



"""simple docstring"""





import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


lowerCamelCase  			=		logging.getLogger(__name__)
@dataclass
class  lowercase__  (       SCREAMING_SNAKE_CASE ):







       '''simple docstring'''


       UpperCamelCase		=	field(
           default=0.0							,   metadata={'''help''': '''The label smoothing epsilon to apply (if not zero).'''} )
       UpperCamelCase		=	field(default=SCREAMING_SNAKE_CASE							,   metadata={'''help''': '''Whether to SortishSamler or not.'''} )
       UpperCamelCase		=	field(
           default=SCREAMING_SNAKE_CASE							,   metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''} )
       UpperCamelCase		=	field(default=SCREAMING_SNAKE_CASE							,   metadata={'''help''': '''whether to use adafactor'''} )
       UpperCamelCase		=	field(
           default=SCREAMING_SNAKE_CASE							,   metadata={'''help''': '''Encoder layer dropout probability. Goes into model.config.'''} )
       UpperCamelCase		=	field(
           default=SCREAMING_SNAKE_CASE							,   metadata={'''help''': '''Decoder layer dropout probability. Goes into model.config.'''} )
       UpperCamelCase		=	field(default=SCREAMING_SNAKE_CASE							,   metadata={'''help''': '''Dropout probability. Goes into model.config.'''} )
       UpperCamelCase		=	field(
           default=SCREAMING_SNAKE_CASE							,   metadata={'''help''': '''Attention dropout probability. Goes into model.config.'''} )
       UpperCamelCase		=	field(
           default='''linear'''							,   metadata={'''help''': F"Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys() )}"}							,   )












from typing import Dict

from .base import GenericTensor, Pipeline
class  _UpperCAmelCase   (			A__      ):

				"""simple docstring"""




				def 							lowercase__  (	self		:       Any,    lowerCamelCase		:       Tuple=None,    lowerCamelCase		:       Union[str, Any]=None,    lowerCamelCase		:       Union[str, Any]=None,    **lowerCamelCase		:       List[Any]    ):

								'''simple docstring'''
								if tokenize_kwargs is None:
												lowercase__  					=     {}

								if truncation is not None:
												if "truncation" in tokenize_kwargs:
																raise ValueError(
																    '''truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)'''    )
												lowercase__  					=     truncation

								lowercase__  					=     tokenize_kwargs

								lowercase__  					=     {}
								if return_tensors is not None:
												lowercase__  					=     return_tensors

								return preprocess_params, {}, postprocess_params




				def 							lowercase__  (	self		:       Tuple,    lowerCamelCase		:       Optional[int],    **lowerCamelCase		:       List[Any]    ):

								'''simple docstring'''
								lowercase__  					=     self.framework
								lowercase__  					=     self.tokenizer(lowerCamelCase,    return_tensors=lowerCamelCase,    **lowerCamelCase    )
								return model_inputs




				def 							lowercase__  (	self		:       Union[str, Any],    lowerCamelCase		:       Dict    ):

								'''simple docstring'''
								lowercase__  					=     self.model(**lowerCamelCase    )
								return model_outputs




				def 							lowercase__  (	self		:       Union[str, Any],    lowerCamelCase		:       Dict,    lowerCamelCase		:       Tuple=False    ):

								'''simple docstring'''
								# [0] is the first available tensor, logits or last_hidden_state.
								if return_tensors:
												return model_outputs[0]
								if self.framework == "pt":
												return model_outputs[0].tolist()
								elif self.framework == "tf":
												return model_outputs[0].numpy().tolist()




				def __call__(	self		:       List[str],    *lowerCamelCase		:       List[Any],    **lowerCamelCase		:       str    ):

								'''simple docstring'''
								return super().__call__(*lowerCamelCase,    **lowerCamelCase    )




