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accross -> across (#183)

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This commit is contained in:
Víctor Aguilar
2023-12-15 13:46:50 -08:00
committed by GitHub
parent e28b57e371
commit f24200db2c
4 changed files with 4 additions and 4 deletions
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python/mlx/nn/layers/normalization.py
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@@ -97,7 +97,7 @@ class GroupNorm(Module):
where :math:`\gamma` and :math:`\beta` are learned per feature dimension
parameters initialized at 1 and 0 respectively. However, the mean and
variance are computed over the spatial dimensions and each group of
features. In particular, the input is split into num_groups accross the
features. In particular, the input is split into num_groups across the
feature dimension.
The feature dimension is assumed to be the last dimension and the dimensions