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Could you clarify more? Are you fully using CPU because a GPU resource is not available?
The torch.utils.data.distributed.DistributedSampler() or the insightface dataset implementation may provide better peformance with DistributedDataParallel training, but unfortunately I will not be able to test this on my machine anytime soon.
the speed of training is slower, and the cpu usage rate is very high,about 800%, is there anything to solve it?
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