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%global debug_package %{nil}
Name: onnxruntime
Version: 1.17.1
Release: 1%{?dist}
Summary: ONNXRuntime with source build for CPU
License: MIT
URL: https://onnxruntime.ai
Source0: https://github.com/microsoft/%{name}/archive/refs/tags/v%{version}.tar.gz
%description
ONNX Runtime is an open-source high-performance inference engine for running computational graphs on various platforms. ONNX stands for "Open Neural Network Exchange," which is an open standard for representing neural network models, making it easier to share and interchange models between different deep learning frameworks. ONNX Runtime supports running models on CPUs, GPUs, and other devices, providing cross-platform and cross-framework performance optimizations.
%package -n python3-onnxruntime
Summary: Summary: ONNX Runtime offers a range of APIs that simplify the process of loading, inferring, and optimizing models
Provides: python-onnxruntime
BuildRequires: tar, ca-certificates, cmake, curl, python3-devel, python3-setuptools, python3-wheel, python3-pip, python3-numpy, python3-flatbuffers, python3-packaging, python3-protobuf, python3-mpmath, python3-sympy
Requires: ca-certificates, python3-setuptools, python3-wheel, python3-pip, python3-numpy, python3-flatbuffers, python3-packaging, python3-protobuf, python3-mpmath, python3-sympy
# use the auto build requires
%?python_enable_dependency_generator
%description -n python3-onnxruntime
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNXRuntime with source build for CPU, licensed under the MIT License.
%package help
Summary: docs for the onnxruntime
Provides: python3-onnxruntime-doc
%description help
description for the doc of the python3-onnxruntime's usage
%prep
%autosetup -p1 -n onnxruntime-%{version}
%build
%pyproject_build
%install
%pyproject_install
%files -n python3-%{name}
%doc *.md
%license LICENSE
%{python3_sitelib}/%{name}/
%changelog
* Tue Mar 31 2024 Your Name <you@example.com> - 1.0.0-1
- First build of ONNXRuntime for CPU
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