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Computes the sum along sparse segments of a tensor divided by the 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` . |

© 2020 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/versions/r2.4/api_docs/python/tf/sparse/segment_sqrt_n