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When running train.py, why can't I get the same high accuracy as in train_search.py? #1

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liqier opened this issue May 23, 2021 · 1 comment

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@liqier
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liqier commented May 23, 2021

Thanks for your work!
One question I hope can be answered: for the same data set and parameter settings, I run train.py with the best cell obtained by train_search.py. Why can't I get the same high accuracy as in train_search.py?
Look forward to your reply.

@serser
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serser commented Jun 1, 2021

@liqier Are you referring to the supernet performance (train_search) vs. subnet performance (best cell)? Supernet is a tool for us to find the best cell (what we care), we shall not expect the two have the exact same accuracy.

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