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97 行
5.7 KiB
97 行
5.7 KiB
# @generated by generate_proto_mypy_stubs.py. Do not edit!
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import sys
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from google.protobuf.descriptor import (
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Descriptor as google___protobuf___descriptor___Descriptor,
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)
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from google.protobuf.message import (
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Message as google___protobuf___message___Message,
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)
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from typing import (
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Optional as typing___Optional,
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Text as typing___Text,
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)
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from typing_extensions import (
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Literal as typing_extensions___Literal,
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)
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builtin___bool = bool
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builtin___bytes = bytes
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builtin___float = float
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builtin___int = int
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class TrainingEnvironmentInitialized(google___protobuf___message___Message):
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DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
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mlagents_version = ... # type: typing___Text
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mlagents_envs_version = ... # type: typing___Text
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python_version = ... # type: typing___Text
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torch_version = ... # type: typing___Text
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torch_device_type = ... # type: typing___Text
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num_envs = ... # type: builtin___int
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num_environment_parameters = ... # type: builtin___int
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def __init__(self,
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*,
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mlagents_version : typing___Optional[typing___Text] = None,
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mlagents_envs_version : typing___Optional[typing___Text] = None,
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python_version : typing___Optional[typing___Text] = None,
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torch_version : typing___Optional[typing___Text] = None,
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torch_device_type : typing___Optional[typing___Text] = None,
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num_envs : typing___Optional[builtin___int] = None,
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num_environment_parameters : typing___Optional[builtin___int] = None,
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) -> None: ...
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@classmethod
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def FromString(cls, s: builtin___bytes) -> TrainingEnvironmentInitialized: ...
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def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
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def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
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if sys.version_info >= (3,):
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def ClearField(self, field_name: typing_extensions___Literal[u"mlagents_envs_version",u"mlagents_version",u"num_environment_parameters",u"num_envs",u"python_version",u"torch_device_type",u"torch_version"]) -> None: ...
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else:
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def ClearField(self, field_name: typing_extensions___Literal[u"mlagents_envs_version",b"mlagents_envs_version",u"mlagents_version",b"mlagents_version",u"num_environment_parameters",b"num_environment_parameters",u"num_envs",b"num_envs",u"python_version",b"python_version",u"torch_device_type",b"torch_device_type",u"torch_version",b"torch_version"]) -> None: ...
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class TrainingBehaviorInitialized(google___protobuf___message___Message):
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DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
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behavior_name = ... # type: typing___Text
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trainer_type = ... # type: typing___Text
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extrinsic_reward_enabled = ... # type: builtin___bool
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gail_reward_enabled = ... # type: builtin___bool
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curiosity_reward_enabled = ... # type: builtin___bool
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rnd_reward_enabled = ... # type: builtin___bool
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behavioral_cloning_enabled = ... # type: builtin___bool
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recurrent_enabled = ... # type: builtin___bool
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visual_encoder = ... # type: typing___Text
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num_network_layers = ... # type: builtin___int
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num_network_hidden_units = ... # type: builtin___int
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trainer_threaded = ... # type: builtin___bool
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self_play_enabled = ... # type: builtin___bool
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curriculum_enabled = ... # type: builtin___bool
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def __init__(self,
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*,
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behavior_name : typing___Optional[typing___Text] = None,
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trainer_type : typing___Optional[typing___Text] = None,
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extrinsic_reward_enabled : typing___Optional[builtin___bool] = None,
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gail_reward_enabled : typing___Optional[builtin___bool] = None,
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curiosity_reward_enabled : typing___Optional[builtin___bool] = None,
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rnd_reward_enabled : typing___Optional[builtin___bool] = None,
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behavioral_cloning_enabled : typing___Optional[builtin___bool] = None,
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recurrent_enabled : typing___Optional[builtin___bool] = None,
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visual_encoder : typing___Optional[typing___Text] = None,
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num_network_layers : typing___Optional[builtin___int] = None,
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num_network_hidden_units : typing___Optional[builtin___int] = None,
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trainer_threaded : typing___Optional[builtin___bool] = None,
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self_play_enabled : typing___Optional[builtin___bool] = None,
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curriculum_enabled : typing___Optional[builtin___bool] = None,
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) -> None: ...
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@classmethod
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def FromString(cls, s: builtin___bytes) -> TrainingBehaviorInitialized: ...
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def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
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def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
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if sys.version_info >= (3,):
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def ClearField(self, field_name: typing_extensions___Literal[u"behavior_name",u"behavioral_cloning_enabled",u"curiosity_reward_enabled",u"curriculum_enabled",u"extrinsic_reward_enabled",u"gail_reward_enabled",u"num_network_hidden_units",u"num_network_layers",u"recurrent_enabled",u"rnd_reward_enabled",u"self_play_enabled",u"trainer_threaded",u"trainer_type",u"visual_encoder"]) -> None: ...
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else:
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def ClearField(self, field_name: typing_extensions___Literal[u"behavior_name",b"behavior_name",u"behavioral_cloning_enabled",b"behavioral_cloning_enabled",u"curiosity_reward_enabled",b"curiosity_reward_enabled",u"curriculum_enabled",b"curriculum_enabled",u"extrinsic_reward_enabled",b"extrinsic_reward_enabled",u"gail_reward_enabled",b"gail_reward_enabled",u"num_network_hidden_units",b"num_network_hidden_units",u"num_network_layers",b"num_network_layers",u"recurrent_enabled",b"recurrent_enabled",u"rnd_reward_enabled",b"rnd_reward_enabled",u"self_play_enabled",b"self_play_enabled",u"trainer_threaded",b"trainer_threaded",u"trainer_type",b"trainer_type",u"visual_encoder",b"visual_encoder"]) -> None: ...
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