[CI] update CI package (#476)
* update circleci * update github action * fix windows error * update * update pr and merge state * fix lint * update * update * update circle ci * fix * fix utpull/567/head
parent
8b19432ac3
commit
ff5f5ae2a9
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@ -25,7 +25,7 @@ jobs:
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name: Check docstring coverage
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command: |
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pip install interrogate
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interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-magic --ignore-regex "__repr__" --fail-under 80 mmselfsup
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interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-magic --ignore-regex "__repr__" --fail-under 90 mmselfsup
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build_cpu:
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parameters:
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# The python version must match available image tags in
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@ -36,8 +36,6 @@ jobs:
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type: string
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torchvision:
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type: string
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mmcv:
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type: string
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docker:
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- image: cimg/python:<< parameters.python >>
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resource_class: large
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@ -51,30 +49,30 @@ jobs:
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- run:
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name: Configure Python & pip
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command: |
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python -m pip install --upgrade pip
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python -m pip install wheel
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pip install --upgrade pip
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pip install wheel
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- run:
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name: Install PyTorch
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command: |
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python -V
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python -m pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
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pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- run:
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name: Install mmselfsup dependencies
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command: |
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python -m pip install git+ssh://git@github.com/open-mmlab/mmengine.git@main
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python -m pip install << parameters.mmcv >>
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python -m pip install git+ssh://git@github.com/open-mmlab/mmclassification.git@dev-1.x
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python -m pip install -r requirements.txt
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc1'
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pip install -r requirements/tests.txt
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- run:
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name: Build and install
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command: |
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python -m pip install -e .
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pip install -e .
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- run:
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name: Run unittests
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command: |
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python -m coverage run --branch --source mmselfsup -m pytest tests/
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python -m coverage xml
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python -m coverage report -m
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coverage run --branch --source mmselfsup -m pytest tests/
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coverage xml
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coverage report -m
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build_cuda:
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parameters:
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torch:
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@ -85,8 +83,6 @@ jobs:
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cudnn:
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type: integer
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default: 7
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mmcv:
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type: string
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machine:
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image: ubuntu-2004-cuda-11.4:202110-01
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# docker_layer_caching: true
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@ -97,8 +93,8 @@ jobs:
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# CLoning repos in VM since Docker doesn't have access to the private key
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name: Clone Repos
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command: |
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git clone -b main --depth 1 ssh://git@github.com/open-mmlab/mmengine.git /home/circleci/mmengine
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git clone -b dev-1.x --depth 1 ssh://git@github.com/open-mmlab/mmclassification.git /home/circleci/mmclassification
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git clone -b main --depth 1 https://github.com/open-mmlab/mmengine.git /home/circleci/mmengine
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git clone -b dev-1.x --depth 1 https://github.com/open-mmlab/mmclassification.git /home/circleci/mmclassification
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- run:
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name: Build Docker image
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command: |
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@ -108,9 +104,9 @@ jobs:
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name: Install mmselfsup dependencies
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command: |
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docker exec mmselfsup pip install -e /mmengine
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docker exec mmselfsup pip install << parameters.mmcv >>
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docker exec mmselfsup pip install -e /mmclassification
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docker exec mmselfsup pip install -r requirements.txt
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docker exec mmselfsup pip install -U openmim
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docker exec mmselfsup mim install 'mmcv >= 2.0.0rc1'
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docker exec mmselfsup pip install -r requirements/tests.txt
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- run:
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name: Build and install
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command: |
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@ -118,7 +114,8 @@ jobs:
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- run:
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name: Run unittests
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command: |
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docker exec mmselfsup python -m pytest tests/
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docker exec mmselfsup pytest tests/
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workflows:
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pr_stage_lint:
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when: << pipeline.parameters.lint_only >>
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@ -129,6 +126,7 @@ workflows:
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branches:
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ignore:
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- dev-1.x
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- 1.x
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pr_stage_test:
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when:
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not:
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@ -145,7 +143,6 @@ workflows:
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torch: 1.6.0
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torchvision: 0.7.0
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python: 3.6.9 # The lowest python 3.6.x version available on CircleCI images
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mmcv: https://download.openmmlab.com/mmcv/dev-2.x/cpu/torch1.6.0/mmcv_full-2.0.0rc0-cp36-cp36m-manylinux1_x86_64.whl
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requires:
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- lint
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- build_cpu:
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@ -153,7 +150,6 @@ workflows:
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torch: 1.9.0
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torchvision: 0.10.0
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python: 3.9.0
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mmcv: https://download.openmmlab.com/mmcv/dev-2.x/cpu/torch1.9.0/mmcv_full-2.0.0rc0-cp39-cp39-manylinux1_x86_64.whl
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requires:
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- minimum_version_cpu
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- hold:
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@ -166,7 +162,6 @@ workflows:
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# Use double quotation mark to explicitly specify its type
