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Code Issues Projects Releases Wiki Activity

[CI] Fix CI (#2029)

Browse Source 
* [CI] Fix CI

* fix wrong command

* remove mmcv

* fix lint error

* add pytorch install

* fix pytorch installation

* fix mmengine error

* fix mmcv installation in pr_stage

* fix docstring coverage in lint and delete cu102 in pr_stage windows

* fix lint.yml and reset test.yml

* ignore some ut in build_windows of pr_stage

* test merge stage test

* fix mmseg dependencies in pr_stage_test.yml

* delete redundant lines in pr_stage and fix mmseg dependencies in mr_stage

* fix error in merge_stage

* delete python -m in merge_stage

* fix error in merge_stage

* let mmcv installation before mmengine

* fix error of mmcv not found

* fix ut error in merge)stage_test.yml

* fix build_windows ut in metge_stage

* fix error

* fix windows error of merge_stag

* Update .github/workflows/merge_stage_test.yml

* Update .github/workflows/merge_stage_test.yml

* Update .github/workflows/merge_stage_test.yml

* fix error

* delete skip timm ut

* add requitements/optinal.txt in test.yml

* Update .github/workflows/merge_stage_test.yml

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
This commit is contained in:
MengzhangLI 2022-09-13 13:43:13 +08:00 committed by GitHub
parent 60f0415932
commit 8aca73e187
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GPG Key ID: 4AEE18F83AFDEB23
6 changed files with 365 additions and 295 deletions
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55
.circleci/test.yml
View File

@ -36,8 +36,6 @@ jobs:
type: string
torchvision:
type: string
mmcv:
type: string
docker:
- image: cimg/python:<< parameters.python >>
resource_class: large
@ -51,31 +49,32 @@ jobs:
- run:
name: Configure Python & pip
command: |
python -m pip install --upgrade pip
python -m pip install wheel
pip install --upgrade pip
pip install wheel
- run:
name: Install PyTorch
command: |
python -V
python -m pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
- run:
name: Install mmseg dependencies
command: |
python -m pip install git+ssh://git@github.com/open-mmlab/mmengine.git@main
python -m pip install << parameters.mmcv >>
python -m pip install git+ssh://git@github.com/open-mmlab/mmclassification@dev-1.x
python -m pip install -r requirements.txt
pip install git+https://github.com/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc1'
pip install git+https://github.com/open-mmlab/mmclassification@dev-1.x
pip install -r requirements/tests.txt -r requirements/optional.txt
- run:
name: Build and install
command: |
python -m pip install -e .
pip install -e .
- run:
name: Run unittests
command: |
python -m pip install timm
python -m coverage run --branch --source mmseg -m pytest tests/
python -m coverage xml
python -m coverage report -m
pip install timm
coverage run --branch --source mmseg -m pytest tests/
coverage xml
coverage report -m
- run:
