What is distributed training in PyTorch?

What is distributed training in PyTorch?

Distributed training in PyTorch allows you to train models across multiple devices or machines, improving efficiency.

How do I set up distributed training in PyTorch?

You can set it up using the torch.distributed package, which provides utilities for multi-process training.

What are the benefits of using distributed training?

The main benefits include faster training times, the ability to handle larger datasets, and improved model performance.

Can you give me an example of a simple distributed training script?

Sure! Here's a basic example using torch.distributed.launch to run your training script across multiple GPUs.