






'''simple docstring'''




from typing import Any







def       __UpperCAmelCase						(  lowerCamelCase_)							->     list[Any]:
		if not input_list:
				return []
		UpperCamelCase__				:					Dict					=					[input_list.count(lowerCamelCase_) for value in input_list]
		UpperCamelCase__				:					Optional[Any]					=					max(lowerCamelCase_)  # Gets the maximum count in the input list.
		# Gets values of modes
		return sorted({input_list[i] for i, value in enumerate(lowerCamelCase_) if value == y})


if __name__ == "__main__":
		import doctest

		doctest.testmod()












'''simple docstring'''




import warnings
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


lowerCAmelCase__          =						logging.get_logger(__name__)

lowerCAmelCase__          =						{
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}







class       __lowercase					(__lowerCamelCase    ):
	_lowerCamelCase              =  '''segformer'''

	def __init__(      self   :						Tuple  ,					UpperCAmelCase_   :						Optional[Any]=3  ,					UpperCAmelCase_   :						Optional[int]=4  ,					UpperCAmelCase_   :						Tuple=[2, 2, 2, 2]  ,					UpperCAmelCase_   :						List[str]=[8, 4, 2, 1]  ,					UpperCAmelCase_   :						Union[str, Any]=[32, 64, 160, 256]  ,					UpperCAmelCase_   :						Any=[7, 3, 3, 3]  ,					UpperCAmelCase_   :						Any=[4, 2, 2, 2]  ,					UpperCAmelCase_   :						Union[str, Any]=[1, 2, 5, 8]  ,					UpperCAmelCase_   :						Tuple=[4, 4, 4, 4]  ,					UpperCAmelCase_   :						str="gelu"  ,					UpperCAmelCase_   :						List[Any]=0.0  ,					UpperCAmelCase_   :						int=0.0  ,					UpperCAmelCase_   :						int=0.1  ,					UpperCAmelCase_   :						List[str]=0.02  ,					UpperCAmelCase_   :						Dict=0.1  ,					UpperCAmelCase_   :						Dict=1e-6  ,					UpperCAmelCase_   :						int=256  ,					UpperCAmelCase_   :						Optional[int]=255  ,					**UpperCAmelCase_   :						Tuple  ,					):
			super().__init__(**UpperCAmelCase_)

			if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
					warnings.warn(
					    'Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'
					    ' removed, as the behaviour will default to that of reshape_last_stage = True.'  ,					UpperCAmelCase_  ,					)

			UpperCamelCase__				:					List[Any]					=					num_channels
			UpperCamelCase__				:					Any					=					num_encoder_blocks
			UpperCamelCase__				:					Dict					=					depths
			UpperCamelCase__				:					int					=					sr_ratios
			UpperCamelCase__				:					str					=					hidden_sizes
			UpperCamelCase__				:					List[str]					=					patch_sizes
			UpperCamelCase__				:					Optional[int]					=					strides
			UpperCamelCase__				:					Dict					=					mlp_ratios
			UpperCamelCase__				:					List[str]					=					num_attention_heads
			UpperCamelCase__				:					int					=					hidden_act
			UpperCamelCase__				:					Any					=					hidden_dropout_prob
			UpperCamelCase__				:					str					=					attention_probs_dropout_prob
			UpperCamelCase__				:					List[str]					=					classifier_dropout_prob
			UpperCamelCase__				:					List[Any]					=					initializer_range
			UpperCamelCase__				:					Union[str, Any]					=					drop_path_rate
			UpperCamelCase__				:					int					=					layer_norm_eps
			UpperCamelCase__				:					Dict					=					decoder_hidden_size
			UpperCamelCase__				:					List[Any]					=					kwargs.get('reshape_last_stage'  ,					UpperCAmelCase_)
			UpperCamelCase__				:					List[str]					=					semantic_loss_ignore_index







class       __lowercase					(__lowerCamelCase    ):
	_lowerCamelCase              =  version.parse('''1.11'''    )

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

	@property
	def      __UpperCamelCase							(      self   :						Optional[Any]):
			return 1e-4





	@property
	def      __UpperCamelCase							(      self   :						Any):
			return 12




