einorm
An einops-style generalized normalization layer.
Installation
You need torch >= 1.13 or functorch to be installed:
pip install einorm
Usage
from einorm import Einorm
# Equivalent to nn.LayerNorm(1024)
Einorm("b n d", "d", d=1024)
# Specify the dimensions and sizes to normalize along.
Einorm("a b c d e", "b d", b=3, d=4)
According to ViT-22B, normalizing query and key in a head-wise fashion can help stabilize the training dynamics. This can be achieved by providing additional grouping arguments to Einorm:
Einorm("b h n d", "d", "h", h=16, d=64) # num_heads=16, head_dim=64
1 maintainer
Metadata
1 maintainer
Release files for einorm 0.1.1
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