config.yml

# Python CircleCI 2.0 configuration file
#
# Check https://circleci.com/docs/2.0/language-python/ for more details
#
# Adopted from
# https://github.com/facebookresearch/detectron2/blob/master/.circleci/config.yml
#
# Pro tip: download circle ci cli to validate the config locally during development.

version: 2.1

# -------------------------------------------------------------------------------------
# Environments to run the jobs in
# -------------------------------------------------------------------------------------
cpu_py37: &cpu_py37
  docker:
    - image: circleci/python:3.7
  resource_class: medium

cpu_py38: &cpu_py38
  docker:
    - image: circleci/python:3.8
  resource_class: medium

cpu_py39: &cpu_py39
  docker:
    - image: circleci/python:3.9
  resource_class: medium

# Here are list of GPU images:
#   https://circleci.com/docs/2.0/configuration-reference/#available-linux-gpu-images
gpu: &gpu
  environment:
    CUDA_VERSION: "10.1"
  machine:
    image: ubuntu-1604-cuda-10.1:201909-23
  resource_class: gpu.large

gpu_cu111: &gpu_cu111
  environment:
    CUDA_VERSION: "11.1"
  machine:
    image: ubuntu-1604-cuda-11.1:202012-01
  resource_class: gpu.large

# -------------------------------------------------------------------------------------
# Re-usable commands
# -------------------------------------------------------------------------------------
setup_venv: &setup_venv
  - run:
      name: Setup Virtual Env
      working_directory: ~/
      command: |
        python -m venv ~/venv
        echo ". ~/venv/bin/activate" >> $BASH_ENV
        . ~/venv/bin/activate
        python --version
        which python
        which pip
        pip install --upgrade pip

install_dep_151: &install_dep_151
  - run:
      name: Install Dependencies with torch 1.5.1
      command: |
        sudo apt-get install -y libopenmpi-dev
        pip install --progress-bar off torch==1.5.1+cu101 torchvision==0.6.1+cu101 -f https://download.pytorch.org/whl/torch_stable.html
        pip install --progress-bar off -r requirements-test.txt
        pip install --progress-bar off -r requirements-benchmarks.txt
        python -c 'import torch; print("Torch version:", torch.__version__)'
        python -c 'import torch; assert torch.__version__.split(".")[:2] == ["1", "5"], "wrong torch version"'
        python -m torch.utils.collect_env

install_dep_160: &install_dep_160
  - run:
      name: Install Dependencies with torch 1.6.0
      command: |
        sudo apt-get install -y libopenmpi-dev
        pip install --progress-bar off torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
        pip install --progress-bar off -r requirements-test.txt
        pip install --progress-bar off -r requirements-benchmarks.txt
        pip install --progress-bar off git+https://github.com/msbaines/torch_pg.git@c85c96f#egg=torch-pg
        python -c 'import torch; print("Torch version:", torch.__version__)'
        python -c 'import torch; assert torch.__version__.split(".")[:2] == ["1", "6"], "wrong torch version"'
        python -m torch.utils.collect_env

install_dep_171: &install_dep_171
  - run:
      name: Install Dependencies with torch 1.7.1
      command: |
        sudo apt-get install -y libopenmpi-dev
        pip install --progress-bar off torch==1.7.1+cu101 torchvision==0.8.2+cu101 -f https://download.pytorch.org/whl/torch_stable.html
        pip install --progress-bar off -r requirements-test.txt
        pip install --progress-bar off -r requirements-benchmarks.txt
        pip install --progress-bar off git+https://github.com/msbaines/torch_pg.git@c85c96f#egg=torch-pg
        python -c 'import torch; print("Torch version:", torch.__version__)'
        python -c 'import torch; assert torch.__version__.split(".")[:2] == ["1", "7"], "wrong torch version"'
        python -m torch.utils.collect_env

install_dep_171_cu110: &install_dep_171_cu110
  - run:
      name: Install Dependencies with torch 1.7.1+cu110
      command: |
        sudo add-apt-repository universe
        sudo apt-get update
        sudo apt-get install -y libopenmpi-dev
        pip install --progress-bar off torch==1.7.1+cu110 torchvision==0.8.2+cu110 -f https://download.pytorch.org/whl/torch_stable.html
        pip install --progress-bar off -r requirements-test.txt
        pip install --progress-bar off -r requirements-benchmarks.txt
        pip install --progress-bar off git+https://github.com/msbaines/torch_pg.git@c85c96f#egg=torch-pg
        python -c 'import torch; print("Torch version:", torch.__version__)'
        python -c 'import torch; assert torch.__version__.split(".")[:2] == ["1", "7"], "wrong torch version"'
        python -m torch.utils.collect_env