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# as string instead of number
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cuda: "10.2"
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mmcv: https://download.openmmlab.com/mmcv/dev-2.x/cu102/torch1.8.0/mmcv_full-2.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl
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requires:
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- hold
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merge_stage_test:
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@ -179,7 +174,6 @@ workflows:
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torch: 1.6.0
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# Use double quotation mark to explicitly specify its type
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# as string instead of number
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mmcv: https://download.openmmlab.com/mmcv/dev-2.x/cu101/torch1.6.0/mmcv_full-2.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl
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cuda: "10.1"
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filters:
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branches:
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@ -2,5 +2,5 @@ blank_issues_enabled: false
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contact_links:
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- name: MMSelfSup Documentation
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url: https://mmselfsup.readthedocs.io/en/latest/
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url: https://mmselfsup.readthedocs.io/en/1.x/
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about: Check if your question is answered in docs
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@ -1,130 +0,0 @@
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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: build
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on:
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push:
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paths-ignore:
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- 'README.md'
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- 'README_zh-CN.md'
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- 'docs/**'
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- 'model-index.yml'
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- 'configs/**.md'
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pull_request:
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paths-ignore:
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- 'README.md'
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- 'README_zh-CN.md'
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- 'docs/**'
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- 'model-index.yml'
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- 'configs/**.md'
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: true
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# jobs:
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# build:
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# runs-on: ubuntu-latest
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# env:
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# UBUNTU_VERSION: ubuntu1804
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# strategy:
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# matrix:
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# python-version: [3.7]
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# torch: [1.6.0, 1.7.0, 1.8.0, 1.9.0]
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# include:
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# - torch: 1.6.0
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# torch_version: 1.6
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# torchvision: 0.7.0
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# - torch: 1.7.0
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# torch_version: 1.7
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# torchvision: 0.8.1
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# - torch: 1.7.0
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# torch_version: 1.7
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# torchvision: 0.8.1
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# python-version: 3.8
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# - torch: 1.8.0
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# torch_version: 1.8
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# torchvision: 0.9.0
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# - torch: 1.8.0
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# torch_version: 1.8
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# torchvision: 0.9.0
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# python-version: 3.8
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# - torch: 1.9.0
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# torch_version: 1.9
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# torchvision: 0.10.0
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# - torch: 1.9.0
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# torch_version: 1.9
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# torchvision: 0.10.0
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# python-version: 3.8
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# steps:
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# - uses: actions/checkout@v2
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# - name: Set up Python ${{ matrix.python-version }}
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# uses: actions/setup-python@v2
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# with:
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# python-version: ${{ matrix.python-version }}
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# - name: Install PyTorch
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# run: pip install --use-deprecated=legacy-resolver torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
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# - name: Install MMCV
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# run: |
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# pip install --use-deprecated=legacy-resolver mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.torch_version}}/index.html
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# python -c 'import mmcv; print(mmcv.__version__)'
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# - name: Install mmselfsup dependencies
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# run: |
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# pip install -r requirements.txt
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# - name: Build and install
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# run: |
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# rm -rf .eggs
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# pip install -e . -U
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# - name: Run unittests and generate coverage report
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# run: |
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# coverage run --branch --source mmselfsup -m pytest tests/
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# coverage xml
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# coverage report -m
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# # Only upload coverage report for python3.8 && pytorch1.9.0
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# - name: Upload coverage to Codecov
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# if: ${{matrix.torch == '1.9.0' && matrix.python-version == '3.8'}}
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# uses: codecov/codecov-action@v2
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# with:
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# file: ./coverage.xml
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# flags: unittests
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# env_vars: OS,PYTHON
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# name: codecov-umbrella
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# fail_ci_if_error: false
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# test_windows:
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# runs-on: ${{ matrix.os }}
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# strategy:
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# matrix:
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# os: [windows-2022]
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# python: [3.8]
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# platform: [cpu, cu111]
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# steps:
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# - uses: actions/checkout@v2
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# - name: Set up Python ${{ matrix.python }}
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# uses: actions/setup-python@v2
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# with:
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# python-version: ${{ matrix.python }}
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# - name: Install PyTorch
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# # As a complement to Linux CI, we test on PyTorch LTS version
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# run: pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
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# - name: Install OpenCV
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# run: |
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# pip install opencv-python>=3
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# - name: Install MMCV
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# run: |
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# pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8/index.html --only-binary mmcv-full
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# - name: Install unittest dependencies
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# run: |
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# pip install -r requirements.txt
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# - name: Build and install
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# run: pip install -e .
