T
- data type for output()
output@Operator(group="sparse") public final class SparseSegmentSqrtN<T extends Number> extends PrimitiveOp implements Operand<T>
N is the size of the segment being reduced.
See `tf.sparse.segment_sum` for usage examples.
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number,U extends Number> |
create(Scope scope,
Operand<T> data,
Operand<U> indices,
Operand<Integer> segmentIds)
Factory method to create a class wrapping a new SparseSegmentSqrtN operation.
|
Output<T> |
output()
Has same shape as data, except for dimension 0 which
has size `k`, the number of segments.
|
equals, hashCode, op, toString
public static <T extends Number,U extends Number> SparseSegmentSqrtN<T> create(Scope scope, Operand<T> data, Operand<U> indices, Operand<Integer> segmentIds)
scope
- current scopedata
- indices
- A 1-D tensor. Has same rank as `segment_ids`.segmentIds
- A 1-D tensor. Values should be sorted and can be repeated.public Output<T> output()
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 extends Number>
OperationBuilder.addInput(Output)
Copyright © 2022. All rights reserved.