tf.compat.v1.sparse_segment_sqrt_n
Computes the sum along sparse segments of a tensor divided by the sqrt(N).
tf.compat.v1.sparse_segment_sqrt_n(
data, indices, segment_ids, name=None, num_segments=None
)
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. |
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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/r2.3/api_docs/python/tf/compat/v1/sparse_segment_sqrt_n