T
- data type for output()
output@Operator(group="sparse") public final class SparseDenseCwiseAdd<T> extends PrimitiveOp implements Operand<T>
(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.
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> SparseDenseCwiseAdd<T> |
create(Scope scope,
Operand<Long> spIndices,
Operand<T> spValues,
Operand<Long> spShape,
Operand<T> dense)
Factory method to create a class wrapping a new SparseDenseCwiseAdd operation.
|
Output<T> |
output()
1-D.
|
equals, hashCode, op, toString
public static <T> SparseDenseCwiseAdd<T> create(Scope scope, Operand<Long> spIndices, Operand<T> spValues, Operand<Long> spShape, Operand<T> dense)
scope
- current scopespIndices
- 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.public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T>
OperationBuilder.addInput(Output)
Copyright © 2022. All rights reserved.