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
)```
[]
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