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Diffstat (limited to 'onnxruntime.spec')
| -rw-r--r-- | onnxruntime.spec | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/onnxruntime.spec b/onnxruntime.spec new file mode 100644 index 0000000..4fa75de --- /dev/null +++ b/onnxruntime.spec @@ -0,0 +1,71 @@ +%global _empty_manifest_terminate_build 0 +%define debug_package %{nil} +Name: onnxruntime +Version: 1.17.0 +Release: 2 +Summary: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator +License: BSD-3 +URL: https://github.com/pytorch/onnxruntime +Source0: https://atomgit.com/havefun/onnxruntime/raw/master/onnxruntime-1.17.0.tar.gz + +BuildRequires: g++ +Requires: python3-future +Requires: python3-numpy + +%description +ONNX Runtime is a cross-platform inference and training machine-learning accelerator. +ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. + +%package -n python3-onnxruntime +Summary: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator +Provides: python-onnxruntime +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-setuptools_scm +BuildRequires: python3-pbr +BuildRequires: python3-pip +BuildRequires: python3-wheel +BuildRequires: python3-hatchling + +BuildRequires: python3-astunparse +BuildRequires: python3-numpy +BuildRequires: python3-pyyaml +BuildRequires: cmake +BuildRequires: python3-typing-extensions +BuildRequires: python3-requests +BuildRequires: python3-pytorch + +AutoReqProv: no + +%description -n python3-onnxruntime +ONNX Runtime is a cross-platform inference and training machine-learning accelerator. +ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. + +%package help +Summary: Development documents and examples for torch +Provides: python3-onnxruntime-doc +%description help +ONNX Runtime is a cross-platform inference and training machine-learning accelerator. +ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. + +%prep +%autosetup -p1 -n %{name}-%{version} + +%build +%py3_build +#python3 setup.py build + +%install +%define _unpackaged_files_terminate_build 0 +%py3_install +#python3 setup.py install + +%files -n python3-onnxruntime +%doc *.md +%license LICENSE +%{python3_sitelib}/* + + +%changelog +* Tue April 15 2024 Hongyu Li<543306408@qq.com> +- Package init |