方案一:使用shared memory multiprocessing模块提供了Value和Array两种方式来创建共享内存,能够减少内存消耗。 frommultiprocessingimportProcess,Valuedeff(shared_value):print("Shared value:",shared_value.value)if__name__=='__main__':shared_value=Value('d',0.0)# 'd'表示double类型p=Process(target=f,args...
(n_samples)) # Replacing pd.Series with pd.DataFrame solves the issue # y_train = pd.DataFrame(rng.random((n_samples, 1)), columns=list('E')) futures = set() manager = MyManager() manager.start() dataset = manager.MemoryDataset() dataset.save((X_train, y_train)) with Process...