import numpy as np
import torch
import random


def fixseed(seed):
    torch.backends.cudnn.benchmark = False
    random.seed(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)


# SEED = 10
# EVALSEED = 0
# # Provoc warning: not fully functionnal yet
# # torch.set_deterministic(True)
# torch.backends.cudnn.benchmark = False
# fixseed(SEED)