name: Skip timm unittests and generate coverage report
command: |
@ -92,8 +91,6 @@ jobs:
cudnn:
type: integer
default: 7
mmcv:
type: string
machine:
image: ubuntu-2004-cuda-11.4:202110-01
# docker_layer_caching: true
@ -104,8 +101,8 @@ jobs:
# Cloning repos in VM since Docker doesn't have access to the private key
name: Clone Repos
command: |
git clone -b main --depth 1 ssh://git@github.com/open-mmlab/mmengine.git /home/circleci/mmengine
git clone -b dev-1.x --depth 1 ssh://git@github.com/open-mmlab/mmclassification.git /home/circleci/mmclassification
git clone -b main --depth 1 https://github.com/open-mmlab/mmengine.git /home/circleci/mmengine
git clone -b dev-1.x --depth 1 https://github.com/open-mmlab/mmclassification.git /home/circleci/mmclassification
- run:
name: Build Docker image
command: |
@ -115,9 +112,10 @@ jobs:
name: Install mmseg dependencies
command: |
docker exec mmseg pip install -e /mmengine
docker exec mmseg pip install << parameters.mmcv >>
docker exec mmseg pip install -U openmim
docker exec mmseg mim install 'mmcv >= 2.0.0rc1'
docker exec mmseg pip install -e /mmclassification
docker exec mmseg python -m pip install -r requirements.txt
docker exec mmseg pip install -r requirements/tests.txt -r requirements/optional.txt
- run:
name: Build and install
command: |
@ -125,8 +123,8 @@ jobs:
- run:
name: Run unittests
command: |
docker exec mmseg python -m pip install timm
docker exec mmseg python -m pytest tests/
docker exec mmseg pip install timm
docker exec mmseg pytest tests/
workflows:
pr_stage_lint:
when: << pipeline.parameters.lint_only >>
@ -137,7 +135,7 @@ workflows:
branches:
ignore:
- dev-1.x
- test-1.x
- 1.x
pr_stage_test:
when:
not:
@ -149,21 +147,19 @@ workflows:
branches:
ignore:
- dev-1.x
- test-1.x
- 1.x
- build_cpu:
name: minimum_version_cpu
torch: 1.6.0
torchvision: 0.7.0
python: 3.6.9 # The lowest python 3.6.x version available on CircleCI images
mmcv: https://download.openmmlab.com/mmcv/dev-2.x/cpu/torch1.6.0/mmcv_full-2.0.0rc0-cp36-cp36m-manylinux1_x86_64.whl
requires:
- lint
- build_cpu:
name: maximum_version_cpu
torch: 1.9.0
torchvision: 0.10.0
torch: 1.12.1
torchvision: 0.13.1
python: 3.9.0
mmcv: https://download.openmmlab.com/mmcv/dev-2.x/cpu/torch1.9.0/mmcv_full-2.0.0rc0-cp39-cp39-manylinux1_x86_64.whl
requires:
- minimum_version_cpu
- hold:
@ -176,7 +172,6 @@ workflows:
# Use double quotation mark to explicitly specify its type
# as string instead of number
cuda: "10.2"
mmcv: https://download.openmmlab.com/mmcv/dev-2.x/cu102/torch1.8.0/mmcv_full-2.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl
requires:
- hold
merge_stage_test:
@ -189,10 +184,8 @@ workflows:
torch: 1.6.0
# Use double quotation mark to explicitly specify its type
# as string instead of number
mmcv: https://download.openmmlab.com/mmcv/dev-2.x/cu101/torch1.6.0/mmcv_full-2.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl
cuda: "10.1"
filters:
branches:
only:
- dev-1.x
- test-1.x

