Computes the sum along segments of a tensor.
Read [the section on segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation) for an explanation of segments.
Computes a tensor such that \\(output_i = \sum_j data_j\\) where sum is over `j` such that `segment_ids[j] == i`.
If the sum is empty for a given segment ID `i`, `output[i] = 0`.
Note that this op is currently only supported with jit_compile=True.
Public Methods
| Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
| static <T, U extends Number, V extends Number> SegmentSumV2<T> | |
| 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`.
|
Inherited Methods
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of a 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 SegmentSumV2<T> create (Scope scope, Operand<T> data, Operand<U> segmentIds, Operand<V> numSegments)
Factory method to create a class wrapping a new SegmentSumV2 operation.
Parameters
| scope | current scope |
|---|---|
| segmentIds | A 1-D tensor whose size is equal to the size of `data`'s
first dimension. Values should be sorted and can be repeated.
The values must be less than `num_segments`.
Caution: The values are always validated to be sorted on CPU, never validated on GPU. |
Returns
- a new instance of SegmentSumV2
public 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`.