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req: formatting (#17335)
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‎requirements/_integrations/accelerators.txt

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# validation HPU connectors
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lightning-habana>=0.1.0rc0
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lightning-habana >=0.1.0rc0

‎requirements/app/base.txt

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lightning-cloud>=0.5.33
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lightning-cloud >=0.5.33
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packaging
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typing-extensions>=4.0.0, <=4.4.0
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deepdiff>=5.7.0, <6.2.4
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starsessions>=1.2.1, <2.0 # strict
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fsspec>=2022.5.0, <=2022.7.1
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croniter>=1.3.0, <1.4.0 # strict; TODO: for now until we find something more robust.
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traitlets>=5.3.0, <5.9.0
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arrow>=1.2.0, <1.2.4
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lightning-utilities>=0.8.0, <0.9.0
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beautifulsoup4>=4.8.0, <4.11.2
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inquirer>=2.10.0, <=3.1.2
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psutil<5.9.5
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click<=8.1.3
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typing-extensions >=4.0.0, <=4.4.0
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deepdiff >=5.7.0, <6.2.4
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starsessions >=1.2.1, <2.0 # strict
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fsspec >=2022.5.0, <=2022.7.1
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croniter >=1.3.0, <1.4.0 # strict; TODO: for now until we find something more robust.
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traitlets >=5.3.0, <5.9.0
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arrow >=1.2.0, <1.2.4
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lightning-utilities >=0.8.0, <0.9.0
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beautifulsoup4 >=4.8.0, <4.11.2
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inquirer >=2.10.0, <=3.1.2
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psutil <5.9.5
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click <=8.1.3
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fastapi>=0.69.0,<0.89.0 # strict; TODO: broken serializations
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fastapi >=0.69.0, <0.89.0 # strict; TODO: broken serializations
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starlette # https://fastapi.tiangolo.com/deployment/versions/#about-starlette
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pydantic>=1.7.4,<2.0.0 # https://fastapi.tiangolo.com/deployment/versions/#about-pydantic
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pydantic >=1.7.4, <2.0.0 # https://fastapi.tiangolo.com/deployment/versions/#about-pydantic
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dateutils<=0.6.12
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Jinja2<=3.1.2
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PyYAML<=6.0
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requests<2.28.3
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dateutils <=0.6.12
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Jinja2 <=3.1.2
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PyYAML <=6.0
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requests <2.28.3
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rich >=12.3.0, <=13.0.1
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urllib3<=1.26.13
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uvicorn<=0.17.6
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websocket-client<1.5.2
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websockets<=10.4
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urllib3 <=1.26.13
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uvicorn <=0.17.6
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websocket-client <1.5.2
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websockets <=10.4

‎requirements/app/cloud.txt

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redis>=4.0.1, <=4.2.4
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docker>=5.0.0, <6.0.2
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s3fs>=2022.5.0, <2022.11.1
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redis >=4.0.1, <=4.2.4
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docker >=5.0.0, <6.0.2
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s3fs >=2022.5.0, <2022.11.1
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# setuptools==59.5.0

‎requirements/app/components.txt

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# deps required by components in the lightning app repository (src/lightning/app/components)
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lightning_api_access>=0.0.3 # serve
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aiohttp>=3.8.0, <=3.8.3 # auto_scaler
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lightning-fabric>=1.9.0 # multinode
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pytorch-lightning>=1.9.0 # multinode
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lightning_api_access >=0.0.3 # serve
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aiohttp >=3.8.0, <=3.8.3 # auto_scaler
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lightning-fabric >=1.9.0 # multinode
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pytorch-lightning >=1.9.0 # multinode

‎requirements/app/test.txt

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pytest==7.2.2
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pytest-timeout==2.1.0
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pytest-cov==4.0.0
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pytest-doctestplus>=0.9.0
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pytest-doctestplus >=0.9.0
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pytest-asyncio==0.20.3
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playwright==1.30.0
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httpx

‎requirements/app/ui.txt

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streamlit>=1.13.0, <1.16.1
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panel>=0.12.7, <=0.13.1
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streamlit >=1.13.0, <1.16.1
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panel >=0.12.7, <=0.13.1

‎requirements/docs.txt

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sphinx>=4.0, <5.0
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sphinx >=4.0, <5.0
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myst-parser==0.18.1
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nbsphinx>=0.8.5, <=0.8.9
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pandoc>=1.0, <=2.3
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docutils>=0.16, <0.20
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sphinxcontrib-fulltoc>=1.0, <=1.2.0
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nbsphinx >=0.8.5, <=0.8.9
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pandoc >=1.0, <=2.3
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docutils >=0.16, <0.20
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sphinxcontrib-fulltoc >=1.0, <=1.2.0
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sphinxcontrib-mockautodoc
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sphinx-autobuild
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sphinx-autodoc-typehints>=1.16
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sphinx-paramlinks>=0.5.1, <=0.5.4
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sphinx-togglebutton>=0.2, <=0.3.2
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sphinx-copybutton>=0.3, <=0.5.0
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sphinx-autodoc-typehints >=1.16
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sphinx-paramlinks >=0.5.1, <=0.5.4
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sphinx-togglebutton >=0.2, <=0.3.2
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sphinx-copybutton >=0.3, <=0.5.0
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sphinx-multiproject
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sphinx-toolbox==3.4.0
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sphinx-rtd-dark-mode
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jinja2>=3.0.0,<3.2.0
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jinja2 >=3.0.0,<3.2.0

