Spaces:
Runtime error
Runtime error
File size: 5,170 Bytes
d4f8fc2 |
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 |
# Python CircleCI 2.0 configuration file
#
# Check https://circleci.com/docs/2.0/language-python/ for more details
#
version: 2
# -------------------------------------------------------------------------------------
# Environments to run the jobs in
# -------------------------------------------------------------------------------------
cpu: &cpu
docker:
- image: circleci/python:3.6.8-stretch
resource_class: medium
gpu: &gpu
machine:
image: ubuntu-1604:201903-01
docker_layer_caching: true
resource_class: gpu.small
# -------------------------------------------------------------------------------------
# Re-usable commands
# -------------------------------------------------------------------------------------
install_python: &install_python
- run:
name: Install Python
working_directory: ~/
command: |
pyenv install 3.6.1
pyenv global 3.6.1
setup_venv: &setup_venv
- run:
name: Setup Virtual Env
working_directory: ~/
command: |
python -m venv ~/venv
echo ". ~/venv/bin/activate" >> $BASH_ENV
. ~/venv/bin/activate
python --version
which python
which pip
pip install --upgrade pip
install_dep: &install_dep
- run:
name: Install Dependencies
command: |
pip install --progress-bar off -U 'git+https://github.com/facebookresearch/fvcore'
pip install --progress-bar off cython opencv-python
pip install --progress-bar off 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
pip install --progress-bar off torch torchvision
install_detectron2: &install_detectron2
- run:
name: Install Detectron2
command: |
gcc --version
pip install -U --progress-bar off -e .[dev]
python -m detectron2.utils.collect_env
install_nvidia_driver: &install_nvidia_driver
- run:
name: Install nvidia driver
working_directory: ~/
command: |
wget -q 'https://s3.amazonaws.com/ossci-linux/nvidia_driver/NVIDIA-Linux-x86_64-430.40.run'
sudo /bin/bash ./NVIDIA-Linux-x86_64-430.40.run -s --no-drm
nvidia-smi
run_unittests: &run_unittests
- run:
name: Run Unit Tests
command: |
python -m unittest discover -v -s tests
# -------------------------------------------------------------------------------------
# Jobs to run
# -------------------------------------------------------------------------------------
jobs:
cpu_tests:
<<: *cpu
working_directory: ~/detectron2
steps:
- checkout
- <<: *setup_venv
# Cache the venv directory that contains dependencies
- restore_cache:
keys:
- cache-key-{{ .Branch }}-ID-20200425
- <<: *install_dep
- save_cache:
paths:
- ~/venv
key: cache-key-{{ .Branch }}-ID-20200425
- <<: *install_detectron2
- run:
name: isort
command: |
isort -c -sp .
- run:
name: black
command: |
black --check -l 100 .
- run:
name: flake8
command: |
flake8 .
- <<: *run_unittests
gpu_tests:
<<: *gpu
working_directory: ~/detectron2
steps:
- checkout
- <<: *install_nvidia_driver
- run:
name: Install nvidia-docker
working_directory: ~/
command: |
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update && sudo apt-get install -y nvidia-docker2
# reload the docker daemon configuration
sudo pkill -SIGHUP dockerd
- run:
name: Launch docker
working_directory: ~/detectron2/docker
command: |
nvidia-docker build -t detectron2:v0 -f Dockerfile-circleci .
nvidia-docker run -itd --name d2 detectron2:v0
docker exec -it d2 nvidia-smi
- run:
name: Build Detectron2
command: |
docker exec -it d2 pip install 'git+https://github.com/facebookresearch/fvcore'
docker cp ~/detectron2 d2:/detectron2
# This will build d2 for the target GPU arch only
docker exec -it d2 pip install -e /detectron2
docker exec -it d2 python3 -m detectron2.utils.collect_env
docker exec -it d2 python3 -c 'import torch; assert(torch.cuda.is_available())'
- run:
name: Run Unit Tests
command: |
docker exec -e CIRCLECI=true -it d2 python3 -m unittest discover -v -s /detectron2/tests
workflows:
version: 2
regular_test:
jobs:
- cpu_tests
- gpu_tests
#nightly_test:
#jobs:
#- gpu_tests
#triggers:
#- schedule:
#cron: "0 0 * * *"
#filters:
#branches:
#only:
#- master
|