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.github/CONTRIBUTING.md

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Welcome to the PyTorch Lightning community! We're building the most advanced research platform on the planet to implement the latest, best practices
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and integrations that the amazing PyTorch team and other research organization rolls out!
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If you are new to open source, check out [this blog to get started with your first Open Source contribution](https://devblog.pytorchlightning.ai/quick-contribution-guide-86d977171b3a).
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If you are new to open source, check out [this blog to get started with your first Open Source contribution](https://medium.com/pytorch-lightning/quick-contribution-guide-86d977171b3a).
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## Main Core Value: One less thing to remember
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docs/source-fabric/advanced/model_parallel/tp_fsdp.rst

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.. raw:: html
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<a target="_blank" href="https://lightning.ai/lightning-ai/studios/tensor-parallelism-supercharging-large-model-training-with-lightning-fabric">
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<a target="_blank" href="https://lightning.ai/lightning-ai/studios/pretrain-an-llm-with-pytorch-lightning">
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<img src="https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/app-2/studio-badge.svg" alt="Open In Studio" style="width: auto; max-width: none;"/>
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</a>
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docs/source-pytorch/advanced/model_parallel/tp.rst

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.. raw:: html
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<a target="_blank" href="https://lightning.ai/lightning-ai/studios/tensor-parallelism-supercharging-large-model-training-with-pytorch-lightning">
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<a target="_blank" href="https://lightning.ai/lightning-ai/studios/pretrain-an-llm-with-pytorch-lightning">
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<img src="https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/app-2/studio-badge.svg" alt="Open In Studio" style="width: auto; max-width: none;"/>
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</a>
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requirements/ci.txt

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setuptools <80.9.1
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wheel <0.46.0
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awscli >=1.30.0, <1.42.0
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awscli >=1.30.0, <1.43.0
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twine ==6.1.0
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importlib-metadata <9.0.0
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wget

requirements/docs.txt

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nbsphinx >=0.8.5, <=0.9.7
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nbconvert >7.14, <7.17
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pandoc >=1.0, <=2.4
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docutils >=0.16, <0.22
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docutils>=0.18.1,<=0.22
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sphinxcontrib-fulltoc >=1.0, <=1.2.0
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sphinxcontrib-mockautodoc
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sphinx-autobuild

requirements/fabric/base.txt

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# in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment
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torch >=2.1.0, <2.8.0
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fsspec[http] >=2022.5.0, <2025.6.0
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fsspec[http] >=2022.5.0, <2025.8.0
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packaging >=20.0, <=25.0
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typing-extensions >=4.5.0, <4.15.0
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lightning-utilities >=0.10.0, <0.15.0

requirements/fabric/test.txt

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coverage ==7.9.2
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coverage ==7.10.2
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numpy >=1.17.2, <1.27.0
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pytest ==8.4.1
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pytest-cov ==6.2.1

requirements/pytorch/base.txt

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torch >=2.1.0, <=2.8.0
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tqdm >=4.57.0, <4.68.0
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PyYAML >5.4, <6.1.0
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fsspec[http] >=2022.5.0, <2025.6.0
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fsspec[http] >=2022.5.0, <2025.8.0
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torchmetrics >0.7.0, <1.8.0
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packaging >=20.0, <=25.0
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typing-extensions >=4.5.0, <4.15.0

requirements/pytorch/test.txt

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coverage ==7.9.2
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coverage ==7.10.2
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pytest ==8.4.1
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pytest-cov ==6.2.1
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pytest-timeout ==2.4.0
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fastapi # for `ServableModuleValidator` # not setting version as re-defined in App
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uvicorn # for `ServableModuleValidator` # not setting version as re-defined in App
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tensorboard >=2.9.1, <2.20.0 # for `TensorBoardLogger`
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tensorboard >=2.9.1, <2.21.0 # for `TensorBoardLogger`

requirements/typing.txt

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mypy==1.16.1
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mypy==1.17.1
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torch==2.7.1
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