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# SparseMatrixMatMul

public final class SparseMatrixMatMul

Matrix-multiplies a sparse matrix with a dense matrix.

Returns a dense matrix. For inputs A and B, where A is CSR and B is dense; this op returns a dense C;

If transpose_output is false, returns:

``````C = A . B
``````
If transpose_output is `true`, returns:
``````C = transpose(A . B) = transpose(B) . transpose(A)
``````
where the transposition is performed along the two innermost (matrix) dimensions.

If conjugate_output is `true`, returns:

``````C = conjugate(A . B) = conjugate(A) . conjugate(B)
``````
If both conjugate_output and transpose_output are `true`, returns:
``````C = conjugate(transpose(A . B)) = conjugate(transpose(B)) .
conjugate(transpose(A))
``````

### Nested Classes

 class SparseMatrixMatMul.Options Optional attributes for `SparseMatrixMatMul`

### Public Methods

 static SparseMatrixMatMul.Options adjointA(Boolean adjointA) static SparseMatrixMatMul.Options adjointB(Boolean adjointB) Output asOutput() Returns the symbolic handle of a tensor. static SparseMatrixMatMul.Options conjugateOutput(Boolean conjugateOutput) static SparseMatrixMatMul create(Scope scope, Operand a, Operand b, Options... options) Factory method to create a class wrapping a new SparseMatrixMatMul operation. Output output() A dense output tensor. static SparseMatrixMatMul.Options transposeA(Boolean transposeA) static SparseMatrixMatMul.Options transposeB(Boolean transposeB) static SparseMatrixMatMul.Options transposeOutput(Boolean transposeOutput)

## Public Methods

##### Parameters
adjointA Indicates whether `a` should be conjugate-transposed.

##### Parameters
adjointB Indicates whether `b` should be conjugate-transposed.

#### public Output<T> asOutput()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

#### public static SparseMatrixMatMul.Options conjugateOutput(Boolean conjugateOutput)

##### Parameters
conjugateOutput Conjugates the product of `a` and `b`.

#### public static SparseMatrixMatMul<T> create(Scope scope, Operand<?> a, Operand<T> b, Options... options)

Factory method to create a class wrapping a new SparseMatrixMatMul operation.

##### Parameters
scope current scope A CSRSparseMatrix. A dense tensor. carries optional attributes values
##### Returns
• a new instance of SparseMatrixMatMul

#### public Output<T> output()

A dense output tensor.

#### public static SparseMatrixMatMul.Options transposeA(Boolean transposeA)

##### Parameters
transposeA Indicates whether `a` should be transposed.

#### public static SparseMatrixMatMul.Options transposeB(Boolean transposeB)

##### Parameters
transposeB Indicates whether `b` should be transposed.

#### public static SparseMatrixMatMul.Options transposeOutput(Boolean transposeOutput)

##### Parameters
transposeOutput Transposes the product of `a` and `b`.
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