Release TKML v4.0.6 #590
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 -e . # Required to test current tkml package instead of pypi version | |
# tokenizers 0.20.4 seems to have an install bug, which we must avoid by limiting | |
# the transformers version | |
pip install "transformers<4.46.3" "tokenizers<0.20.4" timm | |
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 |