tf.raw_ops.SegmentSumV2

Computes the sum along segments of a tensor.

tf.raw_ops.SegmentSumV2(
    data, segment_ids, num_segments, name=None
)

Read the section on 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.

data A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64.
segment_ids A Tensor. Must be one of the following types: int32, int64. 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.
num_segments A Tensor. Must be one of the following types: int32, int64.
name A name for the operation (optional).

A Tensor. Has the same type as data.