Add CI pipeline for NVIDIA GPUs #7

	name: Linux NVIDIA GPU tests

	on:
	push:
	branches:
	- main
	paths:
	- "quanto/**"
	- "test/**"
	- "pyproject.toml"
	- "setup.py"
	pull_request:
	types: [assigned, opened, synchronize, reopened]
	paths:
	- "quanto/**"
	- "test/**"
	- "pyproject.toml"
	- "setup.py"

	jobs:
	conventional-commits:
	uses: ./.github/workflows/conventional-commits.yml
	python-quality:
	uses: ./.github/workflows/python-quality.yml
	test-ubuntu:
	needs: [conventional-commits, python-quality]
	runs-on: [self-hosted, single-gpu , nvidia-gpu, a10, ci]
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.11"]

	steps:
	- uses: actions/checkout@v2
	- uses: Jimver/[email protected]
	id: cuda-toolkit
	with:
	cuda: '12.3.2'
	- run: \|
	echo "Installed cuda version is: ${{steps.cuda-toolkit.outputs.cuda}}"
	echo "Cuda install location: ${{steps.cuda-toolkit.outputs.CUDA_PATH}}"
	nvcc -V
	- name: Install CUDA Toolkit
	shell: bash
	run: \|
	wget --progress=bar:force:noscroll https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
	sudo sh cuda_11.8.0_520.61.05_linux.run
	nvcc --version
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v2
	with:
	python-version: ${{ matrix.python-version }}

	# Install dependencies
	- name: Configure and install dependencies
	run: \|
	pip install --upgrade pip
	pip install .[dev]

	# Run tests
	- name: Run tests
	run: \|
	python -m pytest test

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