org.bytedeco.javacpp

Class tensorflow.Where

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Where

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Returns locations of nonzero / true values in a tensor. This operation returns the coordinates of true elements in condition. The coordinates are returned in a 2-D tensor where the first dimension (rows) represents the number of true elements, and the second dimension (columns) represents the coordinates of the true elements. Keep in mind, the shape of the output tensor can vary depending on how many true values there are in condition. Indices are output in row-major order. For example:

  # 'input' tensor is [[True, False]
  #                    [True, False]]
  # 'input' has two true values, so output has two coordinates.
  # 'input' has rank of 2, so coordinates have two indices.
  where(input) ==> [[0, 0],
                    [1, 0]]
 
  # `condition` tensor is [[[True, False]
  #                     [True, False]]
  #                    [[False, True]
  #                     [False, True]]
  #                    [[False, False]
  #                     [False, True]]]
  # 'input' has 5 true values, so output has 5 coordinates.
  # 'input' has rank of 3, so coordinates have three indices.
  where(input) ==> [[0, 0, 0],
                    [0, 1, 0],
                    [1, 0, 1],
                    [1, 1, 1],
                    [2, 1, 1]]
 
  # `condition` tensor is [[[1.5,  0.0]
  #                     [-0.5, 0.0]]
  #                    [[0.0,  0.25]
  #                     [0.0,  0.75]]
  #                    [[0.0,  0.0]
  #                     [0.0,  0.01]]]
  # 'input' has 5 nonzero values, so output has 5 coordinates.
  # 'input' has rank of 3, so coordinates have three indices.
  where(input) ==> [[0, 0, 0],
                    [0, 1, 0],
                    [1, 0, 1],
                    [1, 1, 1],
                    [2, 1, 1]]
 
  # `condition` tensor is [[[1.5 + 0.0j, 0.0  + 0.0j]
  #                     [0.0 + 0.5j, 0.0  + 0.0j]]
  #                    [[0.0 + 0.0j, 0.25 + 1.5j]
  #                     [0.0 + 0.0j, 0.75 + 0.0j]]
  #                    [[0.0 + 0.0j, 0.0  + 0.0j]
  #                     [0.0 + 0.0j, 0.01 + 0.0j]]]
  # 'input' has 5 nonzero magnitude values, so output has 5 coordinates.
  # 'input' has rank of 3, so coordinates have three indices.
  where(input) ==> [[0, 0, 0],
                    [0, 1, 0],
                    [1, 0, 1],
                    [1, 1, 1],
                    [2, 1, 1]]
  

Arguments: * scope: A Scope object Returns: * Output: The index tensor.

Nested Class Summary

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
Where(Pointer p) Pointer cast constructor.
Where(tensorflow.Scope scope, tensorflow.Input condition)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Output	index()
tensorflow.Where	index(tensorflow.Output index)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.Where	operation(tensorflow.Operation operation)

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

Where

public Where(Pointer p)

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

Where

public Where(@Const @ByRef
             tensorflow.Scope scope,
             @ByVal
             tensorflow.Input condition)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.Where operation(tensorflow.Operation operation)

index

@ByRef
public tensorflow.Output index()

index

public tensorflow.Where index(tensorflow.Output index)