tf.compat.v1.sparse_segment_sqrt_n

View source on GitHub

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

tf.compat.v1.sparse_segment_sqrt_n(
    data, indices, segment_ids, name=None, num_segments=None
)

N is the size of the segment being reduced.

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.
• name: A name for the operation (optional).
• num_segments: An optional int32 scalar. Indicates the size of the output Tensor.

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.