How do you implement multi-GPU training in PyTorch for large-scale generative models

Question

Can you tell me how you implement multi-GPU training in PyTorch for large-scale generative models?

Answer 1

 You  can implement multi-GPU training in PyTorch for large-scale generative models by referring to the code below:

In the above code, we are using DataParallel, which wraps the model with torch.nn.DataParallel enables multi-GPU training, Device Handling moves model and data to Cuda for GPU utilization, and Scalability is Suitable for training large-scale generative models with significant compute needs.

Hence, this approach scales the workload across multiple GPUs efficiently.