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|
%global _empty_manifest_terminate_build 0
Name: python-rtxpy
Version: 0.0.3
Release: 1
Summary: Ray tracing using CUDA accessible from Python
License: MIT
URL: https://github.com/makepath/rtxpy
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/76/e5/18beafad39bacf07e88303502fca6affa9888701f7351898f55f01011c0b/rtxpy-0.0.3.tar.gz
Requires: python3-numpy
Requires: python3-pytest
%description
# RTXpy
Ray tracing using CUDA, accessible from Python.
## Hardware requirements
* Nvidia Maxwell GPU or newer
* Nvidia driver version:
* 456.71 or newer for Windows
* 455.28 or newer for Linux
## Installation
pip install rtxpy
## Installation from source
Requires CMake 3.10 or higher to build.
To install RTXpy from source use
pip install -ve .
`cupy` is an optional runtime dependency. If you know the version of the CUDA
toolkit you have installed, which can be obtained by running `nvcc --version`,
you can install the appropriate `cupy` wheel. For example, for CUDA toolkit
11.2 use
pip install cupy-cuda112
To run tests
pip install -ve .[tests]
pytest -v rtxpy/tests
%package -n python3-rtxpy
Summary: Ray tracing using CUDA accessible from Python
Provides: python-rtxpy
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-rtxpy
# RTXpy
Ray tracing using CUDA, accessible from Python.
## Hardware requirements
* Nvidia Maxwell GPU or newer
* Nvidia driver version:
* 456.71 or newer for Windows
* 455.28 or newer for Linux
## Installation
pip install rtxpy
## Installation from source
Requires CMake 3.10 or higher to build.
To install RTXpy from source use
pip install -ve .
`cupy` is an optional runtime dependency. If you know the version of the CUDA
toolkit you have installed, which can be obtained by running `nvcc --version`,
you can install the appropriate `cupy` wheel. For example, for CUDA toolkit
11.2 use
pip install cupy-cuda112
To run tests
pip install -ve .[tests]
pytest -v rtxpy/tests
%package help
Summary: Development documents and examples for rtxpy
Provides: python3-rtxpy-doc
%description help
# RTXpy
Ray tracing using CUDA, accessible from Python.
## Hardware requirements
* Nvidia Maxwell GPU or newer
* Nvidia driver version:
* 456.71 or newer for Windows
* 455.28 or newer for Linux
## Installation
pip install rtxpy
## Installation from source
Requires CMake 3.10 or higher to build.
To install RTXpy from source use
pip install -ve .
`cupy` is an optional runtime dependency. If you know the version of the CUDA
toolkit you have installed, which can be obtained by running `nvcc --version`,
you can install the appropriate `cupy` wheel. For example, for CUDA toolkit
11.2 use
pip install cupy-cuda112
To run tests
pip install -ve .[tests]
pytest -v rtxpy/tests
%prep
%autosetup -n rtxpy-0.0.3
%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-rtxpy -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.3-1
- Package Spec generated
|
