[CI]: Fix circle ci (#9560)

* fix master circle ci * update * update * update * update * fix * cmake * onnx * fix albu install * fix * fix * fix * fix * update * fix * fix * fix * update * fix * update * fix * fix * finally fix ci
open-mmlab · Jan 5, 2023 · db63ceb · db63ceb
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diff --git a/.circleci/config.yml b/.circleci/config.yml
@@ -1,162 +1,34 @@
 version: 2.1
 
-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-regex "__repr__" --fail-under 50 mmdet
+# this allows you to use CircleCI's dynamic configuration feature
+setup: true
 
-  build_cpu:
-    parameters:
-      # The python version must match available image tags in
-      # https://circleci.com/developer/images/image/cimg/python
-      python:
-        type: string
-        default: "3.7.4"
-      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
-      - when:
-          condition:
-            equal: [ "3.9.0", << parameters.python >> ]
-          steps:
-            - run: pip install "protobuf <= 3.20.1" && sudo apt-get update && sudo apt-get -y install libprotobuf-dev protobuf-compiler cmake
-      - run:
-          name: Install mmdet dependencies
-          command: |
-            pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch<< parameters.torch >>/index.html
-            pip install -r requirements/tests.txt -r requirements/optional.txt
-            pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
-            pip install git+https://github.com/cocodataset/panopticapi.git
-      - run:
-          name: Build and install
-          command: |
-            pip install -e .
-      - run:
-          name: Run unittests
-          command: |
-            coverage run --branch --source mmdet -m pytest tests/
-            coverage xml
-            coverage report -m
-
-  build_cu101:
-    machine:
-      image: ubuntu-1604-cuda-10.1:201909-23
-    resource_class: gpu.nvidia.small
-    steps:
-      - checkout
-      - run:
-          name: Install Libraries
-          command: |
-            sudo apt-get update
-            sudo apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx
-      - run:
-          name: Configure Python & pip
-          command: |
-            pyenv global 3.7.0
-            pip install --upgrade pip
-            pip install wheel
-      - run:
-          name: Install PyTorch
-          command: |
-            python -V
-            pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
-      - run:
-          name: Install mmdet dependencies
-          # pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch${{matrix.torch_version}}/index.html
-          command: |
-            pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
-            pip install -r requirements/tests.txt -r requirements/optional.txt
-            pip install pycocotools
-            pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
-            pip install git+https://github.com/cocodataset/panopticapi.git
-            python -c 'import mmcv; print(mmcv.__version__)'
-      - run:
-          name: Build and install
-          command: |
-            python setup.py check -m -s
-            TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
-      - run:
-          name: Run unittests
-          command: |
-            pytest tests/
+# the path-filtering orb is required to continue a pipeline based on
+# the path of an updated fileset
+orbs:
+  path-filtering: circleci/[email protected]
 
 workflows:
-  unit_tests:
+  # the always-run workflow is always triggered, regardless of the pipeline parameters.
+  always-run:
     jobs:
-      - lint
-      - build_cpu:
-          name: build_cpu_th1.6
-          torch: 1.6.0
-          torchvision: 0.7.0
-          requires:
-            - lint
-      - build_cpu:
-          name: build_cpu_th1.7
-          torch: 1.7.0
-          torchvision: 0.8.1
-          requires:
-            - lint
-      - build_cpu:
-          name: build_cpu_th1.8_py3.9
-          torch: 1.8.0
-          torchvision: 0.9.0
-          python: "3.9.0"
-          requires:
-            - lint
-      - build_cpu:
-          name: build_cpu_th1.9_py3.8
-          torch: 1.9.0
-          torchvision: 0.10.0
-          python: "3.8.12"
-          requires:
-            - lint
-      - build_cpu:
-          name: build_cpu_th1.9_py3.9
-          torch: 1.9.0
-          torchvision: 0.10.0
-          python: "3.9.0"
-          requires:
-            - lint
-      - build_cu101:
-          requires:
-            - build_cpu_th1.6
-            - build_cpu_th1.7
-            - build_cpu_th1.8_py3.9
-            - build_cpu_th1.9_py3.8
-            - build_cpu_th1.9_py3.9
+      # the path-filtering/filter job determines which pipeline
+      # parameters to update.
+      - path-filtering/filter:
+          name: check-updated-files
+          # 3-column, whitespace-delimited mapping. One mapping per
+          # line:
+          # <regex path-to-test> <parameter-to-set> <value-of-pipeline-parameter>
+          mapping: |
+            mmdet/.* lint_only false
+            requirements/.* lint_only false
+            tests/.* lint_only false
+            tools/.* lint_only false
+            configs/.* lint_only false
+            .circleci/.* lint_only false
+          base-revision: master
+          # this is the path of the configuration we should trigger once
+          # path filtering and pipeline parameter value updates are
+          # complete. In this case, we are using the parent dynamic
+          # configuration itself.
+          config-path: .circleci/test.yml
diff --git a/.circleci/docker/Dockerfile b/.circleci/docker/Dockerfile
@@ -0,0 +1,11 @@
+ARG PYTORCH="1.8.1"
+ARG CUDA="10.2"
+ARG CUDNN="7"
+
+FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
+
+# To fix GPG key error when running apt-get update
+RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
+RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
+
+RUN apt-get update && apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx git
diff --git a/.circleci/scripts/get_mmcv_var.sh b/.circleci/scripts/get_mmcv_var.sh
@@ -0,0 +1,19 @@
+#!/bin/bash
+
+TORCH=$1
+CUDA=$2
+
+# 10.2 -> cu102
+MMCV_CUDA="cu`echo ${CUDA} | tr -d '.'`"
+
+# MMCV only provides pre-compiled packages for torch 1.x.0
+# which works for any subversions of torch 1.x.
+# We force the torch version to be 1.x.0 to ease package searching
+# and avoid unnecessary rebuild during MMCV's installation.
+TORCH_VER_ARR=(${TORCH//./ })
+TORCH_VER_ARR[2]=0
+printf -v MMCV_TORCH "%s." "${TORCH_VER_ARR[@]}"
+MMCV_TORCH=${MMCV_TORCH%?}  # Remove the last dot
+
+echo "export MMCV_CUDA=${MMCV_CUDA}" >> $BASH_ENV
+echo "export MMCV_TORCH=${MMCV_TORCH}" >> $BASH_ENV