Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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version: 2.1
executors:
python361:
docker:
- image: circleci/python:3.6.1
python373:
docker:
- image: circleci/python:3.7.3
python382:
docker:
- image: circleci/python:3.8.2
jobs:
build_python:
parameters:
executor:
type: executor
pyversion:
type: string
description: python version to being used (currently only affects caching).
pip_constraints:
type: string
description: Constraints file that is passed to "pip install". We constraint older versions of libraries for older python runtime, in order to help ensure compatibility.
executor: << parameters.executor >>
working_directory: ~/repo
# Run additional numpy checks on unit tests
environment:
TEST_ENFORCE_NUMPY_FLOAT32: 1
# Whether to raise an exception if ONNX models couldn't be saved.
TEST_ENFORCE_ONNX_CONVERSION: 1
steps:
- checkout
- run:
# Combine all the python dependencies into one file so that we can use that for the cache checksum
name: Combine pip dependencies for caching
command: cat ml-agents/setup.py ml-agents-envs/setup.py gym-unity/setup.py test_requirements.txt << parameters.pip_constraints >> > python_deps.txt
- restore_cache:
keys:
# Parameterize the cache so that different python versions can get different versions of the packages
- v1-dependencies-py<< parameters.pyversion >>-{{ checksum "python_deps.txt" }}
- run:
name: Install Dependencies
command: |
python3 -m venv venv
. venv/bin/activate
pip install --upgrade pip
pip install --upgrade setuptools
pip install --progress-bar=off -e ./ml-agents-envs -c << parameters.pip_constraints >>
pip install --progress-bar=off -e ./ml-agents -c << parameters.pip_constraints >>
pip install --progress-bar=off -r test_requirements.txt -c << parameters.pip_constraints >>
pip install --progress-bar=off -e ./gym-unity -c << parameters.pip_constraints >>
- save_cache:
paths:
- ./venv
key: v1-dependencies-py<< parameters.pyversion >>-{{ checksum "python_deps.txt" }}
- run:
name: Run Tests for ml-agents and gym_unity
# This also dumps the installed pip packages to a file, so we can see what versions are actually being used.
command: |
. venv/bin/activate
mkdir test-reports
pip freeze > test-reports/pip_versions.txt
pytest --cov=ml-agents --cov=ml-agents-envs --cov=gym-unity --cov-report html --junitxml=test-reports/junit.xml -p no:warnings
- run:
name: Verify there are no hidden/missing metafiles.
# Renaming files or deleting files can leave metafiles behind that makes Unity very unhappy.
command: |
. venv/bin/activate
python utils/validate_meta_files.py
- store_test_results:
path: test-reports
- store_artifacts:
path: test-reports
destination: test-reports
- store_artifacts:
path: htmlcov
destination: htmlcov
deploy:
parameters:
directory:
type: string
description: Local directory to use for publishing (e.g. ml-agents)
username:
type: string
description: pypi username
default: mlagents
test_repository_args:
type: string
description: Optional override repository URL. Only use for tests, leave blank for "real"
default: ""
docker:
- image: circleci/python:3.6
steps:
- checkout
- run:
name: install python dependencies
command: |
python3 -m venv venv
. venv/bin/activate
pip install --upgrade pip
pip install setuptools wheel twine
- run:
name: verify git tag vs. version
command: |
python3 -m venv venv
. venv/bin/activate
cd << parameters.directory >>
python setup.py verify
- run:
name: create packages
command: |
. venv/bin/activate
cd << parameters.directory >>
python setup.py sdist
python setup.py bdist_wheel
- run:
name: upload to pypi
# To upload to test, just add the following flag to twine upload:
# --repository-url https://test.pypi.org/legacy/
# and change the username to "mlagents-test"
command: |
. venv/bin/activate
cd << parameters.directory >>
twine upload -u << parameters.username >> -p $PYPI_PASSWORD << parameters.test_repository_args >> dist/*
workflows:
version: 2
workflow:
jobs:
- build_python:
name: python_3.6.1
executor: python361
pyversion: 3.6.1
# Test python 3.6 with the oldest supported versions
pip_constraints: test_constraints_min_version.txt
- build_python:
name: python_3.7.3
executor: python373
pyversion: 3.7.3
# Test python 3.7 with the newest supported versions of 1.x
pip_constraints: test_constraints_max_tf1_version.txt
- build_python:
name: python_3.8.2+tf2.2
executor: python382
pyversion: 3.8.2
# Test python 3.8 with the newest edge versions
pip_constraints: test_constraints_max_tf2_version.txt
# The first deploy jobs are the "real" ones that upload to pypi
- deploy:
name: deploy ml-agents-envs
directory: ml-agents-envs
filters:
tags:
# Matches e.g. "release_123"
only: /^release_[0-9]+$/
branches:
ignore: /.*/
- deploy:
name: deploy ml-agents
directory: ml-agents
filters:
tags:
# Matches e.g. "release_123"
only: /^release_[0-9]+$/
branches:
ignore: /.*/
- deploy:
name: deploy gym-unity
directory: gym-unity
filters:
tags:
# Matches e.g. "release_123"
only: /^release_[0-9]+$/
branches:
ignore: /.*/
# These deploy jobs upload to the pypi test repo. They have different tag triggers than the real ones.
- deploy:
name: test deploy ml-agents-envs
directory: ml-agents-envs
username: mlagents-test
test_repository_args: --repository-url https://test.pypi.org/legacy/
filters:
tags:
# Matches e.g. "release_123_test456
only: /^release_[0-9]+_test[0-9]+$/
branches:
ignore: /.*/
- deploy:
name: test deploy ml-agents
directory: ml-agents
username: mlagents-test
test_repository_args: --repository-url https://test.pypi.org/legacy/
filters:
tags:
# Matches e.g. "release_123_test456
only: /^release_[0-9]+_test[0-9]+$/
branches:
ignore: /.*/
- deploy:
name: test deploy gym-unity
directory: gym-unity
username: mlagents-test
test_repository_args: --repository-url https://test.pypi.org/legacy/
filters:
tags:
# Matches e.g. "release_123_test456
only: /^release_[0-9]+_test[0-9]+$/
branches:
ignore: /.*/