pytorch-lightning

What problem does it solve?

This Skill simplifies and standardizes the process of training PyTorch models, abstracting away complex boilerplate code for distributed training, mixed precision, and callbacks.

Core Features & Use Cases

• Unified Training Loop: Write clean, organized PyTorch code that scales from a laptop to a supercomputer.
• Automatic Distributed Training: Effortlessly switch between single GPU, multi-GPU (DDP, FSDP), and multi-node setups with minimal code changes.
• Built-in Best Practices: Leverages callbacks for logging, checkpointing, and early stopping, ensuring robust and reproducible training.
• Use Case: Train a large language model across multiple GPUs and nodes without manually managing data parallelism, gradient synchronization, or device placement.

Quick Start

Use the pytorch-lightning skill to train a PyTorch model using the provided data loaders and model definition.