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Add missing rank argument (pytorch#490)
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nsvanirudh authored and soumith committed Jan 14, 2019
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Expand Up @@ -30,7 +30,7 @@ You should always use the NCCL backend for multi-processing distributed training
### Single node, multiple GPUs:

```bash
python main.py -a resnet50 --lr 0.01 --dist-url 'tcp://127.0.0.1:FREEPORT' --dist-backend 'nccl' --multiprocessing-distributed --world-size 1 [imagenet-folder with train and val folders]
python main.py -a resnet50 --lr 0.01 --dist-url 'tcp://127.0.0.1:FREEPORT' --dist-backend 'nccl' --multiprocessing-distributed --world-size 1 --rank 0 [imagenet-folder with train and val folders]
```

### Multiple nodes:
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