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

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.