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@@ -0,0 +1 @@ +/pyro-ppl-1.8.4.tar.gz diff --git a/python-pyro-ppl.spec b/python-pyro-ppl.spec new file mode 100644 index 0000000..238aec2 --- /dev/null +++ b/python-pyro-ppl.spec @@ -0,0 +1,413 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pyro-ppl +Version: 1.8.4 +Release: 1 +Summary: A Python library for probabilistic modeling and inference +License: Apache 2.0 +URL: http://pyro.ai +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c0/af/f653e545519597d6c833136e88aae5d8bb81969cf83c6f3d2c34f0269456/pyro-ppl-1.8.4.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-opt-einsum +Requires: python3-pyro-api +Requires: python3-torch +Requires: python3-tqdm +Requires: python3-jupyter +Requires: python3-graphviz +Requires: python3-matplotlib +Requires: python3-torchvision +Requires: python3-visdom +Requires: python3-pandas +Requires: python3-pillow +Requires: python3-scikit-learn +Requires: python3-seaborn +Requires: python3-wget +Requires: python3-lap +Requires: python3-black +Requires: python3-flake8 +Requires: python3-isort +Requires: python3-mypy +Requires: python3-nbformat +Requires: python3-nbsphinx +Requires: python3-nbstripout +Requires: python3-nbval +Requires: python3-ninja +Requires: python3-pypandoc +Requires: python3-pytest +Requires: python3-pytest-xdist +Requires: python3-scipy +Requires: python3-sphinx +Requires: python3-sphinx-rtd-theme +Requires: python3-yapf +Requires: python3-jupyter +Requires: python3-graphviz +Requires: python3-matplotlib +Requires: python3-torchvision +Requires: python3-visdom +Requires: python3-pandas +Requires: python3-pillow +Requires: python3-scikit-learn +Requires: python3-seaborn +Requires: python3-wget +Requires: python3-lap +Requires: python3-funsor[torch] +Requires: python3-horovod[pytorch] +Requires: python3-prettytable +Requires: python3-pytest-benchmark +Requires: python3-snakeviz +Requires: python3-jupyter +Requires: python3-graphviz +Requires: python3-matplotlib +Requires: python3-torchvision +Requires: python3-visdom +Requires: python3-pandas +Requires: python3-pillow +Requires: python3-scikit-learn +Requires: python3-seaborn +Requires: python3-wget +Requires: python3-lap +Requires: python3-black +Requires: python3-flake8 +Requires: python3-nbval +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-scipy + +%description +[Getting Started](http://pyro.ai/examples) | +[Documentation](http://docs.pyro.ai/) | +[Community](http://forum.pyro.ai/) | +[Contributing](https://github.com/pyro-ppl/pyro/blob/master/CONTRIBUTING.md) + +Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notably, it was designed with these principles in mind: + +- **Universal**: Pyro is a universal PPL - it can represent any computable probability distribution. +- **Scalable**: Pyro scales to large data sets with little overhead compared to hand-written code. +- **Minimal**: Pyro is agile and maintainable. It is implemented with a small core of powerful, composable abstractions. +- **Flexible**: Pyro aims for automation when you want it, control when you need it. This is accomplished through high-level abstractions to express generative and inference models, while allowing experts easy-access to customize inference. + +Pyro was originally developed at Uber AI and is now actively maintained by community contributors, including a dedicated team at the [Broad Institute](https://www.broadinstitute.org/). +In 2019, Pyro [became](https://www.linuxfoundation.org/press-release/2019/02/pyro-probabilistic-programming-language-becomes-newest-lf-deep-learning-project/) a project of the Linux Foundation, a neutral space for collaboration on open source software, open standards, open data, and open hardware. + +For more information about the high level motivation for Pyro, check out our [launch blog post](http://eng.uber.com/pyro). +For additional blog posts, check out work on [experimental design](https://eng.uber.com/oed-pyro-release/) and +[time-to-event modeling](https://eng.uber.com/modeling-censored-time-to-event-data-using-pyro/) in Pyro. + +## Installing + +### Installing a stable Pyro release + +**Install using pip:** +```sh +pip install pyro-ppl +``` + +**Install from source:** +```sh +git clone git@github.com:pyro-ppl/pyro.git +cd pyro +git checkout master # master is pinned to the latest release +pip install . +``` + +**Install with extra packages:** + +To install the dependencies required to run the probabilistic models included in the `examples`/`tutorials` directories, please use the following