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
