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re-added commented out debug print
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@ -224,6 +224,7 @@ class BaseTrainer:
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"""Initializes and sets the DistributedDataParallel parameters for training."""
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torch.cuda.set_device(RANK)
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self.device = torch.device("cuda", RANK)
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# LOGGER.info(f'DDP info: RANK {RANK}, WORLD_SIZE {world_size}, DEVICE {self.device}')
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os.environ["TORCH_NCCL_BLOCKING_WAIT"] = "1" # set to enforce timeout
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dist.init_process_group(
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backend="nccl" if dist.is_nccl_available() else "gloo",
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