fixing

Author: Borda

.github/CONTRIBUTING.md

@@ -130,11 +130,11 @@ In case you are adding new dependencies, make sure that they are compatible with
 
 ### Documentation
 
-To learn about development of docs, check out the docs [README.md](https://github.com/Lightning-AI/lightning/blob/master/docs/README.md).
+To learn about development of docs, check out the docs [README.md](https://github.com/Lightning-AI/pytorch-lightning/blob/master/docs/README.md).
 
 ### Testing
 
-To learn about tests, check out the tests [README.md](https://github.com/Lightning-AI/lightning/blob/master/tests/README.md).
+To learn about tests, check out the tests [README.md](https://github.com/Lightning-AI/pytorch-lightning/blob/master/tests/README.md).
 
 ### Pull Request
 
@@ -165,7 +165,7 @@ We welcome any useful contribution! For your convenience here's a recommended wo
 
 1. If any of the existing tests fail in your PR on our CI, refer to the following READMEs to identify what's failing and try to address it.
 
-   - [Test README](https://github.com/Lightning-AI/lightning/blob/master/tests/README.md)
+   - [Test README](https://github.com/Lightning-AI/pytorch-lightning/blob/master/tests/README.md)
    - [CI/CD README](https://github.com/Lightning-AI/pytorch-lightning/tree/master/.github/workflows#readme)
 
 1. When you feel ready for integrating your work, mark your PR "Ready for review".

README.md

@@ -31,7 +31,7 @@ ______________________________________________________________________
 
 [![Discord](https://img.shields.io/discord/1077906959069626439?style=plastic)](https://discord.gg/VptPCZkGNa)
 ![GitHub commit activity](https://img.shields.io/github/commit-activity/w/lightning-ai/lightning)
-[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/Lightning-AI/lightning/blob/master/LICENSE)
+[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/Lightning-AI/pytorch-lightning/blob/master/LICENSE)
 
 <!--
 [![CodeFactor](https://www.codefactor.io/repository/github/Lightning-AI/lightning/badge)](https://www.codefactor.io/repository/github/Lightning-AI/lightning)

docs/source-fabric/advanced/compile.rst

@@ -221,7 +221,7 @@ needed to achieve the equivalent of `compile(distributed(quantized(model)))`:
 
         model = fabric.setup(model)
 
-For a full example, see our `FP8 Distributed Transformer example <https://github.com/Lightning-AI/lightning/blob/master/examples/fabric/fp8_distributed_transformer>`_.
+For a full example, see our `FP8 Distributed Transformer example <https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/fabric/fp8_distributed_transformer>`_.
 
 ----
 

docs/source-fabric/advanced/multiple_setup.rst

@@ -113,4 +113,4 @@ You can pair up as many models and optimizers as you want. For example, two mode
     # Set up discriminator
     discriminator, optimizer_dis = fabric.setup(discriminator, optimizer_dis)
 
-For a full example of this use case, see our `GAN example <https://github.com/Lightning-AI/lightning/blob/master/examples/fabric/dcgan>`_.
+For a full example of this use case, see our `GAN example <https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/fabric/dcgan>`_.

docs/source-fabric/examples/index.rst

@@ -10,31 +10,31 @@ Examples
 .. displayitem::
     :header: Image Classification
     :description: Train an image classifier on the MNIST dataset
-    :button_link: https://github.com/Lightning-AI/lightning/blob/master/examples/fabric/image_classifier
+    :button_link: https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/fabric/image_classifier
     :col_css: col-md-4
     :height: 200
     :tag: basic
 
 .. displayitem::
     :header: Transformer Language Model
     :description: A simple language model that learns to predict the next word in a sentence
-    :button_link: https://github.com/Lightning-AI/lightning/blob/master/examples/fabric/language_model
+    :button_link: https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/fabric/language_model
     :col_css: col-md-4
     :height: 200
     :tag: basic
 
 .. displayitem::
     :header: GAN
     :description: Train a GAN that generates realistic human faces
-    :button_link: https://github.com/Lightning-AI/lightning/blob/master/examples/fabric/dcgan
+    :button_link: https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/fabric/dcgan
     :col_css: col-md-4
     :height: 200
     :tag: intermediate
 
 .. displayitem::
     :header: Meta-Learning
     :description: Distributed training with the MAML algorithm on the Omniglot and MiniImagenet datasets
-    :button_link: https://github.com/Lightning-AI/lightning/blob/master/examples/fabric/meta_learning
+    :button_link: https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/fabric/meta_learning
     :col_css: col-md-4
     :height: 200
     :tag: intermediate
@@ -50,7 +50,7 @@ Examples
 .. displayitem::
     :header: Reinforcement Learning
     :description: Implementation of the Proximal Policy Optimization (PPO) algorithm with multi-GPU support
-    :button_link: https://github.com/Lightning-AI/lightning/blob/master/examples/fabric/reinforcement_learning
+    :button_link: https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/fabric/reinforcement_learning
     :col_css: col-md-4
     :height: 200
     :tag: intermediate

docs/source-fabric/fundamentals/convert.rst

@@ -84,7 +84,7 @@ All steps combined, this is how your code will change:
 
 
 That's it! You can now train on any device at any scale with a switch of a flag.
-Check out our before-and-after example for `image classification <https://github.com/Lightning-AI/lightning/blob/master/examples/fabric/image_classifier/README.md>`_ and many more :doc:`examples <../examples/index>` that use Fabric.
+Check out our before-and-after example for `image classification <https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/fabric/image_classifier/README.md>`_ and many more :doc:`examples <../examples/index>` that use Fabric.
 
