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Thanks for the nice implementation in pytorch, which made easier for me to learn.
Regarding chief.py implementation, I got a question about updates to global weights. From Algorithm Pseudocode in the paper, it seems to use averaged gradients from workers to update the global weights, but chief.py looks using sum of worker's gradients? Thanks.