Distributed Training, Model Parallelism, Data Parallelism, Pytorch, Aurorain.
device_ids=[rank]) ... cleanup() ### Step 3: Spawn to run def run_dummy(dummy_fn, world_size): mp.spawn(dummy_fn, args=(world_size,), nprocs=world_size, join=True) Model Parallelism in PyTorch Model parallelism shards a model (i.e., its layers or tensors) across multiple cores, unlike data