# tensorflow::ops::Cumsum

`#include <math_ops.h>`

Compute the cumulative sum of the tensor `x` along `axis`.

## Summary

By default, this op performs an inclusive cumsum, which means that the first element of the input is identical to the first element of the output: ```prettyprint tf.cumsum([a, b, c]) ==> [a, a + b, a + b + c] ```

By setting the `exclusive` kwarg to `True`, an exclusive cumsum is performed instead: ```prettyprint tf.cumsum([a, b, c], exclusive=True) ==> [0, a, a + b] ```

By setting the `reverse` kwarg to `True`, the cumsum is performed in the opposite direction: ```prettyprint tf.cumsum([a, b, c], reverse=True) ==> [a + b + c, b + c, c] ``` This is more efficient than using separate`tf.reverse` ops.

The `reverse` and `exclusive` kwargs can also be combined: ```prettyprint tf.cumsum([a, b, c], exclusive=True, reverse=True) ==> [b + c, c, 0] ```

Arguments:

Returns:

• `Output`: The out tensor.

### Constructors and Destructors

`Cumsum(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis)`
`Cumsum(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const Cumsum::Attrs & attrs)`

### Public attributes

`out`
`::tensorflow::Output`

### Public functions

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

### Public static functions

`Exclusive(bool x)`
`Attrs`
`Reverse(bool x)`
`Attrs`

### Structs

tensorflow::ops::Cumsum::Attrs

Optional attribute setters for Cumsum.

## Public attributes

### out

`::tensorflow::Output out`

## Public functions

### Cumsum

``` Cumsum(
const ::tensorflow::Scope & scope,
::tensorflow::Input x,
::tensorflow::Input axis
)```

### Cumsum

``` Cumsum(
const ::tensorflow::Scope & scope,
::tensorflow::Input x,
::tensorflow::Input axis,
const Cumsum::Attrs & attrs
)```

### node

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

### operator::tensorflow::Input

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

### operator::tensorflow::Output

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

## Public static functions

### Exclusive

```Attrs Exclusive(
bool x
)```

### Reverse

```Attrs Reverse(
bool x
)```