paddle.incubate. segment_sum ( data, segment_ids, name=None ) [source]

Segment Sum Operator.

This operator sums the elements of input data which with the same index in segment_ids. It computes a tensor such that $out_i = \sum_{j} data_{j}$ where sum is over j such that segment_ids[j] == i.

  • data (Tensor) – A tensor, available data type float32, float64, int32, int64.

  • segment_ids (Tensor) – A 1-D tensor, which have the same size with the first dimension of input data. Available data type is int32, int64.

  • name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.


the reduced result.

Return type

output (Tensor)


import paddle
data = paddle.to_tensor([[1, 2, 3], [3, 2, 1], [4, 5, 6]], dtype='float32')
segment_ids = paddle.to_tensor([0, 0, 1], dtype='int32')
out = paddle.incubate.segment_sum(data, segment_ids)
#Outputs: [[4., 4., 4.], [4., 5., 6.]]