Multinomial

public final class Multinomial

Draws samples from a multinomial distribution.

Nested Classes

class Multinomial.Options Optional attributes for Multinomial  

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<U>
asOutput()
Returns the symbolic handle of the tensor.
static <U extends TNumber> Multinomial<U>
create(Scope scope, Operand<? extends TNumber> logits, Operand<TInt32> numSamples, Class<U> outputDtype, Options... options)
Factory method to create a class wrapping a new Multinomial operation.
static Multinomial<TInt64>
create(Scope scope, Operand<? extends TNumber> logits, Operand<TInt32> numSamples, Options... options)
Factory method to create a class wrapping a new Multinomial operation using default output types.
Output<U>
output()
2-D Tensor with shape `[batch_size, num_samples]`.
static Multinomial.Options
seed(Long seed)
static Multinomial.Options
seed2(Long seed2)

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<U extends TNumber>
asOutput()
Returns the symbolic handle of the tensor.
abstract U extends TNumber
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<U extends TNumber>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "Multinomial"

Public Methods

public Output<U> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static Multinomial<U> create (Scope scope, Operand<? extends TNumber> logits, Operand<TInt32> numSamples, Class<U> outputDtype, Options... options)

Factory method to create a class wrapping a new Multinomial operation.

Parameters
scope current scope
logits 2-D Tensor with shape `[batch_size, num_classes]`. Each slice `[i, :]` represents the unnormalized log probabilities for all classes.
numSamples 0-D. Number of independent samples to draw for each row slice.
options carries optional attributes values
Returns
  • a new instance of Multinomial

public static Multinomial<TInt64> create (Scope scope, Operand<? extends TNumber> logits, Operand<TInt32> numSamples, Options... options)

Factory method to create a class wrapping a new Multinomial operation using default output types.

Parameters
scope current scope
logits 2-D Tensor with shape `[batch_size, num_classes]`. Each slice `[i, :]` represents the unnormalized log probabilities for all classes.
numSamples 0-D. Number of independent samples to draw for each row slice.
options carries optional attributes values
Returns
  • a new instance of Multinomial

public Output<U> output ()

2-D Tensor with shape `[batch_size, num_samples]`. Each slice `[i, :]` contains the drawn class labels with range `[0, num_classes)`.

public static Multinomial.Options seed (Long seed)

Parameters
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.

public static Multinomial.Options seed2 (Long seed2)

Parameters
seed2 A second seed to avoid seed collision.