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Currently, the loop reset_on_restart the progress while reloading the states. This means setting ready, started value to the processed / completed one.
This hidden behaviour can be mis-leading and should be exposed within the reset function of the loop.
Pitch
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:
Proposed refactoring or deprecation
Motivation
Currently, the loop reset_on_restart the progress while reloading the states. This means setting ready, started value to the processed / completed one.
This hidden behaviour can be mis-leading and should be exposed within the reset function of the loop.
Pitch
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: