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MeowZhengMeowZheng
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[Fix]Fix circile ci env (open-mmlab#2467)
## Motivation 1. circle ci failed without zlib1g-dev installation 3. add approve button ## Modification 1. .circleci/
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‎.circleci/config.yml‎

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version: 2.1
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jobs:
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lint:
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docker:
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- image: cimg/python:3.7.4
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steps:
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- checkout
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- run:
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name: Install dependencies
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command: |
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sudo apt-add-repository ppa:brightbox/ruby-ng -y
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sudo apt-get update
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sudo apt-get install -y ruby2.7
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- run:
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name: Install pre-commit hook
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command: |
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pip install pre-commit
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pre-commit install
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- run:
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name: Linting
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command: pre-commit run --all-files
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- run:
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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-regex "__repr__" --fail-under 50 mmseg
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# this allows you to use CircleCI's dynamic configuration feature
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setup: true
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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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# https://circleci.com/developer/images/image/cimg/python
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python:
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type: string
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default: "3.7.4"
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torch:
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type: string
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torchvision:
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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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steps:
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- checkout
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- run:
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name: Install Libraries
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command: |
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sudo apt-get update
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sudo apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx libjpeg-dev zlib1g-dev libtinfo-dev libncurses5
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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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- 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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- run:
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name: Install mmseg dependencies
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command: |
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python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch<< parameters.torch >>/index.html
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python -m pip install -r requirements.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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- run:
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name: Run unittests but skip timm unittests
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command: |
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python -m coverage run --branch --source mmseg -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
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python -m coverage xml
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python -m coverage report -m
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build_cu101:
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machine:
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image: ubuntu-1604-cuda-10.1:201909-23
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resource_class: gpu.nvidia.small
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steps:
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- checkout
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- run:
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name: Install Libraries
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command: |
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sudo apt-get update
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sudo apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx
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- run:
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name: Configure Python & pip
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command: |
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pyenv global 3.7.0
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python -m pip install --upgrade pip
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python -m 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==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
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- run:
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name: Install mmseg dependencies
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# python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch${{matrix.torch_version}}/index.html
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command: |
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python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
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python -m pip install -r requirements.txt
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- run:
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name: Build and install
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command: |
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python setup.py check -m -s
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TORCH_CUDA_ARCH_LIST=7.0 python -m pip install -e .
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- run:
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name: Run unittests but skip timm unittests
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command: |
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python -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
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# the path-filtering orb is required to continue a pipeline based on
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# the path of an updated fileset
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orbs:
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path-filtering: circleci/[email protected]
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workflows:
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unit_tests:
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# the always-run workflow is always triggered, regardless of the pipeline parameters.
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always-run:
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jobs:
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- lint
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- build_cpu:
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name: build_cpu_th1.6
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torch: 1.6.0
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torchvision: 0.7.0
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requires:
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- lint
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- build_cpu:
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name: build_cpu_th1.7
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torch: 1.7.0
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torchvision: 0.8.1
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requires:
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- lint
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- build_cpu:
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name: build_cpu_th1.8_py3.9
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torch: 1.8.0
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torchvision: 0.9.0
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python: "3.9.0"
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requires:
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- lint
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- build_cpu:
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name: build_cpu_th1.9_py3.8
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torch: 1.9.0
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torchvision: 0.10.0
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python: "3.8.0"
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requires:
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- lint
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- build_cpu:
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name: build_cpu_th1.9_py3.9
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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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requires:
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- lint
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- build_cu101:
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requires:
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- build_cpu_th1.6
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- build_cpu_th1.7
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- build_cpu_th1.8_py3.9
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- build_cpu_th1.9_py3.8
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- build_cpu_th1.9_py3.9
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# the path-filtering/filter job determines which pipeline
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# parameters to update.
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- path-filtering/filter:
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name: check-updated-files
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# 3-column, whitespace-delimited mapping. One mapping per
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# line:
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# <regex path-to-test> <parameter-to-set> <value-of-pipeline-parameter>
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mapping: |
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mmseg/.* lint_only false
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requirements/.* lint_only false
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tests/.* lint_only false
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tools/.* lint_only false
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configs/.* lint_only false
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.circleci/.* lint_only false
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base-revision: master
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# this is the path of the configuration we should trigger once
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# path filtering and pipeline parameter value updates are
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# complete. In this case, we are using the parent dynamic
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# configuration itself.
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config-path: .circleci/test.yml

‎.circleci/docker/Dockerfile‎

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ARG PYTORCH="1.8.1"
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ARG CUDA="10.2"
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ARG CUDNN="7"
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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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# To fix GPG key error when running apt-get update
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RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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RUN apt-get update && apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx

‎.circleci/scripts/get_mmcv_var.sh‎

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#!/bin/bash
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TORCH=$1
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CUDA=$2
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# 10.2 -> cu102
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MMCV_CUDA="cu`echo ${CUDA} | tr -d '.'`"
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# MMCV only provides pre-compiled packages for torch 1.x.0
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# which works for any subversions of torch 1.x.
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# We force the torch version to be 1.x.0 to ease package searching
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# and avoid unnecessary rebuild during MMCV's installation.
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TORCH_VER_ARR=(${TORCH//./ })
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TORCH_VER_ARR[2]=0
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printf -v MMCV_TORCH "%s." "${TORCH_VER_ARR[@]}"
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MMCV_TORCH=${MMCV_TORCH%?} # Remove the last dot
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echo "export MMCV_CUDA=${MMCV_CUDA}" >> $BASH_ENV
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echo "export MMCV_TORCH=${MMCV_TORCH}" >> $BASH_ENV

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