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`.

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> StatelessRandomNormalV2<U>
create(Scope scope, Operand<? extends TNumber> shape, Operand<?> key, Operand<?> counter, Operand<TInt32> alg, Class<U> dtype)
Factory method to create a class wrapping a new StatelessRandomNormalV2 operation.
static StatelessRandomNormalV2<TFloat32>
create(Scope scope, Operand<? extends TNumber> shape, Operand<?> key, Operand<?> counter, Operand<TInt32> 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

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: "StatelessRandomNormalV2"

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 StatelessRandomNormalV2<U> create (Scope scope, Operand<? extends TNumber> shape, Operand<?> key, Operand<?> counter, Operand<TInt32> 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<TFloat32> create (Scope scope, Operand<? extends TNumber> shape, Operand<?> key, Operand<?> counter, Operand<TInt32> 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.