File size: 889 Bytes
7393a38 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | import pdb
import torch
import random
import numpy as np
class RandomState(object):
def __init__(self, seed):
torch.set_num_threads(1)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
np.random.seed(seed)
random.seed(seed)
def save_rng_state(self):
rng_dict = {}
rng_dict["torch"] = torch.get_rng_state()
rng_dict["cuda"] = torch.cuda.get_rng_state_all()
rng_dict["numpy"] = np.random.get_state()
rng_dict["random"] = random.getstate()
return rng_dict
def set_rng_state(self, rng_dict):
torch.set_rng_state(rng_dict["torch"])
torch.cuda.set_rng_state_all(rng_dict["cuda"])
np.random.set_state(rng_dict["numpy"])
random.setstate(rng_dict["random"])
|