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tf.math.unsorted_segment_sqrt_n

Computes the sum along segments of a tensor divided by the sqrt(N).

tf.math.unsorted_segment_sqrt_n(
    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. Additionally to computing the sum over segments, it divides the results by sqrt(N).

\(output_i = 1/sqrt(N_i) \sum_{j...} data[j...]\) 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.

Note that this op only supports floating point and complex dtypes, due to tf.sqrt only supporting these types.

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. The values must be in the range [0, num_segments). The values are always validated to be in range on CPU, never validated on GPU. 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.