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Option to install only the apps
part of the lightning framework
#15245
Comments
@KogayIrina Thanks for checking out Lightning Apps! Afaik we are actually working on this. I believe the the lightning[apps], lightning[pytorch] etc syntax does not work yet but we will be supported it in the future as this was the plan all along. Please correct me if I'm wrong @Borda @carmocca. |
@awaelchli Hi. Thank you for the response.
|
Hey there, Yes, you would need to use from lightning_app in your code instead of lightning.app. Best |
Hi, @tchaton
It looks like the error comes not from my code but from the |
hey @KogayIrina this was fixed herE: #15124 |
Hi, @rohitgr7 ^_^ I am using the latest
Here is the |
That is expected and we are aware of it. I believe the installation through |
Hi, @awaelchli To me, from the stack trace, it looks like the error comes from the |
looks like that PR wasn't included in patch release. This will work once v1.8 is released in few days :) |
@rohitgr7 thank you for the update :) |
lets proceed it together with #15542 |
🚀 Feature
Option to install only the
apps
part of the lightning framework. Something along the lines ofpip install lightning[apps].
Motivation
I have an unresolvable dependency conflict between the protobuf version required by tensorboard required by lightning and my other dependency.
Pitch
It would be great to have the option to install only the
apps
part when I don't need the other parts with their dependencies.Alternatives
N/A
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 @Borda @carmocca @otaj @justusschock
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