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


lowercase_  : List[Any]								=					logging.get_logger(__name__)

lowercase_  : Dict								=					{
    'sayakpaul/vit-msn-base': 'https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}






class 		_lowerCamelCase		( UpperCamelCase_     ):
    __a						=   "vit_msn"
    def __init__(	self			,			lowerCAmelCase=768			,			lowerCAmelCase=12			,			lowerCAmelCase=12			,			lowerCAmelCase=3072			,			lowerCAmelCase="gelu"			,			lowerCAmelCase=0.0			,			lowerCAmelCase=0.0			,			lowerCAmelCase=0.02			,			lowerCAmelCase=1e-06			,			lowerCAmelCase=224			,			lowerCAmelCase=16			,			lowerCAmelCase=3			,			lowerCAmelCase=True			,			**lowerCAmelCase			,			)							->       int:
     super().__init__(**lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: int=   hidden_size
     SCREAMING_SNAKE_CASE__: List[Any]=   num_hidden_layers
     SCREAMING_SNAKE_CASE__: int=   num_attention_heads
     SCREAMING_SNAKE_CASE__: Any=   intermediate_size
     SCREAMING_SNAKE_CASE__: Tuple=   hidden_act
     SCREAMING_SNAKE_CASE__: Optional[int]=   hidden_dropout_prob
     SCREAMING_SNAKE_CASE__: Tuple=   attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE__: int=   initializer_range
     SCREAMING_SNAKE_CASE__: str=   layer_norm_eps
     SCREAMING_SNAKE_CASE__: Any=   image_size
     SCREAMING_SNAKE_CASE__: List[Any]=   patch_size
     SCREAMING_SNAKE_CASE__: Optional[Any]=   num_channels
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   qkv_bias





from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader




class A    (  UpperCamelCase_	):






      def __init__(   self		:	Union[str, Any]     ,  lowercase_		:	NestedDataStructureLike[PathLike]     ,  lowercase_		:	Optional[NamedSplit] = None     ,  lowercase_		:	Optional[Features] = None     ,  lowercase_		:	str = None     ,  lowercase_		:	bool = False     ,  lowercase_		:	bool = False     ,  lowercase_		:	Optional[int] = None     ,  **lowercase_		:	Optional[int]     ,  )   ->		Union[str, Any]:
             """simple docstring"""




             super().__init__(
                 lowercase_     ,  split=lowercase_     ,  features=lowercase_     ,  cache_dir=lowercase_     ,  keep_in_memory=lowercase_     ,  streaming=lowercase_     ,  num_proc=lowercase_     ,  **lowercase_     ,  )
             _lowerCamelCase			:						Optional[int]            =path_or_paths if isinstance(lowercase_     ,  lowercase_					) else {self.split: path_or_paths}
             _lowerCamelCase			:						int            =Text(
                 cache_dir=lowercase_     ,  data_files=lowercase_     ,  features=lowercase_     ,  **lowercase_     ,  )






      def 			lowerCamelCase			(   self		:	Optional[Any]					)   ->		Dict:
             """simple docstring"""




             if self.streaming:
                    _lowerCamelCase			:						Optional[Any]            =self.builder.as_streaming_dataset(split=self.split					)
             # Build regular (map-style) dataset
             else:
                    _lowerCamelCase			:						List[str]            =None
                    _lowerCamelCase			:						int            =None
                    _lowerCamelCase			:						Optional[Any]            =None
                    _lowerCamelCase			:						Any            =None

                    self.builder.download_and_prepare(
                        download_config=lowercase_     ,  download_mode=lowercase_     ,  verification_mode=lowercase_     ,  base_path=lowercase_     ,  num_proc=self.num_proc     ,  )
                    _lowerCamelCase			:						Tuple            =self.builder.as_dataset(
                        split=self.split     ,  verification_mode=lowercase_     ,  in_memory=self.keep_in_memory					)
             return dataset


