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


_SCREAMING_SNAKE_CASE     =     logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE     =     {
    """apple/mobilevit-small""": """https://huggingface.co/apple/mobilevit-small/resolve/main/config.json""",
    """apple/mobilevit-x-small""": """https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json""",
    """apple/mobilevit-xx-small""": """https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json""",
    """apple/deeplabv3-mobilevit-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-x-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-xx-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"""
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}







class        UpperCAmelCase_					(				_a     ):
    UpperCAmelCase_      :							int    			=				'mobilevit'




    def __init__(       self	: str   ,   lowerCAmelCase	: int=3   ,   lowerCAmelCase	: List[str]=256   ,   lowerCAmelCase	: Dict=2   ,   lowerCAmelCase	: Optional[int]=[144, 192, 240]   ,   lowerCAmelCase	: Optional[int]=[16, 32, 64, 96, 128, 160, 640]   ,   lowerCAmelCase	: Optional[Any]=4   ,   lowerCAmelCase	: str=2.0   ,   lowerCAmelCase	: List[Any]=4.0   ,   lowerCAmelCase	: Dict="silu"   ,   lowerCAmelCase	: Union[str, Any]=3   ,   lowerCAmelCase	: Optional[int]=32   ,   lowerCAmelCase	: List[str]=0.1   ,   lowerCAmelCase	: List[str]=0.0   ,   lowerCAmelCase	: Optional[int]=0.1   ,   lowerCAmelCase	: Dict=0.02   ,   lowerCAmelCase	: Optional[Any]=1e-5   ,   lowerCAmelCase	: str=True   ,   lowerCAmelCase	: Optional[int]=256   ,   lowerCAmelCase	: Dict=[6, 12, 18]   ,   lowerCAmelCase	: Any=0.1   ,   lowerCAmelCase	: Optional[int]=255   ,   **lowerCAmelCase	: Tuple   ,   )						->			Optional[int]:
      super().__init__(**lowerCAmelCase )

      a__  		=  num_channels
      a__  		=  image_size
      a__  		=  patch_size
      a__  		=  hidden_sizes
      a__  		=  neck_hidden_sizes
      a__  		=  num_attention_heads
      a__  		=  mlp_ratio
      a__  		=  expand_ratio
      a__  		=  hidden_act
      a__  		=  conv_kernel_size
      a__  		=  output_stride
      a__  		=  hidden_dropout_prob
      a__  		=  attention_probs_dropout_prob
      a__  		=  classifier_dropout_prob
      a__  		=  initializer_range
      a__  		=  layer_norm_eps
      a__  		=  qkv_bias

      # decode head attributes for semantic segmentation
      a__  		=  aspp_out_channels
      a__  		=  atrous_rates
      a__  		=  aspp_dropout_prob
      a__  		=  semantic_loss_ignore_index







class        UpperCAmelCase_					(				_a     ):
    UpperCAmelCase_      :							str    			=				version.parse('1.11'     )




    @property
    def     __lowerCamelCase			(       self	: List[Any] )						->			Mapping[str, Mapping[int, str]]:
      return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})] )




    @property
    def     __lowerCamelCase			(       self	: Optional[Any] )						->			Mapping[str, Mapping[int, str]]:
      if self.task == "image-classification":
        return OrderedDict([("logits", {0: "batch"})] )
      else:
        return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})] )




    @property
    def     __lowerCamelCase			(       self	: int )						->			float:
      return 1e-4


from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


_SCREAMING_SNAKE_CASE     =     datasets.utils.logging.get_logger(__name__)







class        UpperCAmelCase_					(				folder_based_builder.FolderBasedBuilderConfig     ):
    UpperCAmelCase_      :							bool    			=				None
    UpperCAmelCase_      :							bool    			=				None







class        UpperCAmelCase_					(				folder_based_builder.FolderBasedBuilder     ):
    UpperCAmelCase_      :							Any    			=				datasets.Image()
    UpperCAmelCase_      :							List[Any]    			=				'image'
    UpperCAmelCase_      :							int    			=				ImageFolderConfig
    UpperCAmelCase_      :							List[str]  # definition at the bottom of the script
    UpperCAmelCase_      :							Dict    			=				ImageClassification(image_column='image'  ,  label_column='label'     )

_SCREAMING_SNAKE_CASE     =     [
    """.blp""",
    """.bmp""",
    """.dib""",
    """.bufr""",
    """.cur""",
    """.pcx""",
    """.dcx""",
    """.dds""",
    """.ps""",
    """.eps""",
    """.fit""",
    """.fits""",
    """.fli""",
    """.flc""",
    """.ftc""",
    """.ftu""",
    """.gbr""",
    """.gif""",
    """.grib""",
    """.h5""",
    """.hdf""",
    """.png""",
    """.apng""",
    """.jp2""",
    """.j2k""",
    """.jpc""",
    """.jpf""",
    """.jpx""",
    """.j2c""",
    """.icns""",
    """.ico""",
    """.im""",
    """.iim""",
    """.tif""",
    """.tiff""",
    """.jfif""",
    """.jpe""",
    """.jpg""",
    """.jpeg""",
    """.mpg""",
    """.mpeg""",
    """.msp""",
    """.pcd""",
    """.pxr""",
    """.pbm""",
    """.pgm""",
    """.ppm""",
    """.pnm""",
    """.psd""",
    """.bw""",
    """.rgb""",
    """.rgba""",
    """.sgi""",
    """.ras""",
    """.tga""",
    """.icb""",
    """.vda""",
    """.vst""",
    """.webp""",
    """.wmf""",
    """.emf""",
    """.xbm""",
    """.xpm""",
]
_SCREAMING_SNAKE_CASE     =     IMAGE_EXTENSIONS

