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tf.raw_ops.SparseSegmentMean

Computes the mean along sparse segments of a tensor.

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