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SparseSegmentSumWithNumSegments

public final class SparseSegmentSumWithNumSegments

Computes the sum along sparse segments of a tensor.

Like `SparseSegmentSum`, but allows missing ids in `segment_ids`. If an id is missing, the `output` tensor at that position will be zeroed.

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

For example:

c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])
 
 tf.sparse_segment_sum_with_num_segments(
     c, tf.constant([0, 1]), tf.constant([0, 0]), num_segments=3)
 # => [[0 0 0 0]
 #     [0 0 0 0]
 #     [0 0 0 0]]
 
 tf.sparse_segment_sum_with_num_segments(c,
                                         tf.constant([0, 1]),
                                         tf.constant([0, 2],
                                         num_segments=4))
 # => [[ 1  2  3  4]
 #     [ 0  0  0  0]
 #     [-1 -2 -3 -4]
 #     [ 0  0  0  0]]
 

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TNumber > SparseSegmentSumWithNumSegments <T>
create ( Scope scope, Operand <T> data, Operand <? extends TNumber > indices, Operand <? extends TNumber > segmentIds, Operand <? extends TNumber > numSegments)
Factory method to create a class wrapping a new SparseSegmentSumWithNumSegments operation.
Output <T>
output ()
Has same shape as data, except for dimension 0 which has size `num_segments`.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "SparseSegmentSumWithNumSegments"

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 SparseSegmentSumWithNumSegments <T> create ( Scope scope, Operand <T> data, Operand <? extends TNumber > indices, Operand <? extends TNumber > segmentIds, Operand <? extends TNumber > numSegments)

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

Parameters
scope current scope
indices A 1-D tensor. Has same rank as `segment_ids`.
segmentIds A 1-D tensor. Values should be sorted and can be repeated.
numSegments Should equal the number of distinct segment IDs.
Returns
  • a new instance of SparseSegmentSumWithNumSegments

public Output <T> output ()

Has same shape as data, except for dimension 0 which has size `num_segments`.