Index PyTorch Tests for Target Determination #14
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| 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 |