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+%global _empty_manifest_terminate_build 0
+%define debug_package %{nil}
+Name:           captum
+Version:        0.7.0
+Release:        2
+Summary:        Tensors and Dynamic neural networks in Python with strong GPU acceleration
+License:        BSD-3
+URL:            https://github.com/pytorch/captum
+Source0:        https://atomgit.com/havefun/captum/raw/master/captum-0.7.0.tar.gz
+
+BuildRequires:  g++
+Requires:       python3-future
+Requires:       python3-numpy
+
+%description
+PyTorch is a Python package that provides two high-level features:
+- Tensor computation (like NumPy) with strong GPU acceleration
+- Deep neural networks built on a tape-based autograd system
+You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
+
+%package -n python3-captum
+Summary:        Tensors and Dynamic neural networks in Python with strong GPU acceleration
+Provides:       python-captum
+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-captum
+PyTorch is a Python package that provides two high-level features:
+- Tensor computation (like NumPy) with strong GPU acceleration
+- Deep neural networks built on a tape-based autograd system
+You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
+
+%package help
+Summary:        Development documents and examples for torch
+Provides:       python3-captum-doc
+%description help
+PyTorch is a Python package that provides two high-level features:
+- Tensor computation (like NumPy) with strong GPU acceleration
+- Deep neural networks built on a tape-based autograd system
+You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
+
+%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-captum
+%doc *.md
+%license LICENSE
+%{python3_sitelib}/*
+
+
+%changelog
+* Wed Jan 31 2024 Hongyu Li<543306408@qq.com>
+- Package init