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+%global _empty_manifest_terminate_build 0
+Name:		python-neptune-tensorflow-keras
+Version:	2.1.1
+Release:	1
+Summary:	Neptune.ai tensorflow-keras integration library
+License:	Apache-2.0
+URL:		https://neptune.ai/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/77/03/eef0f99d51843695e6821d588ea12fcfa0597ab7e0a10f583bcc93523c6f/neptune_tensorflow_keras-2.1.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-importlib-metadata
+Requires:	python3-neptune
+Requires:	python3-pre-commit
+Requires:	python3-pydot
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-tensorflow
+
+%description
+# Neptune + Keras integration
+
+Experiment tracking, model registry, data versioning, and live model monitoring for Keras trained models.
+
+## What will you get with this integration?
+
+* Log, display, organize, and compare ML experiments in a single place
+* Version, store, manage, and query trained models, and model building metadata
+* Record and monitor model training, evaluation, or production runs live
+* Collaborate with a team
+
+## What will be logged to Neptune?
+
+* hyperparameters for every run,
+* learning curves for losses and metrics during training,
+* hardware consumption and stdout/stderr output during training,
+* TensorFlow tensors as images to see model predictions live,
+* training code and Git commit information,
+* model weights,
+* [other metadata](https://docs.neptune.ai/logging/what_you_can_log)
+
+![image](https://user-images.githubusercontent.com/97611089/160638338-8a276866-6ce8-4d0a-93f5-bd564d00afdf.png)
+*Example charts in the Neptune UI with logged accuracy and loss*
+
+## Resources
+
+* [Documentation](https://docs.neptune.ai/integrations/keras)
+* [Code example on GitHub](https://github.com/neptune-ai/examples/blob/main/integrations-and-supported-tools/tensorflow-keras/scripts)
+* [Runs logged in the Neptune app](https://app.neptune.ai/o/common/org/tf-keras-integration/e/TFK-18/all)
+* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/master/integrations-and-supported-tools/tensorflow-keras/notebooks/Neptune_TensorFlow_Keras.ipynb)
+
+## Example
+
+On the command line:
+
+```
+pip install neptune-tensorflow-keras
+```
+
+In Python:
+
+```python
+import neptune
+from neptune.integrations.tensorflow_keras import NeptuneCallback
+from neptune import ANONYMOUS_API_TOKEN
+
+# Start a run
+run = neptune.init_run(
+    project="common/tf-keras-integration",
+    api_token=ANONYMOUS_API_TOKEN,
+)
+
+# Create a NeptuneCallback instance
+neptune_cbk = NeptuneCallback(run=run, base_namespace="metrics")
+
+# Pass the callback to model.fit()
+model.fit(
+    x_train,
+    y_train,
+    epochs=5,
+    batch_size=64,
+    callbacks=[neptune_cbk],
+)
+
+# Stop the run
+run.stop()
+```
+
+## Support
+
+If you got stuck or simply want to talk to us, here are your options:
+
+* Check our [FAQ page](https://docs.neptune.ai/getting_help)
+* You can submit bug reports, feature requests, or contributions directly to the repository.
+* Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP),
+* You can just shoot us an email at support@neptune.ai
+
+
+
+%package -n python3-neptune-tensorflow-keras
+Summary:	Neptune.ai tensorflow-keras integration library
+Provides:	python-neptune-tensorflow-keras
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-neptune-tensorflow-keras
+# Neptune + Keras integration
+
+Experiment tracking, model registry, data versioning, and live model monitoring for Keras trained models.
+
+## What will you get with this integration?
+
+* Log, display, organize, and compare ML experiments in a single place
+* Version, store, manage, and query trained models, and model building metadata
+* Record and monitor model training, evaluation, or production runs live
+* Collaborate with a team
+
+## What will be logged to Neptune?
