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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# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: mlagents_envs/communicator_objects/capabilities.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()
DESCRIPTOR = _descriptor.FileDescriptor(
name='mlagents_envs/communicator_objects/capabilities.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n5mlagents_envs/communicator_objects/capabilities.proto\x12\x14\x63ommunicator_objects\"}\n\x18UnityRLCapabilitiesProto\x12\x1a\n\x12\x62\x61seRLCapabilities\x18\x01 \x01(\x08\x12#\n\x1b\x63oncatenatedPngObservations\x18\x02 \x01(\x08\x12 \n\x18\x63ompressedChannelMapping\x18\x03 \x01(\x08\x42%\xaa\x02\"Unity.MLAgents.CommunicatorObjectsb\x06proto3')
)
_UNITYRLCAPABILITIESPROTO = _descriptor.Descriptor(
name='UnityRLCapabilitiesProto',
full_name='communicator_objects.UnityRLCapabilitiesProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='baseRLCapabilities', full_name='communicator_objects.UnityRLCapabilitiesProto.baseRLCapabilities', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='concatenatedPngObservations', full_name='communicator_objects.UnityRLCapabilitiesProto.concatenatedPngObservations', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='compressedChannelMapping', full_name='communicator_objects.UnityRLCapabilitiesProto.compressedChannelMapping', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
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=79,
serialized_end=204,
)
DESCRIPTOR.message_types_by_name['UnityRLCapabilitiesProto'] = _UNITYRLCAPABILITIESPROTO
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
UnityRLCapabilitiesProto = _reflection.GeneratedProtocolMessageType('UnityRLCapabilitiesProto', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLCAPABILITIESPROTO,
__module__ = 'mlagents_envs.communicator_objects.capabilities_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLCapabilitiesProto)
))
_sym_db.RegisterMessage(UnityRLCapabilitiesProto)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\"Unity.MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)