From 9418ed16a545a4d4184609d655c80f22f9c7a666 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Mon, 15 May 2023 07:28:26 +0000 Subject: automatic import of python-spotty --- python-spotty.spec | 312 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 312 insertions(+) create mode 100644 python-spotty.spec (limited to 'python-spotty.spec') diff --git a/python-spotty.spec b/python-spotty.spec new file mode 100644 index 0000000..5f90072 --- /dev/null +++ b/python-spotty.spec @@ -0,0 +1,312 @@ +%global _empty_manifest_terminate_build 0 +Name: python-spotty +Version: 1.3.3 +Release: 1 +Summary: Training deep learning models on AWS and GCP instances +License: MIT +URL: https://github.com/spotty-cloud/spotty +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/8d/28/8fcb680613f400e68059d62b45e8fabb2d77caadf3ef40f3153535daab4d/spotty-1.3.3.tar.gz +BuildArch: noarch + +Requires: python3-boto3 +Requires: python3-google-api-python-client +Requires: python3-google-cloud-storage +Requires: python3-cfn-flip +Requires: python3-schema +Requires: python3-chevron + +%description + + +[![Documentation](https://img.shields.io/badge/documentation-reference-brightgreen.svg)](https://spotty.cloud) +[![PyPI](https://img.shields.io/pypi/v/spotty.svg)](https://pypi.org/project/spotty/) +![PyPI - Python Version](https://img.shields.io/pypi/pyversions/spotty.svg) +![PyPI - License](https://img.shields.io/pypi/l/spotty.svg) + +Spotty drastically simplifies training of deep learning models on [AWS](https://aws.amazon.com/) +and [GCP](https://cloud.google.com/): + +- it makes training on GPU instances as simple as training on your local machine +- it automatically manages all necessary cloud resources including images, volumes, snapshots and SSH keys +- it makes your model trainable in the cloud by everyone with a couple of commands +- it uses [tmux](https://en.wikipedia.org/wiki/Tmux) to easily detach remote processes from their terminals +- it saves you up to 70% of the costs by using [AWS Spot Instances](https://aws.amazon.com/ec2/spot/) +and [GCP Preemtible VMs](https://cloud.google.com/preemptible-vms/) + +## Documentation + +- See the [documentation page](https://spotty.cloud). +- Read [this](https://medium.com/@apls/how-to-train-deep-learning-models-on-aws-spot-instances-using-spotty-8d9e0543d365) +article on Medium for a real-world example. + +## Installation + +Requirements: + * Python >=3.6 + * AWS CLI (see [Installing the AWS Command Line Interface](http://docs.aws.amazon.com/cli/latest/userguide/installing.html)) + if you're using AWS + * Google Cloud SDK (see [Installing Google Cloud SDK](https://cloud.google.com/sdk/install)) + if you're using GCP + +Use [pip](http://www.pip-installer.org/en/latest/) to install or upgrade Spotty: + + $ pip install -U spotty + +## Get Started + +1. Prepare a `spotty.yaml` file and put it to the root directory of your project: + + - See the file specification [here](https://spotty.cloud/docs/user-guide/configuration-file.html). + - Read [this](https://medium.com/@apls/how-to-train-deep-learning-models-on-aws-spot-instances-using-spotty-8d9e0543d365) + article for a real-world example. + +2. Start an instance: + + ```bash + $ spotty start + ``` + + It will run a Spot Instance, restore snapshots if any, synchronize the project with the running instance + and start the Docker container with the environment. + +3. Train a model or run notebooks. + + To connect to the running container via SSH, use the following command: + + ```bash + $ spotty sh + ``` + + It runs a [tmux](https://github.com/tmux/tmux/wiki) session, so you can always detach this session using + __`Ctrl + b`__, then __`d`__ combination of keys. To be attached to that session later, just use the + `spotty sh` command again. + + Also, you can run your custom scripts inside the Docker container using the `spotty run ` command. Read more + about custom scripts in the documentation: + [Configuration: "scripts" section](https://spotty.cloud/docs/configuration-file/#scripts-section-optional). + +## Contributions + +Any feedback or contributions are welcome! Please check out the [guidelines](CONTRIBUTING.md). + +## License + +[MIT License](LICENSE) + + + + +%package -n python3-spotty +Summary: Training deep learning models on AWS and GCP instances +Provides: python-spotty +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-spotty + + +[![Documentation](https://img.shields.io/badge/documentation-reference-brightgreen.svg)](https://spotty.cloud) +[![PyPI](https://img.shields.io/pypi/v/spotty.svg)](https://pypi.org/project/spotty/) +![PyPI - Python Version](https://img.shields.io/pypi/pyversions/spotty.svg) +![PyPI - License](https://img.shields.io/pypi/l/spotty.svg) + +Spotty drastically simplifies training of deep learning models on [AWS](https://aws.amazon.com/) +and [GCP](https://cloud.google.com/): + +- it makes training on GPU instances as simple as training on your local machine +- it automatically manages all necessary cloud resources including images, volumes, snapshots and SSH keys +- it makes your model trainable in the cloud by everyone with a couple of commands +- it uses [tmux](https://en.wikipedia.org/wiki/Tmux) to easily detach remote processes from their terminals +- it saves you up to 70% of the costs by using [AWS Spot Instances](https://aws.amazon.com/ec2/spot/) +and [GCP Preemtible VMs](https://cloud.google.com/preemptible-vms/) + +## Documentation + +- See the [documentation