




from typing import List, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__    :							Tuple       		=     logging.get_logger(__name__)

UpperCAmelCase__    :							List[Any]       		=     {
    'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/config.json',
    # See all LED models at https://huggingface.co/models?filter=led
}

class   UpperCAmelCase    (      A ):
   __SCREAMING_SNAKE_CASE		:				Dict      					=       "led"
   __SCREAMING_SNAKE_CASE		:				str      					=       {
       "num_attention_heads": "encoder_attention_heads",
       "hidden_size": "d_model",
       "attention_probs_dropout_prob": "attention_dropout",
       "initializer_range": "init_std",
   }






   def __init__(						self :							Tuple    ,       UpperCamelCase_ :							str=5_02_65    ,       UpperCamelCase_ :							int=1_63_84    ,       UpperCamelCase_ :							int=10_24    ,       UpperCamelCase_ :							str=12    ,       UpperCamelCase_ :							Dict=40_96    ,       UpperCamelCase_ :							Union[str, Any]=16    ,       UpperCamelCase_ :							Optional[Any]=12    ,       UpperCamelCase_ :							Union[str, Any]=40_96    ,       UpperCamelCase_ :							Dict=16    ,       UpperCamelCase_ :							Union[str, Any]=0.0    ,       UpperCamelCase_ :							Any=0.0    ,       UpperCamelCase_ :							List[Any]=True    ,       UpperCamelCase_ :							Optional[Any]=True    ,       UpperCamelCase_ :							List[Any]="gelu"    ,       UpperCamelCase_ :							str=10_24    ,       UpperCamelCase_ :							Any=0.1    ,       UpperCamelCase_ :							Optional[Any]=0.0    ,       UpperCamelCase_ :							int=0.0    ,       UpperCamelCase_ :							Union[str, Any]=0.02    ,       UpperCamelCase_ :							Optional[int]=2    ,       UpperCamelCase_ :							List[Any]=0.0    ,       UpperCamelCase_ :							Optional[int]=1    ,       UpperCamelCase_ :							str=0    ,       UpperCamelCase_ :							Tuple=2    ,       UpperCamelCase_ :							Union[List[int], int] = 5_12    ,       **UpperCamelCase_ :							List[str]    ,       )->      str:
     _lowercase:			int      =     vocab_size
     _lowercase:			List[str]      =     max_encoder_position_embeddings
     _lowercase:			List[str]      =     max_decoder_position_embeddings
     _lowercase:			Any      =     d_model
     _lowercase:			Dict      =     encoder_ffn_dim
     _lowercase:			str      =     encoder_layers
     _lowercase:			Optional[Any]      =     encoder_attention_heads
     _lowercase:			List[Any]      =     decoder_ffn_dim
     _lowercase:			List[Any]      =     decoder_layers
     _lowercase:			List[Any]      =     decoder_attention_heads
     _lowercase:			Dict      =     dropout
     _lowercase:			Union[str, Any]      =     attention_dropout
     _lowercase:			Union[str, Any]      =     activation_dropout
     _lowercase:			Any      =     activation_function
     _lowercase:			List[Any]      =     init_std
     _lowercase:			str      =     encoder_layerdrop
     _lowercase:			Tuple      =     decoder_layerdrop
     _lowercase:			str      =     classifier_dropout
     _lowercase:			List[str]      =     use_cache
     _lowercase:			Optional[Any]      =     encoder_layers
     _lowercase:			List[Any]      =     attention_window

     super().__init__(
         pad_token_id=UpperCamelCase_    ,       bos_token_id=UpperCamelCase_    ,       eos_token_id=UpperCamelCase_    ,       is_encoder_decoder=UpperCamelCase_    ,       decoder_start_token_id=UpperCamelCase_    ,       **UpperCamelCase_    ,       )






from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


UpperCAmelCase__    :							Tuple       		=     [
    'AutomaticSpeechRecognition',
    'AudioClassification',
    'ImageClassification',
    'LanguageModeling',
    'QuestionAnsweringExtractive',
    'Summarization',
    'TaskTemplate',
    'TextClassification',
]

UpperCAmelCase__    :							Tuple       		=     get_logger(__name__)


UpperCAmelCase__    :							List[Any]       		=     {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		Optional[TaskTemplate]:





  """simple docstring"""





  _lowercase:			Union[str, Any]      =     task_template_dict.get('task'				)
  if task_name is None:
    logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(UpperCamelCase				)}'				)
    return None
  _lowercase:			int      =     NAMEaTEMPLATE.get(UpperCamelCase				)
  return template.from_dict(UpperCamelCase				)
