Got it. Would you mind sharing some details about the implementation? Or the
branch you’re currently working on?
I’m working on a feature that will be the opposite of what you’re doing:
creating a TF runtime module that will be invoked by the TVM runtime. The RFC
is
[here](http://tracking.di
TVM runtime is designed on top of DLPack, as long as TensorFlow supports
DLPack, we might be able to convert operators back and forth. PyTorch, Chainer
and MXNet has been part of DLPack, but I am not sure if TF has a timeline for
this...
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Topic](http://tracking.discuss.tvm.ai/t
