SegmentSumV2

public final class SegmentSumV2

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>
create(Scope scope, Operand<T> data, Operand<U> segmentIds, Operand<V> numSegments)
Factory method to create a class wrapping a new SegmentSumV2 operation.
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`.