LayerNorm英文文档修改 (#62928)

1want2sleep · UnityLiker · web-flow · commit e37270180c33 · 2024-03-25T18:17:49.000+08:00
* gray the normalizer_shape... formula in the parameter normalized_shape; fix the Returns based on the Examples

* gray the normalizer_shape... formula in the parameter normalized_shape; fix the Returns based on the Examples

* gray the normalizer_shape... formula in the parameter normalized_shape; fix the Returns based on the Examples

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Co-authored-by: krp &lt;2934631798@qq.com&gt;
diff --git a/python/paddle/nn/layer/norm.py b/python/paddle/nn/layer/norm.py
@@ -573,7 +573,7 @@ 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
@@ -591,7 +591,7 @@ 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:
 
