“Everything being subsumed by TensorFlow” doesn’t seem to me like a particularly worrisome outcome. The status quo is “everything being a Python library,” and people generally seem to view that as positive. The PyData movement brought another level of interoperability to the ecosystem, so you can combine elements from Pandas, SciPy, sklearn, etc with good runtime performance and low cognitive load. Bringing everything into TensorFlow abstractions makes more optimizations possible (especially on heterogeneous architectures), and perhaps even more importantly, makes it easy to run end-to-end gradient descent on compositions of parts from across the ecosystem.
I don't have anything against Tensorflow, but I've learned over the years that it's good to have competition in numerical libraries and software so there's replication of results. Try your analysis using one library, and corroborate it using another one. When a field is dependent on one major piece of software, it's more susceptible to bugs--a programming bug becomes a misguided line of research for a whole field.
Edward has been a promising addition to the PPL landscape. I actually preferred using it with Theano when I used it but that was a year ago, and it seems to have been developing rapidly. I have mixed feelings about this announcement, although to be honest I don't totally even really understand all the implications of it. In some ways I'm not sure how much Edward incrementally adds above and beyond TF; it has occupied a niche between something like TF and Stan or PyMC which is fine enough but I've sometimes wondered if it was sustainable in the long run. I have appreciated it being around, though, and have hoped it would continue to develop.
> it's good to have competition in numerical libraries and software so there's replication of results. Try your analysis using one library, and corroborate it using another one.
and then discover that they are all using netlib/lapack under the hood :b
(Yes, none of these are exactly 1:1 equivalent with numpy, but there absolutely are options. And from my point of view, having some options which aren’t tied to Python is healthy).