PyTorch Lightning

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Description	The ultimate PyTorch research framework. Scale your models, without the boilerplate.
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h2 tags	Lightning makes coding complex networks simple. Seamlessly train hundreds of models in the cloud from your laptop with Grid. Ultimate Flexibility for Any Type of Research TPUs or GPUs, without code changes Turn PyTorch into Lightning 1. Computational code goes into LightningModule 2. Set forward hook 3. Optimizers go into configure_optimizers LightningModule hook 4. Training logic into training_step LightningModule hook 5. Validation logic goes to validation_step LightningModule hook 6. Remove Any .CUDA() or .to(device) calls 7. Override LightningModule Hooks as needed 8. Init LightningModule 9. Init the Lightning Trainer 10. Pass in any PyTorch DataLoader to trainer.fit Train as fast as lightning Train as fast as lightning Train as fast as lightning Train as fast as lightning Join us on Slack!
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