version: 2.1 # How to test the Linux jobs: # - Install CircleCI local CLI: https://circleci.com/docs/2.0/local-cli/ # - circleci config process .circleci/config.yml > gen.yml && circleci local execute -c gen.yml --job binary_linux_wheel_py3.8 # - Replace binary_linux_wheel_py3.8 with the name of the job you want to test. # Job names are 'name:' key. executors: windows-cpu: machine: resource_class: windows.xlarge image: windows-server-2019-vs2019:stable shell: bash.exe windows-gpu: machine: resource_class: windows.gpu.nvidia.medium image: windows-server-2019-nvidia:stable shell: bash.exe commands: generate_cache_key: description: "Generates a cache key file that changes daily" steps: - run: name: Generate cache key command: echo "$(date +"%Y-%m-%d")" > .cachekey designate_upload_channel: description: "inserts the correct upload channel into ${BASH_ENV}" steps: - run: name: adding UPLOAD_CHANNEL to BASH_ENV command: | our_upload_channel=nightly # On tags upload to test instead if [[ -n "${CIRCLE_TAG}" ]] || [[ ${CIRCLE_BRANCH} =~ release/* ]]; then our_upload_channel=test fi echo "export UPLOAD_CHANNEL=${our_upload_channel}" >> ${BASH_ENV} load_conda_channel_flags: description: "Determines whether we need extra conda channels" steps: - run: name: Adding CONDA_CHANNEL_FLAGS to BASH_ENV command: | CONDA_CHANNEL_FLAGS="" # formerly used to add conda-forge flags for Python 3.9, reserving the mechanism for future python upgrades windows_install_cuda: description: "Install desired CUDA version on Windows runners" steps: - run: name: Install CUDA command: | packaging/windows/internal/cuda_install.bat binary_common: &binary_common parameters: # Edit these defaults to do a release build_version: description: "version number of release binary; by default, build a nightly" type: string default: "" pytorch_version: description: "PyTorch version to build against; by default, use a nightly" type: string default: "" # Don't edit these python_version: description: "Python version to build against (e.g., 3.8)" type: string cuda_version: description: "CUDA version to build against (e.g., cpu, cu101)" type: string default: "cpu" wheel_docker_image: description: "Wheel only: what docker image to use" type: string default: "pytorch/manylinux-cuda116" conda_docker_image: description: "Conda only: what docker image to use" type: string default: "pytorch/conda-builder:cuda116" environment: &environment PYTHON_VERSION: << parameters.python_version >> BUILD_VERSION: << parameters.build_version >> PYTORCH_VERSION: << parameters.pytorch_version >> CU_VERSION: << parameters.cuda_version >> MACOSX_DEPLOYMENT_TARGET: 10.9 smoke_test_common: &smoke_test_common <<: *binary_common docker: - image: pytorch/torchaudio_unittest_base:smoke_test-20220425 resource_class: large jobs: circleci_consistency: docker: - image: cimg/python:3.8 steps: - checkout - run: command: | pip install --user --progress-bar off jinja2 pyyaml python .circleci/regenerate.py git diff --exit-code || (echo ".circleci/config.yml not in sync with config.yml.in! Run .circleci/regenerate.py to update config"; exit 1) lint_python_and_config: docker: - image: circleci/python:3.8 steps: - checkout - run: name: Install pre-commit command: pip install --user --progress-bar off pre-commit - run: name: Install pre-commit hooks command: pre-commit install-hooks - run: name: Lint Python code and config files command: pre-commit run --all-files - run: name: Required lint modifications when: always command: git --no-pager diff --color=always download_third_parties: docker: - image: "pytorch/torchaudio_unittest_base:manylinux" resource_class: small steps: - checkout - generate_cache_key - restore_cache: keys: - tp-nix-v2-{{ checksum ".cachekey" }} - run: command: | mkdir -p third_party/archives/ wget --no-clobber --directory-prefix=third_party/archives/ $(awk '/URL /{print $2}' third_party/*/CMakeLists.txt) - save_cache: key: tp-nix-v2-{{ checksum ".cachekey" }} paths: - third_party/archives - persist_to_workspace: root: third_party paths: - archives build_ffmpeg_linux: <<: *binary_common docker: - image: << parameters.wheel_docker_image >> resource_class: 2xlarge+ steps: - checkout - generate_cache_key - restore_cache: keys: - ffmpeg-linux-v0-{{ checksum ".cachekey" }} - run: command: | export FFMPEG_ROOT=${PWD}/third_party/ffmpeg if [[ ! -d ${FFMPEG_ROOT} ]]; then packaging/ffmpeg/build.sh fi - save_cache: key: ffmpeg-linux-v0-{{ checksum ".cachekey" }} paths: - third_party/ffmpeg - persist_to_workspace: root: third_party paths: - ffmpeg build_ffmpeg_macos: <<: *binary_common macos: xcode: "14.0" steps: - checkout - generate_cache_key - restore_cache: keys: - ffmpeg-macos-v0-{{ checksum ".cachekey" }} - run: command: | export FFMPEG_ROOT=${PWD}/third_party/ffmpeg if [[ ! -d ${FFMPEG_ROOT} ]]; then packaging/ffmpeg/build.sh fi - save_cache: key: ffmpeg-macos-v0-{{ checksum ".cachekey" }} paths: - third_party/ffmpeg - persist_to_workspace: root: third_party paths: - ffmpeg build_ffmpeg_windows: <<: *binary_common machine: resource_class: windows.xlarge image: windows-server-2019-vs2019:stable # Note: # Unlike other Windows job, this job uses cmd.exe as shell because # we need to invoke bash.exe from msys2 in ffmpeg build process, and doing so # from different installation of bash.exe (the one from the VM) cause issue shell: cmd.exe steps: - checkout - run: date /t > .cachekey - restore_cache: keys: - ffmpeg-windows-{{ checksum ".cachekey" }} - run: packaging\ffmpeg\build.bat - save_cache: key: ffmpeg-windows-{{ checksum ".cachekey" }} paths: - third_party/ffmpeg - persist_to_workspace: root: third_party paths: - ffmpeg workflows: lint: jobs: - lint_python_and_config unittest: jobs: - circleci_consistency