# tensorflow:: ops:: SparseReduceSumSparse

``` #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 contrast to SparseReduceSum , this Op returns a SparseTensor.

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 ``` output_indices
• ``` Output ``` output_values
• ``` Output ``` output_shape

### Constructors and Destructors

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

### Public attributes

``` operation ```
``` Operation ```
``` output_indices ```
``` :: tensorflow::Output ```
``` output_shape ```
``` :: tensorflow::Output ```
``` output_values ```
``` :: tensorflow::Output ```

### Public static functions

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

### Structs

tensorflow:: ops:: SparseReduceSumSparse:: Attrs

Optional attribute setters for SparseReduceSumSparse .

## Public attributes

### operation

`Operation operation`

### output_indices

`::tensorflow::Output output_indices`

### output_shape

`::tensorflow::Output output_shape`

### output_values

`::tensorflow::Output output_values`

## Public functions

### SparseReduceSumSparse

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

### SparseReduceSumSparse

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

## Public static functions

### KeepDims

```Attrs KeepDims(
bool x
)```
[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]
{ "lastModified": "Last updated 2021-05-14 UTC.", "confidential": False }