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

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying Operation
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.Operand

abstract Output<T>

asOutput() Returns the symbolic handle of a tensor.

Public Methods

public static SparseMatrixMatMul.Options adjointA (Boolean adjointA)

Parameters

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

public static SparseMatrixMatMul.Options adjointB (Boolean adjointB)

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	A CSRSparseMatrix.
b	A dense tensor.
options	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`.