Fix random seed bug of DDP in the ImageNet example #825
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the random seed has to be set in the main_worker, not in the `def main()`. I found that although the seed is set in `def main()`, each process in distributed training has individual & different seeds.
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the random seed has to be set in the main_worker, not in the
def main().I found that although the seed is set in
def main(),each process in distributed training has individual & different seeds.