Update tensorboard_profiler_tutorial.py #1243
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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.16xlarge.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 }} | |
| env: | |
| DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9" | |
| CUDA_VERSION: "9" | |
| 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 $(docker container ps --format '{{.ID}}') bash | |
| - name: Checkout Tutorials | |
| uses: actions/checkout@v3 | |
| - name: Setup Linux | |
| uses: pytorch/pytorch/.github/actions/setup-linux@main | |
| - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG | |
| uses: pytorch/test-infra/.github/actions/setup-nvidia@main | |
| - name: Calculate docker image | |
| shell: bash | |
| id: docker-image | |
| run: | | |
| set -ex | |
| # for some reason, pip installs it in a different place than what is looked at in the py file | |
| pip3 install requests==2.26 | |
| pyTorchDockerImageTag=$(python3 .jenkins/get_docker_tag.py) | |
| echo "docker-image=${DOCKER_IMAGE}:${pyTorchDockerImageTag}" >> "${GITHUB_OUTPUT}" | |
| - name: Pull docker image | |
| uses: pytorch/test-infra/.github/actions/pull-docker-image@main | |
| with: | |
| docker-image: ${{ steps.docker-image.outputs.docker-image }} | |
| - name: Build | |
| shell: bash | |
| env: | |
| DOCKER_IMAGE: ${{ steps.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 \ | |
| --user jenkins \ | |
| --shm-size=2gb \ | |
| --name="${container_name}" \ | |
| -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ | |
| -w /var/lib/jenkins/workspace \ | |
| "${DOCKER_IMAGE}" | |
| ) | |
| echo "rm /opt/cache/bin/*" | docker exec -u root -i "${container_name}" bash | |
| docker exec -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' || '' }} | |
| env: | |
| DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9" | |
| CUDA_VERSION: "9" | |
| 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 $(docker container ps --format '{{.ID}}') bash | |
| - name: Checkout Tutorials | |
| uses: actions/checkout@v3 | |
| - name: Setup Linux | |
| uses: pytorch/pytorch/.github/actions/setup-linux@main | |
| - name: Calculate docker image | |
| shell: bash | |
| id: docker-image | |
| run: | | |
| set -ex | |
| # for some reason, pip installs it in a different place than what is looked at in the py file | |
| pip3 install requests==2.26 | |
| pyTorchDockerImageTag=$(python3 .jenkins/get_docker_tag.py) | |
| echo "docker-image=${DOCKER_IMAGE}:${pyTorchDockerImageTag}" >> "${GITHUB_OUTPUT}" | |
| - name: Pull docker image | |
| uses: pytorch/test-infra/.github/actions/pull-docker-image@main | |
| with: | |
| docker-image: ${{ steps.docker-image.outputs.docker-image }} | |
| - name: Build | |
| shell: bash | |
| env: | |
| DOCKER_IMAGE: ${{ steps.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 \ | |
| --user jenkins \ | |
| --name="${container_name}" \ | |
| -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ | |
| -w /var/lib/jenkins/workspace \ | |
| "${DOCKER_IMAGE}" | |
| ) | |
| echo "rm /opt/cache/bin/*" | docker exec -u root -i "${container_name}" bash | |
| docker exec -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() |