

from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin



class   lowercase_   (  __lowercase       ,							__lowercase					):



						@register_to_config
						def __init__(      self				:    Optional[Any]      , A__				:    int = 768      , )   ->					Any:
								super().__init__()

								_snake_case						=							nn.Parameter(torch.zeros(1      , A__		)		)
								_snake_case						=							nn.Parameter(torch.ones(1      , A__		)		)



						def 						UpperCamelCase_		(      self				:    Tuple      , A__				:    Optional[Union[str, torch.device]] = None      , A__				:    Optional[torch.dtype] = None      , )   ->					Union[str, Any]:
								_snake_case						=							nn.Parameter(self.mean.to(A__		).to(A__		)		)
								_snake_case						=							nn.Parameter(self.std.to(A__		).to(A__		)		)
								return self



						def 						UpperCamelCase_		(      self				:    Union[str, Any]      , A__				:    Optional[Any]		)   ->					List[Any]:
								_snake_case						=							(embeds - self.mean) * 1.0 / self.std
								return embeds







						def 						UpperCamelCase_		(      self				:    Optional[Any]      , A__				:    List[str]		)   ->					Optional[Any]:
								_snake_case						=							(embeds * self.std) + self.mean
								return embeds




import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


__A      		=     logging.get_logger(__name__)



class   lowercase_   (  __lowercase					):



      def __init__(      self				:    Optional[Any]      , *A__				:    List[Any]      , **A__				:    int		)   ->					None:
        warnings.warn(
            '''The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
            ''' Please use DeformableDetrImageProcessor instead.'''      , A__      , )
        super().__init__(*A__      , **A__		)

