






"""simple docstring"""





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


A__					: Dict=	logging.get_logger(__name__)

A__					: Optional[int]=	{
    """Visual-Attention-Network/van-base""": (
        """https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json"""
    ),
}
class    __lowerCamelCase    (  __snake_case  ):
   a      :				Dict 						="""van"""

   def __init__(					self ,				snake_case_=224 ,				snake_case_=3 ,				snake_case_=[7, 3, 3, 3] ,				snake_case_=[4, 2, 2, 2] ,				snake_case_=[64, 128, 320, 512] ,				snake_case_=[3, 3, 12, 3] ,				snake_case_=[8, 8, 4, 4] ,				snake_case_="gelu" ,				snake_case_=0.02 ,				snake_case_=1E-6 ,				snake_case_=1E-2 ,				snake_case_=0.0 ,				snake_case_=0.0 ,				**snake_case_ ,				)		->       Optional[int]:
         super().__init__(**_lowercase      )
         UpperCamelCase__         =    image_size
         UpperCamelCase__         =    num_channels
         UpperCamelCase__         =    patch_sizes
         UpperCamelCase__         =    strides
         UpperCamelCase__         =    hidden_sizes
         UpperCamelCase__         =    depths
         UpperCamelCase__         =    mlp_ratios
         UpperCamelCase__         =    hidden_act
         UpperCamelCase__         =    initializer_range
         UpperCamelCase__         =    layer_norm_eps
         UpperCamelCase__         =    layer_scale_init_value
         UpperCamelCase__         =    drop_path_rate
         UpperCamelCase__         =    dropout_rate












"""simple docstring"""





from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    return DownloadCommand(args.model ,	args.cache_dir ,	args.force ,	args.trust_remote_code					)





class    __lowerCamelCase    (  _a  ):

   @staticmethod
   def 						SCREAMING_SNAKE_CASE__ (					snake_case_      )		->       Union[str, Any]:
       UpperCamelCase__         =    parser.add_parser('download'      )
       download_parser.add_argument(
           '--cache-dir' ,				type=snake_case_ ,				default=snake_case_ ,				help='Path to location to store the models'      )
       download_parser.add_argument(
           '--force' ,				action='store_true' ,				help='Force the model to be download even if already in cache-dir'      )
       download_parser.add_argument(
           '--trust-remote-code' ,				action='store_true' ,				help='Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine' ,				)
       download_parser.add_argument('model' ,				type=snake_case_ ,				help='Name of the model to download'      )
       download_parser.set_defaults(func=snake_case_      )

   def __init__(					self ,				snake_case_ ,				snake_case_ ,				snake_case_ ,				snake_case_      )		->       str:
       UpperCamelCase__         =    model
       UpperCamelCase__         =    cache
       UpperCamelCase__         =    force
       UpperCamelCase__         =    trust_remote_code







   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[Any]:
       from ..models.auto import AutoModel, AutoTokenizer

       AutoModel.from_pretrained(
           self._model ,				cache_dir=self._cache ,				force_download=self._force ,				trust_remote_code=self._trust_remote_code      )
       AutoTokenizer.from_pretrained(
           self._model ,				cache_dir=self._cache ,				force_download=self._force ,				trust_remote_code=self._trust_remote_code      )




