T - data type for output() output@Operator public final class UnsortedSegmentSum<T> extends PrimitiveOp implements Operand<T>
Read [the section on segmentation](https://tensorflow.org/api_guides/python/math_ops#Segmentation) for an explanation of segments.
Computes a tensor such that \\(output[i] = \sum_{j...} data[j...]\\) where the sum is over tuples `j...` such that `segment_ids[j...] == i`. Unlike `SegmentSum`, `segment_ids` need not be sorted and need not cover all values in the full range of valid values.
If the sum is empty for a given segment ID `i`, `output[i] = 0`. If the given segment ID `i` is negative, the value is dropped and will not be added to the sum of the segment.
`num_segments` should equal the number of distinct segment IDs.
operation| Modifier and Type | Method and Description |
|---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T,U extends Number,V extends Number> |
create(Scope scope,
Operand<T> data,
Operand<U> segmentIds,
Operand<V> numSegments)
Factory method to create a class to wrap a new UnsortedSegmentSum operation to the graph.
|
Output<T> |
output()
Has same shape as data, except for the first `segment_ids.rank`
dimensions, which are replaced with a single dimension which has size
`num_segments`.
|
equals, hashCode, toStringpublic static <T,U extends Number,V extends Number> UnsortedSegmentSum<T> create(Scope scope, Operand<T> data, Operand<U> segmentIds, Operand<V> numSegments)
scope - current graph scopedata - segmentIds - A tensor whose shape is a prefix of `data.shape`.numSegments - public Output<T> output()
public Output<T> asOutput()
OperandInputs 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 © 2015–2019. All rights reserved.