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Archive LGPU repo #672
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name: Tests::Linux::x86_64 | |
on: | |
workflow_call: | |
inputs: | |
lightning-gpu-version: | |
type: string | |
required: true | |
description: The version of lightning to use. Valid values are either 'stable' (most recent git-tag) or 'latest' (most recent commit from master) | |
pennylane-version: | |
type: string | |
required: true | |
description: The version of PennyLane to use. Valid values are either 'stable' (most recent git-tag) or 'latest' (most recent commit from master) | |
release: | |
push: | |
branches: | |
- main | |
pull_request: | |
env: | |
COVERAGE_FLAGS: "--cov=pennylane_lightning_gpu --cov-report=term-missing --cov-report=xml:./coverage.xml --no-flaky-report -p no:warnings --tb=native" | |
GCC_VERSION: 11 | |
OMP_NUM_THREADS: "2" | |
CI_CUDA_ARCH: 86 | |
MULTI_GPU_SUPPORT_REQUIRED: ${{ contains(github.event.pull_request.labels.*.name, 'ci:use-multi-gpu-runner') }} | |
concurrency: | |
group: gpu-test-${{ github.ref }}-${{ inputs.lightning-gpu-version }}-${{ inputs.pennylane-version }} | |
cancel-in-progress: true | |
jobs: | |
set_runs_on_values: | |
runs-on: ubuntu-latest | |
steps: | |
- name: Set GPU Label | |
id: gpu_label | |
run: | | |
if [[ "${{ env.MULTI_GPU_SUPPORT_REQUIRED }}" == "true" ]]; then | |
echo "gpu_type=multi-gpu" >> $GITHUB_OUTPUT | |
else | |
echo "gpu_type=gpu" >> $GITHUB_OUTPUT | |
fi | |
outputs: | |
gpu_type: ${{ steps.gpu_label.outputs.gpu_type }} | |
runs-on: '["self-hosted", "linux", "x64", "ubuntu-22.04", "${{ steps.gpu_label.outputs.gpu_type }}"]' | |
cpptests: | |
needs: | |
- set_runs_on_values | |
runs-on: ${{ fromJson(needs.set_runs_on_values.outputs.runs-on) }} | |
strategy: | |
max-parallel: 1 | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v3 | |
with: | |
# Checkout entire git-history if workflow_call passes 'stable' as we need to find the most recent git-tag | |
fetch-depth: ${{ inputs.lightning-gpu-version == 'stable' && 0 || 1 }} | |
- name: Switch to stable build of Lightning-GPU | |
if: inputs.lightning-gpu-version == 'stable' | |
run: git checkout $(git tag | sort -V | tail -1) | |
- uses: actions/setup-python@v4 | |
id: setup_python | |
name: Install Python | |
with: | |
python-version: '3.9' | |
# Since the self-hosted runner can be re-used. It is best to set up all package | |
# installations in a virtual environment that gets cleaned at the end of each workflow run | |
- name: Setup Python virtual environment | |
id: setup_venv | |
env: | |
VENV_NAME: ${{ github.workspace }}/venv_${{ steps.setup_python.outputs.python-version }}_${{ github.sha }} | |
run: | | |
# Clear any pre-existing venvs | |
rm -rf venv_* | |
# Create new venv for this workflow_run | |
python --version | |
python -m venv ${{ env.VENV_NAME }} | |
# Add the venv to PATH for subsequent steps | |
echo ${{ env.VENV_NAME }}/bin >> $GITHUB_PATH | |
# Adding venv name as an output for subsequent steps to reference if needed | |
echo "venv_name=${{ env.VENV_NAME }}" >> $GITHUB_OUTPUT | |
- name: Display Python-Path | |
id: python_path | |
run: | | |
py_path=$(which python) | |
echo "Python Interpreter Path => $py_path" | |