command: +```sh +pip install pyro-ppl[extras] +``` +Make sure that the models come from the same release version of the [Pyro source code](https://github.com/pyro-ppl/pyro/releases) as you have installed. + +### Installing Pyro dev branch + +For recent features you can install Pyro from source. + +**Install Pyro using pip:** + +```sh +pip install git+https://github.com/pyro-ppl/pyro.git +``` +or, with the `extras` dependency to run the probabilistic models included in the `examples`/`tutorials` directories: +```sh +pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras] +``` + +**Install Pyro from source:** + +```sh +git clone https://github.com/pyro-ppl/pyro +cd pyro +pip install . # pip install .[extras] for running models in examples/tutorials +``` + +## Running Pyro from a Docker Container + +Refer to the instructions [here](docker/README.md). + +## Citation +If you use Pyro, please consider citing: +``` +@article{bingham2019pyro, + author = {Eli Bingham and + Jonathan P. Chen and + Martin Jankowiak and + Fritz Obermeyer and + Neeraj Pradhan and + Theofanis Karaletsos and + Rohit Singh and + Paul A. Szerlip and + Paul Horsfall and + Noah D. Goodman}, + title = {Pyro: Deep Universal Probabilistic Programming}, + journal = {J. Mach. Learn. Res.}, + volume = {20}, + pages = {28:1--28:6}, + year = {2019}, + url = {http://jmlr.org/papers/v20/18-403.html} +} +``` + + +%package -n python3-pyro-ppl +Summary: A Python library for probabilistic modeling and inference +Provides: python-pyro-ppl +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pyro-ppl +[Getting Started](http://pyro.ai/examples) | +[Documentation](http://docs.pyro.ai/) | +[Community](http://forum.pyro.ai/) | +[Contributing](https://github.com/pyro-ppl/pyro/blob/master/CONTRIBUTING.md) + +Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notably, it was designed with these principles in mind: + +- **Universal**: Pyro is a universal PPL - it can represent any computable probability distribution. +- **Scalable**: Pyro scales to large data sets with little overhead compared to hand-written code. +- **Minimal**: Pyro is agile and maintainable. It is implemented with a small core of powerful, composable abstractions. +- **Flexible**: Pyro aims for automation when you want it, control when you need it. This is accomplished through high-level abstractions to express generative and inference models, while allowing experts easy-access to customize inference. + +Pyro was originally developed at Uber AI and is now actively maintained by community contributors, including a dedicated team at the [Broad Institute](https://www.broadinstitute.org/). +In 2019, Pyro [became](https://www.linuxfoundation.org/press-release/2019/02/pyro-probabilistic-programming-language-becomes-newest-lf-deep-learning-project/) a project of the Linux Foundation, a neutral space for collaboration on open source software, open standards, open data, and open hardware. + +For more information about the high level motivation for Pyro, check out our [launch blog post](http://eng.uber.com/pyro). +For additional blog posts, check out work on [experimental design](https://eng.uber.com/oed-pyro-release/) and +[time-to-event modeling](https://eng.uber.com/modeling-censored-time-to-event-data-using-pyro/) in Pyro. + +## Installing + +### Installing a stable Pyro release + +**Install using pip:** +```sh +pip install pyro-ppl +``` + +**Install from source:** +```sh +git clone git@github.com:pyro-ppl/pyro.git +cd pyro +git checkout master # master is pinned to the latest release +pip install . +``` + +**Install with extra packages:** + +To install the dependencies required to run the probabilistic models included in the `examples`/`tutorials` directories, please use the following command: +```sh +pip install pyro-ppl[extras] +``` +Make sure that the models come from the same release version of the [Pyro source code](https://github.com/pyro-ppl/pyro/releases) as you have installed. + +### Installing Pyro dev branch + +For recent features you can install Pyro from source. + +**Install Pyro using pip:** + +```sh +pip install git+https://github.com/pyro-ppl/pyro.git +``` +or, with the `extras` dependency to run the probabilistic models included in the `examples`/`tutorials` directories: +```sh +pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras] +``` + +**Install Pyro from source:** + +```sh +git clone https://github.com/pyro-ppl/pyro +cd pyro +pip install . # pip install .