SparseMatrixAdd

public final class SparseMatrixAdd

Sparse addition of two CSR matrices, C = alpha * A + beta * B.

The gradients of SparseMatrixAdd outputs with respect to alpha and beta are not currently defined (TensorFlow will return zeros for these entries).

Public Methods

Output<Object>	asOutput() Returns the symbolic handle of a tensor.
Output<?>	c() A CSRSparseMatrix.
static <T> SparseMatrixAdd	create(Scope scope, Operand<?> a, Operand<?> b, Operand<T> alpha, Operand<T> beta) Factory method to create a class wrapping a new SparseMatrixAdd operation.

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<Object>

asOutput()

Returns the symbolic handle of a tensor.

Public Methods

public Output<Object> 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 Output<?> c ()

A CSRSparseMatrix.

public static SparseMatrixAdd create (Scope scope, Operand<?> a, Operand<?> b, Operand<T> alpha, Operand<T> beta)

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

Parameters

scope	current scope
a	A CSRSparseMatrix.
b	A CSRSparseMatrix.
alpha	A constant scalar.
beta	A constant scalar.

Returns

a new instance of SparseMatrixAdd