Seems this is to using automl to find NN architecture that fits well in certain inference chips. The orthogonal issue is given a trained model how to make it r

Seems this is to using automl to find NN architecture that fits well in certain inference chips. The orthogonal issue is given a trained model how to make it run faster on a given inference chip. Either way, a blog post on Google AI is a symbol that 1% of the work is done, the rest 99% needs more investment from the believers.