[extras] for running models in examples/tutorials +``` + +## Running Pyro from a Docker Container + +Refer to the instructions [here](docker/README.md). + +## Citation +If you use Pyro, please consider citing: +``` +@article{bingham2019pyro, + author = {Eli Bingham and + Jonathan P. Chen and + Martin Jankowiak and + Fritz Obermeyer and + Neeraj Pradhan and + Theofanis Karaletsos and + Rohit Singh and + Paul A. Szerlip and + Paul Horsfall and + Noah D. Goodman}, + title = {Pyro: Deep Universal Probabilistic Programming}, + journal = {J. Mach. Learn. Res.}, + volume = {20}, + pages = {28:1--28:6}, + year = {2019}, + url = {http://jmlr.org/papers/v20/18-403.html} +} +``` + + +%package help +Summary: Development documents and examples for pyro-ppl +Provides: python3-pyro-ppl-doc +%description help +[Getting Started](http://pyro.ai/examples) | +[Documentation](http://docs.pyro.ai/) | +[Community](http://forum.pyro.ai/) | +[Contributing](https://github.com/pyro-ppl/pyro/blob/master/CONTRIBUTING.md) + +Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notably, it was designed with these principles in mind: + +- **Universal**: Pyro is a universal PPL - it can represent any computable probability distribution. +- **Scalable**: Pyro scales to large data sets with little overhead compared to hand-written code. +- **Minimal**: Pyro is agile and maintainable. It is implemented with a small core of powerful, composable abstractions. +- **Flexible**: Pyro aims for automation when you want it, control when you need it. This is accomplished through high-level abstractions to express generative and inference models, while allowing experts easy-access to customize inference. + +Pyro was originally developed at Uber AI and is now actively maintained by community contributors, including a dedicated team at the [Broad Institute](https://www.broadinstitute.org/). +In 2019, Pyro [became](https://www.linuxfoundation.org/press-release/2019/02/pyro-probabilistic-programming-language-becomes-newest-lf-deep-learning-project/) a project of the Linux Foundation, a neutral space for collaboration on open source software, open standards, open data, and open hardware. + +For more information about the high level motivation for Pyro, check out our [launch blog post](http://eng.uber.com/pyro). +For additional blog posts, check out work on [experimental design](https://eng.uber.com/oed-pyro-release/) and +[time-to-event modeling](https://eng.uber.com/modeling-censored-time-to-event-data-using-pyro/) in Pyro. + +## Installing + +### Installing a stable Pyro release + +**Install using pip:** +```sh +pip install pyro-ppl +``` + +**Install from source:** +```sh +git clone git@github.com:pyro-ppl/pyro.git +cd pyro +git checkout master # master is pinned to the latest release +pip install . +``` + +**Install with extra packages:** + +To install the dependencies required to run the probabilistic models included in the `examples`/`tutorials` directories, please use the following command: +```sh +pip install pyro-ppl[extras] +``` +Make sure that the models come from the same release version of the [Pyro source code](https://github.com/pyro-ppl/pyro/releases) as you have installed. + +### Installing Pyro dev branch + +For recent features you can install Pyro from source. + +**Install Pyro using pip:** + +```sh +pip install git+https://github.com/pyro-ppl/pyro.git +``` +or, with the `extras` dependency to run the probabilistic models included in the `examples`/`tutorials` directories: +```sh +pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras] +``` + +**Install Pyro from source:** + +```sh +git clone https://github.com/pyro-ppl/pyro +cd pyro +pip install . # pip install .[extras] for running models in examples/tutorials +``` + +## Running Pyro from a Docker Container + +Refer to the instructions [here](docker/README.md). + +## Citation +If you use Pyro, please consider citing: +``` +@article{bingham2019pyro, + author = {Eli Bingham and + Jonathan P. Chen and + Martin Jankowiak and + Fritz Obermeyer and + Neeraj Pradhan and + Theofanis Karaletsos and + Rohit Singh and + Paul A. Szerlip and + Paul Horsfall and + Noah D. Goodman}, + title = {Pyro: Deep Universal Probabilistic Programming}, + journal = {J. Mach. Learn. Res.}, + volume = {20}, + pages = {28:1--28:6}, + year = {2019}, + url = {http://jmlr.org/papers/v20/18-403.html} +} +``` + + +%prep +%autosetup -n pyro-ppl-1.8.4 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-pyro-ppl -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.8.4-1 +- Package Spec generated @@ -0,0 +1 @@ +c58d9b22e44f4d0d0e1a925fd7a24cdc pyro-ppl-1.8.4.tar.gz |