config.yml.in

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_py3.7
#     - Replace binary_linux_wheel_py3.7 with the name of the job you want to test.
#       Job names are 'name:' key.

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., 3.7)"
      type: string
    unicode_abi:
      description: "Python 2.7 wheel only: whether or not we are cp27mu (default: no)"
      type: string
      default: ""
  environment:
    PYTHON_VERSION: << parameters.python_version >>
    BUILD_VERSION: << parameters.build_version >>
    PYTORCH_VERSION: << parameters.pytorch_version >>
    UNICODE_ABI: << parameters.unicode_abi >>
    CU_VERSION: cpu

smoke_test_common: &smoke_test_common
  <<: *binary_common
  docker:
    - image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/torchaudio/smoke_test:d26af7d0-8458-face-book-84239b5c75c0
      aws_auth:
        aws_access_key_id: ${ECR_AWS_ACCESS_KEY}
        aws_secret_access_key: ${ECR_AWS_SECRET_ACCESS_KEY}

jobs:
  circleci_consistency:
    docker:
      - image: circleci/python:3.7
    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)

  binary_linux_wheel:
    <<: *binary_common
    docker:
      - image: "pytorch/manylinux-cuda100"
    resource_class: 2xlarge+
    steps:
      - checkout
      - run: packaging/build_wheel.sh
      - store_artifacts:
          path: dist
      - persist_to_workspace:
          root: dist
          paths:
            - "*"

  binary_linux_conda:
    <<: *binary_common
    docker:
      - image: "pytorch/conda-cuda"
    resource_class: 2xlarge+
    steps:
      - checkout
      - run: packaging/build_conda.sh
      - store_artifacts:
          path: /opt/conda/conda-bld/linux-64
      - persist_to_workspace:
          root: /opt/conda/conda-bld/linux-64
          paths:
            - "*"

  binary_macos_wheel:
    <<: *binary_common
    macos:
      xcode: "9.0"
    steps:
      - checkout
      - run:
          # Cannot easily deduplicate this as source'ing activate
          # will set environment variables which we need to propagate
          # to build_wheel.sh
          command: |
            curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
            sh conda.sh -b
            source $HOME/miniconda3/bin/activate
            packaging/build_wheel.sh
      - store_artifacts:
          path: dist
      - persist_to_workspace:
          root: dist
          paths:
            - "*"

  binary_macos_conda:
    <<: *binary_common
    macos:
      xcode: "9.0"
    steps:
      - checkout
      - run:
          command: |
            curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
            sh conda.sh -b
            source $HOME/miniconda3/bin/activate
            conda install -yq conda-build
            packaging/build_conda.sh
      - store_artifacts:
          path: /Users/distiller/miniconda3/conda-bld/osx-64
      - persist_to_workspace:
          root: /Users/distiller/miniconda3/conda-bld/osx-64
          paths:
            - "*"

  # Requires org-member context
  binary_conda_upload:
    docker:
      - image: continuumio/miniconda
    steps:
      - attach_workspace:
          at: ~/workspace
      - run:
          command: |
            # Prevent credential from leaking
            conda install -yq anaconda-client
            set +x
            anaconda login \
                --username "$PYTORCH_BINARY_PJH5_CONDA_USERNAME" \
                --password "$PYTORCH_BINARY_PJH5_CONDA_PASSWORD"
            set -x
            anaconda upload ~/workspace/*.tar.bz2 -u pytorch-nightly --label main --no-progress --force

  # Requires org-member context
  binary_wheel_upload:
    docker:
      - image: circleci/python:3.7
    steps:
      - attach_workspace:
          at: ~/workspace
      - checkout
      - run:
          command: |
            pip install --user awscli
            export PATH="$HOME/.local/bin:$PATH"
            # Prevent credential from leaking
            set +x
            export AWS_ACCESS_KEY_ID="${PYTORCH_BINARY_AWS_ACCESS_KEY_ID}"
            export AWS_SECRET_ACCESS_KEY="${PYTORCH_BINARY_AWS_SECRET_ACCESS_KEY}"
            set -x
            for pkg in ~/workspace/*.whl; do
              aws s3 cp "$pkg" "s3://pytorch/whl/nightly/" --acl public-read
            done

  smoke_test_linux_conda:
    <<: *smoke_test_common
    steps:
      - attach_workspace:
          at: ~/workspace
      - run:
          name: install binaries
          command: |
            set -x
            source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
            conda install -v -y -c pytorch-nightly pytorch
            conda install -v -y $(ls ~/workspace/torchaudio*.tar.bz2)
      - run:
          name: smoke test
          command: |
            source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
            python -c "import torchaudio"

  smoke_test_linux_pip:
    <<: *smoke_test_common
    steps:
      - attach_workspace:
          at: ~/workspace
      - run:
          name: install binaries
          command: |
            set -x
            source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
            pip install $(ls ~/workspace/torchaudio*.whl) -f https://download.pytorch.org/whl/nightly/torch_nightly.html
      - run:
          name: smoke test
          command: |
            source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
            python -c "import torchaudio"

  docker_image_build:
    machine:
      image: ubuntu-1604:201903-01
    resource_class: large
    environment:
      image_name: torchaudio/smoke_test
    steps:
      - checkout
      - run:
          name: build_docker image
          no_output_timeout: "1h"
          command: |
            cd .circleci/docker && docker build . -t ${image_name}:${CIRCLE_WORKFLOW_ID}
      - run:
          name: upload docker image
          no_output_timeout: "1h"
          command: |
            set +x
            export AWS_ACCESS_KEY_ID=${ECR_AWS_ACCESS_KEY}
            export AWS_SECRET_ACCESS_KEY=${ECR_AWS_SECRET_ACCESS_KEY}
            eval $(aws ecr get-login --region us-east-1 --no-include-email)
            set -x
            docker tag ${image_name}:${CIRCLE_WORKFLOW_ID} 308535385114.dkr.ecr.us-east-1.amazonaws.com/${image_name}:${CIRCLE_WORKFLOW_ID}
            docker push 308535385114.dkr.ecr.us-east-1.amazonaws.com/${image_name}:${CIRCLE_WORKFLOW_ID}

workflows:
  build:
{%- if True %}
    jobs:
      - circleci_consistency
      {{ workflows() }}

  nightly:
{%- endif %}
    jobs:
      - circleci_consistency
      {{ workflows(prefix="nightly_", filter_branch="nightly", upload=True) }}
  docker_build:
    triggers:
      - schedule:
          cron: "0 10 * * 0"
          filters:
            branches:
              only:
                - master
    jobs:
      - docker_image_build