DDP Documentation Clarification

[Unturned3]

📚 Documentation

The documentation on DDP currently says:

Using DDP this way has a few disadvantages over torch.multiprocessing.spawn():

1. All processes (including the main process) participate in training and have the updated state of the model and Trainer state.
2. No multiprocessing pickle errors
3. Easily scales to multi-node training

Are these meant to be advantages instead of disadvantages?

cc @lantiga @Borda