``` #include <array_ops.h> ```

Pads a tensor with mirrored values.

## Summary

This operation pads a ``` input ``` with mirrored values according to the ``` paddings ``` you specify. ``` paddings ``` is an integer tensor with shape ``` [n, 2] ``` , where n is the rank of ``` input ``` . For each dimension D of ``` input ``` , ``` paddings[D, 0] ``` indicates how many values to add before the contents of ``` input ``` in that dimension, and ``` paddings[D, 1] ``` indicates how many values to add after the contents of ``` input ``` in that dimension. Both ``` paddings[D, 0] ``` and ``` paddings[D, 1] ``` must be no greater than ``` input.dim_size(D) ``` (or ``` input.dim_size(D) - 1 ``` ) if ``` copy_border ``` is true (if false, respectively).

The padded size of each dimension D of the output is:

``` paddings(D, 0) + input.dim_size(D) + paddings(D, 1) ```

For example:

```# 't' is [[1, 2, 3], [4, 5, 6]].
# 'paddings' is [[1, 1]], [2, 2]].
# 'mode' is SYMMETRIC.
# rank of 't' is 2.
[2, 1, 1, 2, 3, 3, 2]
[5, 4, 4, 5, 6, 6, 5]
[5, 4, 4, 5, 6, 6, 5]]
```

Args:

• scope: A Scope object
• input: The input tensor to be padded.
• paddings: A two-column matrix specifying the padding sizes. The number of rows must be the same as the rank of ``` input ``` .
• mode: Either ``` REFLECT ``` or ``` SYMMETRIC ``` . In reflect mode the padded regions do not include the borders, while in symmetric mode the padded regions do include the borders. For example, if ``` input ``` is ``` [1, 2, 3] ``` and ``` paddings ``` is ``` [0, 2] ``` , then the output is ``` [1, 2, 3, 2, 1] ``` in reflect mode, and it is ``` [1, 2, 3, 3, 2] ``` in symmetric mode.

Returns:

• ``` Output ``` : The padded tensor.

### Constructors and Destructors

``` MirrorPad (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input paddings, StringPiece mode) ```

### Public attributes

``` operation ```
``` Operation ```
``` output ```
``` :: tensorflow::Output ```

### Public functions

``` node () const ```
``` ::tensorflow::Node * ```
``` operator::tensorflow::Input () const ```
``` ```
``` operator::tensorflow::Output () const ```
``` ```

## Public attributes

### operation

`Operation operation`

### output

`::tensorflow::Output output`

## Public functions

``` MirrorPad(
const ::tensorflow::Scope & scope,
::tensorflow::Input input,
StringPiece mode
)```

### node

`::tensorflow::Node * node() const `

### operator::tensorflow::Input

` operator::tensorflow::Input() const `

### operator::tensorflow::Output

` operator::tensorflow::Output() const `
[]
[]