ppo-Pyramids-Training / ml-agents-envs /mlagents_envs /communicator_objects /training_analytics_pb2.pyi
| # @generated by generate_proto_mypy_stubs.py. Do not edit! | |
| import sys | |
| from google.protobuf.descriptor import ( | |
| Descriptor as google___protobuf___descriptor___Descriptor, | |
| ) | |
| from google.protobuf.message import ( | |
| Message as google___protobuf___message___Message, | |
| ) | |
| from typing import ( | |
| Optional as typing___Optional, | |
| Text as typing___Text, | |
| ) | |
| from typing_extensions import ( | |
| Literal as typing_extensions___Literal, | |
| ) | |
| builtin___bool = bool | |
| builtin___bytes = bytes | |
| builtin___float = float | |
| builtin___int = int | |
| class TrainingEnvironmentInitialized(google___protobuf___message___Message): | |
| DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... | |
| mlagents_version = ... # type: typing___Text | |
| mlagents_envs_version = ... # type: typing___Text | |
| python_version = ... # type: typing___Text | |
| torch_version = ... # type: typing___Text | |
| torch_device_type = ... # type: typing___Text | |
| num_envs = ... # type: builtin___int | |
| num_environment_parameters = ... # type: builtin___int | |
| run_options = ... # type: typing___Text | |
| def __init__(self, | |
| *, | |
| mlagents_version : typing___Optional[typing___Text] = None, | |
| mlagents_envs_version : typing___Optional[typing___Text] = None, | |
| python_version : typing___Optional[typing___Text] = None, | |
| torch_version : typing___Optional[typing___Text] = None, | |
| torch_device_type : typing___Optional[typing___Text] = None, | |
| num_envs : typing___Optional[builtin___int] = None, | |
| num_environment_parameters : typing___Optional[builtin___int] = None, | |
| run_options : typing___Optional[typing___Text] = None, | |
| ) -> None: ... | |
| def FromString(cls, s: builtin___bytes) -> TrainingEnvironmentInitialized: ... | |
| def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ... | |
| def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ... | |
| if sys.version_info >= (3,): | |
| 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"run_options",u"torch_device_type",u"torch_version"]) -> None: ... | |
| else: | |
| 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"run_options",b"run_options",u"torch_device_type",b"torch_device_type",u"torch_version",b"torch_version"]) -> None: ... | |
| class TrainingBehaviorInitialized(google___protobuf___message___Message): | |
| DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... | |
| behavior_name = ... # type: typing___Text | |
| trainer_type = ... # type: typing___Text | |
| extrinsic_reward_enabled = ... # type: builtin___bool | |
| gail_reward_enabled = ... # type: builtin___bool | |
| curiosity_reward_enabled = ... # type: builtin___bool | |
| rnd_reward_enabled = ... # type: builtin___bool | |
| behavioral_cloning_enabled = ... # type: builtin___bool | |
| recurrent_enabled = ... # type: builtin___bool | |
| visual_encoder = ... # type: typing___Text | |
| num_network_layers = ... # type: builtin___int | |
| num_network_hidden_units = ... # type: builtin___int | |
| trainer_threaded = ... # type: builtin___bool | |
| self_play_enabled = ... # type: builtin___bool | |
| curriculum_enabled = ... # type: builtin___bool | |
| config = ... # type: typing___Text | |
| def __init__(self, | |
| *, | |
| behavior_name : typing___Optional[typing___Text] = None, | |
| trainer_type : typing___Optional[typing___Text] = None, | |
| extrinsic_reward_enabled : typing___Optional[builtin___bool] = None, | |
| gail_reward_enabled : typing___Optional[builtin___bool] = None, | |
| curiosity_reward_enabled : typing___Optional[builtin___bool] = None, | |
| rnd_reward_enabled : typing___Optional[builtin___bool] = None, | |
| behavioral_cloning_enabled : typing___Optional[builtin___bool] = None, | |
| recurrent_enabled : typing___Optional[builtin___bool] = None, | |
| visual_encoder : typing___Optional[typing___Text] = None, | |
| num_network_layers : typing___Optional[builtin___int] = None, | |
| num_network_hidden_units : typing___Optional[builtin___int] = None, | |
| trainer_threaded : typing___Optional[builtin___bool] = None, | |
| self_play_enabled : typing___Optional[builtin___bool] = None, | |
| curriculum_enabled : typing___Optional[builtin___bool] = None, | |
| config : typing___Optional[typing___Text] = None, | |
| ) -> None: ... | |
| def FromString(cls, s: builtin___bytes) -> TrainingBehaviorInitialized: ... | |
| def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ... | |
| def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ... | |
| if sys.version_info >= (3,): | |
| def ClearField(self, field_name: typing_extensions___Literal[u"behavior_name",u"behavioral_cloning_enabled",u"config",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: ... | |
| else: | |
| def ClearField(self, field_name: typing_extensions___Literal[u"behavior_name",b"behavior_name",u"behavioral_cloning_enabled",b"behavioral_cloning_enabled",u"config",b"config",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: ... | |