Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

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

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