tf.sparse.segment_sqrt_n

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

Aliases:

• tf.compat.v1.sparse.segment_sqrt_n
• tf.compat.v1.sparse_segment_sqrt_n
• tf.sparse_segment_sqrt_n

tf.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.