tensorflow:: ops:: SparseSegmentSumWithNumSegments

Computes the sum along sparse segments of a tensor.

Summary

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 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]]

Args:

• scope: A Scope object
• indices: A 1-D tensor. Has same rank as segment_ids .
• segment_ids: A 1-D tensor. Values should be sorted and can be repeated.
• num_segments: Should equal the number of distinct segment IDs.

Returns:

• Output : Has same shape as data, except for dimension 0 which has size num_segments .

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 SparseSegmentSumWithNumSegments(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input indices,
  ::tensorflow::Input segment_ids,
  ::tensorflow::Input num_segments
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const