install_dep_180: &install_dep_180
  - run:
      name: Install Dependencies with torch 1.8.0 nightly
      command: |
        sudo apt-get install -y libopenmpi-dev
        pip install --progress-bar off -r requirements-test.txt
        # Since we are using nightly builds, we bypass the benchmarks req file
        # and install ourselves for testing.
        #pip install --progress-bar off -r requirements-benchmarks.txt
        # torchvision nightly wants torch 1.9.
        pip install --pre --progress-bar off torchtext==0.6.0 \
          torchvision==0.9.0.dev20210222+cu112 \
          -f https://download.pytorch.org/whl/nightly/cu112/torch_nightly.html
        # we only use it a bit in benchmarking, so it might be safe to use 1.8.
        pip install --pre --progress-bar off torch==1.8.0.dev20210210+cu112 \
          -f https://download.pytorch.org/whl/nightly/cu112/torch_nightly.html
        pip install --progress-bar off  git+https://github.com/min-xu-ai/torch_pg.git@c723ab4#egg=torch-pg
        python -c 'import torch; print("Torch version:", torch.__version__)'
        python -c 'import torch; assert torch.__version__.split(".")[:2] == ["1", "8"], "wrong torch version"'
        pip list|grep torch
        python -m torch.utils.collect_env

install_repo_cpu: &install_repo_cpu
  - run:
      name: Install Repository
      command: |
        pip install .
        # Test import.
        python -c 'import sys; sys.path = sys.path[1:]; import fairscale'

install_repo_gpu: &install_repo_gpu
  - run:
      name: Install Repository
      command: |
        export CUDA_HOME=/usr/local/cuda-10.1
        pip install -e .

install_repo_gpu_cu111: &install_repo_gpu_cu111
  - run:
      name: Install Repository
      command: |
        export CUDA_HOME=/usr/local/cuda-11.1
        pip install -e .


run_isort: &run_isort
   - run:
       name: Run Linter (isort)
       command: |
         isort . --check

run_black: &run_black
   - run:
       name: Run Linter (black)
       command: |
         black --check .

run_mypy: &run_mypy
   - run:
       name: Run type-checking (mypy)
       command: |
         mypy --ignore-missing-imports --scripts-are-modules --pretty .

run_flake8: &run_flake8
  - run:
      name: Run Linter (flake8)
      command: |
        flake8 --show-source --statistics

check_test_list: &check_test_list
  - run:
      name: Verify that unit test list files are correct
      command: |
        bash ./tests/ci_test_list_check.sh


# TODO (Min): figure out how to do coverage nightly or on-demand. Doing it
# on every commit seems like an overkill since we can easily figure out which
# code is not covered without looking at coverage results from each commit.
# Also, it is a long pole for testing time, which slows down development a lot.
run_coverage: &run_coverage
  - run:
      name: Run Unit Tests With Coverage
      command: |
        pytest --junitxml=test-results/junit.xml --verbose --timeout 60 --cov-report=xml --cov=./
        #Uploading test coverage for Python code
        bash <(curl -s https://codecov.io/bash) -f coverage.xml -cF Python

run_mpi_unittests: &run_mpi_unittests
  - run:
      name: Run MPI Unit Tests
      command: |
        mpirun -n 4 python -m pytest -p torch_pg.pytest --only-mpi --junitxml=test-results/junit.xml --verbose tests/nn/moe


run_pipe_benchmark: &run_pipe_benchmark
  - run:
      name: Run Pipe Benchmark
      command: |
        python benchmarks/pipe.py

run_mp_pipe_benchmark: &run_mp_pipe_benchmark
  - run:
      name: Run Multiprocess Pipe Benchmark
      command: |
        python benchmarks/pipe.py --multiprocess --lazy-construction

run_oss_benchmark: &run_oss_benchmark
  - run:
      name: Run OSS Benchmark
      command: |
        python benchmarks/oss.py --world_size 4 --epochs 2
        python benchmarks/oss.py --check_regression --world_size 4 --optim_type oss_sharded_ddp

