docs: updated broken links (#16191)

Co-authored-by: Shashwat <shashwat>
Fixes #16186

Author: ShashwatAgrawal20

.github/CONTRIBUTING.md

@@ -199,7 +199,7 @@ We recommend you follow this convention `<type>/<issue-id>_<short-name>` where t
 
 We recommend creating a PR in a separate branch other than `master`, especially if you plan to submit several changes and do not want to wait until the first one is resolved (we can work on them in parallel).
 
-First, make sure you have set [upstream](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/configuring-a-remote-for-a-fork) by running:
+First, make sure you have set [upstream](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/configuring-a-remote-repository-for-a-fork) by running:
 
 ```bash
 git remote add upstream https://github.com/Lightning-AI/lightning.git

README.md

@@ -367,36 +367,32 @@ ______________________________________________________________________
 
 ## Examples
 
-###### Hello world
+###### Self-supervised Learning
 
-- [MNIST hello world](https://pytorch-lightning.readthedocs.io/en/latest/notebooks/lightning_examples/mnist-hello-world.html)
+- [CPC transforms](https://lightning-bolts.readthedocs.io/en/stable/transforms/self_supervised.html#cpc-transforms)
+- [Moco v2 tranforms](https://lightning-bolts.readthedocs.io/en/stable/transforms/self_supervised.html#moco-v2-transforms)
+- [SimCLR transforms](https://lightning-bolts.readthedocs.io/en/stable/transforms/self_supervised.html#simclr-transforms)
 
-###### Contrastive Learning
+###### Convolutional Architectures
 
-- [BYOL](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/self_supervised.html#byol)
-- [CPC v2](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/self_supervised.html#cpc-v2)
-- [Moco v2](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/self_supervised.html#moco-v2-api)
-- [SIMCLR](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/self_supervised.html#simclr)
-
-###### NLP
-
-- [GPT-2](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/convolutional.html#gpt-2)
-- [BERT](https://pytorch-lightning.readthedocs.io/en/latest/notebooks/lightning_examples/text-transformers.html)
+- [GPT-2](https://lightning-bolts.readthedocs.io/en/stable/models/convolutional.html#gpt-2)
+- [UNet](https://lightning-bolts.readthedocs.io/en/stable/models/convolutional.html#unet)
 
 ###### Reinforcement Learning
 
-- [DQN](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/reinforce_learn.html#dqn-models)
-- [Dueling-DQN](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/reinforce_learn.html#dueling-dqn)
-- [Reinforce](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/reinforce_learn.html#reinforce)
+- [DQN Loss](https://lightning-bolts.readthedocs.io/en/stable/losses.html#dqn-loss)
+- [Double DQN Loss](https://lightning-bolts.readthedocs.io/en/stable/losses.html#double-dqn-loss)
+- [Per DQN Loss](https://lightning-bolts.readthedocs.io/en/stable/losses.html#per-dqn-loss)
 
-###### Vision
+###### GANs
 
-- [GAN](https://pytorch-lightning.readthedocs.io/en/latest/notebooks/lightning_examples/basic-gan.html)
+- [Basic GAN](https://lightning-bolts.readthedocs.io/en/stable/models/gans.html#basic-gan)
+- [DCGAN](https://lightning-bolts.readthedocs.io/en/stable/models/gans.html#dcgan)
 
 ###### Classic ML
 
-- [Logistic Regression](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/classic_ml.html#logistic-regression)
-- [Linear Regression](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/classic_ml.html#linear-regression)
+- [Logistic Regression](https://lightning-bolts.readthedocs.io/en/stable/models/classic_ml.html#logistic-regression)
+- [Linear Regression](https://lightning-bolts.readthedocs.io/en/stable/models/classic_ml.html#linear-regression)
 
 ______________________________________________________________________
 

dockers/README.md

@@ -50,8 +50,6 @@ docker run --rm -it --gpus all pytorchlightning/pytorch_lightning:base-cuda-py3.
 
 ## Run Jupyter server
 
-Inspiration comes from https://u.group/thinking/how-to-put-jupyter-notebooks-in-a-dockerfile
-
 1. Build the docker image:
    ```bash
    docker image build -t pytorch-lightning:v1.6.5 -f dockers/nvidia/Dockerfile --build-arg LIGHTNING_VERSION=1.6.5 .

examples/README.md

@@ -26,7 +26,6 @@ ______________________________________________________________________
 In this folder, we have 2 simple examples that showcase the power of the Lightning Trainer.
 
 - [Image Classifier](pl_basics/backbone_image_classifier.py) (trains arbitrary datasets with arbitrary backbones).
-- [Image Classifier + DALI](convert_from_pt_to_pl/image_classifier_4_dali.py) (defines the model inside the `LightningModule`).
 - [Autoencoder](pl_basics/autoencoder.py)
 
 ______________________________________________________________________

src/lightning_app/CHANGELOG.md

@@ -131,7 +131,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed SSH CLI command listing stopped components ([#15810](https://github.com/Lightning-AI/lightning/pull/15810))
 - Fixed bug when launching apps on multiple clusters ([#15484](https://github.com/Lightning-AI/lightning/pull/15484))
 - Fixed Sigterm Handler causing thread lock which caused KeyboardInterrupt to hang ([#15881](https://github.com/Lightning-AI/lightning/pull/15881))
-- Fixed MPS error for multinode component (defaults to cpu on mps devices now as distributed operations are not supported by pytorch on mps) ([#15748](https://github.com/Ligtning-AI/lightning/pull/15748))
+- Fixed MPS error for multinode component (defaults to cpu on mps devices now as distributed operations are not supported by pytorch on mps) ([#15748](https://github.com/Lightning-AI/lightning/pull/15748))
 - Fixed the work not stopped when successful when passed directly to the LightningApp ([#15801](https://github.com/Lightning-AI/lightning/pull/15801))
 - Fixed the PyTorch Inference locally on GPU ([#15813](https://github.com/Lightning-AI/lightning/pull/15813))
 - Fixed the `enable_spawn` method of the `WorkRunExecutor` ([#15812](https://github.com/Lightning-AI/lightning/pull/15812))

src/lightning_app/README.md

@@ -33,7 +33,7 @@ With Lightning Apps, your favorite components can work together on any machine a
 <summary>Prerequisites</summary>
 
 > TIP: We strongly recommend creating a virtual environment first.
-> Don’t know what this is? Follow our [beginner guide here](https://lightning.ai/lightning-docs/install_beginner.html).
+> Don’t know what this is? Follow our [beginner guide here](https://lightning.ai/docs/stable/install/installation.html).
 
 - Python 3.8.x or later (3.8.x, 3.9.x, 3.10.x, ...)
 - Git
@@ -73,11 +73,11 @@ lightning run app app.py
 lightning run app app.py --cloud
 ```
 
