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/r2.4/api_docs/python/tf/raw_ops/SparseSegmentMean