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Update normalization.py

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__mo_san__ 2023-12-18 23:49:52 +01:00 committed by m0saan
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python/mlx/nn/layers/normalization.py
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@ -99,7 +99,7 @@ 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