Add version compatibility matrix

[SkafteNicki]

📚 Documentation

Based on this discussion on the Torchmetrics side.

Add compatibility matrix between lightning, torchmetrics, flash etc. similar to how torchvision and pytorch do it. Recommended to add it to the README.md file of PL and then the other projects can link to it.

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If you enjoy Lightning, check out our other projects! ⚡

• Metrics: Machine learning metrics for distributed, scalable PyTorch applications.

• Lite: enables pure PyTorch users to scale their existing code on any kind of device while retaining full control over their own loops and optimization logic.

• Flash: The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, fine-tuning, 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.

cc @Borda @rohitgr7

[carmocca]

It should include lightning version, python version, pytorch version, flash version, and torchmetrics version

[SkafteNicki]

@carmocca here is the sub matrix for TM<->PL

PL	TM
1.6	0.8
1.5	0.8
1.4	0.7
1.3	0.7
1.2	0.6

maybe @ethanwharris can pitch in with flash version?

[stale]

This issue has been automatically marked as stale because it hasn't had any recent activity. This issue will be closed in 7 days if no further activity occurs. Thank you for your contributions, Pytorch Lightning Team!