Announcement
SGL project adds layer_boundary to make features reusable across models
A contributor says the shared stage boundary covers communication, residual handling, token movement and normalization.
TLDR
An SGL project contributor says layer_boundary puts TP/DP/CP communication, residual handling, token movement and normalization behind a shared stage boundary. They say features such as Attention DP × TP × CP can now be integrated once and reused across many model architectures instead of being reimplemented for each model.
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