Comments (3)
You are right, on first sight, the Stem layers need an additional padding='1'
(all convolutions with kernel size 3).
I will take a closer look soon.
It is constant, because I did not implement something fancier yet. What do you think it should be?
Thank you!
from nfnets_pytorch.
You are right, on first sight, the Stem layers need an additional
padding='1'
(all convolutions with kernel size 3).
I will take a closer look soon.It is constant, because I did not implement something fancier yet. What do you think it should be?
Thank you!
when kernel size is 3, padding should be different, because stride is 1 or 2.
I see the author's code learning rate is changed by warm up cosine decay.
I also want to know if I train with multiple gpus, how to change batch size.
from nfnets_pytorch.
This repo does not support multi gpu training, you can only reuse the model code for that.
from nfnets_pytorch.
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from nfnets_pytorch.