tensorflow::ops::UniqueV2

#include <array_ops.h>

Finds unique elements along an axis of a tensor.

Summary

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] ```

Arguments:

  • scope: A Scope object
  • x: A Tensor.
  • axis: A Tensor of type int32 (default: None). The axis of the Tensor to find the unique elements.

Returns:

Constructors and Destructors

UniqueV2(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis)
UniqueV2(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const UniqueV2::Attrs & attrs)

Public attributes

idx
y

Public static functions

OutIdx(DataType x)

Structs

tensorflow::ops::UniqueV2::Attrs

Optional attribute setters for UniqueV2.

Public attributes

idx

::tensorflow::Output idx

y

::tensorflow::Output y

Public functions

UniqueV2

 UniqueV2(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input axis
)

UniqueV2

 UniqueV2(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input axis,
  const UniqueV2::Attrs & attrs
)

Public static functions

OutIdx

Attrs OutIdx(
  DataType x
)