rcurtin_irc changed the topic of #mlpack to: mlpack: a scalable machine learning library (https://www.mlpack.org/) -- channel logs: https://libera.irclog.whitequark.org/mlpack -- NOTE: messages sent here might not be seen by bridged users on matrix, gitter, or slack
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<jonpsy[m]> Still stuck?
<EshaanAgarwal[m]> <jonpsy[m]> "Still stuck?" <- almost done. actually the weight-translator repo's cpp part was not adapted to current codebase (we had some refactor in ann part) of mlpack so i was facing some difficulties. working on making things work
<jonpsy[m]> Got it, I'm not sure in this area myself. Perhaps zoq can help you here.
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<jjb[m]> For the PyTorch portion, you’ve flipped the network into `eval()` mode or are you using the with `no_grad()` option?
<jjb[m]> zoq do you folks have an ETA on `mlpack` v4 or a new ensmallen release?
<rcurtin[m]> We're close!! I think I have maybe one or two more PRs before all the refactoring is done. I think by the end of September is reasonable
<jjb[m]> ryan awesome! Do you need any 👀 on the R portion of `mlpack`?
<rcurtin[m]> Maybe? I actually think not too much will change there. `libmlpack.so` is gone, but there is still a library for each individual binding, so that is unchanged.