

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


lowercase_     =       logging.get_logger(__name__)

lowercase_     =       {
    'apple/mobilevitv2-1.0': 'https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json',
}





class 			__lowerCAmelCase					( __lowerCamelCase							):
  _a						      =  "mobilevitv2"




  def __init__(    self							,       lowerCAmelCase=3							,       lowerCAmelCase=256							,       lowerCAmelCase=2							,       lowerCAmelCase=2.0							,       lowerCAmelCase="swish"							,       lowerCAmelCase=3							,       lowerCAmelCase=32							,       lowerCAmelCase=0.1							,       lowerCAmelCase=0.02							,       lowerCAmelCase=1e-5							,       lowerCAmelCase=512							,       lowerCAmelCase=[6, 12, 18]							,       lowerCAmelCase=0.1							,       lowerCAmelCase=255							,       lowerCAmelCase=[2, 4, 3]							,       lowerCAmelCase=[128, 192, 256]							,       lowerCAmelCase=1.0							,       lowerCAmelCase=2							,       lowerCAmelCase=0.0							,       lowerCAmelCase=0.0							,       **lowerCAmelCase							,       )  ->			Any:
        '''simple docstring'''






        super().__init__(**_UpperCamelCase )

        _lowercase     	=num_channels
        _lowercase     	=image_size
        _lowercase     	=patch_size
        _lowercase     	=expand_ratio
        _lowercase     	=hidden_act
        _lowercase     	=conv_kernel_size
        _lowercase     	=output_stride
        _lowercase     	=initializer_range
        _lowercase     	=layer_norm_eps
        _lowercase     	=n_attn_blocks
        _lowercase     	=base_attn_unit_dims
        _lowercase     	=width_multiplier
        _lowercase     	=ffn_multiplier
        _lowercase     	=ffn_dropout
        _lowercase     	=attn_dropout
        _lowercase     	=classifier_dropout_prob

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





class 			__lowerCAmelCase					( __lowerCamelCase							):
  _a						      =  version.parse("""1.11"""							)




  @property
  def   A__					(    self )  ->			Mapping[str, Mapping[int, str]]:
        '''simple docstring'''






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




  @property
  def   A__					(    self )  ->			Mapping[str, Mapping[int, str]]:
        '''simple docstring'''






        if self.task == "image-classification":
              return OrderedDict([('logits', {0: 'batch'})] )
        else:
              return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})] )




  @property
  def   A__					(    self )  ->			float:
        '''simple docstring'''






        return 1e-4





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowercase_     =       logging.get_logger(__name__)





class 			__lowerCAmelCase					( SCREAMING_SNAKE_CASE							):




  def __init__(    self							,       *lowerCAmelCase							,       **lowerCAmelCase )  ->			None:
        '''simple docstring'''






        warnings.warn(
            'The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
            ' Please use LayoutLMv3ImageProcessor instead.'							,       lowerCAmelCase							,       )
        super().__init__(*lowerCAmelCase							,       **lowerCAmelCase )