-[Read this guide](https://lightning.ai/lightning-docs/lightning_apps_intro.html) to learn the basics of Lightning Apps in 15 minutes.
+[Read this guide](https://lightning.ai/docs/stable/levels/basic/) to learn the basics of Lightning Apps in 15 minutes.
 
 # Features
 
-Lightning Apps consist of a root [LightningFlow](https://lightning.ai/lightning-docs/lightning_apps_intro.html#define-root-component) component, that optionally contains a tree of 2 types of components: [LightningFlow](https://lightning.ai/lightning-docs/core_api/lightning_flow.html) 🌊 and [LightningWork](https://lightning.ai/lightning-docs/core_api/lightning_work/) ⚒️. Key functionality includes:
+Lightning Apps consist of a root [LightningFlow](https://lightning.ai/docs/stable/glossary/app_tree.html) component, that optionally contains a tree of 2 types of components: [LightningFlow](https://lightning.ai/lightning-docs/core_api/lightning_flow.html) 🌊 and [LightningWork](https://lightning.ai/lightning-docs/core_api/lightning_work/) ⚒️. Key functionality includes:
 
 - A shared state between components.
 - A constantly running event loop for reactivity.
@@ -113,7 +113,7 @@ Ready to use [built-in components](https://lightning.ai/lightning-docs/api_refer
 
