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Lightning 1.5 is going to introduce Fault Tolerant feature.
However, the feature is still requires some improvements. As a matter of fact, Lightning doesn't support to be restarted within the ValidationLoop yet.
This issue tracks this addition.
Pitch
Alternatives
Additional context
If you enjoy Lightning, check out our other projects! ⚡
Metrics: Machine learning metrics for distributed, scalable PyTorch applications.
Flash: The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning
Bolts: Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch
Lightning Transformers: Flexible interface for high performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
The text was updated successfully, but these errors were encountered:
🚀 Feature
Motivation
Lightning 1.5 is going to introduce Fault Tolerant feature.
However, the feature is still requires some improvements. As a matter of fact, Lightning doesn't support to be restarted within the ValidationLoop yet.
This issue tracks this addition.
Pitch
Alternatives
Additional context
If you enjoy Lightning, check out our other projects! ⚡
Metrics: Machine learning metrics for distributed, scalable PyTorch applications.
Flash: The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning
Bolts: Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch
Lightning Transformers: Flexible interface for high performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
The text was updated successfully, but these errors were encountered: