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TensorFlow 2.0 plans #4
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Hi Nick, thank you for the interest! Yes, I am currently looking at several features to move towards in the future. Tensorflow 2.0 is definitely high up on the to-do list, and more generally optimizing the tensorflow backend (e.g., looking at whether using GPU compute can speed up everything, seeing if any other optimizations can be made in this file). Unfortunately right now I'm a bit busy with other projects and I'm not so very up-to-date on the whole tf1 - tf2 upgrade. I'm also not opposed to the idea of implementing the entire package in a different framework than tensorflow (torch, mxnet, or any other computation graph + autodiff + adam optimizer software) because I am not too sure about the whole If you know how to translate the current state of this package into tensorflow 2.0 I'd be very happy to receive a pull request! One thing on the feature roadmap is casewise / stochastic gradient descent optimization. There is a (kind of old) branch called Ideally, there would be a CRAN release at some point too. |
Bad follow-up on my part. Thanks for updating to version 2.0+. Looking forward to giving this a spin. |
Hi. The tensorsem paper that you put out was an interesting read. Do you have any plans to port this package over to TensorFlow 2.0?
On a related note, do you have a roadmap or plan of what functionality you'd like to add next?
I'm curious because this seems like it'd be a worthwhile project to contribute to.
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