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on merging pull request created by "cml pr" triger CI again

See original GitHub issue

I’m using this GitHub action for model training and some report generation. After training is complete it creates a PR with the required files with this command cml pr --skip-ci train_outputs/final-model.pt.dvc dvc.lock report.md evaluation.json And it creates an autogenerated PR like (main-cml-pr-4c32c5a9)) with I merge it with the main brain it triggers a new GitHub action. Is there anything I’m missing?

name: NER Model CI [dev]

on:
  push:
    branches:
      - 'main'

jobs:
  deploy-runner:
    runs-on: ubuntu-20.04
    steps:
      - uses: iterative/setup-cml@v1
      - uses: actions/checkout@v2
      - name: 'Authenticate to Google Cloud'
        uses: 'google-github-actions/auth@v0'
        with:
          credentials_json: ${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }}
      - name: Deploy runner on GCP
        env:
          REPO_TOKEN: ${{ secrets.REPO_ACCESS_TOKEN }}
        run: |
          cml runner \
              --cloud=gcp \
              --cloud-region=us-central1-a \
              --cloud-type=n1-standard-2 \
              --labels=gpu_runner \
              --single=true \
              --cloud-gpu=nvidia-tesla-t4 \
              --cloud-spot=false \
              --cloud-hdd-size=128

  training:
    name: Training and Reporting
    needs:
      - deploy-runner
    runs-on: [self-hosted, gpu_runner]
    steps:
      - uses: actions/checkout@v2
      - uses: iterative/setup-cml@v1
      - uses: iterative/setup-dvc@v1
      - uses: actions/setup-python@v2
        with:
          python-version: '3.8'
      - name: 'Authenticate to Google Cloud'
        uses: 'google-github-actions/auth@v0'
        with:
          credentials_json: ${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }}
      - name: 'Install requirements'
        run: |
             pip install -r requirements.txt
      - name: Training
        env:
          repo_token: ${{ secrets.REPO_ACCESS_TOKEN }}
        run: |
          # Pull dataset with DVC
          dvc pull data

          # Reproduce pipeline if any changes detected in dependencies
          dvc repro

          # Upload model go GCS bucket
          ls -al train_outputs
          git status
          dvc add train_outputs/final-model.pt
          dvc push train_outputs/final-model.pt -r gcs_model_store
      - name: Create report
        env:
          repo_token: ${{ secrets.REPO_ACCESS_TOKEN }}
        run: |
          ls train_outputs/*

          CODEBLOCK_START="\`\`\`sh"
          CODEBLOCK_END="\`\`\`"

          echo "## NER report" > report.md

          echo "### Loss" >> report.md
          echo $CODEBLOCK_START >> report.md
          cat train_outputs/loss.tsv >> report.md
          printf "\n" >> report.md
          echo $CODEBLOCK_END >> report.md
          printf "\n" >> report.md

          echo "### Training logs" >> report.md
          echo $CODEBLOCK_START >> report.md
          cat train_outputs/training.log >> report.md
          echo $CODEBLOCK_END >> report.md
          printf "\n" >> report.md

          cml pr --skip-ci train_outputs/final-model.pt.dvc dvc.lock report.md evaluation.json