260
.github/workflows/build.yml vendored
View File

@ -1,260 +0,0 @@
name: build
on:
push:
paths-ignore:
- 'demo/**'
- '.dev/**'
- 'docker/**'
- 'tools/**'
- '**.md'
pull_request:
paths-ignore:
- 'demo/**'
- '.dev/**'
- 'docker/**'
- 'tools/**'
- 'docs/**'
- '**.md'
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cpu:
runs-on: ubuntu-18.04
strategy:
matrix:
python-version: [3.7]
torch: [1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0]
include:
- torch: 1.5.1
torch_version: torch1.5
torchvision: 0.6.1
- torch: 1.6.0
torch_version: torch1.6
torchvision: 0.7.0
- torch: 1.7.0
torch_version: torch1.7
torchvision: 0.8.1
- torch: 1.8.0
torch_version: torch1.8
torchvision: 0.9.0
- torch: 1.9.0
torch_version: torch1.9
torchvision: 0.10.0
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 Pillow
run: pip install Pillow==6.2.2
if: ${{matrix.torchvision == '0.4.2'}}
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install MMCV
run: |
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/${{matrix.torch_version}}/index.html
python -c 'import mmcv; print(mmcv.__version__)'
- name: Install unittest dependencies
run: |
pip install -r requirements.txt
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
run: |
pip install timm
coverage run --branch --source mmseg -m pytest tests/
coverage xml
coverage report -m
if: ${{matrix.torch >= '1.5.0'}}
- name: Skip timm unittests and generate coverage report
run: |
coverage run --branch --source mmseg -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
coverage xml
coverage report -m
if: ${{matrix.torch < '1.5.0'}}
build_cuda101:
runs-on: ubuntu-18.04
container:
image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
strategy:
matrix:
python-version: [3.7]
torch:
[
1.5.1+cu101,
1.6.0+cu101,
1.7.0+cu101,
1.8.0+cu101
]
include:
- torch: 1.5.1+cu101
torch_version: torch1.5
torchvision: 0.6.1+cu101
- torch: 1.6.0+cu101
torch_version: torch1.6
torchvision: 0.7.0+cu101
- torch: 1.7.0+cu101
torch_version: torch1.7
torchvision: 0.8.1+cu101
- torch: 1.8.0+cu101
torch_version: torch1.8
torchvision: 0.9.0+cu101
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Fetch GPG keys
run: |
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
- name: Install system dependencies
run: |
apt-get update && apt-get install -y libgl1-mesa-glx ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 python${{matrix.python-version}}-dev
apt-get clean
rm -rf /var/lib/apt/lists/*
- name: Install Pillow
run: python -m pip install Pillow==6.2.2
if: ${{matrix.torchvision < 0.5}}
- name: Install PyTorch
run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- name: Install mmseg dependencies
run: |
python -V
python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/${{matrix.torch_version}}/index.html
python -m pip install -r requirements.txt
python -c 'import mmcv; print(mmcv.__version__)'
- name: Build and install
run: |
rm -rf .eggs
python setup.py check -m -s
TORCH_CUDA_ARCH_LIST=7.0 pip install .
- name: Run unittests and generate coverage report
run: |
python -m pip install timm
coverage run --branch --source mmseg -m pytest tests/
coverage xml
coverage report -m
if: ${{matrix.torch >= '1.5.0'}}
- name: Skip timm unittests and generate coverage report
run: |
coverage run --branch --source mmseg -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
coverage xml
coverage report -m
if: ${{matrix.torch < '1.5.0'}}
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1.0.10
with:
file: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
build_cuda102:
runs-on: ubuntu-18.04
container:
image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
strategy:
matrix:
python-version: [3.6, 3.7, 3.8, 3.9]
torch: [1.9.0+cu102]
include:
- torch: 1.9.0+cu102
torch_version: torch1.9
torchvision: 0.10.0+cu102
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- 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 libgl1-mesa-glx ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
apt-get clean
rm -rf /var/lib/apt/lists/*
- name: Install Pillow
run: python -m pip install Pillow==6.2.2
if: ${{matrix.torchvision < 0.5}}
- name: Install PyTorch
run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
- name: Install mmseg dependencies
run: |
python -V
python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/${{matrix.torch_version}}/index.html
python -m pip install -r requirements.txt
python -c 'import mmcv; print(mmcv.__version__)'
- name: Build and install
run: |
rm -rf .eggs
python setup.py check -m -s
TORCH_CUDA_ARCH_LIST=7.0 pip install .
- name: Run unittests and generate coverage report
run: |
python -m pip install timm
coverage run --branch --source mmseg -m pytest tests/
coverage xml
coverage report -m
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v2
with:
files: ./coverage.xml
flags: unittests
env_vars: OS,PYTHON
name: codecov-umbrella
fail_ci_if_error: false
test_windows:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [windows-2022]
python: [3.8]
platform: [cpu, cu111]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python }}
- name: Upgrade pip
run: pip install pip --upgrade --user
- name: Install OpenCV
run: pip install opencv-python>=3
- name: Install PyTorch
# As a complement to Linux CI, we test on PyTorch LTS version
run: pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
- name: Install MMCV
run: |
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8/index.html --only-binary mmcv-full
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: pip install -e .
- name: Run unittests
run: |
python -m pip install timm
coverage run --branch --source mmseg -m pytest tests/
- name: Generate coverage report
run: |
coverage xml
coverage report -m

