SparseDenseCwiseMul

public final class SparseDenseCwiseMul

Component-wise multiplies a SparseTensor by a dense Tensor.

The output locations corresponding to the implicitly zero elements in the sparse tensor will be zero (i.e., will not take up storage space), regardless of the contents of the dense tensor (even if it's +/-INF and that INF 0 == NaN).

Limitation*: this Op only broadcasts the dense side to the sparse side, but not the other direction.

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TType > SparseDenseCwiseMul <T>
create ( Scope scope, Operand < TInt64 > spIndices, Operand <T> spValues, Operand < TInt64 > spShape, Operand <T> dense)
Factory method to create a class wrapping a new SparseDenseCwiseMul operation.
Output <T>
output ()
1-D.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "SparseDenseCwiseMul"

Public Methods

public Output <T> 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 SparseDenseCwiseMul <T> create ( Scope scope, Operand < TInt64 > spIndices, Operand <T> spValues, Operand < TInt64 > spShape, Operand <T> dense)

Factory method to create a class wrapping a new SparseDenseCwiseMul operation.

Parameters
scope current scope
spIndices 2-D. `N x R` matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.
spValues 1-D. `N` non-empty values corresponding to `sp_indices`.
spShape 1-D. Shape of the input SparseTensor.
dense `R`-D. The dense Tensor operand.
Returns
  • a new instance of SparseDenseCwiseMul

public Output <T> output ()

1-D. The `N` values that are operated on.