tf.math.unsorted_segment_mean
| View source on GitHub |
Computes the mean along segments of a tensor.
tf.math.unsorted_segment_mean(
data, segment_ids, num_segments, name=None
)
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.
| Args | |
|---|---|
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). |
| Returns | |
|---|---|
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.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/math/unsorted_segment_mean
