org.bytedeco.javacpp

Class tensorflow.Multinomial

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Multinomial

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

\defgroup random_ops Random Ops \{

Draws samples from a multinomial distribution. Arguments: * scope: A Scope object * logits: 2-D Tensor with shape [batch_size, num_classes]. Each slice [i, :] represents the unnormalized log probabilities for all classes. * num_samples: 0-D. Number of independent samples to draw for each row slice. Optional attributes (see Attrs): * seed: If either seed or seed2 is set to be non-zero, the internal random number generator is seeded by the given seed. Otherwise, a random seed is used. * seed2: A second seed to avoid seed collision. Returns: * Output: 2-D Tensor with shape [batch_size, num_samples]. Each slice [i, :] contains the drawn class labels with range [0, num_classes).

Nested Class Summary

Nested Classes

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

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
Multinomial(Pointer p) Pointer cast constructor.
Multinomial(tensorflow.Scope scope, tensorflow.Input logits, tensorflow.Input num_samples)
Multinomial(tensorflow.Scope scope, tensorflow.Input logits, tensorflow.Input num_samples, tensorflow.Multinomial.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.Multinomial	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.Multinomial	output(tensorflow.Output output)
static tensorflow.Multinomial.Attrs	OutputDtype(int x)
static tensorflow.Multinomial.Attrs	Seed(long x)
static tensorflow.Multinomial.Attrs	Seed2(long x)

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

Multinomial

public Multinomial(Pointer p)

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

Multinomial

public Multinomial(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input logits,
                   @ByVal
                   tensorflow.Input num_samples)

Multinomial

public Multinomial(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input logits,
                   @ByVal
                   tensorflow.Input num_samples,
                   @Const @ByRef
                   tensorflow.Multinomial.Attrs attrs)

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()

Seed

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

Seed2

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

OutputDtype

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.Multinomial operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.Multinomial output(tensorflow.Output output)