tf.raw_ops.SparseSegmentSqrtN

Computes the sum along sparse segments of a tensor divided by the sqrt of N.

Compat aliases for migration

tf.compat.v1.raw_ops.SparseSegmentSqrtN

tf.raw_ops.SparseSegmentSqrtN(
    data, indices, segment_ids, sparse_gradient=False, name=None
)

N is the size of the segment being reduced.

See tf.sparse.segment_sum for usage examples.

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.
`sparse_gradient`	An optional `bool`. Defaults to `False`.
`name`	A name for the operation (optional).

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

Args