# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.

trigger:
  - main
  - release/*

pool:
  name: SuperBench CI
  demands: cuda-agent
  vmImage: ubuntu-latest

container:
  image: nvcr.io/nvidia/pytorch:24.03-py3
  options: '--name cuda-ci -v /var/run/docker.sock:/var/run/docker.sock -v /usr/bin/docker:/usr/bin/docker:ro'

steps:
  - script: |
      echo "##vso[task.prependpath]$HOME/.local/bin"
    displayName: Export path
  - script: |
      docker exec -t -u root -e DEBIAN_FRONTEND=noninteractive cuda-ci bash -c \
        "apt-get update -y -q && \
        yes '' | apt-get install -y -q sudo && \
        apt-get install -y -q \
        ffmpeg libavcodec-dev libavformat-dev libavutil-dev libboost-program-options-dev libswresample-dev"
      python3 -m pip install --upgrade pip setuptools==65.7
      python3 -m pip install .[test,nvworker]
      make postinstall
    displayName: Install dependencies
  - script: |
      python3 setup.py lint
    displayName: Run code lint
  - script: |
      SB_MICRO_PATH=$PWD make cppbuild
    displayName: Build benchmarks
  - script: |
      SB_MICRO_PATH=$PWD python3 setup.py test
    displayName: Run unit tests
    timeoutInMinutes: 60
  - script: |
      bash <(curl -s https://codecov.io/bash) -cF cuda-unit-test
    displayName: Report coverage results
    env:
      CODECOV_TOKEN: $(codecovToken)