[RFC] Profiler Metrics

🚀 Feature

Lighting profilers generates summaries which are important for analysing the code execution and find bottleneck. However, it might be useful for users to make metrics available, so users can take decision based the speed execution such as logging.

Motivation

Provide an interface for the Profiler to share their metrics with the LoggerConnector.

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.