!49577 fixed_some_comment

Merge pull request !49577 from yide12/code_docs_nn_master

docs/api/api_python/nn/mindspore.nn.Dropout.rst

@@ -15,7 +15,7 @@ mindspore.nn.Dropout
 
     参数：
         - **keep_prob** (float) - 废弃。输入神经元保留率，数值范围介于(0, 1]之间。例如，`keep_prob` =0.9，删除10%的神经元。默认值：0.5。
-        - **p** (Union(float, int, None)) - 输入神经元丢弃率，数值范围介于[0, 1)之间。例如，`p` =0.9，删除90%的神经元。默认值：None。
+        - **p** (Union[float, int, None]) - 输入神经元丢弃率，数值范围介于[0, 1)之间。例如，`p` =0.9，删除90%的神经元。默认值：None。
 
     输入：
         - **x** (Tensor) - Dropout的输入，任意维度的Tensor。数据类型必须为float16或float32。

mindspore/python/mindspore/nn/layer/basic.py

@@ -129,7 +129,7 @@ class Dropout(Cell):
     Args:
         keep_prob (float): Deprecated. The keep rate, greater than 0 and less equal than 1.
             E.g. rate=0.9, dropping out 10% of input neurons. Default: 0.5.
-        p (Union(float, int, None)): The dropout rate, greater than or equal to 0 and less than 1.
+        p (Union[float, int, None]): The dropout rate, greater than or equal to 0 and less than 1.
             E.g. rate=0.9, dropping out 90% of input neurons. Default: None.
 
     Inputs:

mindspore/python/mindspore/ops/function/nn_func.py

@@ -3475,7 +3475,7 @@ def leaky_relu(x, alpha=0.2):
 
     Examples:
         >>> x = Tensor(np.array([[-1.0, 4.0, -8.0], [2.0, -5.0, 9.0]]), mindspore.float32)
-        >>> print(ops.leaky_relu(x, negative_slope=0.2))
+        >>> print(ops.leaky_relu(x, alpha=0.2))
         [[-0.2  4.  -1.6]
          [ 2.  -1.   9. ]]
     """