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diff --git a/python-phiflow.spec b/python-phiflow.spec new file mode 100644 index 0000000..eba4701 --- /dev/null +++ b/python-phiflow.spec @@ -0,0 +1,114 @@ +%global _empty_manifest_terminate_build 0 +Name: python-phiflow +Version: 2.4.0 +Release: 1 +Summary: Differentiable PDE solving framework for machine learning +License: MIT +URL: https://github.com/tum-pbs/PhiFlow +Source0: https://mirrors.aliyun.com/pypi/web/packages/3f/66/54b9d31001cff546e9bcd80415c4e7ff30cdfad4dd5042e0764e9207ffad/phiflow-2.4.0.tar.gz +BuildArch: noarch + + +%description +# PhiFlow + +[**Homepage**](https://github.com/tum-pbs/PhiFlow) + [**Documentation**](https://tum-pbs.github.io/PhiFlow/) + [**API**](https://tum-pbs.github.io/PhiFlow/phi) + [**Demos**](https://github.com/tum-pbs/PhiFlow/tree/master/demos) + [<img src="https://www.tensorflow.org/images/colab_logo_32px.png" height=16> **Fluids Tutorial**](https://colab.research.google.com/github/tum-pbs/PhiFlow/blob/develop/docs/Fluids_Tutorial.ipynb#offline=true&sandboxMode=true) + [<img src="https://www.tensorflow.org/images/colab_logo_32px.png" height=16> **Playground**](https://colab.research.google.com/drive/1zBlQbmNguRt-Vt332YvdTqlV4DBcus2S#offline=true&sandboxMode=true) + +PhiFlow is an open-source simulation toolkit built for optimization and machine learning applications. +It is written mostly in Python and can be used with NumPy, TensorFlow, Jax or PyTorch. +The close integration with machine learning frameworks allows it to leverage their automatic differentiation functionality, +making it easy to build end-to-end differentiable functions involving both learning models and physics simulations. + +See the [installation Instructions](https://tum-pbs.github.io/PhiFlow/Installation_Instructions.html) on how to compile the optional custom CUDA operations. + +%package -n python3-phiflow +Summary: Differentiable PDE solving framework for machine learning +Provides: python-phiflow +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-phiflow +# PhiFlow + +[**Homepage**](https://github.com/tum-pbs/PhiFlow) + [**Documentation**](https://tum-pbs.github.io/PhiFlow/) + [**API**](https://tum-pbs.github.io/PhiFlow/phi) + [**Demos**](https://github.com/tum-pbs/PhiFlow/tree/master/demos) + [<img src="https://www.tensorflow.org/images/colab_logo_32px.png" height=16> **Fluids Tutorial**](https://colab.research.google.com/github/tum-pbs/PhiFlow/blob/develop/docs/Fluids_Tutorial.ipynb#offline=true&sandboxMode=true) + [<img src="https://www.tensorflow.org/images/colab_logo_32px.png" height=16> **Playground**](https://colab.research.google.com/drive/1zBlQbmNguRt-Vt332YvdTqlV4DBcus2S#offline=true&sandboxMode=true) + +PhiFlow is an open-source simulation toolkit built for optimization and machine learning applications. +It is written mostly in Python and can be used with NumPy, TensorFlow, Jax or PyTorch. +The close integration with machine learning frameworks allows it to leverage their automatic differentiation functionality, +making it easy to build end-to-end differentiable functions involving both learning models and physics simulations. + +See the [installation Instructions](https://tum-pbs.github.io/PhiFlow/Installation_Instructions.html) on how to compile the optional custom CUDA operations. + +%package help +Summary: Development documents and examples for phiflow +Provides: python3-phiflow-doc +%description help +# PhiFlow + +[**Homepage**](https://github.com/tum-pbs/PhiFlow) + [**Documentation**](https://tum-pbs.github.io/PhiFlow/) + [**API**](https://tum-pbs.github.io/PhiFlow/phi) + [**Demos**](https://github.com/tum-pbs/PhiFlow/tree/master/demos) + [<img src="https://www.tensorflow.org/images/colab_logo_32px.png" height=16> **Fluids Tutorial**](https://colab.research.google.com/github/tum-pbs/PhiFlow/blob/develop/docs/Fluids_Tutorial.ipynb#offline=true&sandboxMode=true) + [<img src="https://www.tensorflow.org/images/colab_logo_32px.png" height=16> **Playground**](https://colab.research.google.com/drive/1zBlQbmNguRt-Vt332YvdTqlV4DBcus2S#offline=true&sandboxMode=true) + +PhiFlow is an open-source simulation toolkit built for optimization and machine learning applications. +It is written mostly in Python and can be used with NumPy, TensorFlow, Jax or PyTorch. +The close integration with machine learning frameworks allows it to leverage their automatic differentiation functionality, +making it easy to build end-to-end differentiable functions involving both learning models and physics simulations. + +See the [installation Instructions](https://tum-pbs.github.io/PhiFlow/Installation_Instructions.html) on how to compile the optional custom CUDA operations. + +%prep +%autosetup -n phiflow-2.4.0 + +%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-phiflow -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 2.4.0-1 +- Package Spec generated |