# tensorflow::ops::MatrixDiagPart Class Reference

# tensorflow::
ops::
MatrixDiagPart

`
#include <array_ops.h>
`


Returns the batched diagonal part of a batched tensor.

## Summary


This operation returns a tensor with the
`
diagonal
`
part of the batched
`
input
`
. The
`
diagonal
`
part is computed as follows:


Assume
`
input
`
has
`
k
`
dimensions
`
[I, J, K, ..., M, N]
`
, then the output is a tensor of rank
`
k - 1
`
with dimensions
`
[I, J, K, ..., min(M, N)]
`
where:


`
diagonal[i, j, k, ..., n] = input[i, j, k, ..., n, n]
`
.


The input must be at least a matrix.


For example:


```
# 'input' is [[[1, 0, 0, 0]
               [0, 2, 0, 0]
               [0, 0, 3, 0]
               [0, 0, 0, 4]],
              [[5, 0, 0, 0]
               [0, 6, 0, 0]
               [0, 0, 7, 0]
               [0, 0, 0, 8]]]
```

<br />


```
and input.shape = (2, 4, 4)
```

<br />


```
tf.matrix_diag_part(input) ==> [[1, 2, 3, 4], [5, 6, 7, 8]]
```

<br />


```
which has shape (2, 4)
```

<br />


Args:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object
- input: Rank `
  k
  ` tensor where `
  k >= 2
  ` .

<br />


Returns:

- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` : The extracted diagonal(s) having shape `
  diagonal.shape = input.shape[:-2] + [min(input.shape[-2:])]
  ` .

<br />

| ### Constructors and Destructors ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1a2ff08591126639a356e8ddb7b1bbe901 (const :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input) ` ||

| ### Public attributes ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1aefc6c0270b1e5a8ecca5253aa3197301 ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1a2ee7a3d61dc294c15227bb4a4fd796fb ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation ` |

| ### Public functions ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1a6310cbc4148604ca613410d6d3f6794e () const ` | ` ::tensorflow::Node * ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1ab168eaa21921f9a0ff6ca197fbbbd8da () const ` | ` ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1a6ac92f6b3dfd62c3ef3c08777c62d543 () const ` | ` ` |

## Public attributes

### diagonal

```
::tensorflow::Output diagonal
```

### operation

```
Operation operation
```

## Public functions

### MatrixDiagPart

```
 MatrixDiagPart(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input
)
```

### node

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

### operator::tensorflow::Input

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

### operator::tensorflow::Output

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