T
- data type for y()
outputV
- data type for idx()
output@Operator public final class Unique<T,V extends Number> extends PrimitiveOp
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]
operation
Modifier and Type | Method and Description |
---|---|
static <T,U extends Number> |
create(Scope scope,
Operand<T> x,
Operand<U> axis)
Factory method to create a class wrapping a new Unique operation using default output types.
|
static <T,V extends Number,U extends Number> |
create(Scope scope,
Operand<T> x,
Operand<U> axis,
Class<V> outIdx)
Factory method to create a class wrapping a new Unique operation.
|
Output<V> |
idx()
A 1-D Tensor.
|
Output<T> |
y()
A `Tensor`.
|
equals, hashCode, op, toString
public static <T,V extends Number,U extends Number> Unique<T,V> create(Scope scope, Operand<T> x, Operand<U> axis, Class<V> outIdx)
scope
- current scopex
- A `Tensor`.axis
- A `Tensor` of type `int32` (default: None). The axis of the Tensor to
find the unique elements.outIdx
- public static <T,U extends Number> Unique<T,Integer> create(Scope scope, Operand<T> x, Operand<U> axis)
scope
- current scopex
- A `Tensor`.axis
- A `Tensor` of type `int32` (default: None). The axis of the Tensor to
find the unique elements.Copyright © 2022. All rights reserved.