Model analysis in Object Detection #511

	name: Waffle Hub cpu test

	on:
	pull_request:
	branches: ["*"]

	jobs:
	Tests:
	timeout-minutes: 60
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest, windows-latest]
	python-version: ['3.9', '3.10']
	pytorch-version: [
	'torch==1.13.1+cpu torchvision==0.14.1+cpu --extra-index-url https://download.pytorch.org/whl/cpu',
	'torch==2.0.0+cpu torchvision==0.15.1+cpu --index-url https://download.pytorch.org/whl/cpu',
	'torch==2.0.1+cpu torchvision==0.15.2+cpu --index-url https://download.pytorch.org/whl/cpu'
	]
	steps:
	- uses: actions/checkout@v3
	- uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- uses: actions/cache@v3
	with:
	path: ${{ env.pythonLocation }}
	key: ${{ env.pythonLocation }}-${{ hashFiles('setup.py') }}-${{ hashFiles('requirements.txt') }}
	- name: Install requirements
	run: \|
	python -m pip install --upgrade pip wheel
	pip install ${{ matrix.pytorch-version }}
	pip install -r requirements.txt
	pip install pytest tensorboard mlflow pytest-xdist
	shell: bash # for Windows compatibility
	- name: Check environment
	run: \|
	python --version
	pip --version
	pip list
	- name: Pytest tests
	shell: bash # for Windows compatibility
	run: python -m pytest tests/test_utils.py tests/test_dataset.py tests/test_cli.py tests/test_hub.py -n 4 -v

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