tf.unsorted_segment_mean( data, segment_ids, num_segments, name=None )
Computes the mean along segments of a tensor.
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:
\(output_i = 1/N_i \sum data_j\) where the sum is over
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.
segment_ids: A 1-D tensor whose rank is equal to the rank of
output: Has same shape as data, except for dimension 0 which