

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


__A			:					Union[str, Any]						=			logging.get_logger(__name__)

__A			:					Tuple						=			{
    'microsoft/swinv2-tiny-patch4-window8-256': (
        'https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json'
    ),
}





class 			_SCREAMING_SNAKE_CASE (   __snake_case		):







   '''simple docstring'''




   lowerCamelCase__				=      "swinv2"

   lowerCamelCase__				=      {
       "num_attention_heads": "num_heads",
       "num_hidden_layers": "num_layers",
   }





   def __init__(       self					:			List[str]     , __lowerCamelCase					:			int=224     , __lowerCamelCase					:			Dict=4     , __lowerCamelCase					:			str=3     , __lowerCamelCase					:			str=96     , __lowerCamelCase					:			Any=[2, 2, 6, 2]     , __lowerCamelCase					:			List[str]=[3, 6, 12, 24]     , __lowerCamelCase					:			List[str]=7     , __lowerCamelCase					:			Any=4.0     , __lowerCamelCase					:			Tuple=True     , __lowerCamelCase					:			Optional[int]=0.0     , __lowerCamelCase					:			Any=0.0     , __lowerCamelCase					:			int=0.1     , __lowerCamelCase					:			Optional[Any]="gelu"     , __lowerCamelCase					:			Optional[Any]=False     , __lowerCamelCase					:			List[str]=0.02     , __lowerCamelCase					:			Union[str, Any]=1e-5     , __lowerCamelCase					:			List[str]=32     , **__lowerCamelCase					:			Union[str, Any]     , ):
       super().__init__(**_lowercase			)

       SCREAMING_SNAKE_CASE										=   image_size
       SCREAMING_SNAKE_CASE										=   patch_size
       SCREAMING_SNAKE_CASE										=   num_channels
       SCREAMING_SNAKE_CASE										=   embed_dim
       SCREAMING_SNAKE_CASE										=   depths
       SCREAMING_SNAKE_CASE										=   len(_lowercase			)
       SCREAMING_SNAKE_CASE										=   num_heads
       SCREAMING_SNAKE_CASE										=   window_size
       SCREAMING_SNAKE_CASE										=   mlp_ratio
       SCREAMING_SNAKE_CASE										=   qkv_bias
       SCREAMING_SNAKE_CASE										=   hidden_dropout_prob
       SCREAMING_SNAKE_CASE										=   attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE										=   drop_path_rate
       SCREAMING_SNAKE_CASE										=   hidden_act
       SCREAMING_SNAKE_CASE										=   use_absolute_embeddings
       SCREAMING_SNAKE_CASE										=   layer_norm_eps
       SCREAMING_SNAKE_CASE										=   initializer_range
       SCREAMING_SNAKE_CASE										=   encoder_stride
       # we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
       # this indicates the channel dimension after the last stage of the model
       SCREAMING_SNAKE_CASE										=   int(embed_dim * 2 ** (len(_lowercase			) - 1)			)
       SCREAMING_SNAKE_CASE										=   (0, 0, 0, 0)





'''simple docstring'''
from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands





def 			lowerCamelCase(							)		->		int:
			A_									= ArgumentParser('Transformers CLI tool'       ,usage='transformers-cli <command> [<args>]'     )
			A_									= parser.add_subparsers(help='transformers-cli command helpers'     )

			# Register commands
			ConvertCommand.register_subcommand(SCREAMING_SNAKE_CASE_     )
			DownloadCommand.register_subcommand(SCREAMING_SNAKE_CASE_     )
			EnvironmentCommand.register_subcommand(SCREAMING_SNAKE_CASE_     )
			RunCommand.register_subcommand(SCREAMING_SNAKE_CASE_     )
			ServeCommand.register_subcommand(SCREAMING_SNAKE_CASE_     )
			UserCommands.register_subcommand(SCREAMING_SNAKE_CASE_     )
			AddNewModelCommand.register_subcommand(SCREAMING_SNAKE_CASE_     )
			AddNewModelLikeCommand.register_subcommand(SCREAMING_SNAKE_CASE_     )
			LfsCommands.register_subcommand(SCREAMING_SNAKE_CASE_     )
			PTtoTFCommand.register_subcommand(SCREAMING_SNAKE_CASE_     )

			# Let's go
			A_									= parser.parse_args()

			if not hasattr(SCREAMING_SNAKE_CASE_       ,'func'     ):
						parser.print_help()
						exit(1     )

			# Run
			A_									= args.func(SCREAMING_SNAKE_CASE_     )
			service.run()


if __name__ == "__main__":
							main()




