Fix repository links (#13304)

* GH org rename Lightning-AI

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* repo name

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: Borda

.github/BECOMING_A_CORE_CONTRIBUTOR.md

@@ -53,7 +53,7 @@ Lightning should reflect the broader community it serves. As such we should have
 
 We have an active [Slack](https://www.pytorchlightning.ai/community) community, where questions are asked daily.
 This is a great way to show off your Lightning and PyTorch knowledge, and help out others.
-There's also [GitHub discussions](https://github.com/PyTorchLightning/pytorch-lightning/discussions).
+There's also [GitHub discussions](https://github.com/Lightning-AI/lightning/discussions).
 
 ## Applying
 

.github/CONTRIBUTING.md

@@ -97,7 +97,7 @@ _**Note**, even if you do not find the solution, sending a PR with a test coveri
 
 1. Add/update the relevant tests!
 
-- [This PR](https://github.com/PyTorchLightning/pytorch-lightning/pull/2671) is a good example for adding a new metric, and [this one for a new logger](https://github.com/PyTorchLightning/pytorch-lightning/pull/2721).
+- [This PR](https://github.com/Lightning-AI/lightning/pull/2671) is a good example for adding a new metric, and [this one for a new logger](https://github.com/Lightning-AI/lightning/pull/2721).
 
 ### Test cases:
 
@@ -130,11 +130,11 @@ In case you adding new dependencies, make sure that they are compatible with the
 
 ### Documentation
 
-To learn about development of docs, check out the docs [README.md](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/docs/README.md).
+To learn about development of docs, check out the docs [README.md](https://github.com/Lightning-AI/lightning/blob/master/docs/README.md).
 
 ### Testing
 
-To learn about tests, check out the tests [README.md](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/tests/README.md).
+To learn about tests, check out the tests [README.md](https://github.com/Lightning-AI/lightning/blob/master/tests/README.md).
 
 ### Pull Request
 
@@ -165,8 +165,8 @@ 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/PyTorchLightning/pytorch-lightning/blob/master/tests/README.md)
-   - [CI/CD README](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/.github/workflows/README.md)
+   - [Test README](https://github.com/Lightning-AI/lightning/blob/master/tests/README.md)
+   - [CI/CD README](https://github.com/Lightning-AI/lightning/blob/master/.github/workflows/README.md)
 
 1. When you feel ready for integrating your work, mark your PR "Ready for review".
 
@@ -189,7 +189,7 @@ We welcome any useful contribution! For your convenience here's a recommended wo
 #### How can I help/contribute?
 
 All types of contributions are welcome - reporting bugs, fixing documentation, adding test cases, solving issues, and preparing bug fixes.
-To get started with code contributions, look for issues marked with the label [good first issue](https://github.com/PyTorchLightning/pytorch-lightning/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) or chose something close to your domain with the label [help wanted](https://github.com/PyTorchLightning/pytorch-lightning/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22). Before coding, make sure that the issue description is clear and comment on the issue so that we can assign it to you (or simply self-assign if you can).
+To get started with code contributions, look for issues marked with the label [good first issue](https://github.com/Lightning-AI/lightning/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) or chose something close to your domain with the label [help wanted](https://github.com/Lightning-AI/lightning/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22). Before coding, make sure that the issue description is clear and comment on the issue so that we can assign it to you (or simply self-assign if you can).
 
 #### Is there a recommendation for branch names?
 

.github/ISSUE_TEMPLATE/bug_report.md

@@ -20,7 +20,7 @@ https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob
 IMPORTANT: has to be public.
 
 or this simple template:
-https://github.com/PyTorchLightning/pytorch-lightning/blob/master/examples/pl_bug_report/bug_report_model.py
+https://github.com/Lightning-AI/lightning/blob/master/examples/pl_bug_report/bug_report_model.py
 
 If you could not reproduce using the BoringModel and still think there's a bug, please post here
 but remember, bugs with code are fixed faster!
@@ -34,12 +34,12 @@ but remember, bugs with code are fixed faster!
 
