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

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