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 |
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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 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