DER-ClassIL.pytorch
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Pruning and its real final parameters count and latency
Hello,
Followings our emails, can you provide at some point:
- the pruning implementation (which is core to your method)
- the final parameters count (in all settings and datasets), and not the average over all steps
- same for the latency, or at least the overhead in % induced after each task
Thank you very much!