tensorplay.random.fork_rng

tensorplay.random.fork_rng(devices=None, enabled=True, _caller='fork_rng', _devices_kw='devices')[source]

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

Saves the CPU RNG state on entry and restores it on exit, so random operations inside the block do not advance the outer stream. The saved state is restored