org.bytedeco.javacpp

Class tensorflow.UniqueWithCountsV2

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.UniqueWithCountsV2

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.UniqueWithCountsV2
extends Pointer

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 and a tensor count that are the same size as the number of the elements in x along the axis dimension. The idx contains the index in the unique output y and the count contains the count 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, count = unique_with_counts(x) y ==> [1, 2, 4, 7, 8] idx ==> [0, 0, 1, 2, 2, 2, 3, 4, 4] count ==> [2, 1, 3, 1, 2]

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

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

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

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

{@code
 
  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.
  * `Output` count: A 1-D Tensor. The count of each value of x in the output y.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.UniqueWithCountsV2.Attrs Optional attribute setters for UniqueWithCountsV2

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
UniqueWithCountsV2(Pointer p) Pointer cast constructor.
UniqueWithCountsV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis)
UniqueWithCountsV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis, tensorflow.UniqueWithCountsV2.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	count()
tensorflow.UniqueWithCountsV2	count(tensorflow.Output count)
tensorflow.Output	idx()
tensorflow.UniqueWithCountsV2	idx(tensorflow.Output idx)
tensorflow.Operation	operation()
tensorflow.UniqueWithCountsV2	operation(tensorflow.Operation operation)
static tensorflow.UniqueWithCountsV2.Attrs	OutIdx(int x)
tensorflow.Output	y()
tensorflow.UniqueWithCountsV2	y(tensorflow.Output y)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

UniqueWithCountsV2

public UniqueWithCountsV2(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

UniqueWithCountsV2

public UniqueWithCountsV2(@Const @ByRef
                          tensorflow.Scope scope,
                          @ByVal
                          tensorflow.Input x,
                          @ByVal
                          tensorflow.Input axis)

UniqueWithCountsV2

public UniqueWithCountsV2(@Const @ByRef
                          tensorflow.Scope scope,
                          @ByVal
                          tensorflow.Input x,
                          @ByVal
                          tensorflow.Input axis,
                          @Const @ByRef
                          tensorflow.UniqueWithCountsV2.Attrs attrs)

Method Detail

OutIdx

@ByVal
public static tensorflow.UniqueWithCountsV2.Attrs OutIdx(@Cast(value="tensorflow::DataType")
                                                                 int x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.UniqueWithCountsV2 operation(tensorflow.Operation operation)

y

@ByRef
public tensorflow.Output y()

y

public tensorflow.UniqueWithCountsV2 y(tensorflow.Output y)

idx

@ByRef
public tensorflow.Output idx()

idx

public tensorflow.UniqueWithCountsV2 idx(tensorflow.Output idx)

count

@ByRef
public tensorflow.Output count()

count

public tensorflow.UniqueWithCountsV2 count(tensorflow.Output count)