6
.github/workflows/lint.yml vendored
View File

@ -17,7 +17,7 @@ jobs:
python-version: 3.7
- name: Install pre-commit hook
run: |
pip install pre-commit
python -m pip install pre-commit
pre-commit install
- name: Linting
run: |
@ -27,5 +27,5 @@ jobs:
pre-commit run --all-files
- name: Check docstring coverage
run: |
pip install interrogate
interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --exclude mmseg/ops --ignore-regex "__repr__" --fail-under 80 mmseg
python -m pip install interrogate
interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --exclude mmseg/ops --ignore-regex "__repr__" --fail-under 75 mmseg

196
.github/workflows/merge_stage_test.yml vendored Normal file
View File

@ -0,0 +1,196 @@
name: merge_stage_test
on:
push:
paths-ignore:
- 'README.md'
- 'README_zh-CN.md'
- 'docs/**'
- 'demo/**'
- '.dev_scripts/**'
- '.circleci/**'
branches:
- dev-1.x
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_cpu_py:
runs-on: ubuntu-18.04
strategy:
matrix:
python-version: [3.6, 3.8, 3.9]
torch: [1.8.1]
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 Pillow
run: pip install Pillow==6.2.2
if: ${{matrix.torchvision == '0.4.2'}}
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv>=2.0.0rc1'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
run: |
pip install timm
coverage run --branch --source mmseg -m pytest tests/
coverage xml
coverage report -m
build_cpu_pt:
runs-on: ubuntu-18.04
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]
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
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade
- name: Install Pillow
run: pip install Pillow==6.2.2
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv>=2.0.0rc1'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
run: |
pip install timm
coverage run --branch --source mmseg -m pytest tests/
coverage xml
coverage report -m
# 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@v2
with:
files: ./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]
include:
- torch: 1.8.1
cuda: 10.2
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 libsm6 libxrender-dev libxext6
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv>=2.0.0rc1'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.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: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade
- name: Install OpenCV
run: pip install opencv-python>=3
- name: Install PyTorch
run: pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv>=2.0.0rc1'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: pip install -e .
- name: Run unittests
run: |
pip install timm
coverage run --branch --source mmseg -m pytest tests/ --ignore tests\test_models\test_forward.py tests\test_models\test_backbones\test_beit.py
- name: Generate coverage report
run: |
coverage xml
coverage report -m

141
.github/workflows/pr_stage_test.yml vendored Normal file
View File

@ -0,0 +1,141 @@
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 Pillow
run: pip install Pillow==6.2.2
if: ${{matrix.torchvision == '0.4.2'}}
- name: Install PyTorch
run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
- name: Install other dependencies
run: |
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv>=2.0.0rc1'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: rm -rf .eggs && pip install -e .
- name: Run unittests and generate coverage report
run: |
pip install timm
coverage run --branch --source mmseg -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 mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv>=2.0.0rc1'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.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: ${{ matrix.python-version }}
- name: Upgrade pip
run: pip install pip --upgrade
- name: Install OpenCV
run: pip install opencv-python>=3
- name: Install PyTorch
run: pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
- name: Install mmseg dependencies
run: |
python -V
pip install -U openmim
pip install git+https://github.com/open-mmlab/mmengine.git
mim install 'mmcv>=2.0.0rc1'
pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
- name: Install unittest dependencies
run: pip install -r requirements/tests.txt -r requirements/optional.txt
- name: Build and install
run: pip install -e .
- name: Run unittests
run: |
pip install timm
coverage run --branch --source mmseg -m pytest tests/ --ignore tests\test_models\test_forward.py tests\test_models\test_backbones\test_beit.py
- name: Generate coverage report
run: |
coverage xml
coverage report -m

2
.pre-commit-config.yaml
View File

@ -48,7 +48,7 @@ repos:
name: update-model-index
description: Collect model information and update model-index.yml
entry: .dev/md2yml.py
additional_dependencies: [mmcv, lxml, opencv-python]
additional_dependencies: [lxml, opencv-python, mmengine]
language: python
files: ^configs/.*\.md$
require_serial: true