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@@ -0,0 +1 @@ +/tabnet-0.1.6.tar.gz diff --git a/python-tabnet.spec b/python-tabnet.spec new file mode 100644 index 0000000..2088bcd --- /dev/null +++ b/python-tabnet.spec @@ -0,0 +1,122 @@ +%global _empty_manifest_terminate_build 0 +Name: python-tabnet +Version: 0.1.6 +Release: 1 +Summary: Tensorflow 2.0 implementation of TabNet of any configuration. +License: MIT +URL: https://github.com/titu1994/tf-TabNet +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/85/84/470e95d5abe5eb5ece8cd89b89e5ff678e1b9e6e23a00045f8dd315fe6ba/tabnet-0.1.6.tar.gz +BuildArch: noarch + +Requires: python3-tensorflow +Requires: python3-tensorflow-gpu + +%description +After the model has been forced into Eager Execution mode, the masks can be visualized in Tensorboard as follows - +```python +writer = tf.summary.create_file_writer("logs/") +with writer.as_default(): + for i, mask in enumerate(model.tabnet.feature_selection_masks): + print("Saving mask {} of shape {}".format(i + 1, mask.shape)) + tf.summary.image('mask_at_iter_{}'.format(i + 1), step=0, data=mask, max_outputs=1) + writer.flush() + agg_mask = model.tabnet.aggregate_feature_selection_mask + print("Saving aggregate mask of shape", agg_mask.shape) + tf.summary.image("Aggregate Mask", step=0, data=agg_mask, max_outputs=1) + writer.flush() +writer.close() +``` +# Requirements +- Tensorflow 2.0+ (1.14+ with V2 compat enabled may be sufficient for 1.x) +- Tensorflow-datasets (Only required for evaluating `train_iris.py`) + +%package -n python3-tabnet +Summary: Tensorflow 2.0 implementation of TabNet of any configuration. +Provides: python-tabnet +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-tabnet +After the model has been forced into Eager Execution mode, the masks can be visualized in Tensorboard as follows - +```python +writer = tf.summary.create_file_writer("logs/") +with writer.as_default(): + for i, mask in enumerate(model.tabnet.feature_selection_masks): + print("Saving mask {} of shape {}".format(i + 1, mask.shape)) + tf.summary.image('mask_at_iter_{}'.format(i + 1), step=0, data=mask, max_outputs=1) + writer.flush() + agg_mask = model.tabnet.aggregate_feature_selection_mask + print("Saving aggregate mask of shape", agg_mask.shape) + tf.summary.image("Aggregate Mask", step=0, data=agg_mask, max_outputs=1) + writer.flush() +writer.close() +``` +# Requirements +- Tensorflow 2.0+ (1.14+ with V2 compat enabled may be sufficient for 1.x) +- Tensorflow-datasets (Only required for evaluating `train_iris.py`) + +%package help +Summary: Development documents and examples for tabnet +Provides: python3-tabnet-doc +%description help +After the model has been forced into Eager Execution mode, the masks can be visualized in Tensorboard as follows - +```python +writer = tf.summary.create_file_writer("logs/") +with writer.as_default(): + for i, mask in enumerate(model.tabnet.feature_selection_masks): + print("Saving mask {} of shape {}".format(i + 1, mask.shape)) + tf.summary.image('mask_at_iter_{}'.format(i + 1), step=0, data=mask, max_outputs=1) + writer.flush() + agg_mask = model.tabnet.aggregate_feature_selection_mask + print("Saving aggregate mask of shape", agg_mask.shape) + tf.summary.image("Aggregate Mask", step=0, data=agg_mask, max_outputs=1) + writer.flush() +writer.close() +``` +# Requirements +- Tensorflow 2.0+ (1.14+ with V2 compat enabled may be sufficient for 1.x) +- Tensorflow-datasets (Only required for evaluating `train_iris.py`) + +%prep +%autosetup -n tabnet-0.1.6 + +%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-tabnet -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.6-1 +- Package Spec generated @@ -0,0 +1 @@ +95cf78db4e7ab76a413a54f3280dbd9b tabnet-0.1.6.tar.gz |