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

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

N is the size of the segment being reduced.

Like `SparseSegmentSqrtN`

, but allows missing ids in `segment_ids`

. If an id is missing, the `output`

tensor at that position will be zeroed.

Read the section on segmentation for an explanation of segments.

Args | |
---|---|

`data` | A `Tensor` . Must be one of the following types: `bfloat16` , `float32` , `float64` . |

`indices` | A `Tensor` . Must be one of the following types: `int32` , `int64` . A 1-D tensor. Has same rank as `segment_ids` . |

`segment_ids` | A `Tensor` . Must be one of the following types: `int32` , `int64` . A 1-D tensor. Values should be sorted and can be repeated. |

`num_segments` | A `Tensor` . Must be one of the following types: `int32` , `int64` . Should equal the number of distinct segment IDs. |

`name` | A name for the operation (optional). |

Returns | |
---|---|

A `Tensor` . Has the same type as `data` . |

© 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/raw_ops/SparseSegmentSqrtNWithNumSegments