提交 6a8cd83d 编写于 作者: M mindspore-ci-bot 提交者: Gitee

!1114 fix some python code format

Merge pull request !1114 from casgj/gaojing
......@@ -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]].
......
......@@ -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]].
......
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