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`.
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.
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static <U extends TNumber> StatelessRandomUniformIntV2<U> | |
Output<U> |
output()
Random values with specified shape.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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 StatelessRandomUniformIntV2<U> create (Scope scope, Operand<? extends TNumber> shape, Operand<?> key, Operand<?> counter, Operand<TInt32> alg, Operand<U> minval, Operand<U> maxval)
Factory method to create a class wrapping a new StatelessRandomUniformIntV2 operation.
Parameters
scope | current scope |
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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