[doc] add small example to flight recorder tutorial #3461
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name: Build tutorials | |
on: | |
pull_request: | |
push: | |
branches: | |
- main | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }} | |
cancel-in-progress: true | |
jobs: | |
worker: | |
name: pytorch_tutorial_build_worker | |
strategy: | |
matrix: | |
include: | |
- { shard: 1, num_shards: 15, runner: "linux.g5.12xlarge.nvidia.gpu" } | |
- { shard: 2, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" } | |
- { shard: 3, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" } | |
- { shard: 4, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" } | |
- { shard: 5, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" } | |
- { shard: 6, num_shards: 15, runner: "linux.g5.4xlarge.nvidia.gpu" } | |
- { shard: 7, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
- { shard: 8, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
- { shard: 9, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
- { shard: 10, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
- { shard: 11, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
- { shard: 12, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
- { shard: 13, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
- { shard: 14, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
- { shard: 15, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" } | |
fail-fast: false | |
runs-on: ${{ matrix.runner }} | |
steps: | |
- name: Setup SSH (Click me for login details) | |
uses: pytorch/test-infra/.github/actions/setup-ssh@main | |
with: | |
github-secret: ${{ secrets.GITHUB_TOKEN }} | |
instructions: | | |
All testing is done inside the container, to start an interactive session run: | |
docker exec -it $(docker container ps --format '{{.ID}}') bash | |
- name: Checkout Tutorials | |
uses: actions/checkout@v3 | |
- name: Setup Linux | |
uses: pytorch/pytorch/.github/actions/setup-linux@main | |
- name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG | |
uses: pytorch/test-infra/.github/actions/setup-nvidia@main | |
- name: Calculate/build docker image | |
id: calculate-docker-image | |
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main | |
with: | |
docker-image-name: tutorials | |
- name: Pull docker image | |
uses: pytorch/test-infra/.github/actions/pull-docker-image@main | |
with: | |
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }} | |
- name: Build | |
shell: bash | |
env: | |
DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }} | |
NUM_WORKERS: ${{ matrix.num_shards }} | |
WORKER_ID: ${{ matrix.shard }} | |
COMMIT_ID: ${{ github.sha }} | |
JOB_TYPE: worker | |
COMMIT_SOURCE: ${{ github.ref }} | |
run: | | |
set -ex | |
chmod +x ".jenkins/build.sh" | |
container_name=$(docker run \ | |
${GPU_FLAG:-} \ | |
-e WORKER_ID \ | |
-e NUM_WORKERS \ | |
-e COMMIT_ID \ | |
-e JOB_TYPE \ | |
-e COMMIT_SOURCE \ | |
--env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ | |
--tty \ | |
--detach \ | |
--shm-size=2gb \ | |
--name="${container_name}" \ | |
-v "${GITHUB_WORKSPACE}:/var/lib/workspace" \ | |
-w /var/lib/workspace \ | |
"${DOCKER_IMAGE}" | |
) | |
docker exec -u ci-user -t "${container_name}" sh -c ".jenkins/build.sh" | |
- name: Teardown Linux | |
uses: pytorch/test-infra/.github/actions/teardown-linux@main | |
if: always() | |
manager: | |
name: pytorch_tutorial_build_manager | |
needs: worker | |
runs-on: [self-hosted, linux.2xlarge] | |
environment: ${{ github.ref == 'refs/heads/main' && 'pytorchbot-env' || '' }} | |
steps: | |
- name: Setup SSH (Click me for login details) | |
uses: pytorch/test-infra/.github/actions/setup-ssh@main | |
with: | |
github-secret: ${{ secrets.GITHUB_TOKEN }} | |
instructions: | | |
All testing is done inside the container, to start an interactive session run: | |
docker exec -it $(docker container ps --format '{{.ID}}') bash | |
- name: Checkout Tutorials | |
uses: actions/checkout@v3 | |
- name: Setup Linux | |
uses: pytorch/pytorch/.github/actions/setup-linux@main | |
- name: Calculate/build docker image | |
id: calculate-docker-image | |
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main | |
with: | |
docker-image-name: tutorials | |
- name: Pull docker image | |
uses: pytorch/test-infra/.github/actions/pull-docker-image@main | |
with: | |
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }} | |
- name: Build | |
shell: bash | |
env: | |
DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }} | |
NUM_WORKERS: 15 | |
WORKER_ID: ${{ matrix.shard }} | |
COMMIT_ID: ${{ github.sha }} | |
JOB_TYPE: manager | |
COMMIT_SOURCE: ${{ github.ref }} | |
GITHUB_PYTORCHBOT_TOKEN: ${{ secrets.PYTORCHBOT_TOKEN }} | |
run: | | |
set -ex | |
chmod +x ".jenkins/build.sh" | |
container_name=$(docker run \ | |
${GPU_FLAG:-} \ | |
-e WORKER_ID \ | |
-e NUM_WORKERS \ | |
-e COMMIT_ID \ | |
-e JOB_TYPE \ | |
-e COMMIT_SOURCE \ | |
-e GITHUB_PYTORCHBOT_TOKEN \ | |
--env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ | |
--tty \ | |
--detach \ | |
--name="${container_name}" \ | |
-v "${GITHUB_WORKSPACE}:/var/lib/workspace" \ | |
-w /var/lib/workspace \ | |
"${DOCKER_IMAGE}" | |
) | |
docker exec -u ci-user -t "${container_name}" sh -c ".jenkins/build.sh" | |
- name: Upload docs preview | |
uses: seemethere/upload-artifact-s3@v5 | |
if: ${{ github.event_name == 'pull_request' }} | |
with: | |
retention-days: 14 | |
s3-bucket: doc-previews | |
if-no-files-found: error | |
path: docs | |
s3-prefix: pytorch/tutorials/${{ github.event.pull_request.number }} | |
- name: Teardown Linux | |
uses: pytorch/test-infra/.github/actions/teardown-linux@main | |
if: always() |