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| author | CoprDistGit <infra@openeuler.org> | 2023-06-08 22:20:27 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-06-08 22:20:27 +0000 |
| commit | 7fa842305a0575b310d831295c9ede7b34c444c0 (patch) | |
| tree | ca1dabe276f084c40c4b65cb0c5c338ee58b20de | |
| parent | 5ed94d0db5832d9324b8a7e66c3d425a3b8191c3 (diff) | |
automatic import of python-cnn2snnopeneuler20.03
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-cnn2snn.spec | 87 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 89 insertions, 0 deletions
@@ -0,0 +1 @@ +/cnn2snn-2.3.6.tar.gz diff --git a/python-cnn2snn.spec b/python-cnn2snn.spec new file mode 100644 index 0000000..1c472be --- /dev/null +++ b/python-cnn2snn.spec @@ -0,0 +1,87 @@ +%global _empty_manifest_terminate_build 0 +Name: python-cnn2snn +Version: 2.3.6 +Release: 1 +Summary: Keras to Akida CNN Converter +License: Apache 2.0 +URL: https://doc.brainchipinc.com +Source0: https://mirrors.aliyun.com/pypi/web/packages/bd/cf/c8afccbeca503df447e5361d55d0def9d92a79ece481088dfed7839a9ccd/cnn2snn-2.3.6.tar.gz +BuildArch: noarch + + +%description +# CNN2SNN toolkit + +The Brainchip CNN2SNN toolkit provides a means to convert Convolutional Neural +Networks (CNN) that were trained using Deep Learning methods to a low-latency +and low-power Spiking Neural Network (SNN) for use with the Akida Runtime. + + +%package -n python3-cnn2snn +Summary: Keras to Akida CNN Converter +Provides: python-cnn2snn +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-cnn2snn +# CNN2SNN toolkit + +The Brainchip CNN2SNN toolkit provides a means to convert Convolutional Neural +Networks (CNN) that were trained using Deep Learning methods to a low-latency +and low-power Spiking Neural Network (SNN) for use with the Akida Runtime. + + +%package help +Summary: Development documents and examples for cnn2snn +Provides: python3-cnn2snn-doc +%description help +# CNN2SNN toolkit + +The Brainchip CNN2SNN toolkit provides a means to convert Convolutional Neural +Networks (CNN) that were trained using Deep Learning methods to a low-latency +and low-power Spiking Neural Network (SNN) for use with the Akida Runtime. + + +%prep +%autosetup -n cnn2snn-2.3.6 + +%build +%py3_build + +%install +%py3_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} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +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}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-cnn2snn -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.6-1 +- Package Spec generated @@ -0,0 +1 @@ +edd8aaead3fdb92a4f2135988aab3399 cnn2snn-2.3.6.tar.gz |