tf.raw_ops.SparseSegmentMean

Computes the mean along sparse segments of a tensor.

Compat aliases for migration

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`, `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.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `data`.

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Last updated 2022-10-27 UTC.

Args