tf.sets.size

Compute number of unique elements along last dimension of a.

Main aliases

`tf.contrib.metrics.set_size`, `tf.sets.set_size`

Compat aliases for migration

See Migration guide for more details.

tf.sets.size(
    a, validate_indices=True
)

Args
`a`	`SparseTensor`, with indices sorted in row-major order.
`validate_indices`	Whether to validate the order and range of sparse indices in `a`.

Returns
`int32` `Tensor` of set sizes. For `a` ranked `n`, this is a `Tensor` with rank `n-1`, and the same 1st `n-1` dimensions as `a`. Each value is the number of unique elements in the corresponding `[0...n-1]` dimension of `a`.

Raises
`TypeError`	If `a` is an invalid types.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2020-10-01 UTC.

Args