FEA ridge benchmarks #106
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name: Run CPU benchmarks on a few data sample | |
on: | |
pull_request: | |
push: { branches: main } | |
schedule: | |
- cron: '00 00 * * 1' | |
env: | |
_SCIKIT_LEARN_COMMIT: 2ccfc8c4bdf66db005d7681757b4145842944fb9 | |
_SKLEARN_NUMBA_DPEX_COMMIT: e7a9c6da4bc16bbaf82a3a6e461decd209e2c910 | |
_SKLEARN_PYTORCH_ENGINE_COMMIT: e962dea262ba4d6e9873fced395e815a02a17fd0 | |
_KMEANS_DPCPP_COMMIT: dceaa6418463c7921ba56dfcc80e3aeda0bcd5c3 | |
_BENCHOPT_VERSION: ==1.5.1 | |
_ONEAPI_INSTALLER_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/992857b9-624c-45de-9701-f6445d845359 | |
_ONEAPI_INSTALL_BINARY_NAME: l_BaseKit_p_2023.2.0.49397.sh | |
_ONEAPI_COMPONENTS: "intel.oneapi.lin.dpcpp-cpp-compiler:intel.oneapi.lin.mkl.devel" | |
# TODO: setup runners with compatible gpus and also test gpu benchmarks | |
jobs: | |
build_scikit_learn: | |
name: Build scikit-learn | |
runs-on: ubuntu-latest | |
container: jjerphan/numba_dpex_dev:latest | |
steps: | |
- name: Cache scikit-learn wheel | |
id: wheels-cache | |
uses: actions/cache@v3 | |
with: | |
path: scikit-learn/dist/ | |
key: sklearn-${{ env._SCIKIT_LEARN_COMMIT}} | |
- if: ${{ steps.wheels-cache.outputs.cache-hit != 'true' }} | |
name: Build scikit-learn | |
run: | | |
apt-get update --quiet | |
apt-get install -y build-essential python3-dev | |
pip install cython numpy scipy joblib threadpoolctl build wheel | |
git clone https://github.com/scikit-learn/scikit-learn.git -b "feature/engine-api" | |
cd scikit-learn | |
git checkout $_SCIKIT_LEARN_COMMIT | |
python setup.py bdist_wheel | |
- name: Upload wheels | |
uses: actions/upload-artifact@v3 | |
with: | |
name: binaries | |
path: scikit-learn*/dist/ | |
retention-days: 14 | |
build_kmeans_dpcpp: | |
name: Build kmeans_dpcpp | |
runs-on: ubuntu-latest | |
container: jjerphan/numba_dpex_dev:latest | |
steps: | |
- name: Cache kmeans_dpcpp build | |
id: kmeans-dpcpp-cache | |
uses: actions/cache@v3 | |
with: | |
path: kmeans_dpcpp/ | |
key: kmeans-dpcpp-${{ env._KMEANS_DPCPP_COMMIT}} | |
- if: ${{ steps.kmeans-dpcpp-cache.outputs.cache-hit != 'true' }} | |
name: Install build pre-requisites | |
run: | | |
apt-get update --quiet | |
apt-get install -y --no-install-recommends gawk | |
pip install cmake ninja packaging setuptools distro scikit-build numpy | |
- if: ${{ steps.kmeans-dpcpp-cache.outputs.cache-hit != 'true' }} | |
name: Install necessary oneapi basekit components | |
run: | | |
mkdir -p ./opt/intel/oneapi $RUNNER_TEMP/intel/cache $RUNNER_TEMP/intel/download $RUNNER_TEMP/intel/log | |
wget -P $RUNNER_TEMP/intel/download $_ONEAPI_INSTALLER_URL/$_ONEAPI_INSTALL_BINARY_NAME | |
chmod +x $RUNNER_TEMP/intel/download/$_ONEAPI_INSTALL_BINARY_NAME | |
$RUNNER_TEMP/intel/download/$_ONEAPI_INSTALL_BINARY_NAME -a -s --eula accept \ | |
--action install --components $_ONEAPI_COMPONENTS \ | |
--install-dir ./opt/intel/oneapi --log-dir $RUNNER_TEMP/intel/log \ | |
--download-cache $RUNNER_TEMP/intel/cache \ | |
# HACK: `kmeans_dpcpp` packaging is broken, just run `develop` to build the | |
# C++ extensions, then later on add it explicitly to PYTHONPATH | |
- if: ${{ steps.kmeans-dpcpp-cache.outputs.cache-hit != 'true' }} | |
name: build kmeans_dpcpp | |
shell: bash | |
run: | | |
source ./opt/intel/oneapi/setvars.sh | |
git clone https://github.com/oleksandr-pavlyk/kmeans_dpcpp.git -b main | |
cd kmeans_dpcpp | |
git checkout $_KMEANS_DPCPP_COMMIT | |
python setup.py develop -- -DCMAKE_CXX_COMPILER:PATH=$(which icpx) -DDPCTL_MODULE_PATH=$(python -m dpctl --cmakedir) | |
- name: Upload kmeans_dpcpp build files | |
uses: actions/upload-artifact@v3 | |
with: | |
name: binaries | |
path: kmeans_dpcpp*/ | |
retention-days: 14 | |
run_benchmarks_on_cpu: | |
name: Run benchmarks | |
needs: [build_scikit_learn, build_kmeans_dpcpp] | |
runs-on: ubuntu-latest | |
container: jjerphan/numba_dpex_dev:latest | |
steps: | |
- name: Checkout code | |
uses: actions/checkout@v3 | |
- name: download scikit-learn wheel | |
uses: actions/download-artifact@v3 | |
with: | |
name: binaries | |
# TODO: instead of installing all dependencies of all solvers in the same | |
# environment, might be more cautious to have one solver per environment ? | |
- name: install all dependencies | |
run: | | |
git clone https://github.com/soda-inria/sklearn-numba-dpex.git -b main | |
cd sklearn-numba-dpex | |
git checkout $_SKLEARN_NUMBA_DPEX_COMMIT | |
cd ../ | |
git clone https://github.com/soda-inria/sklearn-pytorch-engine.git -b main | |
cd sklearn-pytorch-engine | |
git checkout $_SKLEARN_PYTORCH_ENGINE_COMMIT | |
cd ../ | |
# TODO: it seems that non-editable install of sklearn-numba-dpex doesn't work ? | |
# Fix and update the install command here to avoid having to git clone manually | |
pip install ./scikit-learn/dist/*.whl scikit-learn-intelex -e ./sklearn-numba-dpex/ -e ./sklearn-pytorch-engine benchopt${_BENCHOPT_VERSION} | |
pip install torch --index-url https://download.pytorch.org/whl/cpu | |
- name: Check oneapi default device | |
run: python -c "import dpctl; dpctl.select_default_device().print_device_info()" | |
- name: Run benchmarks | |
run: | | |
cd benchmarks/kmeans | |
PYTHONPATH=$PYTHONPATH:$(realpath ../../kmeans_dpcpp/) benchopt run --no-plot -l -d Simulated_correlated_data[n_samples=1000,n_features=14] | |
cd ../pca | |
benchopt run --no-plot -l -d Simulated_correlated_data[n_samples=100,n_features=100] | |
cd ../ridge | |
benchopt run --no-plot -l -d Simulated_correlated_data[n_samples=100,n_features=100,n_targets=2] |