tf.raw_ops.SparseSegmentSumWithNumSegments
Computes the sum along sparse segments of a tensor.
tf.raw_ops.SparseSegmentSumWithNumSegments(
data, indices, segment_ids, num_segments, name=None
)
Like SparseSegmentSum, 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.
For example:
c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])
tf.sparse_segment_sum_with_num_segments(
c, tf.constant([0, 1]), tf.constant([0, 0]), num_segments=3)
# => [[0 0 0 0]
# [0 0 0 0]
# [0 0 0 0]]
tf.sparse_segment_sum_with_num_segments(c,
tf.constant([0, 1]),
tf.constant([0, 2],
num_segments=4))
# => [[ 1 2 3 4]
# [ 0 0 0 0]
# [-1 -2 -3 -4]
# [ 0 0 0 0]]
| 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. |
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/r2.3/api_docs/python/tf/raw_ops/SparseSegmentSumWithNumSegments