SparseTensorDenseMatMul

public final class SparseTensorDenseMatMul

Multiply SparseTensor (of rank 2) "A" by dense matrix "B".

No validity checking is performed on the indices of A. However, the following input format is recommended for optimal behavior:

if adjoint_a == false: A should be sorted in lexicographically increasing order. Use SparseReorder if you're not sure. if adjoint_a == true: A should be sorted in order of increasing dimension 1 (i.e., "column major" order instead of "row major" order).

Nested Classes

class

SparseTensorDenseMatMul.Options

Optional attributes for SparseTensorDenseMatMul

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

static SparseTensorDenseMatMul.Options	adjointA(Boolean adjointA)
static SparseTensorDenseMatMul.Options	adjointB(Boolean adjointB)
Output<U>	asOutput() Returns the symbolic handle of the tensor.
static <U extends TType> SparseTensorDenseMatMul<U>	create(Scope scope, Operand<? extends TNumber> aIndices, Operand<U> aValues, Operand<TInt64> aShape, Operand<U> b, Options... options) Factory method to create a class wrapping a new SparseTensorDenseMatMul operation.
Output<U>	product()

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single 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.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<U extends TType>	asOutput() Returns the symbolic handle of the tensor.
abstract U extends TType	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<U extends TType>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseTensorDenseMatMul"

Public Methods

public static SparseTensorDenseMatMul.Options adjointA (Boolean adjointA)

Parameters

adjointA	Use the adjoint of A in the matrix multiply. If A is complex, this is transpose(conj(A)). Otherwise it's transpose(A).

public static SparseTensorDenseMatMul.Options adjointB (Boolean adjointB)

Parameters

adjointB	Use the adjoint of B in the matrix multiply. If B is complex, this is transpose(conj(B)). Otherwise it's transpose(B).

public Output<U> asOutput ()

Returns the symbolic handle of the 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 SparseTensorDenseMatMul<U> create (Scope scope, Operand<? extends TNumber> aIndices, Operand<U> aValues, Operand<TInt64> aShape, Operand<U> b, Options... options)

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

Parameters

scope	current scope
aIndices	2-D. The `indices` of the `SparseTensor`, size `[nnz, 2]` Matrix.
aValues	1-D. The `values` of the `SparseTensor`, size `[nnz]` Vector.
aShape	1-D. The `shape` of the `SparseTensor`, size `[2]` Vector.
b	2-D. A dense Matrix.
options	carries optional attributes values

Returns

• a new instance of SparseTensorDenseMatMul

public Output<U> product ()