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.

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).

A Tensor. Has the same type as data.