RandomGamma

public final class RandomGamma

Outputs random values from the Gamma distribution(s) described by alpha.

This op uses the algorithm by Marsaglia et al. to acquire samples via transformation-rejection from pairs of uniform and normal random variables. See http://dl.acm.org/citation.cfm?id=358414

Nested Classes

class RandomGamma.Options Optional attributes for RandomGamma  

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> RandomGamma<U>
create(Scope scope, Operand<? extends TNumber> shape, Operand<U> alpha, Options... options)
Factory method to create a class wrapping a new RandomGamma operation.
Output<U>
output()
A tensor with shape `shape + shape(alpha)`.
static RandomGamma.Options
seed(Long seed)
static RandomGamma.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: "RandomGamma"

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 RandomGamma<U> create (Scope scope, Operand<? extends TNumber> shape, Operand<U> alpha, Options... options)

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

Parameters
scope current scope
shape 1-D integer tensor. Shape of independent samples to draw from each distribution described by the shape parameters given in alpha.
alpha A tensor in which each scalar is a "shape" parameter describing the associated gamma distribution.
options carries optional attributes values
Returns
  • a new instance of RandomGamma

public Output<U> output ()

A tensor with shape `shape + shape(alpha)`. Each slice `[:, ..., :, i0, i1, ...iN]` contains the samples drawn for `alpha[i0, i1, ...iN]`. The dtype of the output matches the dtype of alpha.

public static RandomGamma.Options seed (Long seed)

Parameters
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.

public static RandomGamma.Options seed2 (Long seed2)

Parameters
seed2 A second seed to avoid seed collision.