tf.raw_ops.SparseSegmentMean
Computes the mean along sparse segments of a tensor.
tf.raw_ops.SparseSegmentMean(
data, indices, segment_ids, name=None
)
See tf.sparse.segment_sum for usage examples.
Like SegmentMean, but segment_ids can have rank less than data's first dimension, selecting a subset of dimension 0, specified by indices.
| 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. |
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/SparseSegmentMean