
"""simple docstring"""




from typing import List

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


UpperCAmelCase__      :    Any    							= logging.get_logger(__name__)

UpperCAmelCase__      :    str    							= {
    'snap-research/efficientformer-l1-300': (
        'https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json'
    ),
}



class 	lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						List[str]					       =   '''efficientformer'''



				def __init__(self   ,       SCREAMING_SNAKE_CASE__ = [3, 2, 6, 4]   ,       SCREAMING_SNAKE_CASE__ = [48, 96, 2_24, 4_48]   ,       SCREAMING_SNAKE_CASE__ = [True, True, True, True]   ,       SCREAMING_SNAKE_CASE__ = 4_48   ,       SCREAMING_SNAKE_CASE__ = 32   ,       SCREAMING_SNAKE_CASE__ = 4   ,       SCREAMING_SNAKE_CASE__ = 7   ,       SCREAMING_SNAKE_CASE__ = 5   ,       SCREAMING_SNAKE_CASE__ = 8   ,       SCREAMING_SNAKE_CASE__ = 4   ,       SCREAMING_SNAKE_CASE__ = 0.0   ,       SCREAMING_SNAKE_CASE__ = 16   ,       SCREAMING_SNAKE_CASE__ = 3   ,       SCREAMING_SNAKE_CASE__ = 3   ,       SCREAMING_SNAKE_CASE__ = 3   ,       SCREAMING_SNAKE_CASE__ = 2   ,       SCREAMING_SNAKE_CASE__ = 1   ,       SCREAMING_SNAKE_CASE__ = 0.0   ,       SCREAMING_SNAKE_CASE__ = 1   ,       SCREAMING_SNAKE_CASE__ = True   ,       SCREAMING_SNAKE_CASE__ = True   ,       SCREAMING_SNAKE_CASE__ = 1E-5   ,       SCREAMING_SNAKE_CASE__ = "gelu"   ,       SCREAMING_SNAKE_CASE__ = 0.02   ,       SCREAMING_SNAKE_CASE__ = 1E-12   ,       SCREAMING_SNAKE_CASE__ = 2_24   ,       SCREAMING_SNAKE_CASE__ = 1E-05   ,       **SCREAMING_SNAKE_CASE__   ,       )					->		None:



											"""simple docstring"""




											super().__init__(**SCREAMING_SNAKE_CASE__    )

											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   hidden_act
											SCREAMING_SNAKE_CASE__						:       Tuple           =   hidden_dropout_prob
											SCREAMING_SNAKE_CASE__						:       Tuple           =   hidden_sizes
											SCREAMING_SNAKE_CASE__						:       Tuple           =   num_hidden_layers
											SCREAMING_SNAKE_CASE__						:       Any           =   num_attention_heads
											SCREAMING_SNAKE_CASE__						:       Dict           =   initializer_range
											SCREAMING_SNAKE_CASE__						:       int           =   layer_norm_eps
											SCREAMING_SNAKE_CASE__						:       Dict           =   patch_size
											SCREAMING_SNAKE_CASE__						:       Tuple           =   num_channels
											SCREAMING_SNAKE_CASE__						:       Any           =   depths
											SCREAMING_SNAKE_CASE__						:       Dict           =   mlp_expansion_ratio
											SCREAMING_SNAKE_CASE__						:       int           =   downsamples
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   dim
											SCREAMING_SNAKE_CASE__						:       Tuple           =   key_dim
											SCREAMING_SNAKE_CASE__						:       Tuple           =   attention_ratio
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   resolution
											SCREAMING_SNAKE_CASE__						:       List[str]           =   pool_size
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   downsample_patch_size
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   downsample_stride
											SCREAMING_SNAKE_CASE__						:       int           =   downsample_pad
											SCREAMING_SNAKE_CASE__						:       List[str]           =   drop_path_rate
											SCREAMING_SNAKE_CASE__						:       Any           =   num_metaad_blocks
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   distillation
											SCREAMING_SNAKE_CASE__						:       Tuple           =   use_layer_scale
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   layer_scale_init_value
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   image_size
											SCREAMING_SNAKE_CASE__						:       str           =   batch_norm_eps











'''simple docstring'''




from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info






def        _lowerCAmelCase			(  __snake_case  : Tuple			)     ->     Dict:
     return {key.lstrip('-'			): value for key, value in zip(unknown_args[::2] ,							unknown_args[1::2]			)}






def        _lowerCAmelCase			(  )     ->     Tuple:
     __A						: int      =       ArgumentParser(
         'HuggingFace Datasets CLI tool' ,							usage='datasets-cli <command> [<args>]' ,							allow_abbrev=__snake_case			)
     __A						: Optional[Any]      =       parser.add_subparsers(help='datasets-cli command helpers'			)
     set_verbosity_info()

     # Register commands
     ConvertCommand.register_subcommand(__snake_case			)
     EnvironmentCommand.register_subcommand(__snake_case			)
     TestCommand.register_subcommand(__snake_case			)
     RunBeamCommand.register_subcommand(__snake_case			)
     DummyDataCommand.register_subcommand(__snake_case			)

     # Parse args
     __A ,__A						: Optional[Any]      =       parser.parse_known_args()
     if not hasattr(__snake_case ,							'func'			):
          parser.print_help()
          exit(1			)
     __A						: Any      =       parse_unknown_args(__snake_case			)

     # Run
     __A						: List[Any]      =       args.func(__snake_case ,							**__snake_case			)
     service.run()


if __name__ == "__main__":
  main()