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。
您最多选择25个主题 主题必须以中文或者字母或数字开头,可以包含连字符 (-),并且长度不得超过35个字符
 
 
 
 
 

111 行
5.8 KiB

# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: mlagents_envs/communicator_objects/unity_rl_initialization_output.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from mlagents_envs.communicator_objects import capabilities_pb2 as mlagents__envs_dot_communicator__objects_dot_capabilities__pb2
from mlagents_envs.communicator_objects import brain_parameters_pb2 as mlagents__envs_dot_communicator__objects_dot_brain__parameters__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='mlagents_envs/communicator_objects/unity_rl_initialization_output.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\nGmlagents_envs/communicator_objects/unity_rl_initialization_output.proto\x12\x14\x63ommunicator_objects\x1a\x35mlagents_envs/communicator_objects/capabilities.proto\x1a\x39mlagents_envs/communicator_objects/brain_parameters.proto\"\x8c\x02\n UnityRLInitializationOutputProto\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1d\n\x15\x63ommunication_version\x18\x02 \x01(\t\x12\x10\n\x08log_path\x18\x03 \x01(\t\x12\x44\n\x10\x62rain_parameters\x18\x05 \x03(\x0b\x32*.communicator_objects.BrainParametersProto\x12\x17\n\x0fpackage_version\x18\x07 \x01(\t\x12\x44\n\x0c\x63\x61pabilities\x18\x08 \x01(\x0b\x32..communicator_objects.UnityRLCapabilitiesProtoJ\x04\x08\x06\x10\x07\x42%\xaa\x02\"Unity.MLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents__envs_dot_communicator__objects_dot_capabilities__pb2.DESCRIPTOR,mlagents__envs_dot_communicator__objects_dot_brain__parameters__pb2.DESCRIPTOR,])
_UNITYRLINITIALIZATIONOUTPUTPROTO = _descriptor.Descriptor(
name='UnityRLInitializationOutputProto',
full_name='communicator_objects.UnityRLInitializationOutputProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='communicator_objects.UnityRLInitializationOutputProto.name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='communication_version', full_name='communicator_objects.UnityRLInitializationOutputProto.communication_version', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='log_path', full_name='communicator_objects.UnityRLInitializationOutputProto.log_path', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='brain_parameters', full_name='communicator_objects.UnityRLInitializationOutputProto.brain_parameters', index=3,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='package_version', full_name='communicator_objects.UnityRLInitializationOutputProto.package_version', index=4,
number=7, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='capabilities', full_name='communicator_objects.UnityRLInitializationOutputProto.capabilities', index=5,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=212,
serialized_end=480,
)
_UNITYRLINITIALIZATIONOUTPUTPROTO.fields_by_name['brain_parameters'].message_type = mlagents__envs_dot_communicator__objects_dot_brain__parameters__pb2._BRAINPARAMETERSPROTO
_UNITYRLINITIALIZATIONOUTPUTPROTO.fields_by_name['capabilities'].message_type = mlagents__envs_dot_communicator__objects_dot_capabilities__pb2._UNITYRLCAPABILITIESPROTO
DESCRIPTOR.message_types_by_name['UnityRLInitializationOutputProto'] = _UNITYRLINITIALIZATIONOUTPUTPROTO
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
UnityRLInitializationOutputProto = _reflection.GeneratedProtocolMessageType('UnityRLInitializationOutputProto', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLINITIALIZATIONOUTPUTPROTO,
__module__ = 'mlagents_envs.communicator_objects.unity_rl_initialization_output_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInitializationOutputProto)
))
_sym_db.RegisterMessage(UnityRLInitializationOutputProto)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\"Unity.MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)