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tf.sparse_segment_sqrt_n

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

Defined in tensorflow/python/ops/math_ops.py.

See the guide: Math > Segmentation

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

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.

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/sparse_segment_sqrt_n