Automating PyTorch ARM Builds with Docker BuildX for Nvidia CUDA and Python > 3.6

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • Jetson-Linux-PyTorch

    Building PyTorch for Nvidia Jetson Linux Driver Package (L4T) with Python > 3.6 support

  • Note: I had to put the link as the recommended liquid syntax gave an error ({% https://github.com/XavierGeerinck/Jetson-Linux-PyTorch %})

  • setup-buildx-action

    GitHub Action to set up Docker Buildx

  • docker/setup-buildx-action I cross-compile for ARM on AMD64 machines in the pipeline

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

    SurveyJS logo
  • setup-qemu-action

    GitHub Action to install QEMU static binaries

  • docker/setup-qemu-action Configure QEMU to be able to compile for ARM and install the QEMU static binaries

  • checkout

    Action for checking out a repo

  • actions/checkout Check out a repo

  • cache

    Cache dependencies and build outputs in GitHub Actions

  • actions/cache Allow us to cache the docker layers

  • upload-artifact

  • actions/upload-artifact Upload the output of a directory to GitHub artifacts

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts