Thank you very much for your contribution.
I started using Ignite after read the exciting quickstart 44 guide showing the essentials for define and training a simple model. But the provided examples which use multi GPU training do not seem to follow the same simplicity.
Currently, the stable (v0.3.0) release relies only on native PyTorch distributed API where users need to manually set up distributed proc group, wrap model with nn.parallel.DistributedDataParallel 4 and execute the script with torch.distributed.launch tool, or use mp.spawn.