Add support for using a Llama.cpp binary and model from TurnkeyML #544
Workflow file for this run
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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://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python | |
| name: Lint and Test TurnkeyML | |
| on: | |
| push: | |
| branches: ["main", "canary", "refresh"] | |
| pull_request: | |
| branches: ["main", "canary", "refresh"] | |
| permissions: | |
| contents: read | |
| jobs: | |
| build-turnkey: | |
| env: | |
| TURNKEY_TRACEBACK: True | |
| strategy: | |
| matrix: | |
| python-version: ["3.8", "3.11"] | |
| os: [ubuntu-latest, windows-latest] | |
| runs-on: ${{ matrix.os }} | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Set up Miniconda with 64-bit Python | |
| uses: conda-incubator/setup-miniconda@v3 | |
| with: | |
| miniconda-version: "latest" | |
| activate-environment: tkml | |
| python-version: ${{ matrix.python-version }} | |
| - name: Install dependencies | |
| shell: bash -el {0} | |
| run: | | |
| python -m pip install --upgrade pip | |
| conda install pylint=3.2.7 | |
| pip install pytest | |
| pip install -e plugins/devices | |
| pip install transformers timm | |
| pip install -e . # Required to test current tkml package instead of pypi version | |
| python -m pip check | |
| - name: Lint with PyLint | |
| shell: bash -el {0} | |
| run: | | |
| pylint src/turnkeyml --rcfile .pylintrc --ignore-paths src/turnkeyml/llm --jobs=1 | |
| pylint examples --rcfile .pylintrc --disable E0401,E0611 --jobs=1 | |
| - name: Test with unittest | |
| shell: bash -el {0} | |
| run: | | |
| # Unit tests | |
| python test/unit.py | |
| # turnkey examples | |
| # Note: we clear the default cache location prior to each block of example runs | |
| rm -rf ~/.cache/turnkey | |
| python examples/api/onnx_opset.py --onnx-opset 15 | |
| python examples/api/loading_a_build.py | |
| rm -rf ~/.cache/turnkey | |
| turnkey -i examples/cli/scripts/hello_world.py discover export-pytorch benchmark | |
| rm -rf ~/.cache/turnkey | |
| turnkey -i examples/cli/scripts/multiple_invocations.py discover export-pytorch benchmark | |
| rm -rf ~/.cache/turnkey | |
| turnkey -i examples/cli/scripts/max_depth.py discover --max-depth 1 export-pytorch benchmark | |
| rm -rf ~/.cache/turnkey | |
| turnkey -i examples/cli/scripts/two_models.py discover export-pytorch benchmark | |
| rm -rf ~/.cache/turnkey | |
| turnkey -i examples/cli/onnx/hello_world.onnx load-onnx benchmark | |
| # E2E tests | |
| cd test/ | |
| python cli.py | |
| python analysis.py | |
| - name: Test example plugins | |
| shell: bash -el {0} | |
| run: | | |
| rm -rf ~/.cache/turnkey | |
| pip install -e examples/cli/plugins/example_tool | |
| turnkey -i examples/cli/scripts/hello_world.py discover export-pytorch example-plugin-tool benchmark | |
| # - name: Install and Start Slurm | |
| # if: runner.os != 'Windows' | |
| # shell: bash -el {0} | |
| # run: | | |
| # sudo apt update -y | |
| # sudo apt install slurm-wlm -y | |
| # cp test/helpers/slurm.conf test/helpers/slurm_modified.conf | |
| # sed -i "s/YOUR_HOSTNAME_HERE/$HOSTNAME/" test/helpers/slurm_modified.conf | |
| # sudo mv test/helpers/slurm_modified.conf /etc/slurm/slurm.conf | |
| # sudo service slurmd start | |
| # sudo service slurmctld start | |
| # sudo service munge start | |
| # - name: Test turnkey on Slurm | |
| # if: runner.os != 'Windows' | |
| # shell: bash -el {0} | |
| # run: | | |
| # # Create conda environment for Slurm using srun (sbatch + wait) | |
| # export SKIP_REQUIREMENTS_INSTALL="True" | |
| # export TORCH_CPU="True" | |
| # srun src/turnkeyml/cli/setup_venv.sh | |
| # # Run tests on Slurm | |
| # export TURNKEY_SLURM_USE_DEFAULT_MEMORY="True" | |
| # turnkey -i models/selftest/linear.py --use-slurm --cache-dir local_cache discover export-pytorch | |
| # bash test/helpers/check_slurm_output.sh slurm-2.out | |
| # Below tests are commented out as the GitHub runner runs out of space installing the requirements | |
| # - name: Check installation of requirements.txt and their compatibility with turnkey | |
| # shell: bash -el {0} | |
| # run: | | |
| # conda create --name test-requirements python=3.8 | |
| # conda activate test-requirements | |
| # pip install -r models/requirements.txt | |
| # python -m pip check | |
| # python -c "import torch_geometric" | |
| # conda deactivate |