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tests_lkcuda_python.yml
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name: Testing::x86_64::LKokkos::CUDA::Python
on:
workflow_call:
inputs:
lightning-version:
type: string
required: true
description: The version of Lightning to use. Valid values are either 'release' (most recent release candidate), '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 'release' (most recent release candidate), 'stable' (most recent git-tag) or 'latest' (most recent commit from master)
pull_request:
types:
- opened
- reopened
- synchronize
- ready_for_review
paths-ignore:
- .github/**
- '!.github/workflows/tests_lkcuda_python.yml'
- pennylane_lightning/core/_version.py
- pennylane_lightning/core/src/simulators/lightning_gpu/**
- pennylane_lightning/core/src/simulators/lightning_qubit/**
- pennylane_lightning/core/src/simulators/lightning_tensor/**
- pennylane_lightning/lightning_gpu/**
- pennylane_lightning/lightning_qubit/**
- pennylane_lightning/lightning_tensor/**
push:
branches:
- master
env:
CI_CUDA_ARCH: 86
COVERAGE_FLAGS: "--cov=pennylane_lightning --cov-report=term-missing --cov-report=xml:./coverage.xml --no-flaky-report -p no:warnings --tb=native"
GCC_VERSION: 11
TF_VERSION: 2.10.0
TORCH_VERSION: 1.11.0+cpu
concurrency:
group: tests_lkcuda_python-${{ github.ref }}-${{ github.event_name }}-${{ inputs.lightning-version }}-${{ inputs.pennylane-version }}
cancel-in-progress: true
jobs:
builddeps:
if: ${{ github.event_name != 'pull_request' || (github.event.pull_request.draft == false && contains(github.event.pull_request.labels.*.name, 'ci:use-gpu-runner')) }}
runs-on:
- self-hosted
- ubuntu-22.04
- gpu
strategy:
max-parallel: 1
matrix:
os: [ubuntu-22.04]
exec_model: ["CUDA"]
kokkos_version: ["4.3.01"]
steps:
- name: Validate GPU version and installed compiler
run: |
source /etc/profile.d/modules.sh
module use /opt/modules
module load cuda/12.2
echo "${PATH}" >> $GITHUB_PATH
echo "LD_LIBRARY_PATH=${LD_LIBRARY_PATH}" >> $GITHUB_ENV
nvcc --version
nvidia-smi
- name: Clone Kokkos repository
run: |
rm -rf kokkos_${{ matrix.exec_model }}
git clone --branch ${{ matrix.kokkos_version }} https://github.com/kokkos/kokkos.git kokkos_${{ matrix.exec_model }}
pushd . &> /dev/null
- name: Build Kokkos core library (Ubuntu)
run: |
rm -rf ${{ github.workspace }}/Kokkos_install/${{ matrix.exec_model }}
mkdir -p ${{ github.workspace }}/Kokkos_install/${{ matrix.exec_model }}
cd kokkos_${{ matrix.exec_model }}
cmake -BBuild . -DCMAKE_INSTALL_PREFIX=${{ github.workspace }}/Kokkos_install/${{ matrix.exec_model }} \
-DKokkos_ENABLE_COMPLEX_ALIGN=OFF \
-DKokkos_ENABLE_SERIAL=ON \
-DKokkos_ENABLE_${{ matrix.exec_model }}=ON \
-DKokkos_ENABLE_DEPRECATION_WARNINGS=OFF \
-DCMAKE_CXX_COMPILER="$(which g++-$GCC_VERSION)" \
-DCMAKE_CXX_STANDARD=20 \
-DCMAKE_POSITION_INDEPENDENT_CODE=ON \
-G Ninja
cmake --build ./Build --verbose
cmake --install ./Build
cd -
- name: Test Kokkos core library (Ubuntu)
env:
CMAKE_PREFIX_PATH: ${{ github.workspace }}/Kokkos_install/${{ matrix.exec_model }}
run: |
sudo apt-get update && sudo apt-get -y -q install gfortran-$GCC_VERSION
