Add mlflow system metrics. #1298
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| # This workflow will install Python dependencies, run tests and lint with a single version of Python | |
| # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions | |
| name: Python application | |
| on: | |
| push: | |
| branches: [ "main", "309-from-307-dockerize-the-best-run-from-hpo-study" ] | |
| permissions: | |
| contents: read | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| # container: | |
| # image: python:33.11.9 | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Test Cerebros | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: "3.12" # "3.11" | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install flake8 pytest | |
| if [ -f requirements.txt ]; then pip install -r requirements.txt; fi | |
| if [ -f cicd-requirements.txt ]; then pip install -r cicd-requirements.txt; fi | |
| - name: Lint with flake8 | |
| run: | | |
| # stop the build if there are Python syntax errors or undefined names | |
| flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics | |
| # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide | |
| # flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics | |
| # - name: Train Cerebros Composite LLM | |
| # run: python3 temp-train-a-generative-llm.py | |
| # timeout-minutes: 45 | |
| # - name: HPO on LLM with Cerebros | |
| # run: python3 llm_train_hpo_script.py # python3 train_a_generative_llm.py | |
| # timeout-minutes: 120 | |
| # - name: Test distributed random search Ames by running | |
| # run: python3 regression-example-ames-no-preproc.py | |
| # - name: Test distributed random search Ames by running - Val set | |
| # run: python3 regression-example-ames-no-preproc-val-set.py | |
| # - name: Test image classifier - small subset of CIFAR10 # add back | |
| # timeout-minutes: 90 | |
| # run: python3 cifar10-example.py | |
| # - name: Phishing email detection with GPT2 embedding | |
| # timeout-minutes: 420 | |
| # run: python3 phishing_email_detection_gpt2.py |