Only use optimized CUDA kernels if arch is at least sm80 #69

	name: Linux CUDA tests

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

	jobs:
	conventional-commits:
	uses: ./.github/workflows/conventional-commits.yml
	python-quality:
	uses: ./.github/workflows/python-quality.yml
	test-ubuntu-cuda:
	needs: [conventional-commits, python-quality]
	runs-on: [self-hosted, single-gpu , nvidia-gpu, a10, ci]
	strategy:
	fail-fast: false
	matrix:
	cuda-version: ["11.8", "12.1"]
	container:
	image: pytorch/pytorch:2.2.1-cuda${{ matrix.cuda-version }}-cudnn8-devel

	steps:
	- uses: actions/checkout@v2
	- name: Check CUDA installation
	run: \|
	nvcc -V

	- name: Build and install quanto
	run: \|
	pip install --upgrade pip
	pip install .[dev]

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

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