automatic import of python-tabnetopeneuler20.03

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+%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