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# tf.raw_ops.UniqueV2

Finds unique elements along an axis of a tensor.

This operation either returns a tensor `y` containing unique elements along the `axis` of a tensor. The returned unique elements is sorted in the same order as they occur along `axis` in `x`. This operation also returns a tensor `idx` that is the same size as the number of the elements in `x` along the `axis` dimension. It contains the index in the unique output `y`. In other words, for an `1-D` tensor `x` with `axis = None:

`y[idx[i]] = x[i] for i in [0, 1,...,rank(x) - 1]`

#### For example:

``````# tensor 'x' is [1, 1, 2, 4, 4, 4, 7, 8, 8]
y, idx = unique(x)
y ==> [1, 2, 4, 7, 8]
idx ==> [0, 0, 1, 2, 2, 2, 3, 4, 4]
``````

For an `2-D` tensor `x` with `axis = 0`:

``````# tensor 'x' is [[1, 0, 0],
#                [1, 0, 0],
#                [2, 0, 0]]
y, idx = unique(x, axis=0)
y ==> [[1, 0, 0],
[2, 0, 0]]
idx ==> [0, 0, 1]
``````

For an `2-D` tensor `x` with `axis = 1`:

``````# tensor 'x' is [[1, 0, 0],
#                [1, 0, 0],
#                [2, 0, 0]]
y, idx = unique(x, axis=1)
y ==> [[1, 0],
[1, 0],
[2, 0]]
idx ==> [0, 1, 1]
``````

`x` A `Tensor`. A `Tensor`.
`axis` A `Tensor`. Must be one of the following types: `int32`, `int64`. A `Tensor` of type `int32` (default: None). The axis of the Tensor to find the unique elements.
`out_idx` An optional `tf.DType` from: `tf.int32, tf.int64`. Defaults to `tf.int32`.
`name` A name for the operation (optional).

A tuple of `Tensor` objects (y, idx).
`y` A `Tensor`. Has the same type as `x`.
`idx` A `Tensor` of type `out_idx`.

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