+
+* hyperparameters for every run,
+* learning curves for losses and metrics during training,
+* hardware consumption and stdout/stderr output during training,
+* TensorFlow tensors as images to see model predictions live,
+* training code and Git commit information,
+* model weights,
+* [other metadata](https://docs.neptune.ai/logging/what_you_can_log)
+
+![image](https://user-images.githubusercontent.com/97611089/160638338-8a276866-6ce8-4d0a-93f5-bd564d00afdf.png)
+*Example charts in the Neptune UI with logged accuracy and loss*
+
+## Resources
+
+* [Documentation](https://docs.neptune.ai/integrations/keras)
+* [Code example on GitHub](https://github.com/neptune-ai/examples/blob/main/integrations-and-supported-tools/tensorflow-keras/scripts)
+* [Runs logged in the Neptune app](https://app.neptune.ai/o/common/org/tf-keras-integration/e/TFK-18/all)
+* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/master/integrations-and-supported-tools/tensorflow-keras/notebooks/Neptune_TensorFlow_Keras.ipynb)
+
+## Example
+
+On the command line:
+
+```
+pip install neptune-tensorflow-keras
+```
+
+In Python:
+
+```python
+import neptune
+from neptune.integrations.tensorflow_keras import NeptuneCallback
+from neptune import ANONYMOUS_API_TOKEN
+
+# Start a run
+run = neptune.init_run(
+    project="common/tf-keras-integration",
+    api_token=ANONYMOUS_API_TOKEN,
+)
+
+# Create a NeptuneCallback instance
+neptune_cbk = NeptuneCallback(run=run, base_namespace="metrics")
+
+# Pass the callback to model.fit()
+model.fit(
+    x_train,
+    y_train,
+    epochs=5,
+    batch_size=64,
+    callbacks=[neptune_cbk],
+)
+
+# Stop the run
+run.stop()
+```
+
+## Support
+
+If you got stuck or simply want to talk to us, here are your options:
+
+* Check our [FAQ page](https://docs.neptune.ai/getting_help)
+* You can submit bug reports, feature requests, or contributions directly to the repository.
+* Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP),
+* You can just shoot us an email at support@neptune.ai
+
+
+
+%package help
+Summary:	Development documents and examples for neptune-tensorflow-keras
+Provides:	python3-neptune-tensorflow-keras-doc
+%description help
+# Neptune + Keras integration
+
+Experiment tracking, model registry, data versioning, and live model monitoring for Keras trained models.
+
+## What will you get with this integration?
+
+* Log, display, organize, and compare ML experiments in a single place
+* Version, store, manage, and query trained models, and model building metadata
+* Record and monitor model training, evaluation, or production runs live
+* Collaborate with a team
+
+## What will be logged to Neptune?
+
+* hyperparameters for every run,
+* learning curves for losses and metrics during training,
+* hardware consumption and stdout/stderr output during training,
+* TensorFlow tensors as images to see model predictions live,
+* training code and Git commit information,
+* model weights,
+* [other metadata](https://docs.neptune.ai/logging/what_you_can_log)
+
+![image](https://user-images.githubusercontent.com/97611089/160638338-8a276866-6ce8-4d0a-93f5-bd564d00afdf.png)
+*Example charts in the Neptune UI with logged accuracy and loss*
+
+## Resources
+
+* [Documentation](https://docs.neptune.ai/integrations/keras)
+* [Code example on GitHub](https://github.com/neptune-ai/examples/blob/main/integrations-and-supported-tools/tensorflow-keras/scripts)
+* [Runs logged in the Neptune app](https://app.neptune.ai/o/common/org/tf-keras-integration/e/TFK-18/all)
+* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/master/integrations-and-supported-tools/tensorflow-keras/notebooks/Neptune_TensorFlow_Keras.ipynb)
+
+## Example
+
+On the command line:
+
+```
+pip install neptune-tensorflow-keras
+```
+
+In Python:
+
+```python
+import neptune
+from neptune.integrations.tensorflow_keras import NeptuneCallback
+from neptune import ANONYMOUS_API_TOKEN
+
+# Start a run
+run = neptune.init_run(
+    project="common/tf-keras-integration",
+    api_token=ANONYMOUS_API_TOKEN,
+)
+
+# Create a NeptuneCallback instance
+neptune_cbk = NeptuneCallback(run=run, base_namespace="metrics")
+
+# Pass the callback to model.fit()
+model.fit(
+    x_train,
+    y_train,
+    epochs=5,
+    batch_size=64,
+    callbacks=[neptune_cbk],
+)
+
+# Stop the run
+run.stop()
+```
+
+## Support
+
+If you got stuck or simply want to talk to us, here are your options:
+
+* Check our [FAQ page](https://docs.neptune.ai/getting_help)
+* You can submit bug reports, feature requests, or contributions directly to the repository.
+* Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP),
+* You can just shoot us an email at support@neptune.ai
+
+
+
+%prep
+%autosetup -n neptune-tensorflow-keras-2.1.1
+
+%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-neptune-tensorflow-keras -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.1.1-1
+- Package Spec generated