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# SparseSegmentSum

public final class SparseSegmentSum

Computes the sum along sparse segments of a tensor.

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]))
``````

### Constants

 String OP_NAME The name of this op, as known by TensorFlow core engine

### Public Methods

 Output () Returns the symbolic handle of the tensor. static SparseSegmentSum ( Scope scope, Operand data, Operand indices, Operand segmentIds) Factory method to create a class wrapping a new SparseSegmentSum operation. Output () Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

## Constants

#### public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseSegmentSum"

## Public Methods

#### public Output <T> asOutput ()

Returns the symbolic handle of the 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 SparseSegmentSum <T> create ( Scope scope, Operand <T> data, Operand <? extends TNumber > indices, Operand <? extends TNumber > segmentIds)

Factory method to create a class wrapping a new SparseSegmentSum operation.

##### Parameters
 scope current scope A 1-D tensor. Has same rank as `segment_ids`. A 1-D tensor. Values should be sorted and can be repeated.
##### Returns
• a new instance of SparseSegmentSum

#### public Output <T> output ()

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

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