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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)