/TensorFlow 2.4


Computes the mean along segments of a tensor.

Read the section on segmentation for an explanation of segments.

This operator is similar to the tf.math.unsorted_segment_sum operator. Instead of computing the sum over segments, it computes the mean of all entries belonging to a segment such that:

\(output_i = 1/N_i \sum_{j...} data[j...]\) where the sum is over tuples j... such that segment_ids[j...] == i with \N_i\ being the number of occurrences of id \i\.

If there is no entry for a given segment ID i, it outputs 0.

If the given segment ID i is negative, the value is dropped and will not be added to the sum of the segment.

data A Tensor with floating point or complex dtype.
segment_ids An integer tensor whose shape is a prefix of data.shape.
num_segments An integer scalar Tensor. The number of distinct segment IDs.
name A name for the operation (optional).
A Tensor. Has same shape as data, except for the first segment_ids.rank dimensions, which are replaced with a single dimension which has size num_segments.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.