cd kokkos_${{ matrix.exec_model }}/example/build_cmake_installed
which -a gfortran || which -a gfortran-$GCC_VERSION
cmake -B build -DCMAKE_Fortran_COMPILER=gfortran-$GCC_VERSION
cmake --build build
cmake --build build --target test
- name: Cache installation directories
id: kokkos-cache
uses: actions/cache/save@v4
with:
key: ${{ matrix.os }}-kokkos${{ matrix.kokkos_version }}-${{ matrix.exec_model }}
path: ${{ github.workspace }}/Kokkos_install/${{ matrix.exec_model }}
retention-days: 1
pythontestswithKokkos:
needs: [builddeps]
strategy:
matrix:
os: [ubuntu-22.04]
pl_backend: ["lightning_kokkos", "all"]
exec_model: ["CUDA"]
kokkos_version: ["4.3.01"]
name: Python Tests (${{ matrix.pl_backend }}, kokkos-${{ matrix.kokkos_version }}, model-${{ matrix.exec_model }})
runs-on:
- ${{ matrix.os }}
- self-hosted
- gpu
steps:
- name: Validate GPU version and installed compiler
run: |
source /etc/profile.d/modules.sh
module use /opt/modules
module load cuda/12.2
echo "${PATH}" >> $GITHUB_PATH
echo "LD_LIBRARY_PATH=${LD_LIBRARY_PATH}" >> $GITHUB_ENV
nvcc --version
nvidia-smi
- name: Restoring cached dependencies
id: kokkos-cache
uses: actions/cache/restore@v4
with:
path: ${{ github.workspace }}/Kokkos_install/${{ matrix.exec_model }}
key: ${{ matrix.os }}-kokkos${{ matrix.kokkos_version }}-${{ matrix.exec_model }}
restore-keys: ${{ matrix.os }}-kokkos${{ matrix.kokkos_version }}-${{ matrix.exec_model }}
- name: Copy cached libraries
run: |
mkdir -p ${{ github.workspace }}/Kokkos
ls -ltrh
cp -r ${{ github.workspace }}/Kokkos_install/${{ matrix.exec_model }}/* ${{ github.workspace }}/Kokkos
- name: Checkout PennyLane-Lightning
uses: actions/checkout@v4
with:
path: main
fetch-tags: true
- name: Switch to release build of Lightning
if: inputs.lightning-version == 'release'
run: |
cd main
git fetch --all
git checkout $(git branch -a --list "origin/v0.*rc*" | sort | tail -1)
- name: Switch to stable build of Lightning
if: inputs.lightning-version == 'stable'
run: |
cd main
git fetch --tags --force
git checkout latest_release
git log -1 --format='%H'
git status
- uses: actions/setup-python@v5
name: Install Python
with:
python-version: '3.10'
# 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 }}" >> $GITHUB_OUTPUT
echo "Python_ROOT_DIR=${{ env.VENV_NAME }}" >> $GITHUB_ENV
echo "Python3_ROOT_DIR=${{ env.VENV_NAME }}" >> $GITHUB_ENV
# Adding venv site-packages to output for subsequent step to referecen if needed
echo "site_packages_dir=$(${{ env.VENV_NAME }}/bin/python -c 'import sysconfig; print(sysconfig.get_path("platlib"))')" >> $GITHUB_OUTPUT
- name: Install dependencies
run: sudo apt-get update && sudo apt-get -y -q install cmake gcc-$GCC_VERSION g++-$GCC_VERSION
- name: Get required Python packages
run: |
cd main
python -m pip install -r requirements-dev.txt
python -m pip install openfermionpyscf
- name: Checkout PennyLane for release or latest build
if: inputs.pennylane-version == 'release' || inputs.pennylane-version == 'latest'
uses: actions/checkout@v4
with:
path: pennylane
repository: PennyLaneAI/pennylane
- name: Switch to latest build of PennyLane
if: inputs.pennylane-version == 'latest'
run: |
cd pennylane
git checkout master
python -m pip uninstall -y pennylane && python -m pip install . -vv --no-deps
- name: Switch to release build of PennyLane
if: inputs.pennylane-version == 'release'
run: |
cd pennylane
git fetch --all
git checkout $(git branch -a --list "origin/v0.*rc*" | sort | tail -1)
python -m pip uninstall -y pennylane && python -m pip install . -vv --no-deps
- name: Install Stable PennyLane
if: inputs.pennylane-version == 'stable'
run: |
cd main
python -m pip uninstall -y pennylane && python -m pip install -U pennylane
- name: Install ML libraries for interfaces
run: |
python -m pip install --upgrade torch==$TORCH_VERSION -f https://download.pytorch.org/whl/cpu/torch_stable.html
python -m pip install --upgrade "jax[cpu]" # This also installs jaxlib
python -m pip install --upgrade tensorflow~=$TF_VERSION keras~=$TF_VERSION
- name: Install backend device
if: ${{ matrix.pl_backend != 'all'}}
run: |
ls -l ${{ github.workspace }}/Kokkos
cd main
PL_BACKEND=lightning_qubit python scripts/configure_pyproject_toml.py || true
PL_BACKEND=lightning_qubit SKIP_COMPILATION=True python -m pip install . -vv
PL_BACKEND=${{ matrix.pl_backend }} python scripts/configure_pyproject_toml.py || true
PL_BACKEND=${{ matrix.pl_backend }} CMAKE_ARGS="-DCMAKE_PREFIX_PATH=${{ github.workspace }}/Kokkos" \
python -m pip install . -vv
- name: Run PennyLane-Lightning unit tests
if: ${{ matrix.pl_backend != 'all'}}
env:
OMP_NUM_THREADS: 1
OMP_PROC_BIND: false
run: |
cd main/
DEVICENAME=`echo ${{ matrix.pl_backend }} | sed "s/_/./g"`
PL_DEVICE=${DEVICENAME} python -m pytest tests/ -k "not test_native_mcm" $COVERAGE_FLAGS
pl-device-test --device ${DEVICENAME} --skip-ops --shots=20000 $COVERAGE_FLAGS --cov-append
pl-device-test --device ${DEVICENAME} --shots=None --skip-ops $COVERAGE_FLAGS --cov-append
mv coverage.xml coverage-${{ github.job }}-${{ matrix.pl_backend }}.xml
- name: Install all backend devices
if: ${{ matrix.pl_backend == 'all' }}
run: |
cd main
PL_BACKEND=lightning_qubit python scripts/configure_pyproject_toml.py || true
PL_BACKEND=lightning_qubit python -m pip install . -vv
PL_BACKEND="lightning_kokkos" python scripts/configure_pyproject_toml.py || true
PL_BACKEND="lightning_kokkos" CMAKE_ARGS="-DCMAKE_PREFIX_PATH=${{ github.workspace }}/Kokkos" python -m pip install . -vv
- name: Run PennyLane-Lightning unit tests for lightning.qubit with all devices installed
if: ${{ matrix.pl_backend == 'all' }}
env:
OMP_NUM_THREADS: 1
OMP_PROC_BIND: false
run: |
cd main/
for device in lightning.qubit lightning.kokkos; do
pl-device-test --device ${device} --skip-ops --shots=20000 $COVERAGE_FLAGS --cov-append
pl-device-test --device ${device} --shots=None --skip-ops $COVERAGE_FLAGS --cov-append
done
mv coverage.xml coverage-${{ github.job }}-${{ matrix.pl_backend }}.xml
- name: Upload code coverage results
uses: actions/upload-artifact@v4
with:
name: ubuntu-codecov-results-python-${{ matrix.pl_backend }}
path: ./main/coverage-${{ github.job }}-${{ matrix.pl_backend }}.xml
retention-days: 1
if-no-files-found: error
include-hidden-files: true