tf.raw_ops.SparseSegmentMean

Computes the mean along sparse segments of a tensor.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SparseSegmentMean

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.