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# tf.raw_ops.NthElement

Finds values of the `n`-th order statistic for the last dimension.

If the input is a vector (rank-1), finds the entries which is the nth-smallest value in the vector and outputs their values as scalar tensor.

For matrices (resp. higher rank input), computes the entries which is the nth-smallest value in each row (resp. vector along the last dimension). Thus,

``````values.shape = input.shape[:-1]
``````

`input` A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. 1-D or higher with last dimension at least `n+1`.
`n` A `Tensor` of type `int32`. 0-D. Position of sorted vector to select along the last dimension (along each row for matrices). Valid range of n is `[0, input.shape[:-1])`
`reverse` An optional `bool`. Defaults to `False`. When set to True, find the nth-largest value in the vector and vice versa.
`name` A name for the operation (optional).

A `Tensor`. Has the same type as `input`.

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