DataParallel (multi-gpu) support #3
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added 2 commits
March 15, 2017 18:05
- scale batch size with ngpu - call plot.py with the batchsize so that it can scale it's rolling N value accordingly (and not break when batchsize is greater than 64) - add optional kaiming initialization - do weight initialization in train.py as opposed to the network constructor
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This re-factoring may well be too intrusive for your taste. I wanted to quickly test DataParallel support on a network that I knew worked well before applying it to my own work. I hope it's useful to you.