automatic import of ludwigopeneuler23.09

3 files changed, 79 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..710a25a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/ludwig-0.9.tar.gz
diff --git a/ludwig.spec b/ludwig.spec
new file mode 100644
index 0000000..087380d
--- /dev/null
+++ b/ludwig.spec
@@ -0,0 +1,77 @@
+%global _empty_manifest_terminate_build 0
+%define debug_package %{nil}
+Name:           ludwig
+Version:        0.9
+Release:        2
+Summary:        Tensors and Dynamic neural networks in Python with strong GPU acceleration
+License:        BSD-3
+URL:            https://github.com/ludwig-ai/ludwig
+Source0:        https://atomgit.com/havefun/ludwig/raw/master/ludwig-0.9.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-ludwig
+Summary:        Tensors and Dynamic neural networks in Python with strong GPU acceleration
+Provides:       python-ludwig
+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-ludwig
+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-ludwig-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-ludwig
+%doc *.md
+%license LICENSE
+%{python3_sitelib}/*
+
+
+%changelog
+* Wed Jan 31 2024 Hongyu Li<543306408@qq.com>
+- Package init
diff --git a/sources b/sources
new file mode 100644
index 0000000..289549f
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+94c721b30ba36745a7265ae31c3e8e31  ludwig-0.9.tar.gz