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:

• Output y: A Tensor. Unique elements along the axis of Tensor x.
• Output idx: A 1-D Tensor. Has the same type as x that contains the index of each value of x in the output y.

Public attributes

::tensorflow::Output idx

::tensorflow::Output y

Public functions

 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 static functions

Attrs OutIdx(
  DataType x
)