page](https://spotty.cloud). +- Read [this](https://medium.com/@apls/how-to-train-deep-learning-models-on-aws-spot-instances-using-spotty-8d9e0543d365) +article on Medium for a real-world example. + +## Installation + +Requirements: + * Python >=3.6 + * AWS CLI (see [Installing the AWS Command Line Interface](http://docs.aws.amazon.com/cli/latest/userguide/installing.html)) + if you're using AWS + * Google Cloud SDK (see [Installing Google Cloud SDK](https://cloud.google.com/sdk/install)) + if you're using GCP + +Use [pip](http://www.pip-installer.org/en/latest/) to install or upgrade Spotty: + + $ pip install -U spotty + +## Get Started + +1. Prepare a `spotty.yaml` file and put it to the root directory of your project: + + - See the file specification [here](https://spotty.cloud/docs/user-guide/configuration-file.html). + - Read [this](https://medium.com/@apls/how-to-train-deep-learning-models-on-aws-spot-instances-using-spotty-8d9e0543d365) + article for a real-world example. + +2. Start an instance: + + ```bash + $ spotty start + ``` + + It will run a Spot Instance, restore snapshots if any, synchronize the project with the running instance + and start the Docker container with the environment. + +3. Train a model or run notebooks. + + To connect to the running container via SSH, use the following command: + + ```bash + $ spotty sh + ``` + + It runs a [tmux](https://github.com/tmux/tmux/wiki) session, so you can always detach this session using + __`Ctrl + b`__, then __`d`__ combination of keys. To be attached to that session later, just use the + `spotty sh` command again. + + Also, you can run your custom scripts inside the Docker container using the `spotty run ` command. Read more + about custom scripts in the documentation: + [Configuration: "scripts" section](https://spotty.cloud/docs/configuration-file/#scripts-section-optional). + +## Contributions + +Any feedback or contributions are welcome! Please check out the [guidelines](CONTRIBUTING.md). + +## License + +[MIT License](LICENSE) + + + + +%package help +Summary: Development documents and examples for spotty +Provides: python3-spotty-doc +%description help + + +[![Documentation](https://img.shields.io/badge/documentation-reference-brightgreen.svg)](https://spotty.cloud) +[![PyPI](https://img.shields.io/pypi/v/spotty.svg)](https://pypi.org/project/spotty/) +![PyPI - Python Version](https://img.shields.io/pypi/pyversions/spotty.svg) +![PyPI - License](https://img.shields.io/pypi/l/spotty.svg) + +Spotty drastically simplifies training of deep learning models on [AWS](https://aws.amazon.com/) +and [GCP](https://cloud.google.com/): + +- it makes training on GPU instances as simple as training on your local machine +- it automatically manages all necessary cloud resources including images, volumes, snapshots and SSH keys +- it makes your model trainable in the cloud by everyone with a couple of commands +- it uses [tmux](https://en.wikipedia.org/wiki/Tmux) to easily detach remote processes from their terminals +- it saves you up to 70% of the costs by using [AWS Spot Instances](https://aws.amazon.com/ec2/spot/) +and [GCP Preemtible VMs](https://cloud.google.com/preemptible-vms/) + +## Documentation + +- See the [documentation page](https://spotty.cloud). +- Read [this](https://medium.com/@apls/how-to-train-deep-learning-models-on-aws-spot-instances-using-spotty-8d9e0543d365) +article on Medium for a real-world example. + +## Installation + +Requirements: + * Python >=3.6 + * AWS CLI (see [Installing the AWS Command Line Interface](http://docs.aws.amazon.com/cli/latest/userguide/installing.html)) + if you're using AWS + * Google Cloud SDK (see [Installing Google Cloud SDK](https://cloud.google.com/sdk/install)) + if you're using GCP + +Use [pip](http://www.pip-installer.org/en/latest/) to install or upgrade Spotty: + + $ pip install -U spotty + +## Get Started + +1. Prepare a `spotty.yaml` file and put it to the root directory of your project: + + - See the file specification [here](https://spotty.cloud/docs/user-guide/configuration-file.html). + - Read [this](https://medium.com/@apls/how-to-train-deep-learning-models-on-aws-spot-instances-using-spotty-8d9e0543d365) + article for a real-world example. + +2. Start an instance: + + ```bash + $ spotty start + ``` + + It will run a Spot Instance, restore snapshots if any, synchronize the project with the running instance + and start the Docker container with the environment. + +3. Train a model or run notebooks. + + To connect to the running container via SSH, use the following command: + + ```bash + $ spotty sh + ``` + + It runs a [tmux](https://github.com/tmux/tmux/wiki) session, so you can always detach this session using + __`Ctrl + b`__, then __`d`__ combination of keys. To be attached to that session later, just use the + `spotty sh` command again. + + Also, you can run your custom scripts inside the Docker container using the `spotty run ` command. Read more + about custom scripts in the documentation: + [Configuration: "scripts" section](https://spotty.cloud/docs/configuration-file/#scripts-section-optional). + +## Contributions + +Any feedback or contributions are welcome! Please check out the [guidelines](CONTRIBUTING.md). + +## License + +[MIT License](LICENSE) + + + + +%prep +%autosetup -n spotty-1.3.3 + +%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-spotty -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 15 2023 Python_Bot - 1.3.3-1 +- Package Spec generated -- cgit v1.2.3