




"""simple docstring"""


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


_A													=      logging.get_logger(__name__)

_A													=      {
    """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 _lowerCamelCase    (					a_						):
   _lowerCamelCase    :int     				=     "decision_transformer"
   _lowerCamelCase    :int     				=     ["past_key_values"]
   _lowerCamelCase    :List[Any]     				=     {
       "max_position_embeddings": "n_positions",
       "num_attention_heads": "n_head",
       "num_hidden_layers": "n_layer",
   }






   def __init__(		self       :		int   ,     UpperCamelCase       :		List[str]=17   ,     UpperCamelCase       :		List[str]=4   ,     UpperCamelCase       :		Optional[Any]=1_28   ,     UpperCamelCase       :		Optional[Any]=40_96   ,     UpperCamelCase       :		List[str]=True   ,     UpperCamelCase       :		List[str]=1   ,     UpperCamelCase       :		Dict=10_24   ,     UpperCamelCase       :		List[Any]=3   ,     UpperCamelCase       :		Optional[int]=1   ,     UpperCamelCase       :		List[Any]=None   ,     UpperCamelCase       :		Any="relu"   ,     UpperCamelCase       :		Optional[int]=0.1   ,     UpperCamelCase       :		Optional[int]=0.1   ,     UpperCamelCase       :		List[str]=0.1   ,     UpperCamelCase       :		str=1E-5   ,     UpperCamelCase       :		Any=0.02   ,     UpperCamelCase       :		Optional[Any]=True   ,     UpperCamelCase       :		int=True   ,     UpperCamelCase       :		Optional[Any]=5_02_56   ,     UpperCamelCase       :		str=5_02_56   ,     UpperCamelCase       :		str=False   ,     UpperCamelCase       :		Any=False   ,     **UpperCamelCase       :		Dict   ,     )			->						Optional[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Union[str, Any]   =	state_dim
         lowerCAmelCase__      :			List[str]   =	act_dim
         lowerCAmelCase__      :			Any   =	hidden_size
         lowerCAmelCase__      :			Tuple   =	max_ep_len
         lowerCAmelCase__      :			Tuple   =	action_tanh
         lowerCAmelCase__      :			Tuple   =	vocab_size
         lowerCAmelCase__      :			List[str]   =	n_positions
         lowerCAmelCase__      :			Optional[Any]   =	n_layer
         lowerCAmelCase__      :			Tuple   =	n_head
         lowerCAmelCase__      :			List[str]   =	n_inner
         lowerCAmelCase__      :			Tuple   =	activation_function
         lowerCAmelCase__      :			Optional[int]   =	resid_pdrop
         lowerCAmelCase__      :			str   =	embd_pdrop
         lowerCAmelCase__      :			List[str]   =	attn_pdrop
         lowerCAmelCase__      :			List[Any]   =	layer_norm_epsilon
         lowerCAmelCase__      :			List[Any]   =	initializer_range
         lowerCAmelCase__      :			Any   =	scale_attn_weights
         lowerCAmelCase__      :			List[Any]   =	use_cache
         lowerCAmelCase__      :			Optional[Any]   =	scale_attn_by_inverse_layer_idx
         lowerCAmelCase__      :			Any   =	reorder_and_upcast_attn

         lowerCAmelCase__      :			List[Any]   =	bos_token_id
         lowerCAmelCase__      :			Optional[Any]   =	eos_token_id

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











"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


_A													=      logging.get_logger(__name__)


class _lowerCamelCase    (					a_						):






   def __init__(		self       :		Union[str, Any]   ,     *UpperCamelCase       :		int   ,     **UpperCamelCase       :		List[Any]   )			->						None:

         """simple docstring"""
         warnings.warn(
             """The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
             """ use CLIPImageProcessor instead."""   ,     UpperCamelCase   ,     )
         super().__init__(*UpperCamelCase   ,     **UpperCamelCase   )