echo "python=$py_path" >> $GITHUB_OUTPUT | |
pip_path=$(which python) | |
echo "PIP Path => $pip_path" | |
echo "pip=$pip_path" >> $GITHUB_OUTPUT | |
- name: Install required packages | |
run: | | |
python -m pip install ninja cmake custatevec-cu11 | |
- name: Validate GPU version and installed compiler | |
run: | | |
nvidia-smi | |
/usr/local/cuda/bin/nvcc --version | |
- name: Validate Multi-GPU packages | |
if: needs.set_runs_on_values.outputs.gpu_type == 'multi-gpu' | |
run: | | |
source /etc/profile.d/modules.sh | |
module use /opt/modules/ | |
echo 'Checking for OpenMPI' | |
module load openmpi | |
mpirun --version | |
module unload openmpi | |
echo 'Checking for MPICH' | |
module load mpich | |
mpiexec --version | |
module unload mpich | |
- name: Install Latest PennyLane | |
if: inputs.pennylane-version == 'latest' | |
run: python -m pip install git+https://github.com/PennyLaneAI/pennylane.git@master | |
- name: Build and run unit tests | |
run: | | |
cmake . -BBuild \ | |
-DCMAKE_BUILD_TYPE=RelWithDebInfo \ | |
-DPLLGPU_BUILD_TESTS=ON \ | |
-DCMAKE_CXX_COMPILER="$(which g++-${{ env.GCC_VERSION }})" \ | |
-DLIGHTNING_RELEASE_TAG="master" \ | |
-DCMAKE_CUDA_COMPILER="/usr/local/cuda/bin/nvcc" \ | |
-DCMAKE_CUDA_ARCHITECTURES="86" \ | |
-DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \ | |
-G Ninja | |
cmake --build ./Build | |
cd ./Build | |
mkdir -p ./tests/results | |
./pennylane_lightning_gpu/src/tests/runner_gpu --order lex --reporter junit --out ./tests/results/report_${{ github.job }}.xml | |
- name: Upload test results | |
uses: actions/upload-artifact@v3 | |
if: always() | |
with: | |
name: ubuntu-tests-reports | |
path: ./Build/tests/results/report_${{ github.job }}.xml | |
- name: Build and run unit tests for code coverage | |
run: | | |
cmake . -BBuildCov \ | |
-DCMAKE_BUILD_TYPE=Debug \ | |
-DPLLGPU_BUILD_TESTS=ON \ | |
-DPLLGPU_ENABLE_COVERAGE=ON \ | |
-DCMAKE_CXX_COMPILER="$(which g++-${{ env.GCC_VERSION }})" \ | |
-DLIGHTNING_RELEASE_TAG="master" \ | |
-DCMAKE_CUDA_COMPILER="/usr/local/cuda/bin/nvcc" \ | |
-DCMAKE_CUDA_ARCHITECTURES="86" \ | |
-DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \ | |
-G Ninja | |
cmake --build ./BuildCov | |
cd ./BuildCov | |
./pennylane_lightning_gpu/src/tests/runner_gpu | |
lcov --directory . -b ../pennylane_lightning_gpu/src --capture --output-file coverage.info | |
lcov --remove coverage.info '/usr/*' --output-file coverage.info | |
mv coverage.info coverage-${{ github.job }}.info | |
- name: Upload code coverage results | |
uses: actions/upload-artifact@v3 | |
with: | |
name: ubuntu-codecov-results-cpp | |
path: ./BuildCov/coverage-${{ github.job }}.info | |
- name: Cleanup | |
if: always() | |
run: | | |
rm -rf ${{ steps.setup_venv.outputs.venv_name }} | |
rm -rf * | |
rm -rf .git | |
rm -rf .gitignore | |
rm -rf .github | |
pip cache purge | |
pythontests: | |
needs: | |
- set_runs_on_values | |
runs-on: ${{ fromJson(needs.set_runs_on_values.outputs.runs-on) }} | |
strategy: | |
max-parallel: 1 | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v3 | |
with: | |
# Checkout entire git-history if workflow_call passes 'stable' as we need to find the most recent git-tag | |
fetch-depth: ${{ inputs.lightning-gpu-version == 'stable' && 0 || 1 }} | |
