# tensorplay.accelerator.random

Source: https://www.tensorplay.cn/docs/generated/tensorplay.accelerator.random.html

Device-agnostic random-number helpers for the current accelerator.

Seeds and generator states are read and written through the active
accelerator backend (the GPU backend in this build). device
accepts a device object, a spelling such as "cuda:1", an integer
index, or None for the current device.

Functions

| get_rng_state([device]) |Generator state of the given accelerator device. |
| --- | --- |
| get_rng_state_all() | Generator states of every accelerator device. |
| initial_seed([device]) | Initial seed of the generator for the given accelerator device. |
| manual_seed(seed) | Seed the generator of the current accelerator device. |
| manual_seed_all(seed) | Seed the generators of every accelerator device. |
| seed() | Reseed the generator of the current accelerator device. |
| seed_all() | Reseed the generators of every accelerator device. |
| set_rng_state(new_state[, device]) | Set the generator state of the given accelerator device. |
| set_rng_state_all(new_states) | Set the generator states of every accelerator device. |