# tensorflow:: ops:: SparseReduceSum

``` #include <sparse_ops.h> ```

Computes the sum of elements across dimensions of a SparseTensor.

## Summary

This Op takes a SparseTensor and is the sparse counterpart to ``` tf.reduce_sum() ``` . In particular, this Op also returns a dense ``` Tensor ``` instead of a sparse one.

Reduces ``` sp_input ``` along the dimensions given in ``` reduction_axes ``` . Unless ``` keep_dims ``` is true, the rank of the tensor is reduced by 1 for each entry in ``` reduction_axes ``` . If ``` keep_dims ``` is true, the reduced dimensions are retained with length 1.

If ``` reduction_axes ``` has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, which are interpreted according to the indexing rules in Python.

Args:

• scope: A Scope object
• input_indices: 2-D. ``` N x R ``` matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.
• input_values: 1-D. ``` N ``` non-empty values corresponding to ``` input_indices ``` .
• input_shape: 1-D. Shape of the input SparseTensor.
• reduction_axes: 1-D. Length- ``` K ``` vector containing the reduction axes.

Optional attributes (see ``` Attrs ``` ):

• keep_dims: If true, retain reduced dimensions with length 1.

Returns:

• ``` Output ``` : ``` R-K ``` -D. The reduced Tensor .

### Constructors and Destructors

``` SparseReduceSum (const :: tensorflow::Scope & scope, :: tensorflow::Input input_indices, :: tensorflow::Input input_values, :: tensorflow::Input input_shape, :: tensorflow::Input reduction_axes) ```
``` SparseReduceSum (const :: tensorflow::Scope & scope, :: tensorflow::Input input_indices, :: tensorflow::Input input_values, :: tensorflow::Input input_shape, :: tensorflow::Input reduction_axes, const SparseReduceSum::Attrs & attrs) ```

### Public attributes

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

### Public functions

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

### Public static functions

``` KeepDims (bool x) ```
``` Attrs ```

### Structs

tensorflow:: ops:: SparseReduceSum:: Attrs

Optional attribute setters for SparseReduceSum .

## Public attributes

### operation

`Operation operation`

### output

`::tensorflow::Output output`

## Public functions

### SparseReduceSum

``` SparseReduceSum(
const ::tensorflow::Scope & scope,
::tensorflow::Input input_indices,
::tensorflow::Input input_values,
::tensorflow::Input input_shape,
::tensorflow::Input reduction_axes
)```

### SparseReduceSum

``` SparseReduceSum(
const ::tensorflow::Scope & scope,
::tensorflow::Input input_indices,
::tensorflow::Input input_values,
::tensorflow::Input input_shape,
::tensorflow::Input reduction_axes,
const SparseReduceSum::Attrs & attrs
)```

### node

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

### operator::tensorflow::Input

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

### operator::tensorflow::Output

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

## Public static functions

### KeepDims

```Attrs KeepDims(
bool x
)```
[]
[]