tf.sets.size

Compute number of unique elements along last dimension of a.

Compat aliases for migration

tf.compat.v1.sets.set_size, tf.compat.v1.sets.size

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`. Note that setting this to `false` allows for undefined behavior when calling this function with invalid indices.

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. Some content is licensed under the numpy license.

Last updated 2023-10-06 UTC.

Args