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# tensorflow:: ops:: SparseMatMul

``` #include <math_ops.h> ```

Multiply matrix "a" by matrix "b".

## Summary

The inputs must be two-dimensional matrices and the inner dimension of "a" must match the outer dimension of "b". Both "a" and "b" must be ``` Tensor ``` s not ``` SparseTensor ``` s. This op is optimized for the case where at least one of "a" or "b" is sparse, in the sense that they have a large proportion of zero values. The breakeven for using this versus a dense matrix multiply on one platform was 30% zero values in the sparse matrix.

The gradient computation of this operation will only take advantage of sparsity in the input gradient when that gradient comes from a Relu .

Args:

Returns:

• ``` Output ``` : The product tensor.

### Constructors and Destructors

``` SparseMatMul (const :: tensorflow::Scope & scope, :: tensorflow::Input a, :: tensorflow::Input b) ```
``` SparseMatMul (const :: tensorflow::Scope & scope, :: tensorflow::Input a, :: tensorflow::Input b, const SparseMatMul::Attrs & attrs) ```

### Public attributes

``` operation ```
``` Operation ```
``` product ```
``` :: tensorflow::Output ```

### Public functions

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

### Public static functions

``` AIsSparse (bool x) ```
``` Attrs ```
``` BIsSparse (bool x) ```
``` Attrs ```
``` TransposeA (bool x) ```
``` Attrs ```
``` TransposeB (bool x) ```
``` Attrs ```

### Structs

tensorflow:: ops:: SparseMatMul:: Attrs

Optional attribute setters for SparseMatMul .

## Public attributes

### operation

`Operation operation`

### product

`::tensorflow::Output product`

## Public functions

### SparseMatMul

``` SparseMatMul(
const ::tensorflow::Scope & scope,
::tensorflow::Input a,
::tensorflow::Input b
)```

### SparseMatMul

``` SparseMatMul(
const ::tensorflow::Scope & scope,
::tensorflow::Input a,
::tensorflow::Input b,
const SparseMatMul::Attrs & attrs
)```

### node

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

### operator::tensorflow::Input

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

### operator::tensorflow::Output

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

## Public static functions

### AIsSparse

```Attrs AIsSparse(
bool x
)```

### BIsSparse

```Attrs BIsSparse(
bool x
)```

### TransposeA

```Attrs TransposeA(
bool x
)```

### TransposeB

```Attrs TransposeB(
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" }]