test-infra/.github/workflows/test_linux_job_v2.yml at b4bcfe4b2b28435875edc4a626bf7bf47b883c94 · pytorch/test-infra · GitHub

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name: Test build/test linux workflow (v2)

on:
  pull_request:
    paths:
      - .github/workflows/linux_job_v2.yml
      - .github/workflows/test_linux_job_v2.yml
      - .github/actions/setup-linux/action.yml
      - .github/scripts/run_with_env_secrets.py
  workflow_dispatch:

jobs:
  test-cpu:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      job-name: "linux-py3.9-cpu"
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      submodules: "recursive"
      gpu-arch-type: cpu
      gpu-arch-version: ""
      script: |
        conda create --yes --quiet -n test python=3.9
        conda activate test
        python3 -m pip install --index-url https://download.pytorch.org/whl/nightly/cpu --pre torch
        # Can import pytorch
        python3 -c 'import torch'
  test-gpu:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    strategy:
      matrix:
        runner_type: ["linux.4xlarge.nvidia.gpu", "linux.g5.4xlarge.nvidia.gpu"]
    with:
      job-name: "linux-py3.9-cu121"
      runner: ${{ matrix.runner_type }}
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      submodules: ${{ 'true' }}
      gpu-arch-type: cuda
      gpu-arch-version: "12.1"
      timeout: 60
      script: |
        nvidia-smi
        nvcc --version | grep "cuda_12.1"
        conda create --yes --quiet -n test python=3.9
        conda activate test
        python3 -m pip install --index-url https://download.pytorch.org/whl/nightly/cu121 --pre torch
        # Can import pytorch, cuda is available
        python3 -c 'import torch;cuda_avail = torch.cuda.is_available();print("CUDA available: " + str(cuda_avail));assert(cuda_avail)'
        python3 -c 'import torch;t = torch.ones([2,2], device="cuda:0");print(t);print("tensor device:" + str(t.device))'
        python3 -c 'import torch;assert(torch.version.cuda == "12.1")'
  test-gpu-containers:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    strategy:
      matrix:
        runner_type: ["linux.aws.a100"]
    with:
      job-name: "linux-py3.9-cu121-container"
      runner: ${{ matrix.runner_type }}
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      submodules: ${{ 'true' }}
      gpu-arch-type: cuda
      gpu-arch-version: "12.1"
      timeout: 60
      script: |
        nvidia-smi
        nvcc --version | grep "cuda_12.1"
        conda create --yes --quiet -n test python=3.9
        conda activate test
        python3 -m pip install --index-url https://download.pytorch.org/whl/nightly/cu121 --pre torch
        # Can import pytorch, cuda is available
        python3 -c 'import torch;cuda_avail = torch.cuda.is_available();print("CUDA available: " + str(cuda_avail));assert(cuda_avail)'
        python3 -c 'import torch;t = torch.ones([2,2], device="cuda:0");print(t);print("tensor device:" + str(t.device))'
        python3 -c 'import torch;assert(torch.version.cuda == "12.1")'
  test-docker-image:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      docker-image: fedora:37@sha256:f2c083c0b7d2367a375f15e002c2dc7baaca2b3181ace61f9d5113a8fe2f6b44
      script: |
        source /etc/os-release && [[ "${ID}" = "fedora" ]] || exit 1
  test-upload-artifact:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      upload-artifact: my-cool-artifact
      script: |
        echo "hello" > "${RUNNER_ARTIFACT_DIR}/cool_beans"
  test-upload-artifact-no-artifact:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      upload-artifact: my-cool-artifact
      script: |
        echo "hello"
  test-upload-artifact-s3:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      upload-artifact: my-cool-artifact
      upload-artifact-to-s3: true
      script: |
        echo "hello" > "${RUNNER_ARTIFACT_DIR}/cool_beans"
  test-upload-artifact-s3-no-artifact:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      upload-artifact: my-cool-artifact
      upload-artifact-to-s3: true
      script: |
        echo "hello"
  test-download-artifact:
    needs: test-upload-artifact
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      download-artifact: my-cool-artifact
      script: |
        grep  "hello" "${RUNNER_ARTIFACT_DIR}/cool_beans"
  upload-docs:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      script: |
        echo "hello" > "${RUNNER_DOCS_DIR}/index.html"
  verify-upload-docs:
    needs: upload-docs
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      script: |
        # Sleep a couple of seconds just in case S3 is being slow (might not be needed?)
        sleep 10
        REPO_NAME="$(echo "${GITHUB_REPOSITORY}" | cut -d '/' -f2)"
        curl -fsSL "https://docs-preview.pytorch.org/pytorch/${REPO_NAME}/${PR_NUMBER}/index.html" | grep "hello"
  test-with-matrix:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    strategy:
      matrix:
        python_version: ["3.9", "3.10", "3.11", "3.12"]
    with:
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      binary-matrix: ${{ toJSON(matrix) }}
      script: |
        set -x
        PYTHON_VERSION="${{ matrix.python_version }}"
        conda create --yes --quiet -n test python="${PYTHON_VERSION}"
        conda activate test
        python --version | grep "${PYTHON_VERSION}"
  test-no-docker:
    uses: ./.github/workflows/linux_job_v2.yml
    permissions:
      id-token: write
    with:
      job-name: "no-docker-test"
      runner: linux.2xlarge
      test-infra-repository: ${{ github.repository }}
      test-infra-ref: ${{ github.ref }}
      gpu-arch-type: cpu
      gpu-arch-version: ""
      run-with-docker: false
      script: |
        export PYTHON_VERSION="3.9"
        docker run -e PYTHON_VERSION -t -v $PWD:$PWD -w $PWD "${DOCKER_IMAGE}" echo "hello from inside docker"
        echo "hello from outside docker"