StatelessRandomUniformIntV2

public final class StatelessRandomUniformIntV2

Outputs deterministic pseudorandom random integers from a uniform distribution.

The generated values follow a uniform distribution in the range `[minval, maxval)`.

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

Public Methods

Output<U>
asOutput()
Returns the symbolic handle of a tensor.
static <U extends Number, T extends Number> StatelessRandomUniformIntV2<U>
create(Scope scope, Operand<T> shape, Operand<?> key, Operand<?> counter, Operand<Integer> alg, Operand<U> minval, Operand<U> maxval)
Factory method to create a class wrapping a new StatelessRandomUniformIntV2 operation.
Output<U>
output()
Random values with specified shape.

Inherited Methods

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 StatelessRandomUniformIntV2<U> create (Scope scope, Operand<T> shape, Operand<?> key, Operand<?> counter, Operand<Integer> alg, Operand<U> minval, Operand<U> maxval)

Factory method to create a class wrapping a new StatelessRandomUniformIntV2 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[]).
minval Minimum value (inclusive, scalar).
maxval Maximum value (exclusive, scalar).
Returns
  • a new instance of StatelessRandomUniformIntV2

public Output<U> output ()

Random values with specified shape.