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[MMSIG] 334 The new version of config adapts ResNet algorithm #1399

[MMSIG] 334 The new version of config adapts ResNet algorithm

[MMSIG] 334 The new version of config adapts ResNet algorithm #1399

Workflow file for this run

name: pr_stage_test
on:
pull_request:
paths-ignore:
- 'README.md'
- 'README_zh-CN.md'
- 'docs/**'
- 'demo/**'
- 'tools/**'
- 'configs/**'
- '.dev_scripts/**'
- '.circleci/**'
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build:
runs-on: ubuntu-22.04
strategy:
matrix:
python-version: [3.7]
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: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
- name: Install mmpretrain dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install -r requirements.txt
- name: Build and install
run: mim install .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmpretrain -m pytest tests/
coverage xml
coverage report -m
# Upload coverage report for python3.7 && pytorch1.8.1 cpu
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1.0.14
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
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: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install Python-dev
run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
if: ${{matrix.python-version != 3.9}}
- name: Install system dependencies
run: |
apt-get update
apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev libc6 libc6-dev
- name: Install mmpretrain dependencies
run: |
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
pip install -r requirements.txt
- name: Build and install
run: pip install -e .
- name: Run unittests and generate coverage report
run: |
coverage run --branch --source mmpretrain -m pytest tests/ --ignore tests/test_tools.py
coverage xml
coverage report -m
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1.0.14
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
build_windows:
runs-on: windows-2022
strategy:
matrix:
python-version: [3.7]
platform: [cpu]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: python -m pip install pip --upgrade
- name: Install PyTorch
run: pip install torch==1.8.2+${{matrix.platform}} torchvision==0.9.2+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
- name: Install mmpretrain dependencies
run: |
pip install -U openmim
mim install mmengine
mim install 'mmcv >= 2.0.0rc4'
pip install -r requirements.txt
- name: Build and install
run: mim install .
- name: Run unittests
run: |
pytest tests/ --ignore tests/test_models/test_backbones