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> | |
| Output<U> |
output()
Random values with specified shape.
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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