org.bytedeco.javacpp

Class tensorflow.RandomPoissonV2

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.RandomPoissonV2

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.RandomPoissonV2
extends Pointer

Outputs random values from the Poisson distribution(s) described by rate. This op uses two algorithms, depending on rate. If rate >= 10, then the algorithm by Hormann is used to acquire samples via transformation-rejection. See http://www.sciencedirect.com/science/article/pii/0167668793909974. Otherwise, Knuth's algorithm is used to acquire samples via multiplying uniform random variables. See Donald E. Knuth (1969). Seminumerical Algorithms. The Art of Computer Programming, Volume 2. Addison Wesley Arguments: * scope: A Scope object * shape: 1-D integer tensor. Shape of independent samples to draw from each distribution described by the shape parameters given in rate. * rate: A tensor in which each scalar is a "rate" parameter describing the associated poisson distribution. 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: A second seed to avoid seed collision. Returns: * Output: A tensor with shape shape + shape(rate). Each slice [:, ..., :, i0, i1, ...iN] contains the samples drawn for rate[i0, i1, ...iN].

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.RandomPoissonV2.Attrs Optional attribute setters for RandomPoissonV2

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
RandomPoissonV2(Pointer p) Pointer cast constructor.
RandomPoissonV2(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input rate)
RandomPoissonV2(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input rate, tensorflow.RandomPoissonV2.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.RandomPoissonV2.Attrs	Dtype(int x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.RandomPoissonV2	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.RandomPoissonV2	output(tensorflow.Output output)
static tensorflow.RandomPoissonV2.Attrs	Seed(long x)
static tensorflow.RandomPoissonV2.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

RandomPoissonV2

public RandomPoissonV2(Pointer p)

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

RandomPoissonV2

public RandomPoissonV2(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input shape,
                       @ByVal
                       tensorflow.Input rate)

RandomPoissonV2

public RandomPoissonV2(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input shape,
                       @ByVal
                       tensorflow.Input rate,
                       @Const @ByRef
                       tensorflow.RandomPoissonV2.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.RandomPoissonV2.Attrs Seed(@Cast(value="tensorflow::int64")
                                                            long x)

Seed2

@ByVal
public static tensorflow.RandomPoissonV2.Attrs Seed2(@Cast(value="tensorflow::int64")
                                                             long x)

Dtype

@ByVal
public static tensorflow.RandomPoissonV2.Attrs Dtype(@Cast(value="tensorflow::DataType")
                                                             int x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.RandomPoissonV2 operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.RandomPoissonV2 output(tensorflow.Output output)