

from argparse import ArgumentParser

from . import BaseTransformersCLICommand





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






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







class 				lowercase       ( lowercase_    ):




				@staticmethod
				def 					a							(      snake_case ):
											snake_case_           =					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 ):
											snake_case_           =					model
											snake_case_           =					cache
											snake_case_           =					force
											snake_case_           =					trust_remote_code




				def 					a							(      self ):
											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 )







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCAmelCase	:     int		       = logging.get_logger(__name__)

_UpperCAmelCase	:     Any		       = {
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}







class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				int     =    '''levit'''




				def __init__(      self   ,     snake_case=224   ,     snake_case=3   ,     snake_case=3   ,     snake_case=2   ,     snake_case=1   ,     snake_case=16   ,     snake_case=[128, 256, 384]   ,     snake_case=[4, 8, 12]   ,     snake_case=[4, 4, 4]   ,     snake_case=[16, 16, 16]   ,     snake_case=0   ,     snake_case=[2, 2, 2]   ,     snake_case=[2, 2, 2]   ,     snake_case=0.02   ,     **snake_case   ,     ):
											super().__init__(**snake_case )
											snake_case_           =					image_size
											snake_case_           =					num_channels
											snake_case_           =					kernel_size
											snake_case_           =					stride
											snake_case_           =					padding
											snake_case_           =					hidden_sizes
											snake_case_           =					num_attention_heads
											snake_case_           =					depths
											snake_case_           =					key_dim
											snake_case_           =					drop_path_rate
											snake_case_           =					patch_size
											snake_case_           =					attention_ratio
											snake_case_           =					mlp_ratio
											snake_case_           =					initializer_range
											snake_case_           =					[
											    ['Subsample', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
											    ['Subsample', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
											]







class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Dict     =    version.parse('''1.11'''    )




				@property
				def 					a							(      self ):
											return OrderedDict(
											    [
											        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
											    ] )




				@property
				def 					a							(      self ):
											return 1e-4