- name: Switch to stable build of Lightning-GPU | |
if: inputs.lightning-gpu-version == 'stable' | |
run: git checkout $(git tag | sort -V | tail -1) | |
- uses: actions/setup-python@v4 | |
id: setup_python | |
name: Install Python | |
with: | |
python-version: '3.9' | |
# Since the self-hosted runner can be re-used. It is best to set up all package | |
# installations in a virtual environment that gets cleaned at the end of each workflow run | |
- name: Setup Python virtual environment | |
id: setup_venv | |
env: | |
VENV_NAME: ${{ github.workspace }}/venv_${{ steps.setup_python.outputs.python-version }}_${{ github.sha }} | |
run: | | |
# Clear any pre-existing venvs | |
rm -rf venv_* | |
# Create new venv for this workflow_run | |
python --version | |
python -m venv ${{ env.VENV_NAME }} | |
# Add the venv to PATH for subsequent steps | |
echo ${{ env.VENV_NAME }}/bin >> $GITHUB_PATH | |
# Adding venv name as an output for subsequent steps to reference if needed | |
source ${{ env.VENV_NAME }}/bin/activate | |
echo "venv_name=${{ env.VENV_NAME }}" >> $GITHUB_OUTPUT | |
- name: Display Python-Path | |
id: python_path | |
run: | | |
py_path=$(which python) | |
echo "Python Interpreter Path => $py_path" | |
echo "python=$py_path" >> $GITHUB_OUTPUT | |
pip_path=$(which python) | |
echo "PIP Path => $pip_path" | |
echo "pip=$pip_path" >> $GITHUB_OUTPUT | |
- name: Install Latest PennyLane | |
# We want to install the latest PL on non workflow_call events | |
if: inputs.pennylane-version == 'latest' || inputs.pennylane-version == '' | |
run: python -m pip install git+https://github.com/PennyLaneAI/pennylane.git@master | |
- name: Install required packages | |
run: | | |
python -m pip install pip~=22.0 | |
python -m pip install ninja cmake custatevec-cu11 pytest pytest-mock flaky pytest-cov | |
# Sync with latest master branches | |
python -m pip install git+https://github.com/PennyLaneAI/pennylane-lightning.git@master --force-reinstall --no-deps | |
- name: Build and install package | |
env: | |
CUQUANTUM_SDK: $(python -c "import site; print( f'{site.getsitepackages()[0]}/cuquantum/lib')") | |
run: | | |
python setup.py build_ext -i --define="CMAKE_CXX_COMPILER=$(which g++-${{ env.GCC_VERSION }});LIGHTNING_RELEASE_TAG=master;CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc;CMAKE_CUDA_ARCHITECTURES=${{ env.CI_CUDA_ARCH }};Python_EXECUTABLE=${{ steps.python_path.outputs.python }}" | |
python -m pip install -e . --verbose | |
- name: Run PennyLane-Lightning-GPU unit tests | |
run: | | |
python -m pytest ./tests/ ${{ env.COVERAGE_FLAGS }} | |
pl-device-test --device lightning.gpu --skip-ops --shots=20000 ${{ env.COVERAGE_FLAGS }} --cov-append | |
pl-device-test --device lightning.gpu --shots=None --skip-ops ${{ env.COVERAGE_FLAGS }} --cov-append | |
mv coverage.xml coverage-${{ github.job }}.xml | |
- name: Upload code coverage results | |
uses: actions/upload-artifact@v3 | |
with: | |
name: ubuntu-codecov-results-python | |
path: ./coverage-${{ github.job }}.xml | |
- name: Cleanup | |
if: always() | |
run: | | |
rm -rf ${{ steps.setup_venv.outputs.venv_name }} | |
rm -rf * | |
rm -rf .git | |
rm -rf .gitignore | |
rm -rf .github | |
pip cache purge |