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# from pytorch lightning
import random
import numpy as np
import torch
max_seed_value = np.iinfo(np.uint32).max
min_seed_value = np.iinfo(np.uint32).min
def seed_everything(seed=None):
seed = int(seed)
if not (min_seed_value <= seed <= max_seed_value):
raise ValueError(f"{seed} is not in bounds, numpy accepts from {min_seed_value} to {max_seed_value}")
print(f"seed set to {seed}")
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
return seed
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