fix ci #3004

Workflow file for this run

.github/workflows/pr_stage_test.yml at 6bdd549

	name: pr_stage_test

	env:
	ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true


	on:
	pull_request:
	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/**"

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

	jobs:
	build_cpu:
	runs-on: ubuntu-22.04
	defaults:
	run:
	shell: bash -l {0}
	strategy:
	matrix:
	python-version: ['3.9']
	torch: ['2.0.0']
	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"
	use-only-tar-bz2: true
	activate-environment: test
	python-version: ${{ matrix.python-version }}
	- name: Update pip
	run: \|
	python -m pip install --upgrade pip wheel
	- name: Install dependencies
	run: \|
	apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
	python -m pip install torch==${{matrix.torch}}
	python -m pip install -e . -v
	python -m pip install -r requirements/tests.txt
	python -m pip install openmim
	mim install mmcv coverage
	- name: Run unit tests with coverage
	run: coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist
	- name: Upload Coverage to Codecov
	uses: codecov/codecov-action@v3

	build_gpu:
	runs-on: ubuntu-22.04
	defaults:
	run:
	shell: bash -l {0}
	env:
	MKL_THREADING_LAYER: GNU
	strategy:
	matrix:
	python-version: ['3.9','3.10']
	torch: ['2.0.0','2.3.1','2.5.1']
	cuda: ['cu118','cu124']
	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"
	use-only-tar-bz2: true
	activate-environment: test
	python-version: ${{ matrix.python-version }}
	- name: Update pip
	run: \|
	python -m pip install --upgrade pip wheel
	- name: Install dependencies
	run: \|
	apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
	python -m pip install torch==${{matrix.torch}} --index-url https://download.pytorch.org/whl/${{matrix.cuda}}
	python -m pip install -e . -v
	python -m pip install -r requirements/tests.txt
	python -m pip install openmim
	mim install mmcv coverage
	- name: Run unit tests with coverage
	run: coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist
	- name: Upload Coverage to Codecov
	uses: codecov/codecov-action@v3
	# build_gpu:
	# runs-on: ubuntu-22.04
	# env:
	# CONTAINER: continuumio/miniconda3
	# strategy:
	# matrix:
	# python-version: [3.10.16, 3.9]
	# torch: [2.0.0, 2.3.1]
	# steps:
	# - uses: actions/checkout@v4
	# - name: Start Docker Container
	# run: \|
	# docker pull $CONTAINER
	# docker run --name build-container -d -e MKL_THREADING_LAYER=GNU -v ${{ github.workspace }}:/workspace $CONTAINER tail -f /dev/null
	# - name: Install Dependencies
	# env:
	# SCRIPT: \|
	# conda create -n test python=${{ matrix.python-version }} -y
	# conda init && source activate base && conda activate test
	# pip install pip wheel --upgrade
	# 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
	# apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
	# pip install torch==${{matrix.torch}}
	# pip install -e . -v
	# pip install -r requirements/tests.txt
	# pip install openmim
	# pip install torch==${{matrix.torch}}
	# mim install mmcv coverage pytest parameterized numpy==1.21.2
	# run: docker exec build-container bash -c "$SCRIPT"
	# - name: Build
	# env:
	# SCRIPT: \|
	# cd /workspace
	# conda init && source activate base && conda activate test
	# coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist
	# coverage xml
	# coverage report -m
	# run: docker exec build-container bash -c "$SCRIPT"


	# build_windows:
	# runs-on: windows-2022
	# strategy:
	# matrix:
	# python-version: [3.9]
	# 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: ${{ matrix.python-version }}
	# - name: Upgrade pip
	# # Windows CI could fail If we call `pip install pip --upgrade` directly.
	# run: python -m pip install pip wheel --upgrade
	# - name: Install PyTorch
	# run: pip install torch==${{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 --ignore tests/test_hooks/test_sync_buffers_hook.py
	# if: ${{ matrix.platform == 'cu111' }} \|\| ${{ matrix.platform == 'cu118' }}

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fix ci #3004

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fix ci #3004

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