‎requirements/fabric/base.txt

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# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
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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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numpy>=1.17.2, <1.24.2
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torch>=1.11.0, <=2.0.0
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numpy >=1.17.2, <1.24.2
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torch >=1.11.0, <=2.0.0
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fsspec[http]>2021.06.0, <2023.2.0
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packaging>=17.1, <=23.0
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typing-extensions>=4.0.0, <=4.4.0
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lightning-utilities>=0.8.0, <0.9.0
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packaging >=17.1, <=23.0
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typing-extensions >=4.0.0, <=4.4.0
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lightning-utilities >=0.8.0, <0.9.0

‎requirements/fabric/examples.txt

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# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
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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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torchvision>=0.10.0, <=0.14.1
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torchmetrics>=0.10.0, <0.12.0
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lightning-utilities>=0.8.0, <0.9.0
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torchvision >=0.10.0, <=0.14.1
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torchmetrics >=0.10.0, <0.12.0
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lightning-utilities >=0.8.0, <0.9.0

‎requirements/fabric/strategies.txt

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# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
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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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deepspeed>=0.6.0, <=0.8.0; platform_system != "Windows"
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deepspeed >=0.6.0, <=0.8.0; platform_system != "Windows"

‎requirements/fabric/test.txt

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pytest-cov==4.0.0
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pytest-rerunfailures==10.3
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click==8.1.3
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tensorboardX>=2.2, <=2.5.1 # min version is set by torch.onnx missing attribute
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tensorboardX >=2.2, <=2.5.1 # min version is set by torch.onnx missing attribute

‎requirements/pytorch/base.txt

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# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
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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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numpy>=1.17.2, <1.24.2
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torch>=1.11.0, <=2.0.0
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tqdm>=4.57.0, <4.65.0
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PyYAML>=5.4, <=6.0
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fsspec[http]>2021.06.0, <2023.2.0
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torchmetrics>=0.7.0, <0.12.0 # needed for using fixed compare_version
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packaging>=17.1, <=23.0
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typing-extensions>=4.0.0, <=4.4.0
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lightning-utilities>=0.8.0, <0.9.0
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numpy >=1.17.2, <1.24.2
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torch >=1.11.0, <=2.0.0
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tqdm >=4.57.0, <4.65.0
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PyYAML >=5.4, <=6.0
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fsspec[http] >2021.06.0, <2023.2.0
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torchmetrics >=0.7.0, <0.12.0 # needed for using fixed compare_version
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packaging >=17.1, <=23.0
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typing-extensions >=4.0.0, <=4.4.0
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lightning-utilities >=0.8.0, <0.9.0

‎requirements/pytorch/examples.txt

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# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
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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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torchvision>=0.11.1, <=0.14.1
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gym[classic_control]>=0.17.0, <0.26.3
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torchvision >=0.11.1, <=0.14.1
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gym[classic_control] >=0.17.0, <0.26.3
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ipython[all] <8.7.1
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torchmetrics>=0.10.0, <0.12.0
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lightning-utilities>=0.7.0, <0.9.0
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torchmetrics >=0.10.0, <0.12.0
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lightning-utilities >=0.7.0, <0.9.0

‎requirements/pytorch/extra.txt

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# extended list of package dependencies to reach full functionality
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matplotlib>3.1, <3.6.2
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omegaconf>=2.0.5, <2.4.0
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hydra-core>=1.0.5, <1.4.0
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jsonargparse[signatures]>=4.18.0, <4.19.0
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omegaconf >=2.0.5, <2.4.0
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hydra-core >=1.0.5, <1.4.0
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jsonargparse[signatures] >=4.18.0, <4.19.0
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rich >=12.3.0, <=13.0.1
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tensorboardX>=2.2, <=2.5.1 # min version is set by torch.onnx missing attribute
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tensorboardX >=2.2, <=2.5.1 # min version is set by torch.onnx missing attribute

‎requirements/pytorch/loggers.info

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# all supported loggers. this list is here as a reference, but they are not installed in CI
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neptune
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comet-ml
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mlflow>=1.0.0
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mlflow >=1.0.0
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wandb
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tensorboard>=2.9.1
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tensorboard >=2.9.1

‎requirements/pytorch/strategies.txt

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# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package
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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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deepspeed>=0.6.0, <0.8.0 # TODO: Include 0.8.x after https://github.com/microsoft/DeepSpeed/commit/b587c7e85470329ac25df7c7c2521ff9b2833db7 gets released
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deepspeed >=0.6.0, <0.8.0 # TODO: Include 0.8.x after https://github.com/microsoft/DeepSpeed/commit/b587c7e85470329ac25df7c7c2521ff9b2833db7 gets released

‎requirements/pytorch/test.txt

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pytest-rerunfailures==10.3
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# needed in tests
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cloudpickle>=1.3, <2.3.0
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cloudpickle >=1.3, <2.3.0
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scikit-learn>0.22.1, <1.2.1
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onnx<1.14.0
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onnxruntime<1.14.0
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fastapi<0.87.0 # for `ServableModuleValidator`
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uvicorn<0.19.1 # for `ServableModuleValidator`
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tensorboard>=2.9.1, <2.12.0 # for `TensorBoardLogger`
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protobuf<=3.20.1 # strict # an extra is updating protobuf, this pin prevents TensorBoard failure
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tensorboard >=2.9.1, <2.12.0 # for `TensorBoardLogger`
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protobuf <=3.20.1 # strict # an extra is updating protobuf, this pin prevents TensorBoard failure

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