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.

Args