%global _empty_manifest_terminate_build 0 Name: python-deepspeed Version: 0.9.1 Release: 1 Summary: DeepSpeed library License: MIT URL: http://deepspeed.ai Source0: https://mirrors.nju.edu.cn/pypi/web/packages/fc/4e/5eb2fd0f363b89e8f58673fb4a9bd04b8273a43e4e7aa3d397ed76b1ca63/deepspeed-0.9.1.tar.gz BuildArch: noarch %description # Extreme Speed and Scale for DL Training and Inference ***[DeepSpeed](https://www.deepspeed.ai/) enables world's most powerful language models like [MT-530B](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/) and [BLOOM](https://huggingface.co/blog/bloom-megatron-deepspeed)***. It is an easy-to-use deep learning optimization software suite that powers unprecedented scale and speed for both training and inference. With DeepSpeed you can: * Train/Inference dense or sparse models with billions or trillions of parameters * Achieve excellent system throughput and efficiently scale to thousands of GPUs * Train/Inference on resource constrained GPU systems * Achieve unprecedented low latency and high throughput for inference %package -n python3-deepspeed Summary: DeepSpeed library Provides: python-deepspeed BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-deepspeed # Extreme Speed and Scale for DL Training and Inference ***[DeepSpeed](https://www.deepspeed.ai/) enables world's most powerful language models like [MT-530B](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/) and [BLOOM](https://huggingface.co/blog/bloom-megatron-deepspeed)***. It is an easy-to-use deep learning optimization software suite that powers unprecedented scale and speed for both training and inference. With DeepSpeed you can: * Train/Inference dense or sparse models with billions or trillions of parameters * Achieve excellent system throughput and efficiently scale to thousands of GPUs * Train/Inference on resource constrained GPU systems * Achieve unprecedented low latency and high throughput for inference %package help Summary: Development documents and examples for deepspeed Provides: python3-deepspeed-doc %description help # Extreme Speed and Scale for DL Training and Inference ***[DeepSpeed](https://www.deepspeed.ai/) enables world's most powerful language models like [MT-530B](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/) and [BLOOM](https://huggingface.co/blog/bloom-megatron-deepspeed)***. It is an easy-to-use deep learning optimization software suite that powers unprecedented scale and speed for both training and inference. With DeepSpeed you can: * Train/Inference dense or sparse models with billions or trillions of parameters * Achieve excellent system throughput and efficiently scale to thousands of GPUs * Train/Inference on resource constrained GPU systems * Achieve unprecedented low latency and high throughput for inference %prep %autosetup -n deepspeed-0.9.1 %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-deepspeed -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Sun Apr 23 2023 Python_Bot - 0.9.1-1 - Package Spec generated