


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


A       :		Optional[int]    =   logging.get_logger(__name__)

A       :		Dict    =   {
    '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 							A    (       lowerCamelCase__							):
					'''simple docstring'''






					A__			= 'decision_transformer'
					A__			= ['past_key_values']
					A__			= {
					    'max_position_embeddings': 'n_positions',
					    'num_attention_heads': 'n_head',
					    'num_hidden_layers': 'n_layer',
					}

					def __init__(self    :						List[Any]      ,					_UpperCAmelCase    :						str=17      ,					_UpperCAmelCase    :						Union[str, Any]=4      ,					_UpperCAmelCase    :						Dict=128      ,					_UpperCAmelCase    :						Union[str, Any]=4096      ,					_UpperCAmelCase    :						Optional[Any]=True      ,					_UpperCAmelCase    :						Any=1      ,					_UpperCAmelCase    :						List[Any]=1024      ,					_UpperCAmelCase    :						Dict=3      ,					_UpperCAmelCase    :						List[str]=1      ,					_UpperCAmelCase    :						Optional[Any]=None      ,					_UpperCAmelCase    :						int="relu"      ,					_UpperCAmelCase    :						int=0.1      ,					_UpperCAmelCase    :						int=0.1      ,					_UpperCAmelCase    :						List[Any]=0.1      ,					_UpperCAmelCase    :						str=1E-5      ,					_UpperCAmelCase    :						int=0.02      ,					_UpperCAmelCase    :						List[str]=True      ,					_UpperCAmelCase    :						Tuple=True      ,					_UpperCAmelCase    :						str=5_0256      ,					_UpperCAmelCase    :						str=5_0256      ,					_UpperCAmelCase    :						List[Any]=False      ,					_UpperCAmelCase    :						Any=False      ,					**_UpperCAmelCase    :						Any      ,					)						->   Union[str, Any]:




							"""simple docstring"""


							lowercase__     			=		state_dim
							lowercase__     			=		act_dim
							lowercase__     			=		hidden_size
							lowercase__     			=		max_ep_len
							lowercase__     			=		action_tanh
							lowercase__     			=		vocab_size
							lowercase__     			=		n_positions
							lowercase__     			=		n_layer
							lowercase__     			=		n_head
							lowercase__     			=		n_inner
							lowercase__     			=		activation_function
							lowercase__     			=		resid_pdrop
							lowercase__     			=		embd_pdrop
							lowercase__     			=		attn_pdrop
							lowercase__     			=		layer_norm_epsilon
							lowercase__     			=		initializer_range
							lowercase__     			=		scale_attn_weights
							lowercase__     			=		use_cache
							lowercase__     			=		scale_attn_by_inverse_layer_idx
							lowercase__     			=		reorder_and_upcast_attn

							lowercase__     			=		bos_token_id
							lowercase__     			=		eos_token_id

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




from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments
