Run unit tests on GPUs in CI #1

	name: GPU tests

	on:
	push:
	branches: [ main ]
	pull_request:
	workflow_dispatch:

	concurrency:
	group: gpu-test-${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number \|\| github.ref }}
	cancel-in-progress: true

	permissions:
	id-token: write
	contents: read

	defaults:
	run:
	shell: bash -l -eo pipefail {0}

	jobs:
	gpu_test:
	runs-on: linux.8xlarge.nvidia.gpu
	strategy:
	matrix:
	python-version: ['3.8', '3.9', '3.10', '3.11']
	torch-version: ["stable"]
	steps:
	- name: Check out repo
	uses: actions/checkout@v3
	- name: Setup conda env
	uses: conda-incubator/setup-miniconda@v2
	with:
	auto-update-conda: true
	miniconda-version: "latest"
	activate-environment: test
	python-version: ${{ matrix.python-version }}
	- name: Update pip
	run: python -m pip install --upgrade pip
	- name: Install torch nightly
	if: ${{ matrix.torch-version == 'nightly' }}
	run: python -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu118
	- name: Install torch stable
	if: ${{ matrix.torch-version == 'stable' }}
	run: python -m pip install torch
	- name: Install remaining dependencies
	run: \|
	python -m pip install -e ".[dev]"
	python -m pip install lm-eval==0.4.*
	- name: Run recipe and unit tests with coverage
	run: pytest tests --with-integration --cov=. --cov-report=xml --durations=20 -vv
	- name: Upload Coverage to Codecov
	uses: codecov/codecov-action@v3

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