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### `tf.segment_sum(data, segment_ids, name=None)` {#segment_sum}
Computes the sum along segments of a tensor.
Read [the section on Segmentation](../../api_docs/python/math_ops.md#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`.
<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/SegmentSum.png" alt>
</div>
##### Args:
* <b>`data`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`, `uint16`, `half`.
* <b>`segment_ids`</b>: A `Tensor`. Must be one of the following types: `int32`, `int64`.
A 1-D tensor whose rank is equal to the rank of `data`'s
first dimension. Values should be sorted and can be repeated.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
A `Tensor`. Has the same type as `data`.
Has same shape as data, except for dimension 0 which
has size `k`, the number of segments.
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