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Posted to dev@tvm.apache.org by Kovas Boguta <no...@github.com> on 2019/04/20 18:13:45 UTC

Re: [dmlc/tvm] [RFC] Support Tensorflow Op Bridge (#3059)

Thanks for taking a look at this! And btw huge fan of all your other work :D 

I would love to have DLPack support directly in TF and agree that would make this ask easier. 

However I'd like to point out an alternative path that has some advantages from a project management / open source collaboration POV. 

Getting DLPack support merged into TF is likely 10x more work than support level 1 described above. And in fact, just getting some minimal example working would be a useful step towards the more general solution, both in making issues more explicit, but also in terms of providing raw material for those who may be more expert in TF to pick up and polish further. 

So DLPack-in-TF is not strictly a hard requirement, and it might be useful to try to do this the other way around. 

Thanks!




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