Trainer

Trainer - Comprehensive Guide

Overview

The Trainer automates training workflows after organizing PyTorch code into a LightningModule. It handles loop details, device management, callbacks, gradient operations, checkpointing, and distributed training automatically.

Core Purpose

The Trainer manages:

• Automatically enabling/disabling gradients
• Running training, validation, and test dataloaders
• Calling callbacks at appropriate times
• Placing batches on correct devices
• Orchestrating distributed training
• Progress bars and logging
• Checkpointing and early stopping