e2e-nvidia-l40s-x4.yml

# SPDX-License-Identifier: Apache-2.0

name: E2E (NVIDIA L40S x4)

on:
  schedule:
    - cron: '0 16 * * *' # Runs at 4PM UTC every day
  workflow_dispatch:
    inputs:
      pr_or_branch:
        description: 'pull request number or branch name'
        required: true
        default: 'main'

jobs:
  start-large-ec2-runner:
    runs-on: ubuntu-latest
    outputs:
      label: ${{ steps.start-ec2-runner.outputs.label }}
      ec2-instance-id: ${{ steps.start-ec2-runner.outputs.ec2-instance-id }}
    steps:
      - name: "Harden Runner"
        # v2.10.1
        uses: step-security/harden-runner@91182cccc01eb5e619899d80e4e971d6181294a7
        with:
          egress-policy: audit

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502 # v4.0.2
        with:
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: ${{ secrets.AWS_REGION }}

      - name: Start EC2 runner
        id: start-ec2-runner
        uses: machulav/ec2-github-runner@1827d6ca7544d7044ddbd2e9360564651b463da2 # v2.3.7
        with:
          mode: start
          github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
          ec2-image-id: ${{ vars.AWS_EC2_AMI }}
          ec2-instance-type: g6e.12xlarge
          subnet-id: subnet-024298cefa3bedd61
          security-group-id: sg-06300447c4a5fbef3
          iam-role-name: instructlab-ci-runner
          aws-resource-tags: >
            [
              {"Key": "Name", "Value": "instructlab-ci-github-large-runner"},
              {"Key": "GitHubRepository", "Value": "${{ github.repository }}"},
              {"Key": "GitHubRef", "Value": "${{ github.ref }}"},
              {"Key": "GitHubPR", "Value": "${{ github.event.number }}"}
            ]

  e2e-large-test:
    needs:
      - start-large-ec2-runner
    runs-on: ${{ needs.start-large-ec2-runner.outputs.label }}

    permissions:
      pull-requests: write

    steps:
      - name: "Harden Runner"
        # v2.10.1
        uses: step-security/harden-runner@91182cccc01eb5e619899d80e4e971d6181294a7
        with:
          egress-policy: audit
      - name: Install Packages
        run: |
          cat /etc/os-release
          sudo dnf install -y gcc gcc-c++ make git python3.11 python3.11-devel

      - name: Checkout instructlab/instructlab
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
        with:
          repository: "instructlab/instructlab"
          path: "instructlab"
          # https://github.com/actions/checkout/issues/249
          fetch-depth: 0
  
      - name: Checkout instructlab/training
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
        with:
          repository: "instructlab/training"
          path: "training"
          # https://github.com/actions/checkout/issues/249
          fetch-depth: 0

      - name: Determine if pr_or_branch is a PR number
        id: check_pr
        run: |
          PR_OR_BRANCH=${{ github.event.inputs.pr_or_branch || 'main' }} # Default to 'main' if not set
          if [[ "$PR_OR_BRANCH" =~ ^[0-9]+$ ]]; then
            echo "is_pr=true" >> "$GITHUB_OUTPUT"
          else
            echo "is_pr=false" >> "$GITHUB_OUTPUT"
          fi
          echo "pr_or_branch=$PR_OR_BRANCH" >> "$GITHUB_OUTPUT"

      - name: Check if gh cli is installed
        id: gh_cli
        run: |
          if command -v gh &> /dev/null ; then
            echo "gh_cli_installed=true" >> "$GITHUB_OUTPUT"
          else
            echo "gh_cli_installed=false" >> "$GITHUB_OUTPUT"
          fi

      - name: Install gh CLI
        if: steps.gh_cli.outputs.gh_cli_installed == 'false'
        run: |
          sudo dnf install 'dnf-command(config-manager)' -y
          sudo dnf config-manager --add-repo https://cli.github.com/packages/rpm/gh-cli.repo
          sudo dnf install gh --repo gh-cli -y

      - name: test gh CLI
        run: |
          gh --version

      - name: set default repo
        working-directory: ./training
        run: |
          gh repo set-default ${{ github.server_url }}/${{ github.repository }}
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - name: Add comment to PR
        if: steps.check_pr.outputs.is_pr == 'true'
        working-directory: ./training
        run: |
          gh pr comment "${{ steps.check_pr.outputs.pr_or_branch }}" -b "${{ github.workflow }} workflow launched on this PR: [View run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }})"
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - name: Fetch and checkout PR
        if: steps.check_pr.outputs.is_pr == 'true'
        working-directory: ./training
        run: |
          gh pr checkout ${{ steps.check_pr.outputs.pr_or_branch }}
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - name: Checkout branch
        if: steps.check_pr.outputs.is_pr == 'false'
        working-directory: ./training
        run: |
          git checkout ${{ steps.check_pr.outputs.pr_or_branch }}

      - name: Install ilab
        working-directory: ./instructlab
        run: |
          export CUDA_HOME="/usr/local/cuda"
          export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
          export PATH="$PATH:$CUDA_HOME/bin"
          python3.11 -m venv --upgrade-deps venv
          . venv/bin/activate
          nvidia-smi
          python3.11 -m pip cache remove llama_cpp_python

          CMAKE_ARGS="-DLLAMA_CUDA=on" python3.11 -m pip install .

