# tensorplay.fork_rng

Source: https://www.tensorplay.cn/docs/generated/tensorplay.fork_rng.html

```python
tensorplay.fork_rng(devices=None, enabled=True, _caller='fork_rng', _devices_kw='devices')
```

Forks the RNG state: code inside the context gets a pristine RNG.

Saves the CPU RNG state and the RNG state of every CUDA device listed in
devices on entry and restores them on exit, so random operations
inside the block do not advance the outer streams.  devices=[] forks
only the CPU generator.