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
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
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" }}
# fallback to using the latest cache if no exact match is found
- v1-dependencies-py<< parameters.pyversion >>-
- 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: Check Code Style using pre-commit
command: |
. venv/bin/activate
pre-commit run --show-diff-on-failure --all-files
- 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
markdown_link_check:
docker:
- image: circleci/node:12.6.0
working_directory: ~/repo
steps:
- checkout
- restore_cache:
keys:
- v1-node-dependencies-{{ checksum ".pre-commit-config.yaml" }}
# fallback to using the latest cache if no exact match is found
- v1-node-dependencies-
- run:
name: Install Dependencies
command: |
sudo apt-get install python3-venv
python3 -m venv venv
. venv/bin/activate
pip install pre-commit
- run: sudo npm install -g markdown-link-check
- save_cache:
paths:
- ./venv
key: v1-node-dependencies-{{ checksum ".pre-commit-config.yaml" }}
- run:
name: Run markdown-link-check via precommit
command: |
. venv/bin/activate
pre-commit run --hook-stage manual markdown-link-check --all-files
protobuf_generation_check:
docker:
- image: circleci/python:3.7.3
working_directory: ~/repo/
steps:
- checkout
- run:
name: Combine proto files for caching
command: cat protobuf-definitions/proto/mlagents/envs/communicator_objects/*.proto > /tmp/proto_deps.txt
- restore_cache:
keys:
- v1-protobuf-gen-dependencies-{{ checksum "/tmp/proto_deps.txt" }}
- v1-protobuf-gen-dependencies-
- run:
name: Install Dependencies
command: |
sudo apt-get install nuget
nuget install Grpc.Tools -Version 1.14.1 -OutputDirectory protobuf-definitions/
python3 -m venv venv
. venv/bin/activate
pip install --upgrade pip
pip install grpcio-tools==1.13.0 --progress-bar=off
pip install mypy-protobuf --progress-bar=off
- save_cache:
paths:
- ./venv
key: v1-protobuf-gen-dependencies-{{ checksum "/tmp/proto_deps.txt" }}
- run:
name: Generate protobufs
command: |
. venv/bin/activate
cd protobuf-definitions
chmod +x Grpc.Tools.1.14.1/tools/linux_x64/protoc
chmod +x Grpc.Tools.1.14.1/tools/linux_x64/grpc_csharp_plugin
COMPILER=Grpc.Tools.1.14.1/tools/linux_x64 ./make.sh
git diff --exit-code --quiet -- :/ ':(exclude,top)UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/*.meta' \
|| { GIT_ERR=$?; echo "protobufs need to be regenerated, apply the patch uploaded to artifacts."; \
echo "Apply the patch with the command: git apply proto.patch"; \
git diff -- :/ ':(exclude,top)UnitySDK/Assets/ML-Agents/Scripts/CommunicatorObjects/*.meta' > /tmp/proto.patch; \
exit $GIT_ERR; }
- store_artifacts:
path: /tmp/proto.patch
destination: proto.patch
workflows:
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
pip_constraints: test_constraints_max_version.txt
- markdown_link_check
- protobuf_generation_check