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tf.sparse.segment_sqrt_n

TensorFlow 1 version View source on GitHub

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

Aliases:

  • tf.compat.v2.sparse.segment_sqrt_n
tf.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.