





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   UpperCamelCase_       (     UpperCamelCase__				,  UpperCamelCase__    ):


							@register_to_config
							def __init__(							self    :Optional[Any]							,				__A    :int = 768							,				)   ->   List[str]:



									"""simple docstring"""



									super().__init__()

									SCREAMING_SNAKE_CASE__			=      nn.Parameter(torch.zeros(1							,				__A		)		)
									SCREAMING_SNAKE_CASE__			=      nn.Parameter(torch.ones(1							,				__A		)		)


							def      _snake_case  (							self    :List[str]							,				__A    :Optional[Union[str, torch.device]] = None							,				__A    :Optional[torch.dtype] = None							,				)   ->   Optional[int]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      nn.Parameter(self.mean.to(__A		).to(__A		)		)
									SCREAMING_SNAKE_CASE__			=      nn.Parameter(self.std.to(__A		).to(__A		)		)
									return self


							def      _snake_case  (							self    :List[Any]							,				__A    :str		)   ->   Dict:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      (embeds - self.mean) * 1.0 / self.std
									return embeds


							def      _snake_case  (							self    :Optional[Any]							,				__A    :int		)   ->   str:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      (embeds * self.std) + self.mean
									return embeds






import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate




@dataclass(frozen=UpperCamelCase__    )
class   UpperCamelCase_       (     UpperCamelCase__    ):
							lowerCamelCase_           =					field(default="image-classification"				,  metadata={"include_in_asdict_even_if_is_default": True}    )
							lowerCamelCase_           =					Features({"image": Image()}    )
							lowerCamelCase_           =					Features({"labels": ClassLabel}    )
							lowerCamelCase_           =					"image"
							lowerCamelCase_           =					"labels"


							def      _snake_case  (							self    :List[str]							,				__A    :Tuple		)   ->   Tuple:



									"""simple docstring"""



									if self.label_column not in features:
											raise ValueError(f'''Column {self.label_column} is not present in features.'''		)
									if not isinstance(features[self.label_column]							,				__A		):
											raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''		)
									SCREAMING_SNAKE_CASE__			=      copy.deepcopy(self		)
									SCREAMING_SNAKE_CASE__			=      self.label_schema.copy()
									SCREAMING_SNAKE_CASE__			=      features[self.label_column]
									SCREAMING_SNAKE_CASE__			=      label_schema
									return task_template


							@property
							def      _snake_case  (							self    :Dict		)   ->   Dict[str, str]:



									"""simple docstring"""



									return {
									    self.image_column: "image",
									    self.label_column: "labels",
									}