org.bytedeco.javacpp

Class tensorflow.AllCandidateSampler

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.AllCandidateSampler

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

\defgroup candidate_sampling_ops Candidate Sampling Ops \{

Generates labels for candidate sampling with a learned unigram distribution. See explanations of candidate sampling and the data formats at go/candidate-sampling. For each batch, this op picks a single set of sampled candidate labels. The advantages of sampling candidates per-batch are simplicity and the possibility of efficient dense matrix multiplication. The disadvantage is that the sampled candidates must be chosen independently of the context and of the true labels. Arguments: * scope: A Scope object * true_classes: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label. * num_true: Number of true labels per context. * num_sampled: Number of candidates to produce. * unique: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique. This requires some approximation to estimate the post-rejection sampling probabilities. 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 sampled_candidates: A vector of length num_sampled, in which each element is the ID of a sampled candidate. * Output true_expected_count: A batch_size * num_true matrix, representing the number of times each candidate is expected to occur in a batch of sampled candidates. If unique=true, then this is a probability. * Output sampled_expected_count: A vector of length num_sampled, for each sampled candidate representing the number of times the candidate is expected to occur in a batch of sampled candidates. If unique=true, then this is a probability.

Nested Class Summary

Nested Classes

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

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
AllCandidateSampler(Pointer p) Pointer cast constructor.
AllCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique)
AllCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, tensorflow.AllCandidateSampler.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Operation	operation()
tensorflow.AllCandidateSampler	operation(tensorflow.Operation operation)
tensorflow.Output	sampled_candidates()
tensorflow.AllCandidateSampler	sampled_candidates(tensorflow.Output sampled_candidates)
tensorflow.Output	sampled_expected_count()
tensorflow.AllCandidateSampler	sampled_expected_count(tensorflow.Output sampled_expected_count)
static tensorflow.AllCandidateSampler.Attrs	Seed(long x)
static tensorflow.AllCandidateSampler.Attrs	Seed2(long x)
tensorflow.Output	true_expected_count()
tensorflow.AllCandidateSampler	true_expected_count(tensorflow.Output true_expected_count)

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

AllCandidateSampler

public AllCandidateSampler(Pointer p)

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

AllCandidateSampler

public AllCandidateSampler(@Const @ByRef
                           tensorflow.Scope scope,
                           @ByVal
                           tensorflow.Input true_classes,
                           @Cast(value="tensorflow::int64")
                           long num_true,
                           @Cast(value="tensorflow::int64")
                           long num_sampled,
                           @Cast(value="bool")
                           boolean unique)

AllCandidateSampler

public AllCandidateSampler(@Const @ByRef
                           tensorflow.Scope scope,
                           @ByVal
                           tensorflow.Input true_classes,
                           @Cast(value="tensorflow::int64")
                           long num_true,
                           @Cast(value="tensorflow::int64")
                           long num_sampled,
                           @Cast(value="bool")
                           boolean unique,
                           @Const @ByRef
                           tensorflow.AllCandidateSampler.Attrs attrs)

Method Detail

Seed

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

Seed2

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.AllCandidateSampler operation(tensorflow.Operation operation)

sampled_candidates

@ByRef
public tensorflow.Output sampled_candidates()

sampled_candidates

public tensorflow.AllCandidateSampler sampled_candidates(tensorflow.Output sampled_candidates)

true_expected_count

@ByRef
public tensorflow.Output true_expected_count()

true_expected_count

public tensorflow.AllCandidateSampler true_expected_count(tensorflow.Output true_expected_count)

sampled_expected_count

@ByRef
public tensorflow.Output sampled_expected_count()

sampled_expected_count

public tensorflow.AllCandidateSampler sampled_expected_count(tensorflow.Output sampled_expected_count)