I think I found issues based on your comment.
from torch.utils.data import DataLoader
train_data_loader = DataLoader(train_data_meta,
shuffle=False, collate_fn=lambda x: x[0],
num_workers=config.Req[“num_workers”], drop_last=True)
Yes, it’s about multiprocessing and if num_workers > 1 and data is large, the program is killed or error occurs because of that.
I use python 3.5~3.6 and I will probably think to change my python version higher.