ParameterizedTruncatedNormal

public final class ParameterizedTruncatedNormal

Outputs random values from a normal distribution. The parameters may each be a

scalar which applies to the entire output, or a vector of length shape[0] which stores the parameters for each batch.

Nested Classes

class

ParameterizedTruncatedNormal.Options

Optional attributes for ParameterizedTruncatedNormal

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> ParameterizedTruncatedNormal<U>	create(Scope scope, Operand<? extends TNumber> shape, Operand<U> means, Operand<U> stdevs, Operand<U> minvals, Operand<U> maxvals, Options... options) Factory method to create a class wrapping a new ParameterizedTruncatedNormal operation.
Output<U>	output() A matrix of shape num_batches x samples_per_batch, filled with random truncated normal values using the parameters for each row.
static ParameterizedTruncatedNormal.Options	seed(Long seed)
static ParameterizedTruncatedNormal.Options	seed2(Long seed2)

Inherited Methods

From class 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()

From class java.lang.Object

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()

From interface 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.

From interface 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

From interface 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: "ParameterizedTruncatedNormal"

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 ParameterizedTruncatedNormal<U> create (Scope scope, Operand<? extends TNumber> shape, Operand<U> means, Operand<U> stdevs, Operand<U> minvals, Operand<U> maxvals, Options... options)

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

Parameters

scope	current scope
shape	The shape of the output tensor. Batches are indexed by the 0th dimension.
means	The mean parameter of each batch.
stdevs	The standard deviation parameter of each batch. Must be greater than 0.
minvals	The minimum cutoff. May be -infinity.
maxvals	The maximum cutoff. May be +infinity, and must be more than the minval for each batch.
options	carries optional attributes values

Returns

• a new instance of ParameterizedTruncatedNormal

public Output<U> output ()

A matrix of shape num_batches x samples_per_batch, filled with random truncated normal values using the parameters for each row.

public static ParameterizedTruncatedNormal.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 ParameterizedTruncatedNormal.Options seed2 (Long seed2)

Parameters

seed2	A second seed to avoid seed collision.