Index PyTorch Tests for Target Determination #30
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: Index PyTorch Tests for Target Determination | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: '0 0 * * *' | |
| permissions: | |
| id-token: write | |
| contents: read | |
| jobs: | |
| get-label-type: | |
| if: github.repository_owner == 'pytorch' | |
| name: get-label-type | |
| uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main | |
| with: | |
| triggering_actor: ${{ github.triggering_actor }} | |
| issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }} | |
| curr_branch: ${{ github.head_ref || github.ref_name }} | |
| curr_ref_type: ${{ github.ref_type }} | |
| index: | |
| needs: get-label-type | |
| runs-on: "${{ needs.get-label-type.outputs.label-type }}linux.g5.4xlarge.nvidia.gpu" # 1 GPU A10G 24GB each | |
| environment: target-determinator-env | |
| steps: | |
| - name: Clone PyTorch | |
| uses: actions/checkout@v3 | |
| with: | |
| path: pytorch | |
| - name: Setup Linux | |
| uses: ./pytorch/.github/actions/setup-linux | |
| - name: Calculate docker image | |
| id: calculate-docker-image | |
| uses: pytorch/test-infra/.github/actions/calculate-docker-image@main | |
| with: | |
| docker-image-name: pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9 | |
| working-directory: pytorch | |
| - name: Use following to pull public copy of the image | |
| id: print-ghcr-mirror | |
| env: | |
| ECR_DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }} | |
| shell: bash | |
| run: | | |
| tag=${ECR_DOCKER_IMAGE##*/} | |
| echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" | |
| - 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: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG | |
| id: install-nvidia-driver | |
| uses: pytorch/test-infra/.github/actions/setup-nvidia@main | |
| - name: Clone CodeLlama | |
| uses: actions/checkout@v3 | |
| with: | |
| repository: osalpekar/codellama | |
| ref: 1ec50e0cfc0fadc3b6ceb146617e2119ab26eb34 | |
| path: codellama | |
| - name: Clone Target Determination Code | |
| uses: actions/checkout@v3 | |
| with: | |
| repository: osalpekar/llm-target-determinator | |
| ref: v0.0.2 | |
| path: llm-target-determinator | |
| - name: Configure AWS credentials | |
| uses: aws-actions/configure-aws-credentials@v3 | |
| with: | |
| role-to-assume: arn:aws:iam::308535385114:role/gha_target_determinator_s3_read_write | |
| aws-region: us-east-1 | |
| - name: Download checkpoint | |
| shell: bash | |
| env: | |
| AWS_DEFAULT_REGION: us-east-1 | |
| run: | | |
| # Do this outside of docker so I don't have to put env vars in | |
| pip3 install awscli==1.29.40 | |
| cd codellama | |
| mkdir "CodeLlama-7b-Python" | |
| aws s3 cp \ | |
| "s3://target-determinator-assets/CodeLlama-7b-Python" \ | |
| "CodeLlama-7b-Python" \ | |
| --recursive | |
| - name: Run indexer | |
| shell: bash -l {0} | |
| env: | |
| DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }} | |
| GITHUB_RUN_ID: ${{ github.run_id }} | |
| AWS_DEFAULT_REGION: us-east-1 | |
| run: | | |
| # detached container should get cleaned up by teardown_ec2_linux | |
| container_name=$(docker run \ | |
| ${GPU_FLAG:-} \ | |
| -e MAX_JOBS="$(nproc --ignore=2)" \ | |
| -e AWS_DEFAULT_REGION \ | |
| --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ | |
| --security-opt seccomp=unconfined \ | |
| --cap-add=SYS_PTRACE \ | |
| --tty \ | |
| --detach \ | |
| --user jenkins \ | |
| -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ | |
| -w /var/lib/jenkins/workspace \ | |
| "${DOCKER_IMAGE}" | |
| ) | |
| chmod +x pytorch/.github/scripts/td_llm_indexer.sh | |
| docker exec -t "${container_name}" sh -c 'pytorch/.github/scripts/td_llm_indexer.sh' | |
| - name: Upload to s3 | |
| shell: bash -l {0} | |
| env: | |
| AWS_DEFAULT_REGION: us-east-1 | |
| run: | | |
| cd llm-target-determinator/assets | |
| TIMESTAMP=$(date -Iseconds) | |
| ZIP_NAME="indexer-files-${TIMESTAMP}.zip" | |
| # Create a zipfile with all the generated indices | |
| zip -r "${ZIP_NAME}" indexer-files | |
| # Note that because the below 2 operations are not atomic, there will | |
| # be a period of a few seconds between these where there is no index | |
| # present in the latest/ folder. To account for this, the retriever | |
| # should have some retry logic with backoff to ensure fetching the | |
| # index doesn't fail. | |
| # Move the old index into the archived/ folder | |
| aws s3 mv \ | |
| "s3://target-determinator-assets/indexes/latest" \ | |
| "s3://target-determinator-assets/indexes/archived" \ | |
| --recursive | |
| # Move the new index into the latestl/ folder | |
| aws s3 cp \ | |
| "${ZIP_NAME}" \ | |
| "s3://target-determinator-assets/indexes/latest/${ZIP_NAME}" | |
| - name: Teardown Linux | |
| uses: pytorch/test-infra/.github/actions/teardown-linux@main | |
| if: always() | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }} | |
| cancel-in-progress: true |