org.bytedeco.javacpp

Class tensorflow.ComputeAccidentalHits

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ComputeAccidentalHits

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Computes the ids of the positions in sampled_candidates that match true_labels. When doing log-odds NCE, the result of this op should be passed through a SparseToDense op, then added to the logits of the sampled candidates. This has the effect of 'removing' the sampled labels that match the true labels by making the classifier sure that they are sampled labels. Arguments: * scope: A Scope object * true_classes: The true_classes output of UnpackSparseLabels. * sampled_candidates: The sampled_candidates output of CandidateSampler. * num_true: Number of true labels per context. Optional attributes (see Attrs): * seed: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. * seed2: An second seed to avoid seed collision. Returns: * Output indices: A vector of indices corresponding to rows of true_candidates. * Output ids: A vector of IDs of positions in sampled_candidates that match a true_label for the row with the corresponding index in indices. * Output weights: A vector of the same length as indices and ids, in which each element is -FLOAT_MAX.

Nested Class Summary

Nested Classes

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

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
ComputeAccidentalHits(Pointer p) Pointer cast constructor.
ComputeAccidentalHits(tensorflow.Scope scope, tensorflow.Input true_classes, tensorflow.Input sampled_candidates, long num_true)
ComputeAccidentalHits(tensorflow.Scope scope, tensorflow.Input true_classes, tensorflow.Input sampled_candidates, long num_true, tensorflow.ComputeAccidentalHits.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	ids()
tensorflow.ComputeAccidentalHits	ids(tensorflow.Output ids)
tensorflow.Output	indices()
tensorflow.ComputeAccidentalHits	indices(tensorflow.Output indices)
tensorflow.Operation	operation()
tensorflow.ComputeAccidentalHits	operation(tensorflow.Operation operation)
static tensorflow.ComputeAccidentalHits.Attrs	Seed(long x)
static tensorflow.ComputeAccidentalHits.Attrs	Seed2(long x)
tensorflow.Output	weights()
tensorflow.ComputeAccidentalHits	weights(tensorflow.Output weights)

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

ComputeAccidentalHits

public ComputeAccidentalHits(Pointer p)

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

ComputeAccidentalHits

public ComputeAccidentalHits(@Const @ByRef
                             tensorflow.Scope scope,
                             @ByVal
                             tensorflow.Input true_classes,
                             @ByVal
                             tensorflow.Input sampled_candidates,
                             @Cast(value="tensorflow::int64")
                             long num_true)

ComputeAccidentalHits

public ComputeAccidentalHits(@Const @ByRef
                             tensorflow.Scope scope,
                             @ByVal
                             tensorflow.Input true_classes,
                             @ByVal
                             tensorflow.Input sampled_candidates,
                             @Cast(value="tensorflow::int64")
                             long num_true,
                             @Const @ByRef
                             tensorflow.ComputeAccidentalHits.Attrs attrs)

Method Detail

Seed

@ByVal
public static tensorflow.ComputeAccidentalHits.Attrs Seed(@Cast(value="tensorflow::int64")
                                                                  long x)

Seed2

@ByVal
public static tensorflow.ComputeAccidentalHits.Attrs Seed2(@Cast(value="tensorflow::int64")
                                                                   long x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ComputeAccidentalHits operation(tensorflow.Operation operation)

indices

@ByRef
public tensorflow.Output indices()

indices

public tensorflow.ComputeAccidentalHits indices(tensorflow.Output indices)

ids

@ByRef
public tensorflow.Output ids()

ids

public tensorflow.ComputeAccidentalHits ids(tensorflow.Output ids)

weights

@ByRef
public tensorflow.Output weights()

weights

public tensorflow.ComputeAccidentalHits weights(tensorflow.Output weights)