Comments (2)
sunyt32
commented on June 2, 2024
It's a little bit complicated. The key idea is to align the normalized computation to be identical to parallel representation. Due to fp16 data range limitation, in chunkwise forward, we have to normalize data range in different part. So, after these modification, the output will be same as totally naive version.
We mention this problem in Retention Score Normalization of our paper.
from torchscale.
Cranial-XIX
commented on June 2, 2024
Thanks a lot!
from torchscale.
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from torchscale.