



'''simple docstring'''

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


__lowerCAmelCase		     =  logging.get_logger(__name__)

__lowerCAmelCase		     =  {
    '''edbeeching/decision-transformer-gym-hopper-medium''': (
        '''https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'''
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}

class       __magic_name__		(       _UpperCamelCase  ):
							lowerCAmelCase			:       Dict  							=   'decision_transformer'
							lowerCAmelCase			:       Any  							=   ['past_key_values']
							lowerCAmelCase			:       Any  							=   {
							    'max_position_embeddings': 'n_positions',
							    'num_attention_heads': 'n_head',
							    'num_hidden_layers': 'n_layer',
							}







							def __init__(				self   :			Optional[int]      ,_UpperCAmelCase   :			Tuple=17      ,_UpperCAmelCase   :			Any=4      ,_UpperCAmelCase   :			List[Any]=128      ,_UpperCAmelCase   :			Optional[int]=4096      ,_UpperCAmelCase   :			List[str]=True      ,_UpperCAmelCase   :			List[str]=1      ,_UpperCAmelCase   :			List[Any]=1024      ,_UpperCAmelCase   :			Dict=3      ,_UpperCAmelCase   :			Tuple=1      ,_UpperCAmelCase   :			Any=None      ,_UpperCAmelCase   :			List[str]="relu"      ,_UpperCAmelCase   :			List[str]=0.1      ,_UpperCAmelCase   :			Any=0.1      ,_UpperCAmelCase   :			List[Any]=0.1      ,_UpperCAmelCase   :			Union[str, Any]=1E-5      ,_UpperCAmelCase   :			Dict=0.02      ,_UpperCAmelCase   :			Optional[Any]=True      ,_UpperCAmelCase   :			Optional[Any]=True      ,_UpperCAmelCase   :			List[Any]=50256      ,_UpperCAmelCase   :			Optional[int]=50256      ,_UpperCAmelCase   :			Tuple=False      ,_UpperCAmelCase   :			List[Any]=False      ,**_UpperCAmelCase   :			Dict      ,):
									_a	: str								=				state_dim
									_a	: List[Any]								=				act_dim
									_a	: Optional[Any]								=				hidden_size
									_a	: Dict								=				max_ep_len
									_a	: Union[str, Any]								=				action_tanh
									_a	: List[Any]								=				vocab_size
									_a	: Dict								=				n_positions
									_a	: Union[str, Any]								=				n_layer
									_a	: Dict								=				n_head
									_a	: Union[str, Any]								=				n_inner
									_a	: Any								=				activation_function
									_a	: List[str]								=				resid_pdrop
									_a	: Any								=				embd_pdrop
									_a	: List[str]								=				attn_pdrop
									_a	: Union[str, Any]								=				layer_norm_epsilon
									_a	: List[str]								=				initializer_range
									_a	: List[Any]								=				scale_attn_weights
									_a	: str								=				use_cache
									_a	: Optional[int]								=				scale_attn_by_inverse_layer_idx
									_a	: Optional[Any]								=				reorder_and_upcast_attn

									_a	: Any								=				bos_token_id
									_a	: Any								=				eos_token_id

									super().__init__(bos_token_id=_UpperCAmelCase      ,eos_token_id=_UpperCAmelCase      ,**_UpperCAmelCase						)









'''simple docstring'''

from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *