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# - name: Run unittests
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# run: |
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# coverage run --branch --source mmselfsup -m pytest tests/
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# - name: Generate coverage report
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# run: |
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# coverage xml
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# coverage report -m --omit="mmselfsup/apis/*"
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@ -0,0 +1,179 @@
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name: merge_stage_test
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on:
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push:
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paths-ignore:
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- 'README.md'
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- 'README_zh-CN.md'
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- 'docs/**'
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- 'demo/**'
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- '.dev_scripts/**'
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- '.circleci/**'
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branches:
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- dev-1.x
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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build_cpu_py:
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runs-on: ubuntu-18.04
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strategy:
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matrix:
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python-version: [3.6, 3.8, 3.9]
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torch: [1.8.1]
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include:
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- torch: 1.8.1
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torchvision: 0.9.1
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Upgrade pip
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run: pip install pip --upgrade
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install MMEngine
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run: pip install git+https://github.com/open-mmlab/mmengine.git@main
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- name: Install MMCV
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run: |
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc1'
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- name: Install other dependencies
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run: pip install -r requirements/tests.txt
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- name: Build and install
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run: rm -rf .eggs && pip install -e .
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmselfsup -m pytest tests/
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coverage xml
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coverage report -m
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build_cpu_pt:
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runs-on: ubuntu-18.04
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.6.0, 1.7.1, 1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.1]
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include:
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- torch: 1.6.0
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torchvision: 0.7.0
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- torch: 1.7.1
|
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torchvision: 0.8.2
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- torch: 1.8.1
|
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torchvision: 0.9.1
|
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- torch: 1.9.1
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torchvision: 0.10.1
|
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- torch: 1.10.1
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torchvision: 0.11.2
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- torch: 1.11.0
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torchvision: 0.12.0
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- torch: 1.12.1
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torchvision: 0.13.1
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install MMEngine
|
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run: pip install git+https://github.com/open-mmlab/mmengine.git@main
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- name: Install MMCV
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run: |
|
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pip install -U openmim
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mim install 'mmcv >= 2.0.0rc1'
|
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- name: Install other dependencies
|
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run: pip install -r requirements/tests.txt
|
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- name: Build and install
|
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run: rm -rf .eggs && pip install -e .
|
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- name: Run unittests and generate coverage report
|
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run: |
|
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coverage run --branch --source mmselfsup -m pytest tests/
|
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coverage xml
|
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coverage report -m
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# Only upload coverage report for python3.8 && pytorch1.9.0
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- name: Upload coverage to Codecov
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if: ${{matrix.torch == '1.8.1' && matrix.python-version == '3.7'}}
|
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uses: codecov/codecov-action@v2
|
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with:
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file: ./coverage.xml
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flags: unittests
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env_vars: OS,PYTHON
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name: codecov-umbrella
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fail_ci_if_error: false
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build_cu102:
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runs-on: ubuntu-18.04
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container:
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image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
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strategy:
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matrix:
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python-version: [3.7]
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include:
|
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- torch: 1.8.1
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cuda: 10.2
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steps:
|
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- uses: actions/checkout@v2
|
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- name: Set up Python ${{ matrix.python-version }}
|
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uses: actions/setup-python@v2
|
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with:
|
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python-version: ${{ matrix.python-version }}
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- name: Upgrade pip
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run: pip install pip --upgrade
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- name: Fetch GPG keys
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run: |
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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- name: Install Python-dev
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run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
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if: ${{matrix.python-version != 3.9}}
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- name: Install system dependencies
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run: |
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apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
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- name: Install mmselfsup dependencies
|
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run: |
|
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pip install git+https://github.com/open-mmlab/mmengine.git@main
|
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pip install -U openmim
|
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mim install 'mmcv >= 2.0.0rc1'
|
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pip install -r requirements/tests.txt
|
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- name: Build and install
|
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run: |
|
||||
python setup.py check -m -s
|
||||
TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
|
||||
|
||||
build_windows:
|
||||
runs-on: ${{ matrix.os }}
|
||||
strategy:
|
||||
matrix:
|
||||
os: [windows-2022]
|
||||
python: [3.7]
|
||||
platform: [cpu, cu111]
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v2
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
- name: Upgrade pip
|
||||
run: pip install pip --upgrade
|
||||
- name: Install lmdb
|
||||
run: pip install lmdb
|
||||
- name: Install PyTorch
|
||||
run: pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
|
||||
- name: Install mmselfsup dependencies
|
||||
run: |
|
||||
pip install git+https://github.com/open-mmlab/mmengine.git@main
|
||||
pip install -U openmim
|
||||
mim install 'mmcv >= 2.0.0rc1'
|
||||
pip install -r requirements/tests.txt
|
||||
- name: Build and install
|
||||
run: |
|
||||
pip install -e .
|
||||
- name: Run unittests and generate coverage report
|
||||
run: |
|
||||
pytest tests/
|
|
@ -0,0 +1,128 @@
|
|||
name: pr_stage_test
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
paths-ignore:
|
||||
- 'README.md'
|
||||
- 'README_zh-CN.md'
|
||||
- 'docs/**'
|
||||
- 'demo/**'
|
||||
- '.dev_scripts/**'
|
||||
- '.circleci/**'
|
||||
|
||||
concurrency:
|
||||
group: ${{ github.workflow }}-${{ github.ref }}
|
||||
cancel-in-progress: true
|
||||
|
||||
jobs:
|
||||
build_cpu:
|
||||
runs-on: ubuntu-18.04
|
||||
strategy:
|
||||
matrix:
|
||||
python-version: [3.7]
|
||||
include:
|
||||
- torch: 1.8.1
|
||||
torchvision: 0.9.1
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v2
|
||||
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/torch_stable.html
|
||||
- name: Install MMEngine
|
||||
run: pip install git+https://github.com/open-mmlab/mmengine.git@main
|
||||
- name: Install MMCV
|
||||
run: |
|
||||
pip install -U openmim
|
||||
mim install 'mmcv >= 2.0.0rc1'
|
||||
- name: Install other dependencies
|
||||
run: pip install -r requirements/tests.txt
|
||||
- name: Build and install
|
||||
run: rm -rf .eggs && pip install -e .
|
||||
- name: Run unittests and generate coverage report
|
||||
run: |
|
||||
coverage run --branch --source mmselfsup -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_cu102:
|
||||
runs-on: ubuntu-18.04
|
||||
container:
|
||||
image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
|
||||
strategy:
|
||||
matrix:
|
||||
python-version: [3.7]
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v2
|
||||
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
|
||||
- name: Install mmselfsup dependencies
|
||||
run: |
|
||||
pip install git+https://github.com/open-mmlab/mmengine.git@main
|
||||
pip install -U openmim
|
||||
mim install 'mmcv >= 2.0.0rc1'
|
||||
pip install -r requirements/tests.txt
|
||||
- name: Build and install
|
||||
run: |
|
||||
python setup.py check -m -s
|
||||
TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
|
||||
|
||||
build_windows:
|
||||
runs-on: ${{ matrix.os }}
|
||||
strategy:
|
||||
matrix:
|
||||
os: [windows-2022]
|
||||
python: [3.7]
|
||||
platform: [cpu, cu111]
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v2
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
- name: Upgrade pip
|
||||
run: pip install pip --upgrade
|
||||
- name: Install lmdb
|
||||
run: pip install lmdb
|
||||
- name: Install PyTorch
|
||||
run: pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
|
||||
- name: Install mmselfsup dependencies
|
||||
run: |
|
||||
pip install git+https://github.com/open-mmlab/mmengine.git@main
|
||||
pip install -U openmim
|
||||
mim install 'mmcv >= 2.0.0rc1'
|
||||
pip install -r requirements/tests.txt
|
||||
- name: Build and install
|
||||
run: |
|
||||
pip install -e .
|
||||
- name: Run unittests and generate coverage report
|
||||
run: |
|
||||
pytest tests/
|
|
@ -1,9 +1,11 @@
|
|||
# Copyright (c) OpenMMLab. All rights reserved.
|
||||
import logging
|
||||
import tempfile
|
||||
from unittest import TestCase
|
||||
|
||||
import torch
|
||||
import torch.nn as nn
|
||||
from mmengine.logging import MMLogger
|
||||
from mmengine.model import BaseModule
|
||||
from mmengine.optim import OptimWrapper
|
||||
from mmengine.runner import Runner
|
||||
|
@ -70,6 +72,10 @@ class TestDenseCLHook(TestCase):
|
|||
self.temp_dir = tempfile.TemporaryDirectory()
|
||||
|
||||
def tearDown(self):
|
||||
# `FileHandler` should be closed in Windows, otherwise we cannot
|
||||
# delete the temporary directory
|
||||
logging.shutdown()
|
||||
MMLogger._instance_dict.clear()
|
||||
self.temp_dir.cleanup()
|
||||
|
||||
def test_densecl_hook(self):
|
||||
|
|
|
@ -1,9 +1,11 @@
|
|||
# Copyright (c) OpenMMLab. All rights reserved.
|
||||
import logging
|
||||
import tempfile
|
||||
from unittest import TestCase
|
||||
|
||||
import torch
|
||||
import torch.nn as nn
|
||||
from mmengine.logging import MMLogger
|
||||
from mmengine.model import BaseModule
|
||||
from mmengine.runner import Runner
|
||||
from mmengine.structures import LabelData
|
||||
|
@ -67,6 +69,10 @@ class TestSimSiamHook(TestCase):
|
|||
self.temp_dir = tempfile.TemporaryDirectory()
|
||||
|
||||
def tearDown(self):
|
||||
# `FileHandler` should be closed in Windows, otherwise we cannot
|
||||
# delete the temporary directory
|
||||
logging.shutdown()
|
||||
MMLogger._instance_dict.clear()
|
||||
self.temp_dir.cleanup()
|
||||
|
||||
def test_simsiam_hook(self):
|
||||
|
|
|
@ -1,9 +1,11 @@
|
|||
# Copyright (c) OpenMMLab. All rights reserved.
|
||||
import logging
|
||||
import tempfile
|
||||
from unittest import TestCase
|
||||
|
||||
import torch
|
||||
import torch.nn as nn
|
||||
from mmengine.logging import MMLogger
|
||||
from mmengine.model import BaseModule
|
||||
from mmengine.optim import OptimWrapper
|
||||
from mmengine.runner import Runner
|
||||
|
@ -77,6 +79,10 @@ class TestSwAVHook(TestCase):
|
|||
self.temp_dir = tempfile.TemporaryDirectory()
|
||||
|
||||
def tearDown(self):
|
||||
# `FileHandler` should be closed in Windows, otherwise we cannot
|
||||
# delete the temporary directory
|
||||
logging.shutdown()
|
||||
MMLogger._instance_dict.clear()
|
||||
self.temp_dir.cleanup()
|
||||
|
||||
def test_swav_hook(self):
|
||||
|
|
|
@ -54,7 +54,7 @@ def test_deepcluster():
|
|||
'inputs':
|
||||
[torch.randn((2, 3, 224, 224)),
|
||||
torch.randn((2, 3, 224, 224))],
|
||||
'data_sample': [SelfSupDataSample() for _ in range(2)]
|
||||
'data_sample': [fake_data_sample for _ in range(2)]
|
||||
}
|
||||
|
||||
fake_inputs, fake_data_samples = alg.data_preprocessor(fake_data)
|
||||
|
|
|
@ -64,7 +64,7 @@ def test_odc():
|
|||
fake_data_sample.sample_idx = fake_sample_idx
|
||||
fake_data = {
|
||||
'inputs': [torch.randn((2, 3, 224, 224))],
|
||||
'data_samples': [SelfSupDataSample() for _ in range(2)]
|
||||
'data_samples': [fake_data_sample for _ in range(2)]
|
||||
}
|
||||
|
||||
fake_inputs, fake_data_samples = alg.data_preprocessor(fake_data)
|
||||
|
|
Loading…
Reference in New Issue