ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.py

# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: mlagents_envs/communicator_objects/training_analytics.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/training_analytics.proto',
  package='communicator_objects',
  syntax='proto3',
  serialized_pb=_b('\n;mlagents_envs/communicator_objects/training_analytics.proto\x12\x14\x63ommunicator_objects\"\xee\x01\n\x1eTrainingEnvironmentInitialized\x12\x18\n\x10mlagents_version\x18\x01 \x01(\t\x12\x1d\n\x15mlagents_envs_version\x18\x02 \x01(\t\x12\x16\n\x0epython_version\x18\x03 \x01(\t\x12\x15\n\rtorch_version\x18\x04 \x01(\t\x12\x19\n\x11torch_device_type\x18\x05 \x01(\t\x12\x10\n\x08num_envs\x18\x06 \x01(\x05\x12\"\n\x1anum_environment_parameters\x18\x07 \x01(\x05\x12\x13\n\x0brun_options\x18\x08 \x01(\t\"\xbd\x03\n\x1bTrainingBehaviorInitialized\x12\x15\n\rbehavior_name\x18\x01 \x01(\t\x12\x14\n\x0ctrainer_type\x18\x02 \x01(\t\x12 \n\x18\x65xtrinsic_reward_enabled\x18\x03 \x01(\x08\x12\x1b\n\x13gail_reward_enabled\x18\x04 \x01(\x08\x12 \n\x18\x63uriosity_reward_enabled\x18\x05 \x01(\x08\x12\x1a\n\x12rnd_reward_enabled\x18\x06 \x01(\x08\x12\"\n\x1a\x62\x65havioral_cloning_enabled\x18\x07 \x01(\x08\x12\x19\n\x11recurrent_enabled\x18\x08 \x01(\x08\x12\x16\n\x0evisual_encoder\x18\t \x01(\t\x12\x1a\n\x12num_network_layers\x18\n \x01(\x05\x12 \n\x18num_network_hidden_units\x18\x0b \x01(\x05\x12\x18\n\x10trainer_threaded\x18\x0c \x01(\x08\x12\x19\n\x11self_play_enabled\x18\r \x01(\x08\x12\x1a\n\x12\x63urriculum_enabled\x18\x0e \x01(\x08\x12\x0e\n\x06\x63onfig\x18\x0f \x01(\tB%\xaa\x02\"Unity.MLAgents.CommunicatorObjectsb\x06proto3')
)




_TRAININGENVIRONMENTINITIALIZED = _descriptor.Descriptor(
  name='TrainingEnvironmentInitialized',
  full_name='communicator_objects.TrainingEnvironmentInitialized',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='mlagents_version', full_name='communicator_objects.TrainingEnvironmentInitialized.mlagents_version', 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='mlagents_envs_version', full_name='communicator_objects.TrainingEnvironmentInitialized.mlagents_envs_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='python_version', full_name='communicator_objects.TrainingEnvironmentInitialized.python_version', 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='torch_version', full_name='communicator_objects.TrainingEnvironmentInitialized.torch_version', index=3,
      number=4, 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='torch_device_type', full_name='communicator_objects.TrainingEnvironmentInitialized.torch_device_type', index=4,
      number=5, 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='num_envs', full_name='communicator_objects.TrainingEnvironmentInitialized.num_envs', index=5,
      number=6, 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,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='num_environment_parameters', full_name='communicator_objects.TrainingEnvironmentInitialized.num_environment_parameters', index=6,
      number=7, 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,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='run_options', full_name='communicator_objects.TrainingEnvironmentInitialized.run_options', index=7,
      number=8, 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),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=86,
  serialized_end=324,
)


