SparseDenseCwiseAdd

public final class SparseDenseCwiseAdd

Adds up a SparseTensor and a dense Tensor, using these special rules:

(1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.

By these rules, the result is a logical SparseTensor with exactly the same indices and shape, but possibly with different non-zero values. The output of this Op is the resultant non-zero values.

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 > SparseDenseCwiseAdd <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 SparseDenseCwiseAdd 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: "SparseDenseCwiseAdd"

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 SparseDenseCwiseAdd <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 SparseDenseCwiseAdd 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 SparseDenseCwiseAdd

public Output <T> output ()

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