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lint.yml
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# name: Lint
# on:
# pull_request:
# push:
# branches:
# - nightly
# - main
# - release/*
# workflow_dispatch:
# jobs:
# python-source-and-configs:
# uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
# with:
# repository: pytorch/vision
# test-infra-ref: main
# script: |
# set -euo pipefail
# echo '::group::Setup environment'
# CONDA_PATH=$(which conda)
# eval "$(${CONDA_PATH} shell.bash hook)"
# conda create --name ci --quiet --yes python=3.8 pip
# conda activate ci
# echo '::endgroup::'
# echo '::group::Install lint tools'
# pip install --progress-bar=off pre-commit
# echo '::endgroup::'
# set +e
# pre-commit run --all-files
# if [ $? -ne 0 ]; then
# git --no-pager diff
# exit 1
# fi
# c-source:
# uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
# with:
# repository: pytorch/vision
# test-infra-ref: main
# script: |
# set -euo pipefail
# echo '::group::Setup environment'
# CONDA_PATH=$(which conda)
# eval "$(${CONDA_PATH} shell.bash hook)"
# # clang-format needs some shared libraries that conflict with the system ones. Thus, we install them from conda
# # and prepend the libraries to linker path to prioritize them. `ncurses=5` is only available on the conda-forge
# # channel. Since we are not building or testing here, this is fine.
# conda create --name ci --quiet --yes -c conda-forge python=3.8 ncurses=5 libgcc
# conda activate ci
# export LD_LIBRARY_PATH="${CONDA_PREFIX}/lib:${LD_LIBRARY_PATH}"
# echo '::endgroup::'
# echo '::group::Install lint tools'
# curl https://oss-clang-format.s3.us-east-2.amazonaws.com/linux64/clang-format-linux64 -o ./clang-format
# chmod +x ./clang-format
# echo '::endgroup::'
# echo '::group::Lint C source'
# set +e
# ./.github/scripts/run-clang-format.py -r torchvision/csrc --clang-format-executable ./clang-format --exclude "torchvision/csrc/io/image/cpu/giflib/*"
# if [ $? -ne 0 ]; then
# git --no-pager diff
# exit 1
# fi
# echo '::endgroup::'
# python-types:
# uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
# with:
# repository: pytorch/vision
# test-infra-ref: main
# script: |
# set -euo pipefail
# export PYTHON_VERSION=3.8
# export GPU_ARCH_TYPE=cpu
# export GPU_ARCH_VERSION=''
# ./.github/scripts/setup-env.sh
# CONDA_PATH=$(which conda)
# eval "$(${CONDA_PATH} shell.bash hook)"
# conda activate ci
# echo '::group::Install lint tools'
# pip install --progress-bar=off mypy
# echo '::endgroup::'
# echo '::group::Lint Python types'
# mypy --install-types --non-interactive --config-file mypy.ini
# echo '::endgroup::'
# bc:
# if: github.event.pull_request
# runs-on: ubuntu-latest
# steps:
# - name: Run BC Lint Action
# uses: pytorch/test-infra/.github/actions/bc-lint@main
# with:
# repo: ${{ github.event.pull_request.head.repo.full_name }}
# base_sha: ${{ github.event.pull_request.base.sha }}
# head_sha: ${{ github.event.pull_request.head.sha }}