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This repository has been archived by the owner on Sep 18, 2024. It is now read-only.
I managed to run NAS using DARTs strategy and one-shot. As far as I can tell, I had to modify examples to exclude logging of intermediate results because these are not use, which wasn't clear from the beginning. So it is optimizing using gradients. But than final model when I try to train it, performs terribly. Can I make it such that it optimizes the model on the accuracy using the same approach? What alternatives do I have ?
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Hi,
I managed to run NAS using DARTs strategy and one-shot. As far as I can tell, I had to modify examples to exclude logging of intermediate results because these are not use, which wasn't clear from the beginning. So it is optimizing using gradients. But than final model when I try to train it, performs terribly. Can I make it such that it optimizes the model on the accuracy using the same approach? What alternatives do I have ?
Thanks
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