 # App gallery
 
-The [Lightning AI website](https://www.lightning.ai/) features a curated gallery of Lightning Apps and components that makes it easy to get started. A few highlights:
+The [Lightning AI website](https://lightning.ai/) features a curated gallery of Lightning Apps and components that makes it easy to get started. A few highlights:
 
 | App                            | Description                                                                                                                                                                                                  |
 | ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |

src/lightning_app/cli/app-template/README.md

@@ -1,6 +1,6 @@
 # placeholdername app
 
-This ⚡ [Lightning app](lightning.ai) ⚡ was generated automatically with:
+This ⚡ [Lightning app](https://lightning.ai/) ⚡ was generated automatically with:
 
 ```bash
 lightning init app placeholdername

src/lightning_app/cli/component-template/README.md

@@ -1,6 +1,6 @@
 # placeholdername component
 
-This ⚡ [Lightning component](lightning.ai) ⚡ was generated automatically with:
+This ⚡ [Lightning component](https://lightning.ai/) ⚡ was generated automatically with:
 
 ```bash
 lightning init component placeholdername

src/pytorch_lightning/CHANGELOG.md

@@ -237,7 +237,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added an option to configure the signal SLURM sends when a job is preempted or requeued ([#14626](https://github.com/Lightning-AI/lightning/pull/14626))
 - Added a warning when the model passed to `LightningLite.setup()` does not have all parameters on the same device ([#14822](https://github.com/Lightning-AI/lightning/pull/14822))
 - The `CometLogger` now flags the Comet Experiments as being created from Lightning for analytics purposes ([#14906](https://github.com/Lightning-AI/lightning/pull/14906))
-- Introduce `ckpt_path="hpc"` keyword for checkpoint loading ([#14911](https://github.,com/Lightning-AI/lightning/pull/14911))
+- Introduce `ckpt_path="hpc"` keyword for checkpoint loading ([#14911](https://github.com/Lightning-AI/lightning/pull/14911))
 - Added a more descriptive error message when attempting to fork processes with pre-initialized CUDA context ([#14709](https://github.com/Lightning-AI/lightning/pull/14709))
 - Added support for custom parameters in subclasses of `SaveConfigCallback` ([#14998](https://github.com/Lightning-AI/lightning/pull/14998))
 - Added `inference_mode` flag to Trainer to let users enable/disable inference mode during evaluation ([#15034](https://github.com/Lightning-AI/lightning/pull/15034))
@@ -299,7 +299,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
   * Deprecated the `pytorch_lightning.utilities.device_parser.parse_hpus` in favor of `pytorch_lightning.accelerators.hpu.parse_hpus`
 - Deprecated duplicate `SaveConfigCallback` parameters in `LightningCLI.__init__`: `save_config_kwargs`, `save_config_overwrite` and `save_config_multifile`. New `save_config_kwargs` parameter should be used instead ([#14998](https://github.com/Lightning-AI/lightning/pull/14998))
 - Deprecated `TrainerFn.TUNING`, `RunningStage.TUNING` and `trainer.tuning` property ([#15100](https://github.com/Lightning-AI/lightning/pull/15100))
-- Deprecated custom `pl.utilities.distributed.AllGatherGrad` implementation in favor of PyTorch's ([#15364](https://github.com/Lightnign-AI/lightning/pull/15364))
+- Deprecated custom `pl.utilities.distributed.AllGatherGrad` implementation in favor of PyTorch's ([#15364](https://github.com/Lightning-AI/lightning/pull/15364))
 
 ### Removed
 
@@ -327,7 +327,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
   * `pytorch_lightning.utilities.warnings.LightningDeprecationWarning` in favor of `pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning`
 - Removed deprecated `Trainer.num_processes` attribute in favour of `Trainer.num_devices` ([#14423](https://github.com/Lightning-AI/lightning/pull/14423))
 - Removed the deprecated `Trainer.data_parallel_device_ids` hook in favour of `Trainer.device_ids` ([#14422](https://github.com/Lightning-AI/lightning/pull/14422))
-- Removed the deprecated class `TrainerCallbackHookMixin` ([#14401](https://github.com/Lightning-AI/lightning/14401))
+- Removed the deprecated class `TrainerCallbackHookMixin` ([#14401](https://github.com/Lightning-AI/lightning/pull/14401))
 - Removed the deprecated `BaseProfiler` and `AbstractProfiler` classes ([#14404](https://github.com/Lightning-AI/lightning/pull/14404))
 - Removed the deprecated way to set the distributed backend via the environment variable `PL_TORCH_DISTRIBUTED_BACKEND`, in favor of setting the `process_group_backend` in the strategy constructor ([#14693](https://github.com/Lightning-AI/lightning/pull/14693))
 - Removed deprecated callback hooks ([#14834](https://github.com/Lightning-AI/lightning/pull/14834))
@@ -3214,7 +3214,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Using `.comet.config` file for `CometLogger` ([#1913](https://github.com/Lightning-AI/lightning/pull/1913))
 - Updated hooks arguments - breaking for `setup` and `teardown` ([#2850](https://github.com/Lightning-AI/lightning/pull/2850))
 - Using `gfile` to support remote directories ([#2164](https://github.com/Lightning-AI/lightning/pull/2164))
-- Moved optimizer creation after device placement for DDP backends ([#2904](https://github.com/Lightning-AI/lighting/pull/2904))
+- Moved optimizer creation after device placement for DDP backends ([#2904](https://github.com/Lightning-AI/lightning/pull/2904))
 - Support `**DictConfig` for `hparam` serialization ([#2519](https://github.com/Lightning-AI/lightning/pull/2519))
 - Removed callback metrics from test results obj ([#2994](https://github.com/Lightning-AI/lightning/pull/2994))
 - Re-enabled naming metrics in ckpt name ([#3060](https://github.com/Lightning-AI/lightning/pull/3060))