_TRAININGBEHAVIORINITIALIZED = _descriptor.Descriptor(
  name='TrainingBehaviorInitialized',
  full_name='communicator_objects.TrainingBehaviorInitialized',
  filename=None,
  file=DESCRIPTOR,
  containing_type=None,
  fields=[
    _descriptor.FieldDescriptor(
      name='behavior_name', full_name='communicator_objects.TrainingBehaviorInitialized.behavior_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='trainer_type', full_name='communicator_objects.TrainingBehaviorInitialized.trainer_type', 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='extrinsic_reward_enabled', full_name='communicator_objects.TrainingBehaviorInitialized.extrinsic_reward_enabled', 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),
    _descriptor.FieldDescriptor(
      name='gail_reward_enabled', full_name='communicator_objects.TrainingBehaviorInitialized.gail_reward_enabled', index=3,
      number=4, 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='curiosity_reward_enabled', full_name='communicator_objects.TrainingBehaviorInitialized.curiosity_reward_enabled', index=4,
      number=5, 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='rnd_reward_enabled', full_name='communicator_objects.TrainingBehaviorInitialized.rnd_reward_enabled', index=5,
      number=6, 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='behavioral_cloning_enabled', full_name='communicator_objects.TrainingBehaviorInitialized.behavioral_cloning_enabled', index=6,
      number=7, 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='recurrent_enabled', full_name='communicator_objects.TrainingBehaviorInitialized.recurrent_enabled', index=7,
      number=8, 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='visual_encoder', full_name='communicator_objects.TrainingBehaviorInitialized.visual_encoder', index=8,
      number=9, 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='num_network_layers', full_name='communicator_objects.TrainingBehaviorInitialized.num_network_layers', index=9,
      number=10, 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,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='num_network_hidden_units', full_name='communicator_objects.TrainingBehaviorInitialized.num_network_hidden_units', index=10,
      number=11, 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,
      options=None, file=DESCRIPTOR),
    _descriptor.FieldDescriptor(
      name='trainer_threaded', full_name='communicator_objects.TrainingBehaviorInitialized.trainer_threaded', index=11,
      number=12, 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='self_play_enabled', full_name='communicator_objects.TrainingBehaviorInitialized.self_play_enabled', index=12,
      number=13, 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='curriculum_enabled', full_name='communicator_objects.TrainingBehaviorInitialized.curriculum_enabled', index=13,
      number=14, 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='config', full_name='communicator_objects.TrainingBehaviorInitialized.config', index=14,
      number=15, 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),
  ],
  extensions=[
  ],
  nested_types=[],
  enum_types=[
  ],
  options=None,
  is_extendable=False,
  syntax='proto3',
  extension_ranges=[],
  oneofs=[
  ],
  serialized_start=327,
  serialized_end=772,
)

DESCRIPTOR.message_types_by_name['TrainingEnvironmentInitialized'] = _TRAININGENVIRONMENTINITIALIZED
DESCRIPTOR.message_types_by_name['TrainingBehaviorInitialized'] = _TRAININGBEHAVIORINITIALIZED
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

TrainingEnvironmentInitialized = _reflection.GeneratedProtocolMessageType('TrainingEnvironmentInitialized', (_message.Message,), dict(
  DESCRIPTOR = _TRAININGENVIRONMENTINITIALIZED,
  __module__ = 'mlagents_envs.communicator_objects.training_analytics_pb2'
  # @@protoc_insertion_point(class_scope:communicator_objects.TrainingEnvironmentInitialized)
  ))
_sym_db.RegisterMessage(TrainingEnvironmentInitialized)

TrainingBehaviorInitialized = _reflection.GeneratedProtocolMessageType('TrainingBehaviorInitialized', (_message.Message,), dict(
  DESCRIPTOR = _TRAININGBEHAVIORINITIALIZED,
  __module__ = 'mlagents_envs.communicator_objects.training_analytics_pb2'
  # @@protoc_insertion_point(class_scope:communicator_objects.TrainingBehaviorInitialized)
  ))
_sym_db.RegisterMessage(TrainingBehaviorInitialized)


DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\"Unity.MLAgents.CommunicatorObjects'))
# @@protoc_insertion_point(module_scope)