


'''simple docstring'''






from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


__UpperCAmelCase       							=				{
    '''susnato/ernie-m-base_pytorch''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json''',
    '''susnato/ernie-m-large_pytorch''': '''https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json''',
}




class 						a__							(				a__    ):





							'''simple docstring'''






							lowercase__     :  Dict      		= "ernie_m"
							lowercase__     :  Dict[str, str]      		= {"dropout": "classifier_dropout", "num_classes": "num_labels"}







							def __init__(						self   ,       lowerCamelCase_ = 25_00_02   ,       lowerCamelCase_ = 7_68   ,       lowerCamelCase_ = 12   ,       lowerCamelCase_ = 12   ,       lowerCamelCase_ = 30_72   ,       lowerCamelCase_ = "gelu"   ,       lowerCamelCase_ = 0.1   ,       lowerCamelCase_ = 0.1   ,       lowerCamelCase_ = 5_14   ,       lowerCamelCase_ = 0.02   ,       lowerCamelCase_ = 1   ,       lowerCamelCase_ = 1e-05   ,       lowerCamelCase_=None   ,       lowerCamelCase_=False   ,       lowerCamelCase_=0.0   ,       **lowerCamelCase_   ,       )			->				str:
														super().__init__(pad_token_id=lowerCamelCase_   ,       **lowerCamelCase_  )
														lowerCAmelCase__			  =      vocab_size
														lowerCAmelCase__			  =      hidden_size
														lowerCAmelCase__			  =      num_hidden_layers
														lowerCAmelCase__			  =      num_attention_heads
														lowerCAmelCase__			  =      intermediate_size
														lowerCAmelCase__			  =      hidden_act
														lowerCAmelCase__			  =      hidden_dropout_prob
														lowerCAmelCase__			  =      attention_probs_dropout_prob
														lowerCAmelCase__			  =      max_position_embeddings
														lowerCAmelCase__			  =      initializer_range
														lowerCAmelCase__			  =      layer_norm_eps
														lowerCAmelCase__			  =      classifier_dropout
														lowerCAmelCase__			  =      is_decoder
														lowerCAmelCase__			  =      act_dropout



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

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


@dataclass(frozen=A     )
class 		_SCREAMING_SNAKE_CASE     (						A     ):
     __SCREAMING_SNAKE_CASE     					=    field(default='''image-classification'''							,	metadata={'''include_in_asdict_even_if_is_default''': True}     )
     __SCREAMING_SNAKE_CASE     					=    Features({'''image''': Image()}     )
     __SCREAMING_SNAKE_CASE     					=    Features({'''labels''': ClassLabel}     )
     __SCREAMING_SNAKE_CASE     					=    "image"
     __SCREAMING_SNAKE_CASE     					=    "labels"


     def        __snake_case(  self							,					A_    ):
       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.'''    )
       _UpperCAmelCase		:							Tuple							=     copy.deepcopy(self    )
       _UpperCAmelCase		:							str							=     self.label_schema.copy()
       _UpperCAmelCase		:							Optional[Any]							=     features[self.label_column]
       _UpperCAmelCase		:							int							=     label_schema
       return task_template




     @property
     def        __snake_case(  self    ):
       return {
           self.image_column: "image",
           self.label_column: "labels",
       }