src/pytorch_lightning/README.md

@@ -355,36 +355,32 @@ ______________________________________________________________________
 
 ## Examples
 
-###### Hello world
+###### Self-supervised Learning
 
-- [MNIST hello world](https://pytorch-lightning.readthedocs.io/en/latest/notebooks/lightning_examples/mnist-hello-world.html)
+- [CPC transforms](https://lightning-bolts.readthedocs.io/en/stable/transforms/self_supervised.html#cpc-transforms)
+- [Moco v2 tranforms](https://lightning-bolts.readthedocs.io/en/stable/transforms/self_supervised.html#moco-v2-transforms)
+- [SimCLR transforms](https://lightning-bolts.readthedocs.io/en/stable/transforms/self_supervised.html#simclr-transforms)
 
-###### Contrastive Learning
+###### Convolutional Architectures
 
-- [BYOL](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/self_supervised.html#byol)
-- [CPC v2](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/self_supervised.html#cpc-v2)
-- [Moco v2](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/self_supervised.html#moco-v2-api)
-- [SIMCLR](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/self_supervised.html#simclr)
-
-###### NLP
-
-- [GPT-2](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/convolutional.html#gpt-2)
-- [BERT](https://pytorch-lightning.readthedocs.io/en/latest/notebooks/lightning_examples/text-transformers.html)
+- [GPT-2](https://lightning-bolts.readthedocs.io/en/stable/models/convolutional.html#gpt-2)
+- [UNet](https://lightning-bolts.readthedocs.io/en/stable/models/convolutional.html#unet)
 
 ###### Reinforcement Learning
 
-- [DQN](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/reinforce_learn.html#dqn-models)
-- [Dueling-DQN](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/reinforce_learn.html#dueling-dqn)
-- [Reinforce](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/reinforce_learn.html#reinforce)
+- [DQN Loss](https://lightning-bolts.readthedocs.io/en/stable/losses.html#dqn-loss)
+- [Double DQN Loss](https://lightning-bolts.readthedocs.io/en/stable/losses.html#double-dqn-loss)
+- [Per DQN Loss](https://lightning-bolts.readthedocs.io/en/stable/losses.html#per-dqn-loss)
 
-###### Vision
+###### GANs
 
-- [GAN](https://pytorch-lightning.readthedocs.io/en/latest/notebooks/lightning_examples/basic-gan.html)
+- [Basic GAN](https://lightning-bolts.readthedocs.io/en/stable/models/gans.html#basic-gan)
+- [DCGAN](https://lightning-bolts.readthedocs.io/en/stable/models/gans.html#dcgan)
 
 ###### Classic ML
 
-- [Logistic Regression](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/classic_ml.html#logistic-regression)
-- [Linear Regression](https://lightning-bolts.readthedocs.io/en/stable/deprecated/models/classic_ml.html#linear-regression)
+- [Logistic Regression](https://lightning-bolts.readthedocs.io/en/stable/models/classic_ml.html#logistic-regression)
+- [Linear Regression](https://lightning-bolts.readthedocs.io/en/stable/models/classic_ml.html#linear-regression)
 
 ______________________________________________________________________