tf.compat.v2.sparse.segment_sqrt_n

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

Read the section on segmentation for an explanation of segments.

Like tf.sparse.segment_mean, but instead of dividing by the size of the segment, N, divide by sqrt(N) instead.

Args
data A Tensor with data that will be assembled in the output.
indices A 1-D Tensor with indices into data. Has same rank as segment_ids.
segment_ids A 1-D Tensor with indices into the output Tensor. Values should be sorted and can be repeated.
num_segments An optional int32 scalar. Indicates the size of the output Tensor.
name A name for the operation (optional).
Returns
A tensor of the shape as data, except for dimension 0 which has size k, the number of segments specified via num_segments or inferred for the last element in segments_ids.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v2/sparse/segment_sqrt_n