Spaces:
Running
Running
File size: 7,390 Bytes
186701e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 |
version: 2.1
# the default pipeline parameters, which will be updated according to
# the results of the path-filtering orb
parameters:
lint_only:
type: boolean
default: true
jobs:
lint:
docker:
- image: cimg/python:3.7.4
steps:
- checkout
- run:
name: Install pre-commit hook
command: |
pip install pre-commit
pre-commit install
- run:
name: Linting
command: pre-commit run --all-files
- run:
name: Check docstring coverage
command: |
pip install interrogate
interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-magic --ignore-regex "__repr__" --fail-under 90 mmyolo
build_cpu:
parameters:
# The python version must match available image tags in
# https://circleci.com/developer/images/image/cimg/python
python:
type: string
torch:
type: string
torchvision:
type: string
docker:
- image: cimg/python:<< parameters.python >>
resource_class: large
steps:
- checkout
- run:
name: Install Libraries
command: |
sudo apt-get update
sudo apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx libjpeg-dev zlib1g-dev libtinfo-dev libncurses5
- run:
name: Configure Python & pip
command: |
pip install --upgrade pip
pip install wheel
- run:
name: Install PyTorch
command: |
python -V
pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
- run:
name: Install ONNXRuntime
command: |
pip install onnxruntime==1.8.1
wget https://github.com/microsoft/onnxruntime/releases/download/v1.8.1/onnxruntime-linux-x64-1.8.1.tgz
tar xvf onnxruntime-linux-x64-1.8.1.tgz
- run:
name: Install mmyolo dependencies
command: |
pip install -U openmim
mim install git+https://github.com/open-mmlab/mmengine.git@main
mim install 'mmcv >= 2.0.0'
mim install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
pip install -r requirements/albu.txt
pip install -r requirements/tests.txt
- run:
name: Install mmdeploy
command: |
pip install setuptools
git clone -b dev-1.x --depth 1 https://github.com/open-mmlab/mmdeploy.git mmdeploy --recurse-submodules
wget https://github.com/Kitware/CMake/releases/download/v3.20.0/cmake-3.20.0-linux-x86_64.tar.gz
tar -xzvf cmake-3.20.0-linux-x86_64.tar.gz
sudo ln -sf $(pwd)/cmake-3.20.0-linux-x86_64/bin/* /usr/bin/
cd mmdeploy && mkdir build && cd build && cmake .. -DMMDEPLOY_TARGET_BACKENDS=ort -DONNXRUNTIME_DIR=/home/circleci/project/onnxruntime-linux-x64-1.8.1 && make -j8 && make install
export LD_LIBRARY_PATH=/home/circleci/project/onnxruntime-linux-x64-1.8.1/lib:${LD_LIBRARY_PATH}
cd /home/circleci/project/mmdeploy && python -m pip install -v -e .
- run:
name: Build and install
command: |
pip install -e .
- run:
name: Run unittests
command: |
export LD_LIBRARY_PATH=/home/circleci/project/onnxruntime-linux-x64-1.8.1/lib:${LD_LIBRARY_PATH}
pytest tests/
# coverage run --branch --source mmyolo -m pytest tests/
# coverage xml
# coverage report -m
build_cuda:
parameters:
torch:
type: string
cuda:
type: enum
enum: ["10.1", "10.2", "11.0", "11.7"]
cudnn:
type: integer
default: 7
machine:
image: ubuntu-2004-cuda-11.4:202110-01
# docker_layer_caching: true
resource_class: gpu.nvidia.small
steps:
- checkout
- run:
# Cloning repos in VM since Docker doesn't have access to the private key
name: Clone Repos
command: |
git clone -b main --depth 1 https://github.com/open-mmlab/mmengine.git /home/circleci/mmengine
git clone -b dev-3.x --depth 1 https://github.com/open-mmlab/mmdetection.git /home/circleci/mmdetection
- run:
name: Build Docker image
command: |
docker build .circleci/docker -t mmyolo:gpu --build-arg PYTORCH=<< parameters.torch >> --build-arg CUDA=<< parameters.cuda >> --build-arg CUDNN=<< parameters.cudnn >>
docker run --gpus all -t -d -v /home/circleci/project:/mmyolo -v /home/circleci/mmengine:/mmengine -v /home/circleci/mmdetection:/mmdetection -w /mmyolo --name mmyolo mmyolo:gpu
- run:
name: Install mmyolo dependencies
command: |
docker exec mmyolo pip install -U openmim
docker exec mmyolo mim install -e /mmengine
docker exec mmyolo mim install 'mmcv >= 2.0.0'
docker exec mmyolo pip install -e /mmdetection
docker exec mmyolo pip install -r requirements/albu.txt
docker exec mmyolo pip install -r requirements/tests.txt
- run:
name: Build and install
command: |
docker exec mmyolo pip install -e .
- run:
name: Run unittests
command: |
docker exec mmyolo pytest tests/
workflows:
pr_stage_lint:
when: << pipeline.parameters.lint_only >>
jobs:
- lint:
name: lint
filters:
branches:
ignore:
- main
pr_stage_test:
when:
not: << pipeline.parameters.lint_only >>
jobs:
- lint:
name: lint
filters:
branches:
ignore:
- main
- build_cpu:
name: minimum_version_cpu
torch: 1.8.0
torchvision: 0.9.0
python: 3.8.0 # The lowest python 3.7.x version available on CircleCI images
requires:
- lint
- build_cpu:
name: maximum_version_cpu
# mmdeploy not supported
# torch: 2.0.0
# torchvision: 0.15.1
torch: 1.12.1
torchvision: 0.13.1
python: 3.9.0
requires:
- minimum_version_cpu
- hold:
type: approval
requires:
- maximum_version_cpu
- build_cuda:
name: mainstream_version_gpu
torch: 1.8.1
# Use double quotation mark to explicitly specify its type
# as string instead of number
cuda: "10.2"
requires:
- hold
- build_cuda:
name: maximum_version_gpu
torch: 2.0.0
cuda: "11.7"
cudnn: 8
requires:
- hold
merge_stage_test:
when:
not: << pipeline.parameters.lint_only >>
jobs:
- build_cuda:
name: minimum_version_gpu
torch: 1.7.0
# Use double quotation mark to explicitly specify its type
# as string instead of number
cuda: "11.0"
cudnn: 8
filters:
branches:
only:
- main
|