TensorFlow 2 version | 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 unsorted segment sum operator found here. 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 .
|