



"""simple docstring"""






from ....configuration_utils import PretrainedConfig
from ....utils import logging


_lowercase				:				Union[str, Any]   		=		logging.get_logger(__name__)

_lowercase				:				str   		=		{
    "CarlCochet/trajectory-transformer-halfcheetah-medium-v2": (
        "https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json"
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}

class  __SCREAMING_SNAKE_CASE			(   __UpperCAmelCase     ):


					'''simple docstring'''





					_a         =							"""trajectory_transformer"""
					_a         =							["""past_key_values"""]
					_a         =							{
					    """hidden_size""": """n_embd""",
					    """num_attention_heads""": """n_head""",
					    """num_hidden_layers""": """n_layer""",
					}



					def __init__( self							:						Tuple,						lowerCamelCase							:						int=100,						lowerCamelCase							:						Tuple=5,						lowerCamelCase							:						str=1,						lowerCamelCase							:						Optional[Any]=1,						lowerCamelCase							:						Optional[int]=249,						lowerCamelCase							:						Any=6,						lowerCamelCase							:						Optional[int]=17,						lowerCamelCase							:						str=25,						lowerCamelCase							:						List[Any]=4,						lowerCamelCase							:						int=4,						lowerCamelCase							:						List[Any]=128,						lowerCamelCase							:						str=0.1,						lowerCamelCase							:						Tuple=0.1,						lowerCamelCase							:						Optional[Any]=0.1,						lowerCamelCase							:						str=0.0_006,						lowerCamelCase							:						Tuple=512,						lowerCamelCase							:						List[Any]=0.02,						lowerCamelCase							:						Union[str, Any]=1E-12,						lowerCamelCase							:						Tuple=1,						lowerCamelCase							:						Dict=True,						lowerCamelCase							:						str=1,						lowerCamelCase							:						str=5_0256,						lowerCamelCase							:						int=5_0256,						**lowerCamelCase							:						List[Any],						)->      int:
								lowerCamelCase__	:	List[str]				=vocab_size
								lowerCamelCase__	:	Tuple				=action_weight
								lowerCamelCase__	:	Any				=reward_weight
								lowerCamelCase__	:	List[str]				=value_weight
								lowerCamelCase__	:	Union[str, Any]				=max_position_embeddings
								lowerCamelCase__	:	Optional[int]				=block_size
								lowerCamelCase__	:	Union[str, Any]				=action_dim
								lowerCamelCase__	:	int				=observation_dim
								lowerCamelCase__	:	Optional[Any]				=transition_dim
								lowerCamelCase__	:	Tuple				=learning_rate
								lowerCamelCase__	:	Optional[Any]				=n_layer
								lowerCamelCase__	:	Tuple				=n_head
								lowerCamelCase__	:	int				=n_embd
								lowerCamelCase__	:	Tuple				=embd_pdrop
								lowerCamelCase__	:	Any				=attn_pdrop
								lowerCamelCase__	:	str				=resid_pdrop
								lowerCamelCase__	:	List[str]				=initializer_range
								lowerCamelCase__	:	Optional[int]				=layer_norm_eps
								lowerCamelCase__	:	str				=kaiming_initializer_range
								lowerCamelCase__	:	List[Any]				=use_cache
								super().__init__(pad_token_id=UpperCAmelCase_,						bos_token_id=UpperCAmelCase_,						eos_token_id=UpperCAmelCase_,						**UpperCAmelCase_  )









"""simple docstring"""






from ..utils import DummyObject, requires_backends

class  __SCREAMING_SNAKE_CASE			(   metaclass=lowerCAmelCase_     ):


					'''simple docstring'''





					_a         =							['onnx']



					def __init__( self							:						List[str],						*lowerCamelCase							:						Union[str, Any],						**lowerCamelCase							:						str  )->      Optional[int]:
								requires_backends(self,						['''onnx''']  )



					@classmethod
					def 	snake_case ( cls							:						List[str],						*lowerCamelCase							:						Any,						**lowerCamelCase							:						Union[str, Any]  )->      Optional[int]:
								requires_backends(cls,						['''onnx''']  )




					@classmethod
					def 	snake_case ( cls							:						Union[str, Any],						*lowerCamelCase							:						Tuple,						**lowerCamelCase							:						Tuple  )->      Optional[int]:
								requires_backends(cls,						['''onnx''']  )




