azure-pipelines.yml

trigger:
  branches:
    include:
      - main
  paths:
    exclude:
      - .github/*
      - docs/**
      - README.md
      - notebooks/*

pool:
  name: gpu-t4-pool

variables:
  imageName: 'nebulydocker/nebullvm'

steps:

  - script: |
      nvidia-smi
    displayName: 'Ensure cuda is installed correctly'

  - script: |
      pip uninstall -y nebullvm
      pip install .
    displayName: 'Install nebullvm'

  - script: |
      cd apps/accelerate/speedster
      pip uninstall -y speedster
      pip install .
      cd ../../..
    displayName: 'Install speedster'

  - script: python -m pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu117
    displayName: 'Install PyTorch'

  - script: python -m nebullvm.installers.auto_installer --compilers all
    displayName: 'Install deep learning compilers'

  - script: python -m pip install -r "requirements-dev.txt"
    displayName: 'Install requirements for testing'

  - script: |
      export SPEEDSTER_DISABLE_TELEMETRY=1
      export PATH=$PATH:/home/AzDevOps/.local/bin
      cd apps/accelerate/speedster
      pytest
      cd ../../..
    displayName: 'Run api tests'

  - script: |
      export PATH=$PATH:/home/AzDevOps/.local/bin
      cd nebullvm
      pytest
      cd ../
    displayName: 'Run components tests'

  - script: |
      export DEBIAN_FRONTEND=noninteractive
      sudo apt-get update -y
      sudo apt-get install -y ca-certificates curl gnupg lsb-release
      sudo mkdir -p /etc/apt/keyrings
      curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
      echo \
        "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
        $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
      sudo apt-get update -y
      sudo apt-get install -y docker-ce docker-ce-cli containerd.io
      sudo chmod 666 /var/run/docker.sock
    displayName: 'Install docker'

  - script: |
      docker run hello-world
    displayName: 'Ensure docker works correctly'

  - script: |
      curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
        sudo apt-key add -
      distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
      curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
        sudo tee /etc/apt/sources.list.d/nvidia-docker.list
      sudo apt-get update
      sudo apt-get install -y nvidia-docker2
      sudo pkill -SIGHUP dockerd
      sudo mkdir -p /etc/docker
      sudo tee /etc/docker/daemon.json <<EOF
      {
        "runtimes": {
          "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
          }
        },
        "default-runtime": "nvidia"
      }
      EOF
      sudo pkill -SIGHUP dockerd
    displayName: 'Setup docker to use nvidia'

  - task: Docker@2
    displayName: 'Build and push the image to DockerHub'
    inputs:
      containerRegistry: 'docker hub'
      repository: 'nebulydocker/nebullvm'
      command: 'buildAndPush'
      Dockerfile: 'Dockerfile'
      tags: |
        latest