Merge branch 'master' of https://gitea.star-rising.cn/xkrs_manan/RODY
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commit
31402010fc
@ -610,16 +610,16 @@ def main(opt,data_list,id,callbacks=Callbacks()):
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# DDP mode
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device = select_device(opt.device, batch_size=opt.batch_size)
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print(device.type)
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if LOCAL_RANK != -1:
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msg = 'is not compatible with YOLOv5 Multi-GPU DDP training'
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assert not opt.image_weights, f'--image-weights {msg}'
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assert not opt.evolve, f'--evolve {msg}'
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assert opt.batch_size != -1, f'AutoBatch with --batch-size -1 {msg}, please pass a valid --batch-size'
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assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'
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assert torch.cuda.device_count() > LOCAL_RANK, 'insufficient CUDA devices for DDP command'
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torch.cuda.set_device(LOCAL_RANK)
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device = torch.device('cuda', LOCAL_RANK)
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dist.init_process_group(backend="nccl" if dist.is_nccl_available() else "gloo")
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# if LOCAL_RANK != -1:
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# msg = 'is not compatible with YOLOv5 Multi-GPU DDP training'
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# assert not opt.image_weights, f'--image-weights {msg}'
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# assert not opt.evolve, f'--evolve {msg}'
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# assert opt.batch_size != -1, f'AutoBatch with --batch-size -1 {msg}, please pass a valid --batch-size'
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# assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'
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# assert torch.cuda.device_count() > LOCAL_RANK, 'insufficient CUDA devices for DDP command'
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# torch.cuda.set_device(LOCAL_RANK)
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# device = torch.device('cuda', LOCAL_RANK)
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# dist.init_process_group(backend="nccl" if dist.is_nccl_available() else "gloo")
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# Train
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if not opt.evolve:
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