          # https://github.com/instructlab/instructlab/issues/1821
          # install with Torch and build dependencies installed
          python3.11 -m pip install packaging wheel setuptools-scm
          python3.11 -m pip install .[cuda] -r requirements-vllm-cuda.txt

      - name: Update instructlab-training library
        working-directory: ./training
        run: |
          . ../instructlab/venv/bin/activate
          pip install .
          pip install .[cuda]

      - name: Check disk
        run: |
          df -h

      - name: Run e2e test
        working-directory: ./instructlab
        env:
          HF_TOKEN: ${{ secrets.HF_TOKEN }}
        run: |
          . venv/bin/activate

          # set preserve to true so we can retain the logs
          ./scripts/e2e-ci.sh -lp

          # we know that the file will be named something like f"/training_params_and_metrics_global{os.environ['RANK']}.jsonl" in python
          # and we know that it will be written into a directory created by `mktemp -d`. 
          # Given this information, we can use the following command to find the file:
          log_file=$(find /tmp -name "training_params_and_metrics_global0.jsonl")
          mv "${log_file}" training-log.jsonl

      - name: Upload training logs
        uses: actions/upload-artifact@v4
        with:
          name: training-log.jsonl
          path: ./instructlab/training-log.jsonl
          retention-days: 1
          overwrite: true

      - name: Add comment to PR if the workflow failed
        if: failure() && steps.check_pr.outputs.is_pr == 'true'
        working-directory: ./training
        run: |
          gh pr comment "${{ steps.check_pr.outputs.pr_or_branch }}" -b "e2e workflow failed on this PR: [View run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}), please investigate."
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - name: Add comment to PR if the workflow succeeded
        if: success() && steps.check_pr.outputs.is_pr == 'true'
        working-directory: ./training
        run: |
          gh pr comment "${{ steps.check_pr.outputs.pr_or_branch }}" -b "e2e workflow succeeded on this PR: [View run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}), congrats!"
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - name: Post job results to Slack if the workflow failed
        if: failure() && steps.check_pr.outputs.is_pr == 'false'
        id: slack-report-failure
        uses: slackapi/slack-github-action@37ebaef184d7626c5f204ab8d3baff4262dd30f0 # v1.27.0
        with:
          # Slack channel id, channel name, or user id to post message.
          # See also: https://api.slack.com/methods/chat.postMessage#channels
          # You can pass in multiple channels to post to by providing a comma-delimited list of channel IDs.
          channel-id: 'e2e-ci-results'
          slack-message: "*e2e-nvidia-l40s-x4* job in *${{ github.repository }}* running on branch `${{ steps.check_pr.outputs.pr_or_branch }}` completed *with failures* :meow_sad-rain: | ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}"
        env:
          SLACK_BOT_TOKEN: ${{ secrets.SON_OF_JEEVES_TOKEN }}

      - name: Post job results to Slack if the workflow succeeded
        if: success() && steps.check_pr.outputs.is_pr == 'false'
        id: slack-report-success
        uses: slackapi/slack-github-action@37ebaef184d7626c5f204ab8d3baff4262dd30f0 # v1.27.0
        with:
          # Slack channel id, channel name, or user id to post message.
          # See also: https://api.slack.com/methods/chat.postMessage#channels
          # You can pass in multiple channels to post to by providing a comma-delimited list of channel IDs.
          channel-id: 'e2e-ci-results'
          slack-message: "*e2e-nvidia-l40s-x4* job in *${{ github.repository }}* running on branch `${{ steps.check_pr.outputs.pr_or_branch }}` completed *successfully* :meow_party: | ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}"
        env:
          SLACK_BOT_TOKEN: ${{ secrets.SON_OF_JEEVES_TOKEN }}

  stop-large-ec2-runner:
    needs:
      - start-large-ec2-runner
      - e2e-large-test
    runs-on: ubuntu-latest
    if: ${{ always() }}
    steps:
      - name: "Harden Runner"
        # v2.10.1
        uses: step-security/harden-runner@91182cccc01eb5e619899d80e4e971d6181294a7
        with:
          egress-policy: audit

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502 # v4.0.2
        with:
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: ${{ secrets.AWS_REGION }}

      - name: Stop EC2 runner
        uses: machulav/ec2-github-runner@1827d6ca7544d7044ddbd2e9360564651b463da2 # v2.3.7
        with:
          mode: stop
          github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
          label: ${{ needs.start-large-ec2-runner.outputs.label }}
          ec2-instance-id: ${{ needs.start-large-ec2-runner.outputs.ec2-instance-id }}

      - name: Download loss data
        id: download-logs
        uses: actions/download-artifact@v4
        with:
          name: training-log.jsonl
          path: downloaded-data

      - name: Install dependencies
        run: |
          pip install -r requirements-dev.txt
      
      - name: Try to upload to s3
        id: upload-s3
        continue-on-error: true
        run: |
          output_file='./test.md' 
          python scripts/create-loss-graph.py  \
            --log-file "${{ steps.download-logs.outputs.download-path }}/training-log.jsonl" \
            --output-file "${output_file}" \
            --aws-region "${{ vars.AWS_REGION }}" \
            --bucket-name "${{ vars.AWS_S3_LOSS_GRAPHS_BUCKET_NAME }}" \
            --base-branch "${{ github.event.pull_request.base.ref }}" \
            --pr-number "${{ github.event.pull_request.number }}" \
            --head-sha "${{ github.event.pull_request.head.sha }}" \
            --origin-repository "${{ github.repository }}"

      - name: Check S3 upload status
        if: steps.upload-s3.outcome == 'failure'
        run: |
          echo "::warning::Failed to upload loss graph to S3. This won't block the workflow, but you may want to investigate."
          echo "Loss graph upload failed" >> "${GITHUB_STEP_SUMMARY}"
  
          cat "${output_file}" >> "${GITHUB_STEP_SUMMARY}"