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.

dataA Tensor. Must be one of the following types: bfloat16, half, float32, float64.
indicesA Tensor. Must be one of the following types: int32, int64. A 1-D tensor. Has same rank as segment_ids.
segment_idsA Tensor. Must be one of the following types: int32, int64. A 1-D tensor. Values should be sorted and can be repeated.
sparse_gradientAn optional bool. Defaults to False.
nameA name for the operation (optional).

A Tensor. Has the same type as data.