automatic import of tensordictopeneuler23.09

3 files changed, 80 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
+++ b/.gitignore
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+/tensordict-0.2.1.tar.gz
diff --git a/sources b/sources
new file mode 100644
index 0000000..4bd9c4f
--- /dev/null
+++ b/sources
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+e1124f5e7c496a4c5aa845e5222a304b  tensordict-0.2.1.tar.gz
diff --git a/tensordict.spec b/tensordict.spec
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+++ b/tensordict.spec
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+%global _empty_manifest_terminate_build 0
+
+Name:		tensordict
+Version:	0.2.1
+Release:	1
+Summary:	TensorDict is a pytorch dedicated tensor container.
+License:	MIT
+URL:		https://pytorch.org/tensordict
+Source0:	https://github.com/pytorch/tensordict/archive/refs/tags/v%{version}.tar.gz#/%{name}-%{version}.tar.gz
+
+Requires:	python3-numpy
+Requires:	python3-pytorch
+Requires:	python3-cloudpickle
+
+%description
+TensorDict is a dictionary-like class that inherits properties from tensors, such as indexing, 
+shape operations, casting to device or point-to-point communication in distributed settings.
+The main purpose of TensorDict is to make code-bases more readable and modular by abstracting away tailored operations.
+
+%package -n python3-tensordict
+Summary:	TensorDict is a pytorch dedicated tensor container.
+Provides:	python-tensordict
+
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-setuptools_scm
+BuildRequires:	python3-pip
+BuildRequires:	python3-wheel
+BuildRequires:	python3-hatchling
+BuildRequires:	python3-pytorch
+
+%description -n python3-tensordict
+TensorDict is a dictionary-like class that inherits properties from tensors, such as indexing, 
+shape operations, casting to device or point-to-point communication in distributed settings.
+The main purpose of TensorDict is to make code-bases more readable and modular by abstracting away tailored operations.
+
+%package help
+Summary:	Development documents and examples for tensordict
+Provides:	python3-tensordict-doc
+
+%description help
+TensorDict is a dictionary-like class that inherits properties from tensors, such as indexing, 
+shape operations, casting to device or point-to-point communication in distributed settings.
+The main purpose of TensorDict is to make code-bases more readable and modular by abstracting away tailored operations.
+
+
+%prep
+%autosetup -p1 -n %{name}-%{version}
+
+%build
+%pyproject_build
+
+%install
+%pyproject_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}
+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}/doclist.lst .
+
+%files -n python3-tensordict
+%doc *.md
+%license LICENSE
+%{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 0.2.1-1
+- Package init