tensorflow:: ops:: Diag

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

Returns a diagonal tensor with a given diagonal values.

Summary

Given a ``` diagonal ``` , this operation returns a tensor with the ``` diagonal ``` and everything else padded with zeros. The diagonal is computed as follows:

Assume ``` diagonal ``` has dimensions [D1,..., Dk], then the output is a tensor of rank 2k with dimensions [D1,..., Dk, D1,..., Dk] where:

``` output[i1,..., ik, i1,..., ik] = diagonal[i1, ..., ik] ``` and 0 everywhere else.

For example:

```# 'diagonal' is [1, 2, 3, 4]
tf.diag(diagonal) ==> [[1, 0, 0, 0]
[0, 2, 0, 0]
[0, 0, 3, 0]
[0, 0, 0, 4]]
```

Args:

• scope: A Scope object
• diagonal: Rank k tensor where k is at most 1.

Returns:

• ``` Output ``` : The output tensor.

Constructors and Destructors

``` Diag (const :: tensorflow::Scope & scope, :: tensorflow::Input diagonal) ```

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

Diag

``` Diag(
const ::tensorflow::Scope & scope,
::tensorflow::Input diagonal
)```

node

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

operator::tensorflow::Input

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

operator::tensorflow::Output

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