tf.compat.v2.sparse.segment_sqrt_n

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

tf.compat.v2.sparse.segment_sqrt_n(
    data, indices, segment_ids, num_segments=None, name=None
)

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.