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How to use Cross Replica / Synchronized Batchnorm in Pytorch
your explaination is very helpful. But I still could not implement it. Could you please give an example? Thanks.
Hi, thanks for the nice guide here. Really saves me lots of time.
I have another question about saving/loading the model and validating.
From the imagenet example > https://github.com/pytorch/examples/blob/master/imagenet/main.py
We only need to save our model once on only rank0 device, right?
And I wrote another standalone script for validating on one gpu only (with batchsize=1), do we still need to warp it up with distributed parallel and convert the model to use syncbn?
Many thx!
for example, I want to use gpu2, gpu4, gpu5 to train the net, how can I set ?
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