimulates interest.
Can you share the link to the PR that got zero attention? I'm happy to help. Hagay On Thu, Jan 3, 2019 at 9:52 AM István Fehérvári <[email protected]> wrote: > Hello developers, > > > > I am working on metric learning currently and so I ported all tensorflow > metric learning loss functions to mxnet (gluon) ( > > https://www.tensorflow.org/api_docs/python/tf/contrib/losses/metric_learning > ). > > Before I put some work into making it PR-able, is there any interest in an > mxnet (contrib) loss module or I should not bother trying to merge it? > > > > The reason I ask is that I see that we have a LOT of open PRs that get 0 > attention and I do not want to invest time into a feature that will never > make it. E.g. my last PR on a new operator was opened ~3 weeks ago and > still no review or comment. > > > > Thanks a lot, > > Istvan >
