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Test QuantumPhaseEstimation and associated decomp values #226
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| name: Tests::Linux::x86_64::Nvidia_GPU | |
| on: | |
| release: | |
| push: | |
| branches: | |
| - main | |
| pull_request: | |
| env: | |
| COVERAGE_FLAGS: "--cov=pennylane_lightning_kokkos --cov-report=term-missing --cov-report=xml:./coverage.xml --no-flaky-report -p no:warnings --tb=native" | |
| GCC_VERSION: 11 | |
| CI_CUDA_ARCH: 86 | |
| concurrency: | |
| group: gpu-test-${{ github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| cpptests: | |
| runs-on: | |
| - self-hosted | |
| - ubuntu-22.04 | |
| - gpu | |
| strategy: | |
| max-parallel: 1 | |
| steps: | |
| - name: Checkout PennyLane-Lightning-Kokkos | |
| uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| name: Install Python | |
| with: | |
| python-version: '3.8' | |
| # 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" >> $GITHUB_OUTPUT | |
| - name: Install required packages | |
| run: | | |
| python -m pip install ninja cmake | |
| - name: Validate GPU version and installed compiler | |
| run: | | |
| nvidia-smi | |
| /usr/local/cuda/bin/nvcc --version | |
| - name: Build and run unit tests | |
| run: | | |
| export PATH=/usr/local/cuda-11.8/bin:$PATH | |
| export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64:$LD_LIBRARY_PATH | |
| cmake . -BBuild \ | |
| -DKokkos_ENABLE_CUDA=ON \ | |
| -DKokkos_ENABLE_SERIAL=ON \ | |
| -DPLKOKKOS_BUILD_TESTS=ON \ | |
| -DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \ | |
| -G Ninja | |
| cmake --build ./Build | |
| ./Build/pennylane_lightning_kokkos/src/tests/runner_kokkos | |
| - 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: Cleanup | |
| if: always() | |
| run: | | |
| rm -rf * | |
| rm -rf .git | |
| rm -rf .gitignore | |
| rm -rf .github | |
| pythontests: | |
| runs-on: | |
| - self-hosted | |
| - ubuntu-22.04 | |
| - gpu | |
| strategy: | |
| max-parallel: 1 | |
| steps: | |
| - name: Checkout pennyLane-lightning-gpu | |
| uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| name: Install Python | |
| with: | |
| python-version: '3.8' | |
| # 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" >> $GITHUB_OUTPUT | |
| - name: Install required packages | |
| run: | | |
| python -m pip install pip~=22.3 | |
| python -m pip install ninja cmake pytest pytest-mock flaky pytest-cov wheel | |
| # Sync with latest master branches | |
| python -m pip install git+https://github.com/PennyLaneAI/pennylane.git@v0.30.0-rc0 | |
| python -m pip install --index-url https://test.pypi.org/simple/ pennylane-lightning --pre --force-reinstall --no-deps | |
| - name: Build and install package | |
| run: | | |
| export PATH=/usr/local/cuda-11.8/bin:$PATH | |
| export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64:$LD_LIBRARY_PATH | |
| CC=$(which gcc-${{ env.GCC_VERSION }}) CXX=$(which g++-${{ env.GCC_VERSION }}) BACKEND="CUDA" python -m pip install -e . --verbose | |
| - name: Run PennyLane-Lightning-Kokkos unit tests | |
| run: | | |
| python -m pytest ./tests/ ${{ env.COVERAGE_FLAGS }} | |
| pl-device-test --device lightning.kokkos --skip-ops --shots=20000 ${{ env.COVERAGE_FLAGS }} --cov-append | |
| pl-device-test --device lightning.kokkos --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 * | |
| rm -rf .git | |
| rm -rf .gitignore | |
| rm -rf .github |