[Fix] fix error when pytest>=8.2 (#1601) #624

Workflow file for this run

.github/workflows/merge_stage_test.yml at fc59364

	name: merge_stage_test

	on:
	push:
	paths-ignore:
	- ".github/**.md"
	- "docker/**"
	- "docs/**"
	- "README.md"
	- "README_zh-CN.md"
	- "CONTRIBUTING.md"
	- "CONTRIBUTING_zh-CN.md"
	- ".pre-commit-config.yaml"
	- ".pre-commit-config-zh-cn.yaml"
	- "examples/**"
	branches:
	- main

	concurrency:
	group: ${{ github.workflow }}-${{ github.ref }}
	cancel-in-progress: true

	jobs:
	build_cpu_py:
	runs-on: ubuntu-22.04
	strategy:
	matrix:
	python-version: [3.8, 3.9]
	torch: [1.8.1]
	include:
	- torch: 1.8.1
	torchvision: 0.9.1
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: python -m pip install pip --upgrade
	- name: Install PyTorch
	run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
	- name: Build MMEngine from source
	run: pip install -e . -v
	- name: Install unit tests dependencies
	run: \|
	pip install -r requirements/tests.txt
	pip install openmim
	mim install mmcv
	- name: Run unittests and generate coverage report
	run: \|
	coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist
	coverage xml
	coverage report -m

	build_cpu_pt:
	runs-on: ubuntu-22.04
	strategy:
	matrix:
	python-version: [3.7]
	torch: [1.6.0, 1.7.1, 1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.0, 1.13.0, 2.0.0, 2.1.0]
	include:
	- torch: 1.6.0
	torchvision: 0.7.0
	- torch: 1.7.1
	torchvision: 0.8.2
	- torch: 1.8.1
	torchvision: 0.9.1
	- torch: 1.9.1
	torchvision: 0.10.1
	- torch: 1.10.1
	torchvision: 0.11.2
	- torch: 1.11.0
	torchvision: 0.12.0
	- torch: 1.12.0
	torchvision: 0.13.0
	- torch: 1.13.0
	torchvision: 0.14.0
	- torch: 2.0.0
	torchvision: 0.15.1
	python-version: 3.8
	- torch: 2.1.0
	torchvision: 0.16.0
	python-version: 3.8
	exclude:
	- torch: 2.0.0
	python-version: 3.7
	- torch: 2.1.0
	python-version: 3.7
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: python -m pip install pip --upgrade
	- name: Upgrade wheel
	run: python -m pip install wheel --upgrade
	- name: Install PyTorch
	run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
	- name: Build MMEngine from source
	run: pip install -e . -v
	- name: Install unit tests dependencies
	run: \|
	pip install -r requirements/tests.txt
	- name: Install mmcv
	run: \|
	pip install openmim
	mim install mmcv
	if: ${{ matrix.torch > '1.8.0' \|\| matrix.torch == '1.8.0' }}
	- name: Run unittests and generate coverage report
	run: \|
	coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist
	# Only upload coverage report for python3.7 && pytorch1.8.1 cpu
	- name: Upload coverage to Codecov
	if: ${{matrix.torch == '1.8.1' && matrix.python-version == '3.7'}}
	uses: codecov/codecov-action@v3
	with:
	file: ./coverage.xml
	flags: unittests
	env_vars: OS,PYTHON
	name: codecov-umbrella
	fail_ci_if_error: false

	build_cu102:
	runs-on: ubuntu-22.04
	container:
	image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
	env:
	MKL_THREADING_LAYER: GNU
	strategy:
	matrix:
	python-version: [3.7]
	include:
	- torch: 1.8.1
	cuda: 10.2
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: pip install pip --upgrade
	- name: Fetch GPG keys
	run: \|
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
	- name: Install system dependencies
	run: apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
	- name: Build MMEngine from source
	run: pip install -e . -v
	- name: Install unit tests dependencies
	run: \|
	pip install -r requirements/tests.txt
	pip install openmim
	mim install mmcv
	- name: Run unittests and generate coverage report
	run: \|
	coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist
	coverage xml
	coverage report -m

	build_cu116:
	runs-on: ubuntu-22.04
	container:
	image: pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel
	strategy:
	matrix:
	python-version: [3.7]
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: pip install pip --upgrade
	- name: Fetch GPG keys
	run: \|
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
	- name: Install system dependencies
	run: apt-get update && apt-get install -y git ffmpeg libturbojpeg
	- name: Build MMEngine from source
	run: pip install -e . -v
	- name: Install unit tests dependencies
	run: \|
	pip install -r requirements/tests.txt
	pip install openmim
	mim install mmcv
	# Distributed related unit test may randomly error in PyTorch 1.13.0
	- name: Run unittests and generate coverage report
	run: \|
	coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist/
	coverage xml
	coverage report -m

	build_cu117:
	runs-on: ubuntu-22.04
	container:
	image: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
	strategy:
	matrix:
	python-version: [3.9]
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	run: pip install pip --upgrade
	- name: Fetch GPG keys
	run: \|
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
	apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
	- name: Install system dependencies
	run: apt-get update && apt-get install -y git ffmpeg libturbojpeg
	- name: Build MMEngine from source
	run: pip install -e . -v
	- name: Install unit tests dependencies
	run: \|
	pip install -r requirements/tests.txt
	pip install openmim
	mim install mmcv
	# Distributed related unit test may randomly error in PyTorch 1.13.0
	- name: Run unittests and generate coverage report
	run: \|
	coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist/
	coverage xml
	coverage report -m

	# build_macos:
	# runs-on: macos-latest
	# strategy:
	# matrix:
	# python-version: [3.8]
	# torch: [1.6.0, 1.8.1, 1.13.0]
	# include:
	# - torch: 1.6.0
	# torchvision: 0.7.0
	# - torch: 1.8.1
	# torchvision: 0.9.1
	# - torch: 1.13.0
	# torchvision: 0.14.0
	# steps:
	# - uses: actions/checkout@v3
	# - name: Set up Python 3.7
	# uses: actions/setup-python@v4
	# with:
	# python-version: ${{ matrix.python-version }}
	# - name: Upgrade pip
	# run: pip install pip --upgrade
	# - name: Upgrade wheel
	# run: pip install wheel --upgrade
	# - name: Install PyTorch
	# run: pip install torch==${{ matrix.torch }} torchvision==${{ matrix.torchvision }}
	# - name: Build MMEngine from source
	# run: pip install -e . -v
	# - name: Install unit tests dependencies
	# run: \|
	# pip install -r requirements/tests.txt
	# - name: Install mmcv
	# run: \|
	# pip install openmim
	# mim install mmcv
	# if: ${{ matrix.torch > '1.8.0' \|\| matrix.torch == '1.8.0' }}
	# # Distributed-related unit tests may fail in macOS
	# # Skip testing setup_env since it does not work in the current CI environment # TODO
	# - name: Run unittests and generate coverage report
	# run: \|
	# coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist/ --ignore tests/test_utils/test_dl_utils/test_setup_env.py
	# coverage xml
	# coverage report -m

	build_windows:
	runs-on: windows-2022
	strategy:
	matrix:
	python-version: [3.7]
	platform: [cpu, cu111]
	torch: [1.8.1]
	torchvision: [0.9.1]
	include:
	- python-version: 3.8
	platform: cu118
	torch: 2.1.0
	torchvision: 0.16.0
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Upgrade pip
	# Windows CI could fail If we call `pip install pip --upgrade` directly.
	run: python -m pip install pip --upgrade
	- name: Install PyTorch
	run: pip install torch==${{matrix.torch}}+${{matrix.platform}} torchvision==${{matrix.torchvision}}+${{matrix.platform}} -f https://download.pytorch.org/whl/${{matrix.platform}}/torch_stable.html
	- name: Build MMEngine from source
	run: pip install -e . -v
	- name: Install unit tests dependencies
	run: \|
	pip install -r requirements/tests.txt
	pip install openmim
	mim install mmcv
	- name: Run CPU unittests
	run: pytest tests/ --ignore tests/test_dist
	if: ${{ matrix.platform == 'cpu' }}
	- name: Run GPU unittests
	# Skip testing distributed related unit tests since the memory of windows CI is limited
	run: pytest tests/ --ignore tests/test_dist --ignore tests/test_optim/test_optimizer/test_optimizer_wrapper.py --ignore tests/test_model/test_wrappers/test_model_wrapper.py
	if: ${{ matrix.platform == 'cu111' }} \|\| ${{ matrix.platform == 'cu118' }}

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[Fix] fix error when pytest>=8.2 (#1601) #624

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[Fix] fix error when pytest>=8.2 (#1601) #624

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Workflow file for this run