Computes the sum along sparse segments of a tensor.

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

Read the section on segmentation for an explanation of segments.

Like `SegmentSum`

, but `segment_ids`

can have rank less than `data`

's first dimension, selecting a subset of dimension 0, specified by `indices`

.

c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]]) # Select two rows, one segment. tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 0])) # => [[0 0 0 0]] # Select two rows, two segment. tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 1])) # => [[ 1 2 3 4] # [-1 -2 -3 -4]] # Select all rows, two segments. tf.sparse_segment_sum(c, tf.constant([0, 1, 2]), tf.constant([0, 0, 1])) # => [[0 0 0 0] # [5 6 7 8]] # Which is equivalent to: tf.segment_sum(c, tf.constant([0, 0, 1]))

Args | |
---|---|

`data` | A `Tensor` . Must be one of the following types: `float32` , `float64` , `int32` , `uint8` , `int16` , `int8` , `int64` , `bfloat16` , `uint16` , `half` , `uint32` , `uint64` . |

`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. |

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

Returns | |
---|---|

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

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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/SparseSegmentSum