

'''simple docstring'''





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


UpperCamelCase_    						=       logging.get_logger(__name__)

UpperCamelCase_    						=       {
    """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							(			lowercase__      ):
				lowerCamelCase_		       =    'trajectory_transformer'
				lowerCamelCase_		       =    ['past_key_values']
				lowerCamelCase_		       =    {
				    'hidden_size': 'n_embd',
				    'num_attention_heads': 'n_head',
				    'num_hidden_layers': 'n_layer',
				}







				def __init__(       self     :		Optional[Any]		,					UpperCAmelCase__     :		List[str]=100		,					UpperCAmelCase__     :		Optional[int]=5		,					UpperCAmelCase__     :		int=1		,					UpperCAmelCase__     :		Any=1		,					UpperCAmelCase__     :		Optional[int]=249		,					UpperCAmelCase__     :		Dict=6		,					UpperCAmelCase__     :		Union[str, Any]=17		,					UpperCAmelCase__     :		Tuple=25		,					UpperCAmelCase__     :		Dict=4		,					UpperCAmelCase__     :		List[str]=4		,					UpperCAmelCase__     :		str=128		,					UpperCAmelCase__     :		Optional[int]=0.1		,					UpperCAmelCase__     :		Union[str, Any]=0.1		,					UpperCAmelCase__     :		str=0.1		,					UpperCAmelCase__     :		str=0.00_06		,					UpperCAmelCase__     :		Optional[int]=512		,					UpperCAmelCase__     :		int=0.02		,					UpperCAmelCase__     :		List[Any]=1E-12		,					UpperCAmelCase__     :		str=1		,					UpperCAmelCase__     :		List[Any]=True		,					UpperCAmelCase__     :		Optional[Any]=1		,					UpperCAmelCase__     :		Any=50256		,					UpperCAmelCase__     :		Any=50256		,					**UpperCAmelCase__     :		Union[str, Any]		,					):
										'''simple docstring'''
										lowercase :							str    		=vocab_size
										lowercase :							Tuple    		=action_weight
										lowercase :							Dict    		=reward_weight
										lowercase :							str    		=value_weight
										lowercase :							Tuple    		=max_position_embeddings
										lowercase :							Any    		=block_size
										lowercase :							Dict    		=action_dim
										lowercase :							List[str]    		=observation_dim
										lowercase :							List[Any]    		=transition_dim
										lowercase :							Any    		=learning_rate
										lowercase :							Any    		=n_layer
										lowercase :							Any    		=n_head
										lowercase :							int    		=n_embd
										lowercase :							Optional[Any]    		=embd_pdrop
										lowercase :							Tuple    		=attn_pdrop
										lowercase :							Union[str, Any]    		=resid_pdrop
										lowercase :							Optional[int]    		=initializer_range
										lowercase :							Union[str, Any]    		=layer_norm_eps
										lowercase :							Dict    		=kaiming_initializer_range
										lowercase :							Union[str, Any]    		=use_cache
										super().__init__(pad_token_id=UpperCAmelCase__		,					bos_token_id=UpperCAmelCase__		,					eos_token_id=UpperCAmelCase__		,					**UpperCAmelCase__   )






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


SCREAMING_SNAKE_CASE			:						int				  =		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE			:						Dict				  =		{
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """canine"""

  def __init__(		self			:   int  ,				__SCREAMING_SNAKE_CASE			:   List[str]=7_68  ,				__SCREAMING_SNAKE_CASE			:   Any=12  ,				__SCREAMING_SNAKE_CASE			:   str=12  ,				__SCREAMING_SNAKE_CASE			:   int=30_72  ,				__SCREAMING_SNAKE_CASE			:   int="gelu"  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]=0.1  ,				__SCREAMING_SNAKE_CASE			:   List[str]=0.1  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=1_63_84  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=16  ,				__SCREAMING_SNAKE_CASE			:   int=0.02  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=1E-12  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]=0  ,				__SCREAMING_SNAKE_CASE			:   List[str]=0xE000  ,				__SCREAMING_SNAKE_CASE			:   int=0xE001  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]=4  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=4  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=8  ,				__SCREAMING_SNAKE_CASE			:   List[str]=1_63_84  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=1_28  ,				**__SCREAMING_SNAKE_CASE			:   List[str]  ,				):
   super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE  ,				bos_token_id=__SCREAMING_SNAKE_CASE  ,				eos_token_id=__SCREAMING_SNAKE_CASE  ,				**__SCREAMING_SNAKE_CASE							)

   __a							=	max_position_embeddings
   __a							=	hidden_size
   __a							=	num_hidden_layers
   __a							=	num_attention_heads
   __a							=	intermediate_size
   __a							=	hidden_act
   __a							=	hidden_dropout_prob
   __a							=	attention_probs_dropout_prob
   __a							=	initializer_range
   __a							=	type_vocab_size
   __a							=	layer_norm_eps

   # Character config:
   __a							=	downsampling_rate
   __a							=	upsampling_kernel_size
   __a							=	num_hash_functions
   __a							=	num_hash_buckets
   __a							=	local_transformer_stride


