Advance the counter of a counter-based RNG.
The state of the RNG after `rng_read_and_skip(n)` will be the same as that after `uniform([n])` (or any other distribution). The actual increment added to the counter is an unspecified implementation choice.
Public Methods
| Output <Long> |
asOutput
()
Returns the symbolic handle of a tensor.
|
| static RngReadAndSkip | |
| Output <Long> |
value
()
The old value of the resource variable, before incrementing.
|
Inherited Methods
Public Methods
public Output <Long> 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 RngReadAndSkip create ( Scope scope, Operand <?> resource, Operand <Integer> alg, Operand <?> delta)
Factory method to create a class wrapping a new RngReadAndSkip operation.
Parameters
| scope | current scope |
|---|---|
| resource | The handle of the resource variable that stores the state of the RNG. |
| alg | The RNG algorithm. |
| delta | The amount of advancement. |
Returns
- a new instance of RngReadAndSkip
public Output <Long> value ()
The old value of the resource variable, before incrementing. Since state size is algorithm-dependent, this output will be right-padded with zeros to reach shape int64[3] (the current maximal state size among algorithms).