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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).

Constants

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

Public Methods

Output < TType >
asOutput ()
Returns the symbolic handle of the tensor.
Output <?>
c ()
A CSRSparseMatrix.
static <T extends TType > 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

Constants

public static final String OP_NAME

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

Constant Value: "SparseMatrixAdd"

Public Methods

public Output < TType > 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 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