 
 ----

docs/source-pytorch/advanced/compile.rst

@@ -251,7 +251,7 @@ needed to achieve the equivalent of `compile(distributed(quantized(model)))`:
 
             self.model = torch.compile(model)
 
-For a full example, see our `FP8 Distributed Transformer example <https://github.com/Lightning-AI/lightning/blob/master/examples/pytorch/fp8_distributed_transformer>`_.
+For a full example, see our `FP8 Distributed Transformer example <https://github.com/Lightning-AI/pytorch-lightning/blob/master/examples/pytorch/fp8_distributed_transformer>`_.
 
 ----
 

docs/source-pytorch/community/governance.rst

@@ -67,6 +67,6 @@ and start tracking the development. It is possible that priorities change over t
 
 Commits to the project are exclusively to be added by pull requests on GitHub and anyone in the community is welcome to
 review them. However, reviews submitted by
-`code owners <https://github.com/Lightning-AI/lightning/blob/master/.github/CODEOWNERS>`_
+`code owners <https://github.com/Lightning-AI/pytorch-lightning/blob/master/.github/CODEOWNERS>`_
 have higher weight and it is necessary to get the approval of code owners before a pull request can be merged.
 Additional requirements may apply case by case.

src/pytorch_lightning/README.md

@@ -15,7 +15,7 @@ ______________________________________________________________________
   <a href="#examples">Examples</a> •
   <a href="#community">Community</a> •
   <a href="https://lightning.ai/">Lightning AI</a> •
-  <a href="https://github.com/Lightning-AI/lightning/blob/master/LICENSE">License</a>
+  <a href="https://github.com/Lightning-AI/pytorch-lightning/blob/master/LICENSE">License</a>
 </p>
 
 <!-- DO NOT ADD CONDA DOWNLOADS... README CHANGES MUST BE APPROVED BY EDEN OR WILL -->
@@ -28,7 +28,7 @@ ______________________________________________________________________
 [![codecov](https://codecov.io/gh/Lightning-AI/pytorch-lightning/graph/badge.svg?token=SmzX8mnKlA)](https://codecov.io/gh/Lightning-AI/pytorch-lightning)
 
 [![ReadTheDocs](https://readthedocs.org/projects/pytorch-lightning/badge/?version=stable)](https://lightning.ai/docs/pytorch/stable/)[![Discord](https://img.shields.io/discord/1077906959069626439?style=plastic)](https://discord.gg/VptPCZkGNa)
-[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/Lightning-AI/lightning/blob/master/LICENSE)
+[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/Lightning-AI/pytorch-lightning/blob/master/LICENSE)
 
 <!--
 [![CodeFactor](https://www.codefactor.io/repository/github/Lightning-AI/lightning/badge)](https://www.codefactor.io/repository/github/Lightning-AI/lightning)

tests/README.md

@@ -1,6 +1,6 @@
 # PyTorch-Lightning Tests
 
-Most of the tests in PyTorch Lightning train a [BoringModel](https://github.com/Lightning-AI/lightning/blob/master/src/lightning/pytorch/demos/boring_classes.py) under various trainer conditions (ddp, amp, etc...). Want to add a new test case and not sure how? [Talk to us!](https://www.pytorchlightning.ai/community)
+Most of the tests in PyTorch Lightning train a [BoringModel](https://github.com/Lightning-AI/pytorch-lightning/blob/master/src/lightning/pytorch/demos/boring_classes.py) under various trainer conditions (ddp, amp, etc...). Want to add a new test case and not sure how? [Talk to us!](https://www.pytorchlightning.ai/community)
 
 ## Running tests
 
@@ -26,7 +26,7 @@ Additionally, for testing backward compatibility with older versions of PyTorch
 bash .actions/pull_legacy_checkpoints.sh
 ```
 
-Note: These checkpoints are generated to set baselines for maintaining backward compatibility with legacy versions of PyTorch Lightning. Details of checkpoints for back-compatibility can be found [here](https://github.com/Lightning-AI/lightning/blob/master/tests/legacy/README.md).
+Note: These checkpoints are generated to set baselines for maintaining backward compatibility with legacy versions of PyTorch Lightning. Details of checkpoints for back-compatibility can be found [here](https://github.com/Lightning-AI/pytorch-lightning/blob/master/tests/legacy/README.md).
 
 You can run the full test suite in your terminal via this make script: