Element-wise multiplication of a sparse matrix with a dense tensor.
Returns a sparse matrix.
The dense tensor `b` may be either a scalar; otherwise `a` must be a rank-3 `SparseMatrix`; in this case `b` must be shaped `[batch_size, 1, 1]` and the multiply operation broadcasts.
NOTE even if `b` is zero, the sparsity structure of the output does not change.
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.
|
static SparseMatrixMul | |
Output<?> |
output()
A dense output tensor.
|
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 SparseMatrixMul create (Scope scope, Operand<?> a, Operand<? extends TType> b)
Factory method to create a class wrapping a new SparseMatrixMul operation.
Parameters
scope | current scope |
---|---|
a | A CSRSparseMatrix. |
b | A dense tensor. |
Returns
- a new instance of SparseMatrixMul