闪电训练
原名：pytorch-lightning
Clean training loops with built-in distributed support.
- 分类
- 开发提效
- 版本
- v1.0.0
- 作者
- 弈韬(@ra1nzzz)
- 下载
- 2
- 收藏
- 0
- 发布
- 2026-08-25
- 更新
- 2026-09-15
- TRACE 评分
- 3.2 / 5
内容概览
PyTorch Lightning organizes PyTorch code to eliminate boilerplate while maintaining flexibility. Installation : Convert PyTorch to Lightning (3 steps): That's it! Trainer handles: - GPU/TPU/CPU switching - Distributed training (DDP, FSDP, DeepSpeed) - Mixed precision (FP16, BF16) - Gradient accumulation - Checkpointing - Logging - Progress bars Original PyTorch code : Lightning version : Benefits : 40+ lines → 15 lines, no device management, automatic distributed Automatic features : - Validation runs every epoch by default - Metrics logged to TensorBoard - Best model checkpointing based on val loss Launch : No changes needed : - Automatic data distribution - Gradient synchronization - Multi-node support (just set num nodes=2) Result : - Auto-saves best 3 models - Stops early if no improvement for 5 epochs - Logs learning rate to TensorBoard Use PyTorch Lightning when : - Want clean, org…