StatelessParameterizedTruncatedNormal

public final class StatelessParameterizedTruncatedNormal

Constants

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

Public Methods

Output<V>	asOutput() Returns the symbolic handle of the tensor.
static <V extends TNumber> StatelessParameterizedTruncatedNormal<V>	create(Scope scope, Operand<? extends TNumber> shape, Operand<? extends TNumber> seed, Operand<V> means, Operand<V> stddevs, Operand<V> minvals, Operand<V> maxvals) Factory method to create a class wrapping a new StatelessParameterizedTruncatedNormal operation.
Output<V>	output() The outputs are truncated normal samples and are a deterministic function of `shape`, `seed`, `minvals`, `maxvals`, `means` and `stddevs`.

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<V extends TNumber>	asOutput() Returns the symbolic handle of the tensor.
abstract V 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<V 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: "StatelessParameterizedTruncatedNormal"

Public Methods

public Output<V> 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 StatelessParameterizedTruncatedNormal<V> create (Scope scope, Operand<? extends TNumber> shape, Operand<? extends TNumber> seed, Operand<V> means, Operand<V> stddevs, Operand<V> minvals, Operand<V> maxvals)

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

Parameters

scope	current scope
shape	The shape of the output tensor.
seed	2 seeds (shape [2]).
means	The mean parameter of each batch.
stddevs	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.

Returns

a new instance of StatelessParameterizedTruncatedNormal

public Output<V> output ()

The outputs are truncated normal samples and are a deterministic function of `shape`, `seed`, `minvals`, `maxvals`, `means` and `stddevs`.