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