tf.raw_ops.SparseSegmentMean
Computes the mean along sparse segments of a tensor.
tf.raw_ops.SparseSegmentMean(
data, indices, segment_ids, sparse_gradient=False, 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, half, 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. |
sparse_gradient | An optional bool. Defaults to False. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as data. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseSegmentMean
