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Added pickle support for lightning.gpu device's DevPool attribute #286

Added pickle support for lightning.gpu device's DevPool attribute

Added pickle support for lightning.gpu device's DevPool attribute #286

name: Testing::Linux::x86_64::MPSTNCuda::Python
# TODO remove MPS from the workflow name and the workflow filename once exact is in.
# TODO remove the `pl_tensor_method` once exact TN is added.
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)
release:
pull_request:
paths-ignore:
- .github/**
- '!.github/workflows/tests_lmps_tncuda_python.yml'
- pennylane_lightning/core/src/simulators/lightning_kokkos/**
- pennylane_lightning/core/src/simulators/lightning_qubit/**
- pennylane_lightning/core/src/simulators/lightning_gpu/**
- pennylane_lightning/core/_version.py
- pennylane_lightning/lightning_gpu/**
- pennylane_lightning/lightning_qubit/**
- pennylane_lightning/lightning_kokkos/**
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
concurrency:
group: tests_lmps_tncuda_python-${{ github.ref }}-${{ github.event }}-${{ inputs.lightning-version }}-${{ inputs.pennylane-version }}
cancel-in-progress: true
jobs:
builddeps:
runs-on:
- self-hosted
- ubuntu-22.04
- gpu
strategy:
max-parallel: 1
matrix:
os: [ubuntu-22.04]
pl_backend: ["lightning_tensor"]
cuda_version: ["12"]
steps:
- name: Validate GPU version and installed compiler
run: |
source /etc/profile.d/modules.sh
module use /opt/modules
module load cuda/${{ matrix.cuda_version }}
echo "${PATH}" >> $GITHUB_PATH
echo "LD_LIBRARY_PATH=${LD_LIBRARY_PATH}" >> $GITHUB_ENV
nvcc --version
nvidia-smi
pythontestswithMPSTNCuda:
if: ${{ !contains(fromJSON('["schedule", "workflow_dispatch"]'), github.event_name) }}
needs: [builddeps]
strategy:
matrix:
os: [ubuntu-22.04]
pl_backend: ["lightning_tensor"]
default_backend: ["lightning_qubit"]
pl_tensor_method: ["mps"]
pl_tensor_backend: ["cutensornet"]
cuda_version: ["12"]
name: Python Tests (${{ matrix.pl_backend }}, method-${{ matrix.pl_tensor_method }}, backend-${{ matrix.pl_tensor_backend }}, cuda-${{ matrix.cuda_version }})
runs-on:
- ${{ matrix.os }}
- self-hosted
- gpu
steps:
- name: Validate GPU version and installed compiler
run: |
source /etc/profile.d/modules.sh
module use /opt/modules
module load cuda/${{ matrix.cuda_version }}
echo "${PATH}" >> $GITHUB_PATH
echo "LD_LIBRARY_PATH=${LD_LIBRARY_PATH}" >> $GITHUB_ENV
nvcc --version
nvidia-smi
- name: Checkout PennyLane-Lightning-Tensor-MPS-TNCuda
uses: actions/checkout@v4
with:
path: main
- uses: actions/setup-python@v5
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
echo "PIP Path => $py_path"
echo "pip=$py_path" >> $GITHUB_OUTPUT
- name: Install required packages
run: |
cd main
python -m pip install -r requirements-dev.txt
python -m pip install ninja cmake scipy custatevec-cu${{ matrix.cuda_version }} cutensornet-cu${{ matrix.cuda_version }} openfermionpyscf
- name: Checkout PennyLane for release build
if: inputs.pennylane-version == 'release'
uses: actions/checkout@v4
with:
path: pennylane
repository: PennyLaneAI/pennylane
- name: Switch to release build of PennyLane
if: inputs.pennylane-version == 'release'
run: |
cd pennylane
git fetch --all
git checkout $(git branch -a --list "origin/v*rc*" | tail -1)
python -m pip uninstall -y pennylane && python -m pip install . -vv --no-deps
- name: Install Stable PennyLane
if: inputs.pennylane-version == 'stable'
run: |
cd main
python -m pip uninstall -y pennylane && python -m pip install -U pennylane
- name: Build and install package
run: |
cd main
rm -rf build
CMAKE_ARGS="-DPL_BACKEND=${{ matrix.default_backend }} -DCMAKE_CXX_COMPILER=$(which g++-$GCC_VERSION)" \
python -m pip install . -vv
rm -rf build
rm -rf build
CMAKE_ARGS="-DPL_BACKEND=${{ matrix.pl_backend }} -DCMAKE_CXX_COMPILER=$(which g++-$GCC_VERSION)" \
python -m pip install . -vv
- name: Run PennyLane-Lightning-Tensor unit tests
if: ${{ matrix.pl_backend != 'all'}}
run: |
cd main/
DEVICENAME=`echo ${{ matrix.pl_backend }} | sed "s/_/./g"`
PL_DEVICE=${DEVICENAME} python -m pytest tests $COVERAGE_FLAGS
mv coverage.xml coverage-${{ github.job }}-${{ matrix.pl_backend }}.xml
- name: Upload code coverage results
uses: actions/upload-artifact@v3
with:
name: ubuntu-codecov-results-python
path: ./main/coverage-${{ github.job }}-${{ matrix.pl_backend }}.xml
if-no-files-found: error
upload-to-codecov-linux-python:
needs: [pythontestswithMPSTNCuda]
name: Upload coverage data to codecov
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Download coverage reports
uses: actions/download-artifact@v3
with:
name: ubuntu-codecov-results-python
- name: Upload to Codecov
uses: codecov/codecov-action@v4
with:
fail_ci_if_error: true
verbose: true
token: ${{ secrets.CODECOV_TOKEN }}