run_oss_gloo: &run_oss_gloo
  - run:
      name: Run OSS with Gloo
      command: |
        python benchmarks/oss.py --gloo --optim_type oss_ddp --epochs 2
        python benchmarks/oss.py --gloo --optim_type oss_sharded_ddp --epochs 2

run_oss_amp: &run_oss_amp
   - run:
       name: Run OSS with Torch AMP
       command: |
         python benchmarks/oss.py --amp --epochs 3 --optim_type oss_sharded_ddp

run_oss_for_each: &run_oss_for_each
   - run:
       name: Run OSS with Torch AMP and ForEach optmizer
       command: |
         python benchmarks/oss.py --amp --epochs 3 --optim_type oss_sharded_ddp --multi_tensor_optim


run_doc_build: &run_doc_build
   - run:
       name: Testing doc build
       command: |
         cd docs
         pip install --progress-bar off -r requirements.txt
         make help
         make singlehtml | tee make.out
         ! tail make.out | grep -q warning

# This is an alias to run all unit tests possible on a platform.
run_unittests: &run_unittests
   - run:
       name: Run all unit tests.
       # We run all and not stopping on failure on CPU since docker time is cheaper.
       command: |
         pytest --junitxml=test-results/junit.xml --verbose --timeout 60

commands:

   # This is a command (like a function) that run tests from a given test_list_file.
   # If test_list_file is not given, this results in an error.
   run_unittests_from_list:
     parameters:
       test_list_file:
         type: string
         default: "/dev/non_exist"  # Default to error out
     steps:
       - run:
           name: Run Unit Tests
           # we use pytest -x so that it stops on first failure to save GPU time, which is expensive.
           command: |
             if [ ! -f <<parameters.test_list_file>> ]; then exit 1; fi
             pytest -x --junitxml=test-results/junit.xml --verbose --timeout 60 `cat <<parameters.test_list_file>>`

# -------------------------------------------------------------------------------------
# Jobs to run
# -------------------------------------------------------------------------------------

jobs:
  cpu_tests_py37:
    <<: *cpu_py37

    working_directory: ~/fairscale

    steps:
      - checkout
      - <<: *check_test_list
      - <<: *setup_venv

      # Cache the venv directory that contains dependencies
      - restore_cache:
          keys:
            - cache-key-cpu-py37-171-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_dep_171

      - save_cache:
          paths:
            - ~/venv
          key: cache-key-cpu-py37-171-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_repo_cpu

      - <<: *run_isort
      - <<: *run_black
      - <<: *run_mypy
      - <<: *run_flake8
      - <<: *run_unittests
      - <<: *run_mpi_unittests
      - <<: *run_doc_build

      - store_test_results:
          path: test-results

  cpu_tests_py38:
    <<: *cpu_py38

    working_directory: ~/fairscale

    steps:
      - checkout
      - <<: *check_test_list
      - <<: *setup_venv

      # Cache the venv directory that contains dependencies
      - restore_cache:
          keys:
            - cache-key-cpu-py38-171-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_dep_171

      - save_cache:
          paths:
            - ~/venv
          key: cache-key-cpu-py38-171-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_repo_cpu

      - <<: *run_isort
      - <<: *run_black
      - <<: *run_mypy
      - <<: *run_flake8
      - <<: *run_unittests
      - <<: *run_mpi_unittests
      - <<: *run_doc_build

      - store_test_results:
          path: test-results

  cpu_tests_py39:
    <<: *cpu_py39

    working_directory: ~/fairscale

    steps:
      - checkout
      - <<: *check_test_list
      - <<: *setup_venv

      # Cache the venv directory that contains dependencies
      - restore_cache:
          keys:
            - cache-key-cpu-py39-180-3-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      # py3.9 doesn't work well with torch < 1.8. See this PR:
      # https://github.com/pytorch/pytorch/pull/50998
      #
      # Therefore, we test py39 with torch 1.8.0.
      - <<: *install_dep_180

      - save_cache:
          paths:
            - ~/venv
          key: cache-key-cpu-py39-180-3-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_repo_cpu

      - <<: *run_isort
      - <<: *run_black
      - <<: *run_mypy
      - <<: *run_flake8
      - <<: *run_unittests
      - <<: *run_mpi_unittests
      - <<: *run_doc_build

      - store_test_results:
          path: test-results


  gpu_tests_151:
    parameters:
      test_list_file:
        type: string
        default: "/dev/non_exist"
      