 <!--
 Please copy and paste the output from our environment collection script:
-https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/requirements/collect_env_details.py
+https://raw.githubusercontent.com/Lightning-AI/lightning/master/requirements/collect_env_details.py
 (For security purposes, please check the contents of the script before running it)
 
 You can get the script and run it with:
 ```bash
-wget https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/requirements/collect_env_details.py
+wget https://raw.githubusercontent.com/Lightning-AI/lightning/master/requirements/collect_env_details.py
 python collect_env_details.py
 ```
 

.github/ISSUE_TEMPLATE/config.yml

@@ -1,7 +1,7 @@
 blank_issues_enabled: false
 contact_links:
   - name: Ask a Question
-    url: https://github.com/PyTorchLightning/pytorch-lightning/discussions/new
+    url: https://github.com/Lightning-AI/lightning/discussions/new
     about: Ask and answer Lightning related questions
   - name: 💬 Slack
     url: https://www.pytorchlightning.ai/community

.github/ISSUE_TEMPLATE/documentation.md

@@ -22,12 +22,12 @@ ______________________________________________________________________
 
 #### If you enjoy Lightning, check out our other projects! ⚡
 
-- [**Metrics**](https://github.com/PyTorchLightning/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
+- [**Metrics**](https://github.com/Lightning-AI/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
 
 - [**Lite**](https://pytorch-lightning.readthedocs.io/en/latest/starter/lightning_lite.html): 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**](https://github.com/PyTorchLightning/lightning-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.
+- [**Flash**](https://github.com/Lightning-AI/lightning-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**](https://github.com/PyTorchLightning/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
+- [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
 
-- [**Lightning Transformers**](https://github.com/PyTorchLightning/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
+- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

.github/ISSUE_TEMPLATE/feature_request.md

@@ -30,12 +30,12 @@ ______________________________________________________________________
 
 #### If you enjoy Lightning, check out our other projects! ⚡
 
-- [**Metrics**](https://github.com/PyTorchLightning/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
+- [**Metrics**](https://github.com/Lightning-AI/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
 
 - [**Lite**](https://pytorch-lightning.readthedocs.io/en/latest/starter/lightning_lite.html): 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**](https://github.com/PyTorchLightning/lightning-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.
+- [**Flash**](https://github.com/Lightning-AI/lightning-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**](https://github.com/PyTorchLightning/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
+- [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
 
-- [**Lightning Transformers**](https://github.com/PyTorchLightning/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
+- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

.github/ISSUE_TEMPLATE/refactor.md

@@ -26,12 +26,12 @@ ______________________________________________________________________
 
 #### If you enjoy Lightning, check out our other projects! ⚡
 
-- [**Metrics**](https://github.com/PyTorchLightning/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
+- [**Metrics**](https://github.com/Lightning-AI/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
 
 - [**Lite**](https://pytorch-lightning.readthedocs.io/en/latest/starter/lightning_lite.html): 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**](https://github.com/PyTorchLightning/lightning-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.
+- [**Flash**](https://github.com/Lightning-AI/lightning-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**](https://github.com/PyTorchLightning/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
+- [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
 
-- [**Lightning Transformers**](https://github.com/PyTorchLightning/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.
+- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

.github/PULL_REQUEST_TEMPLATE.md

@@ -19,20 +19,20 @@ Fixes #\<issue_number>
 ## Before submitting
 
 - [ ] Was this **discussed/approved** via a GitHub issue? (not for typos and docs)
-- [ ] Did you read the [contributor guideline](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/.github/CONTRIBUTING.md), **Pull Request** section?
+- [ ] Did you read the [contributor guideline](https://github.com/Lightning-AI/lightning/blob/master/.github/CONTRIBUTING.md), **Pull Request** section?
 - [ ] Did you make sure your **PR does only one thing**, instead of bundling different changes together?
 - [ ] Did you make sure to **update the documentation** with your changes? (if necessary)
 - [ ] Did you write any **new necessary tests**? (not for typos and docs)
 - [ ] Did you verify new and **existing tests pass** locally with your changes?
 - [ ] Did you list all the **breaking changes** introduced by this pull request?
-- [ ] Did you **update the [CHANGELOG](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/CHANGELOG.md)**? (not for typos, docs, test updates, or minor internal changes/refactors)
+- [ ] Did you **update the [CHANGELOG](https://github.com/Lightning-AI/lightning/blob/master/CHANGELOG.md)**? (not for typos, docs, test updates, or minor internal changes/refactors)
 
