Coder Social home page Coder Social logo

jakirkham-feedstocks / cudatoolkit-feedstock Goto Github PK

View Code? Open in Web Editor NEW

This project forked from conda-forge/cudatoolkit-feedstock

0.0 2.0 0.0 221 KB

A conda-smithy repository for cudatoolkit.

License: BSD 3-Clause "New" or "Revised" License

Python 96.06% Batchfile 1.48% Shell 2.47%

cudatoolkit-feedstock's Introduction

About cudatoolkit-feedstock

Feedstock license: BSD-3-Clause

Home: https://developer.nvidia.com/cuda-toolkit

Package license: LicenseRef-NVIDIA-End-User-License-Agreement

Summary: CUDA Toolkit - Including CUDA runtime

Development: https://developer.nvidia.com/cuda-downloads

Documentation: https://docs.nvidia.com/cuda/

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers can dramatically speed up computing applications by harnessing the power of GPUs.

The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. This CUDA Toolkit includes GPU-accelerated libraries, and the CUDA runtime for the Conda ecosystem. For the full CUDA Toolkit with a compiler and development tools visit https://developer.nvidia.com/cuda-downloads

License Agreements The packages are governed by the CUDA Toolkit End User License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the CUDA EULA - https://docs.nvidia.com/cuda/eula/index.html

Current build status

Azure
VariantStatus
linux_64_major_minor_ver10.0 variant
linux_64_major_minor_ver10.1 variant
linux_64_major_minor_ver10.2 variant
linux_64_major_minor_ver11.0 variant
linux_64_major_minor_ver11.1 variant
linux_64_major_minor_ver11.2.2 variant
linux_64_major_minor_ver11.3.1 variant
linux_64_major_minor_ver11.4.3 variant
linux_64_major_minor_ver11.5.2 variant
linux_64_major_minor_ver11.6.1 variant
linux_64_major_minor_ver11.6.2 variant
linux_64_major_minor_ver11.7.1 variant
linux_64_major_minor_ver11.8.0 variant
linux_64_major_minor_ver9.2 variant
linux_aarch64_major_minor_ver11.0 variant
linux_aarch64_major_minor_ver11.1 variant
linux_aarch64_major_minor_ver11.2.2 variant
linux_aarch64_major_minor_ver11.3.1 variant
linux_aarch64_major_minor_ver11.4.3 variant
linux_aarch64_major_minor_ver11.5.2 variant
linux_aarch64_major_minor_ver11.6.1 variant
linux_aarch64_major_minor_ver11.6.2 variant
linux_aarch64_major_minor_ver11.7.1 variant
linux_aarch64_major_minor_ver11.8.0 variant
linux_ppc64le_major_minor_ver10.2 variant
linux_ppc64le_major_minor_ver11.0 variant
linux_ppc64le_major_minor_ver11.1 variant
linux_ppc64le_major_minor_ver11.2.2 variant
linux_ppc64le_major_minor_ver11.3.1 variant
linux_ppc64le_major_minor_ver11.4.3 variant
linux_ppc64le_major_minor_ver11.5.2 variant
linux_ppc64le_major_minor_ver11.6.1 variant
linux_ppc64le_major_minor_ver11.6.2 variant
linux_ppc64le_major_minor_ver11.7.1 variant
linux_ppc64le_major_minor_ver11.8.0 variant
win_64_major_minor_ver10.0 variant
win_64_major_minor_ver10.1 variant
win_64_major_minor_ver10.2 variant
win_64_major_minor_ver11.0 variant
win_64_major_minor_ver11.1 variant
win_64_major_minor_ver11.2.2 variant
win_64_major_minor_ver11.3.1 variant
win_64_major_minor_ver11.4.3 variant
win_64_major_minor_ver11.5.2 variant
win_64_major_minor_ver11.6.1 variant
win_64_major_minor_ver11.6.2 variant
win_64_major_minor_ver11.7.1 variant
win_64_major_minor_ver11.8.0 variant
win_64_major_minor_ver9.2 variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing cudatoolkit

Installing cudatoolkit from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, cudatoolkit can be installed with conda:

conda install cudatoolkit

or with mamba:

mamba install cudatoolkit

It is possible to list all of the versions of cudatoolkit available on your platform with conda:

conda search cudatoolkit --channel conda-forge

or with mamba:

mamba search cudatoolkit --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search cudatoolkit --channel conda-forge

# List packages depending on `cudatoolkit`:
mamba repoquery whoneeds cudatoolkit --channel conda-forge

# List dependencies of `cudatoolkit`:
mamba repoquery depends cudatoolkit --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating cudatoolkit-feedstock

If you would like to improve the cudatoolkit recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/cudatoolkit-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

cudatoolkit-feedstock's People

Contributors

scopatz avatar jakirkham avatar jaimergp avatar mike-wendt avatar carterbox avatar jjacobelli avatar conda-forge-admin avatar github-actions[bot] avatar cf-blacksmithy avatar conda-forge-curator[bot] avatar leofang avatar m3vaz avatar bdice avatar felixs90 avatar isuruf avatar kkraus14 avatar gabm avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.