Pytorch Lightning
원문: pytorch-lightning
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
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PyTorch Lightning Overview PyTorch Lightning is a deep learning framework that organizes PyTorch code to eliminate boilerplate while maintaining full flexibility. Automate training workflows, multi device orchestration, and implement best practices for neural network training and scaling across multiple GPUs/TPUs. When to Use This Skill This skill should be used when: Building, training, or deploying neural networks using PyTorch Lightning Organizing PyTorch code into LightningModules Configuring Trainers for multi GPU/TPU training Implementing data pipelines with LightningDataModules Working with callbacks, logging, and distributed training strategies (DDP, FSDP, DeepSpeed) Structuring deep…
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