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 |
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 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