# tf.raw_ops.SparseSegmentSum

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Computes the sum along sparse segments of a tensor.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.SparseSegmentSum`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseSegmentSum)

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    tf.raw_ops.SparseSegmentSum(
        data, indices, segment_ids, name=None
    )

Read
[the section on segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation)
for an explanation of segments.

Like `SegmentSum`, but `segment_ids` can have rank less than `data`'s first
dimension, selecting a subset of dimension 0, specified by `indices`.

#### For example:

    c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])

    # Select two rows, one segment.
    tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 0]))
    # => [[0 0 0 0]]

    # Select two rows, two segment.
    tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 1]))
    # => [[ 1  2  3  4]
    #     [-1 -2 -3 -4]]

    # Select all rows, two segments.
    tf.sparse_segment_sum(c, tf.constant([0, 1, 2]), tf.constant([0, 0, 1]))
    # => [[0 0 0 0]
    #     [5 6 7 8]]

    # Which is equivalent to:
    tf.segment_sum(c, tf.constant([0, 0, 1]))

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| ## Args ||
|---|---|
| `data` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. |
| `indices` | A `Tensor`. Must be one of the following types: `int32`, `int64`. A 1-D tensor. Has same rank as `segment_ids`. |
| `segment_ids` | A `Tensor`. Must be one of the following types: `int32`, `int64`. A 1-D tensor. Values should be sorted and can be repeated. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `data`. ||

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