# 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 />

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.0/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/r2.0/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/r2.0/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1a2ff08591126639a356e8ddb7b1bbe901(const ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1aefc6c0270b1e5a8ecca5253aa3197301` | `::https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1a2ee7a3d61dc294c15227bb4a4fd796fb` | `https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/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/r2.0/api_docs/cc/class/tensorflow/ops/matrix-diag-part#classtensorflow_1_1ops_1_1_matrix_diag_part_1ab168eaa21921f9a0ff6ca197fbbbd8da() const ` | ` `` ` |
| `https://www.tensorflow.org/versions/r2.0/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 
```