alexfjw / prunnable-layers-pytorch Goto Github PK
View Code? Open in Web Editor NEWPrunable nn layers for pytorch.
License: GNU General Public License v3.0
Prunable nn layers for pytorch.
License: GNU General Public License v3.0
It seems that in this line, taylor_estimates
is overwritten after every pass. But I believe the channel ranking should be based on not just one pass but the average of multiple passes. How is this managed in the current implementation? Is it the case that the logic to calculate aggregate ranking can be implemented outside this model?
Thanks for the code by the way. It's pretty helpful.
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