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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119 行
3.7 KiB

# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: mlagents/envs/communicator_objects/resolution_proto.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
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name="mlagents/envs/communicator_objects/resolution_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
'\n9mlagents/envs/communicator_objects/resolution_proto.proto\x12\x14\x63ommunicator_objects"D\n\x0fResolutionProto\x12\r\n\x05width\x18\x01 \x01(\x05\x12\x0e\n\x06height\x18\x02 \x01(\x05\x12\x12\n\ngray_scale\x18\x03 \x01(\x08\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3'
),
)
_RESOLUTIONPROTO = _descriptor.Descriptor(
name="ResolutionProto",
full_name="communicator_objects.ResolutionProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="width",
full_name="communicator_objects.ResolutionProto.width",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="height",
full_name="communicator_objects.ResolutionProto.height",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="gray_scale",
full_name="communicator_objects.ResolutionProto.gray_scale",
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,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=83,
serialized_end=151,
)
DESCRIPTOR.message_types_by_name["ResolutionProto"] = _RESOLUTIONPROTO
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
ResolutionProto = _reflection.GeneratedProtocolMessageType(
"ResolutionProto",
(_message.Message,),
dict(
DESCRIPTOR=_RESOLUTIONPROTO,
__module__="mlagents.envs.communicator_objects.resolution_proto_pb2"
# @@protoc_insertion_point(class_scope:communicator_objects.ResolutionProto)
),
)
_sym_db.RegisterMessage(ResolutionProto)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)