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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# variables
# GRPC-TOOLS required. Install with `nuget install Grpc.Tools`.
# Then un-comment and replace [DIRECTORY] with location of files.
# For example, on macOS, you might have something like:
COMPILER=Grpc.Tools.1.14.1/tools/macosx_x64
# COMPILER=[DIRECTORY]
SRC_DIR=proto/mlagents/envs/communicator_objects
DST_DIR_C=cs/CommunicatorObjects
DST_DIR_P=python
PROTO_PATH=proto
PYTHON_PACKAGE=mlagents/envs/communicator_objects
# clean
rm -rf $DST_DIR_C
rm -rf $DST_DIR_P
mkdir -p $DST_DIR_C
mkdir -p $DST_DIR_P/$PYTHON_PACKAGE
# generate proto objects in python and C#
protoc --proto_path=proto --csharp_out=$DST_DIR_C $SRC_DIR/*.proto
protoc --proto_path=proto --python_out=$DST_DIR_P $SRC_DIR/*.proto
# grpc
GRPC=unity_to_external.proto
$COMPILER/protoc --proto_path=proto --csharp_out $DST_DIR_C --grpc_out $DST_DIR_C $SRC_DIR/$GRPC --plugin=protoc-gen-grpc=$COMPILER/grpc_csharp_plugin
python3 -m grpc_tools.protoc --proto_path=proto --python_out=$DST_DIR_P --grpc_python_out=$DST_DIR_P $SRC_DIR/$GRPC
# Generate the init file for the python module
# rm -f $DST_DIR_P/$PYTHON_PACKAGE/__init__.py
for FILE in $DST_DIR_P/$PYTHON_PACKAGE/*.py
do
FILE=${FILE##*/}
# echo from .$(basename $FILE) import \* >> $DST_DIR_P/$PYTHON_PACKAGE/__init__.py
echo from .${FILE%.py} import \* >> $DST_DIR_P/$PYTHON_PACKAGE/__init__.py
done