StatelessRandomNormalV2

public final class StatelessRandomNormalV2

Outputs deterministic pseudorandom values from a normal distribution.

The generated values will have mean 0 and standard deviation 1.

The outputs are a deterministic function of `shape`, `key`, `counter` and `alg`.

Public Methods

Output<U>	asOutput() Returns the symbolic handle of a tensor.
static <U extends Number, T extends Number> StatelessRandomNormalV2<U>	create(Scope scope, Operand<T> shape, Operand<?> key, Operand<?> counter, Operand<Integer> alg, Class<U> dtype) Factory method to create a class wrapping a new StatelessRandomNormalV2 operation.
static <T extends Number> StatelessRandomNormalV2<Float>	create(Scope scope, Operand<T> shape, Operand<?> key, Operand<?> counter, Operand<Integer> alg) Factory method to create a class wrapping a new StatelessRandomNormalV2 operation using default output types.
Output<U>	output() Random values with specified shape.

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying 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.Operand

abstract Output<U extends Number>

asOutput() Returns the symbolic handle of a tensor.

Public Methods

public Output<U> asOutput ()

Returns the symbolic handle of a 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 StatelessRandomNormalV2<U> create (Scope scope, Operand<T> shape, Operand<?> key, Operand<?> counter, Operand<Integer> alg, Class<U> dtype)

Factory method to create a class wrapping a new StatelessRandomNormalV2 operation.

Parameters

scope	current scope
shape	The shape of the output tensor.
key	Key for the counter-based RNG algorithm (shape uint64[1]).
counter	Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used.
alg	The RNG algorithm (shape int32[]).
dtype	The type of the output.

Returns

• a new instance of StatelessRandomNormalV2

public static StatelessRandomNormalV2<Float> create (Scope scope, Operand<T> shape, Operand<?> key, Operand<?> counter, Operand<Integer> alg)

Factory method to create a class wrapping a new StatelessRandomNormalV2 operation using default output types.

Parameters

scope	current scope
shape	The shape of the output tensor.
key	Key for the counter-based RNG algorithm (shape uint64[1]).
counter	Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used.
alg	The RNG algorithm (shape int32[]).

Returns

• a new instance of StatelessRandomNormalV2

public Output<U> output ()

Random values with specified shape.