【工具代碼】pytorch tensorflow設置隨機種子seed

通過設置隨機種子可使訓練結果可復現。

pytorch

import numpy as np
import random
import torch

def setup_seed(seed):
    np.random.seed(seed)
    random.seed(seed)
    torch.manual_seed(seed) #cpu
    torch.cuda.manual_seed_all(seed)  #並行gpu
    torch.backends.cudnn.deterministic = True  #cpu/gpu結果一致
    torch.backends.cudnn.benchmark = True   #訓練集變化不大時使訓練加速
 
 
def main():
    setup_seed(seed)

tensorflow

import numpy as np
import random
import tensorflow as tf

def setup_seed(seed):
    np.random.seed(seed)
    random.seed(seed)
    tf.set_random_seed(seed)
 
def main():
    setup_seed(seed)

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