fix englishdocs typo error in 8th2s (#49493)

python/paddle/nn/functional/activation.py

@@ -454,12 +454,14 @@ def leaky_relu(x, negative_slope=0.01, name=None):
 
 def prelu(x, weight, data_format="NCHW", name=None):
     """
-    prelu activation.
+    prelu activation. The calculation formula is follows:
 
     .. math::
 
         prelu(x) = max(0, x) + weight * min(0, x)
 
+    x and weight is input Tensor.
+
     Parameters:
         x (Tensor): The input Tensor with data type float32, float64.
         weight (Tensor): The learnable parameter with data type same as ``x``.
@@ -592,8 +594,8 @@ def rrelu(x, lower=1.0 / 8.0, upper=1.0 / 3.0, training=True, name=None):
 
     Parameters:
         x (Tensor): The input Tensor with data type float16, float32, float64.
-        lower (float, optional): The lower bound of uniform distribution. Default: 0.125.
-        upper (float, optional): The upper bound of uniform distribution. Default: 0.333.
+        lower (float, optional): The lower bound of uniform distribution. Default: 1.0/8.0.
+        upper (float, optional): The upper bound of uniform distribution. Default: 1.0/3.0.
         training (bool, optional): Current mode is in training or others.  Default is True.
         name (str, optional): For details, please refer to :ref:`api_guide_Name`. Generally, no setting is required. Default: None.
 
@@ -673,12 +675,14 @@ def rrelu(x, lower=1.0 / 8.0, upper=1.0 / 3.0, training=True, name=None):
 
 def relu(x, name=None):
     """
-    relu activation.
+    relu activation. The calculation formula is follows:
 
     .. math::
 
         out = max(x, 0)
 
+    x is input Tensor.
+
     Parameters:
         x (Tensor): The input Tensor with data type float32, float64.
         name (str, optional): For details, please refer to :ref:`api_guide_Name`. Generally, no setting is required. Default: None.
@@ -900,8 +904,8 @@ def selu(
 
     Parameters:
         x (Tensor): The input Tensor with data type float32, float64.
-        scale (float, optional): The value of scale(must be greater than 1.0) for selu. Default is 1.0507009873554804934193349852946
-        alpha (float, optional): The value of alpha(must be no less than zero) for selu. Default is 1.6732632423543772848170429916717
+        scale (float, optional): The value of scale(must be greater than 1.0) for selu. Default is 1.0507009873554804934193349852946.
+        alpha (float, optional): The value of alpha(must be no less than zero) for selu. Default is 1.6732632423543772848170429916717.
         name (str, optional): For details, please refer to :ref:`api_guide_Name`. Generally, no setting is required. Default: None.
 
     Returns:

python/paddle/nn/layer/activation.py

@@ -356,12 +356,16 @@ class Hardtanh(Layer):
 
 class PReLU(Layer):
     """
-    PReLU Activation.
+    PReLU Activation. The calculation formula is follows:
+
+    If approximate calculation is used:
 
     .. math::
 
         PReLU(x) = max(0, x) + weight * min(0, x)
 
+    x is input Tensor.
+
     Parameters:
         num_parameters (int, optional): Number of `weight` to learn. The supported values are:
             1 - a single parameter `alpha` is used for all input channels;
@@ -479,8 +483,8 @@ class RReLU(Layer):
     :math:`lower` and :math:`upper` are the bounds of uniform distribution.
 
     Parameters:
-        lower (float, optional): The lower bound of uniform distribution. Default: 0.125.
-        upper (float, optional): The upper bound of uniform distribution. Default: 0.333.
+        lower (float, optional): The lower bound of uniform distribution. Default: 1.0/8.0.
+        upper (float, optional): The upper bound of uniform distribution. Default: 1.0/3.0.
         name (str, optional): Name for the operation (optional, default is None).
             For more information, please refer to :ref:`api_guide_Name`.
 
@@ -531,12 +535,14 @@ class RReLU(Layer):
 
 class ReLU(Layer):
     """
-    ReLU Activation.
+    ReLU Activation. The calculation formula is follows:
 
     .. math::
 
         ReLU(x) = max(x, 0)
 
+    x is input Tensor.
+
     Parameters:
         name (str, optional): Name for the operation (optional, default is None).
             For more information, please refer to :ref:`api_guide_Name`.
@@ -577,6 +583,8 @@ class ReLU6(Layer):
 
         ReLU6(x) = min(max(0,x), 6)
 
+    x is input Tensor.
+
     Parameters:
         name (str, optional): Name for the operation (optional, default is None).
             For more information, please refer to :ref:`api_guide_Name`.
@@ -624,8 +632,8 @@ class SELU(Layer):
             \right.
 
     Parameters:
-        scale (float, optional): The value of scale(must be greater than 1.0) for SELU. Default is 1.0507009873554804934193349852946
-        alpha (float, optional): The value of alpha(must be no less than zero) for SELU. Default is 1.6732632423543772848170429916717
+        scale (float, optional): The value of scale(must be greater than 1.0) for SELU. Default is 1.0507009873554804934193349852946.
+        alpha (float, optional): The value of alpha(must be no less than zero) for SELU. Default is 1.6732632423543772848170429916717.
         name (str, optional): Name for the operation (optional, default is None).
             For more information, please refer to :ref:`api_guide_Name`.