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luotao1 merged 3 commits into from
Mar 25, 2024
Merged

LayerNorm英文文档修改 #62928

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gray the normalizer_shape... formula in the parameter normalized_shap…
UnityLiker Mar 21, 2024
710349b
gray the normalizer_shape... formula in the parameter normalized_shap…
UnityLiker Mar 21, 2024
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gray the normalizer_shape... formula in the parameter normalized_shap…
UnityLiker Mar 21, 2024
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4 changes: 2 additions & 2 deletions python/paddle/nn/layer/norm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -609,7 +609,7 @@ class LayerNorm(Layer):

Parameters:
normalized_shape(int|list|tuple): Input shape from an expected input of
size :math:`[*, normalized_shape[0], normalized_shape[1], ..., normalized_shape[-1]]`.
size ``[*, normalized_shape[0], normalized_shape[1], ..., normalized_shape[-1]]`` .
If it is a single integer, this module will normalize over the last dimension
which is expected to be of that specific size.
epsilon(float, optional): The small value added to the variance to prevent
Expand All @@ -627,7 +627,7 @@ class LayerNorm(Layer):
- output: same shape as input x.

Returns:
None
``Tensor`` , the dimension is the same as :attr:`x`, but the internal values have been normalized by ``LayerNorm`` .

Examples:

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