    <<: *gpu

    working_directory: ~/fairscale

    steps:
      - checkout

      - run: nvidia-smi

      - run: pyenv global 3.7.0

      - <<: *setup_venv

      # Cache the venv directory that contains dependencies
      - restore_cache:
          keys:
            - cache-key-gpu-151-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_dep_151

      - save_cache:
          paths:
            - ~/venv
          key: cache-key-gpu-151-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_repo_gpu

      - run_unittests_from_list:
          test_list_file: <<parameters.test_list_file>>

      - store_test_results:
          path: test-results

  gpu_tests_160:
    parameters:
      test_list_file:
        type: string
        default: "/dev/non_exist"

    <<: *gpu

    working_directory: ~/fairscale

    steps:
      - checkout

      - run: nvidia-smi

      - run: pyenv global 3.7.0

      - <<: *setup_venv

      # Cache the venv directory that contains dependencies
      - restore_cache:
          keys:
            - cache-key-gpu-160-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_dep_160

      - save_cache:
          paths:
            - ~/venv
          key: cache-key-gpu-160-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_repo_gpu

      - run_unittests_from_list:
          test_list_file: <<parameters.test_list_file>>

      - store_test_results:
          path: test-results

  gpu_tests_171:
    parameters:
      test_list_file:
        type: string
        default: "/dev/non_exist"

    <<: *gpu_cu111

    working_directory: ~/fairscale

    steps:
      - checkout

      - run: nvidia-smi

      # Run this to make sure we use python3 from the system.
      - run: pyenv global 3.8.6

      - <<: *setup_venv

      # Cache the venv directory that contains dependencies
      - restore_cache:
          keys:
            - cache-key-gpu-cu111-171-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_dep_171_cu110

      - save_cache:
          paths:
            - ~/venv
          key: cache-key-gpu-cu111-171-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_repo_gpu_cu111

      - run_unittests_from_list:
          test_list_file: <<parameters.test_list_file>>

      - store_test_results:
          path: test-results

  benchmarks_1:
    <<: *gpu

    working_directory: ~/fairscale

    steps:
      - checkout

      - run: nvidia-smi

      - run: pyenv uninstall -f 3.7.0

      - run: pyenv install 3.7.0

      - run: pyenv global 3.7.0

      - <<: *setup_venv

      # Cache the venv directory that contains dependencies
      - restore_cache:
          keys:
            - cache-key-benchmarks-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_dep_171

      - save_cache:
          paths:
            - ~/venv
          key: cache-key-benchmarks-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_repo_gpu

      - <<: *run_pipe_benchmark

      - <<: *run_mp_pipe_benchmark

      - <<: *run_oss_amp

      - <<: *run_oss_for_each

      - <<: *run_oss_gloo



  benchmarks_2:
    <<: *gpu

    working_directory: ~/fairscale

    steps:
      - checkout

      - run: nvidia-smi

      - run: pyenv uninstall -f 3.7.0

      - run: pyenv install 3.7.0

      - run: pyenv global 3.7.0

      - <<: *setup_venv

      # Cache the venv directory that contains dependencies
      - restore_cache:
          keys:
            - cache-key-benchmarks-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_dep_171

      - save_cache:
          paths:
            - ~/venv
          key: cache-key-benchmarks-{{ checksum "setup.py"}}-{{ checksum "requirements-test.txt"}}

      - <<: *install_repo_gpu

      - <<: *run_oss_benchmark


workflows:
  version: 2
  build:
    jobs:
      - cpu_tests_py37
      - cpu_tests_py38
      - cpu_tests_py39
      - gpu_tests_151:
          test_list_file: tests/ci_test_list_1.txt
      - gpu_tests_160:
          test_list_file: tests/ci_test_list_1.txt
      - gpu_tests_171:
          test_list_file: tests/ci_test_list_1.txt
      - gpu_tests_151:
          test_list_file: tests/ci_test_list_2.txt
      - gpu_tests_160:
          test_list_file: tests/ci_test_list_2.txt
      - gpu_tests_171:
          test_list_file: tests/ci_test_list_2.txt
      - gpu_tests_151:
          test_list_file: tests/ci_test_list_3.txt
      - gpu_tests_160:
          test_list_file: tests/ci_test_list_3.txt
      - gpu_tests_171:
          test_list_file: tests/ci_test_list_3.txt
      - benchmarks_1
      - benchmarks_2