 <!-- In the CHANGELOG, separate each item in the unreleased section by a blank line to reduce collisions -->
 
 ## PR review
 
 Anyone in the community is welcome to review the PR.
-Before you start reviewing, make sure you have read the [review guidelines](https://github.com/PyTorchLightning/pytorch-lightning/wiki/Review-guidelines). In short, see the following bullet-list:
+Before you start reviewing, make sure you have read the [review guidelines](https://github.com/Lightning-AI/lightning/wiki/Review-guidelines). In short, see the following bullet-list:
 
 - [ ] Is this pull request ready for review? (if not, please submit in draft mode)
 - [ ] Check that all items from **Before submitting** are resolved

.github/dependabot.yml

@@ -21,4 +21,4 @@ updates:
     open-pull-requests-limit: 5
     reviewers:
       - "carmocca"
-      - "PyTorchLightning/teams/core-lightning"
+      - "Lightning-AI/teams/core-lightning"

.github/mergify.yml

@@ -67,4 +67,4 @@ pull_request_rules:
     actions:
       request_reviews:
         teams:
-          - "@PyTorchLightning/core-lightning"
+          - "@Lightning-AI/core-lightning"

.github/workflows/events-nightly.yml

@@ -13,7 +13,7 @@ env:
 # based on https://github.com/pypa/gh-action-pypi-publish
 jobs:
   pypi-release:
-    if: ${{ github.repository_owner == 'PyTorchLightning' }}
+    if: ${{ github.repository_owner == 'Lightning-AI' }}
     runs-on: ubuntu-20.04
 
     steps:
@@ -61,7 +61,7 @@ jobs:
           SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
 
   docker-XLA:
-    if: ${{ github.repository_owner == 'PyTorchLightning' }}
+    if: ${{ github.repository_owner == 'Lightning-AI' }}
     runs-on: ubuntu-20.04
     strategy:
       fail-fast: false
@@ -108,7 +108,7 @@ jobs:
           SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
 
   docker-CUDA:
-    if: ${{ github.repository_owner == 'PyTorchLightning' }}
+    if: ${{ github.repository_owner == 'Lightning-AI' }}
     runs-on: ubuntu-20.04
     strategy:
       fail-fast: false
@@ -159,7 +159,7 @@ jobs:
           SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
 
   docker-Conda:
-    if: ${{ github.repository_owner == 'PyTorchLightning' }}
+    if: ${{ github.repository_owner == 'Lightning-AI' }}
     runs-on: ubuntu-20.04
     strategy:
       fail-fast: false
@@ -209,7 +209,7 @@ jobs:
           SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
 
   docker-IPU:
-    if: ${{ github.repository_owner == 'PyTorchLightning' }}
+    if: ${{ github.repository_owner == 'Lightning-AI' }}
     runs-on: ubuntu-20.04
     strategy:
       fail-fast: false
@@ -268,7 +268,7 @@ jobs:
           SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
 
   docker-HPU:
-    if: ${{ github.repository_owner == 'PyTorchLightning' }}
+    if: ${{ github.repository_owner == 'Lightning-AI' }}
     runs-on: ubuntu-20.04
     strategy:
       fail-fast: false

.github/workflows/events-recurrent.yml

@@ -15,7 +15,7 @@ env:
 jobs:
   tpu-cleanup:
     name: TPU cleaning
-    if: ${{ github.repository_owner == 'PyTorchLightning' }}
+    if: ${{ github.repository_owner == 'Lightning-AI' }}
     runs-on: ubuntu-20.04
 
     steps:

.gitmodules

@@ -1,4 +1,4 @@
 [submodule "_notebooks"]
 	path = _notebooks
-	url = https://github.com/PyTorchLightning/lightning-tutorials.git
+	url = https://github.com/Lightning-AI/lightning-tutorials.git
 	branch = publication

CITATION.cff

@@ -11,7 +11,7 @@ version: 1.4
 doi: 10.5281/zenodo.3828935
 license: "Apache-2.0"
 url: "https://www.pytorchlightning.ai"
-repository-code: "https://github.com/PyTorchLightning/pytorch-lightning"
+repository-code: "https://github.com/Lightning-AI/lightning"
 keywords:
   - machine learning
   - deep learning