fix some python code format

mindspore/nn/layer/basic.py

@@ -398,22 +398,22 @@ class Pad(Cell):
             paddings are int type. For `D` th dimension of input, paddings[D, 0] indicates how many sizes to be
             extended ahead of the `D` th dimension of the input tensor, and paddings[D, 1] indicates how many sizes to
             be extended behind of the `D` th dimension of the input tensor.
-        mode (string): Specifies padding mode. The optional values are "CONSTANT", "REFLECT", "SYMMETRIC".
+        mode (str): Specifies padding mode. The optional values are "CONSTANT", "REFLECT", "SYMMETRIC".
             Default: "CONSTANT".
 
     Inputs:
-        - ** input_x** (Tensor) - The input tensor.
+        - **input_x** (Tensor) - The input tensor.
 
     Outputs:
         Tensor, the tensor after padding.
 
-        - If `mode` is "CONSTANT", it fill the edge with 0, regardless of the values of the `input_x`.
+        - If `mode` is "CONSTANT", it fills the edge with 0, regardless of the values of the `input_x`.
           If the `input_x` is [[1,2,3],[4,5,6],[7,8,9]] and `paddings` is [[1,1],[2,2]], then the
           Outputs is [[0,0,0,0,0,0,0],[0,0,1,2,3,0,0],[0,0,4,5,6,0,0],[0,0,7,8,9,0,0],[0,0,0,0,0,0,0]].
-        - If 'mode` is "REFLECT", it uses a way of symmetrical copying throught the axis of symmetry to fill in,
-          symmetry. If the `input_x` is [[1,2,3],[4,5,6],[7,8,9]] and `paddings` is [[1,1],[2,2]], then the
+        - If `mode` is "REFLECT", it uses a way of symmetrical copying throught the axis of symmetry to fill in.
+          If the `input_x` is [[1,2,3],[4,5,6],[7,8,9]] and `paddings` is [[1,1],[2,2]], then the
           Outputs is [[6,5,4,5,6,5,4],[3,2,1,2,3,2,1],[6,5,4,5,6,5,4],[9,8,7,8,9,8,7],[6,5,4,5,6,5,4]].
-        - If 'mode' is "SYMMETRIC", the filling method is similar to the "REFLECT". It is also copied
+        - If `mode` is "SYMMETRIC", the filling method is similar to the "REFLECT". It is also copied
           according to the symmetry axis, except that it includes the symmetry axis. If the `input_x`
           is [[1,2,3],[4,5,6],[7,8,9]] and `paddings` is [[1,1],[2,2]], then the Outputs is
           [[2,1,1,2,3,3,2],[2,1,1,2,3,3,2],[5,4,4,5,6,6,5],[8,7,7,8,9,9,8],[8,7,7,8,9,9,8]].

mindspore/ops/operations/nn_ops.py

@@ -2320,7 +2320,7 @@ class MirrorPad(PrimitiveWithInfer):
     Pads the input tensor according to the paddings and mode.
 
     Args:
-        mode (string): Specifies padding mode. The optional values are "REFLECT", "SYMMETRIC".
+        mode (str): Specifies padding mode. The optional values are "REFLECT", "SYMMETRIC".
             Default: "REFLECT".
 
     Inputs:
@@ -2334,10 +2334,10 @@ class MirrorPad(PrimitiveWithInfer):
     Outputs:
         Tensor, the tensor after padding.
 
-        - If 'mode` is "REFLECT", it uses a way of symmetrical copying throught the axis of symmetry to fill in,
-          symmetry. If the `input_x` is [[1,2,3],[4,5,6],[7,8,9]] and `paddings` is [[1,1],[2,2]], then the
+        - If `mode` is "REFLECT", it uses a way of symmetrical copying throught the axis of symmetry to fill in.
+          If the `input_x` is [[1,2,3],[4,5,6],[7,8,9]] and `paddings` is [[1,1],[2,2]], then the
           Outputs is [[6,5,4,5,6,5,4],[3,2,1,2,3,2,1],[6,5,4,5,6,5,4],[9,8,7,8,9,8,7],[6,5,4,5,6,5,4]].
-        - If 'mode' is "SYMMETRIC", the filling method is similar to the "REFLECT". It is also copied
+        - If `mode` is "SYMMETRIC", the filling method is similar to the "REFLECT". It is also copied
           according to the symmetry axis, except that it includes the symmetry axis. If the `input_x`
           is [[1,2,3],[4,5,6],[7,8,9]] and `paddings` is [[1,1],[2,2]], then the Outputs is
           [[2,1,1,2,3,3,2],[2,1,1,2,3,3,2],[5,4,4,5,6,6,5],[8,7,7,8,9,9,8],[8,7,7,8,9,9,8]].