AI BriefingAccelerate for PyTorch Distributed Training
·2021.04.16 09:00
Key point
It's a library that helps run PyTorch training scripts in a distributed environment with minimal code changes.
Details
🤗 Accelerate is a library designed to let PyTorch users maintain control over their training loop while avoiding the complex boilerplate code needed for distributed training (Multi-GPU, TPU, etc.) and mixed precision training.
Key Features:
- Simple API: Existing scripts can be optimized for distributed environments by adding just a few lines of code.
- Device Abstraction: Automatically handles device placement across various environments via
accelerator.device. - Flexibility: You can directly customize the training loop, and easily prepare the model, optimizer, and dataloader with
accelerator.prepare(). - Extensibility: Aims to support various parallel processing methods, including DeepSpeed and AWS SageMaker.
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