'''simple docstring'''

import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


lowerCAmelCase_ : Dict						  =      logging.getLogger(__name__)





@dataclass
@add_start_docstrings(TrainingArguments.__doc__ )
class 							lowercase						(						__lowerCamelCase ):
			lowerCamelCase_    					=field(default=__lowerCamelCase ,				metadata={'help': 'Whether to use SortishSampler or not.'} )
			lowerCamelCase_    					=field(
			    default=__lowerCamelCase ,				metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'} )
			lowerCamelCase_    					=field(
			    default=__lowerCamelCase ,				metadata={
			        'help': (
			            'The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '
			            'to the `max_length` value of the model configuration.'
			        )
			    } ,				)
			lowerCamelCase_    					=field(
			    default=__lowerCamelCase ,				metadata={
			        'help': (
			            'The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '
			            'to the `num_beams` value of the model configuration.'
			        )
			    } ,				)
			lowerCamelCase_    					=field(
			    default=__lowerCamelCase ,				metadata={
			        'help': 'Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'
			    } ,				)


			def __UpperCAmelCase       (   self				:	Tuple)      ->					Optional[int]:
									lowercase_     =      super().to_dict()
									for k, v in d.items():
															if isinstance(__lowerCAmelCase   ,		__lowerCAmelCase):
																					lowercase_     =      v.to_dict()
									return d







'''simple docstring'''

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


lowerCAmelCase_ : Dict						  =      logging.get_logger(__name__)

lowerCAmelCase_ : List[Any]						  =      {
    "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json",
}





class 							lowercase						(						__lowerCamelCase ):
   lowerCamelCase_    					='lxmert'
   lowerCamelCase_    					={}


   def __init__(   self				:	str   ,		__lowerCAmelCase				:	str=3_0522   ,		__lowerCAmelCase				:	Dict=768   ,		__lowerCAmelCase				:	List[str]=12   ,		__lowerCAmelCase				:	List[str]=9500   ,		__lowerCAmelCase				:	Optional[int]=1600   ,		__lowerCAmelCase				:	Tuple=400   ,		__lowerCAmelCase				:	str=3072   ,		__lowerCAmelCase				:	str="gelu"   ,		__lowerCAmelCase				:	Optional[Any]=0.1   ,		__lowerCAmelCase				:	List[Any]=0.1   ,		__lowerCAmelCase				:	Tuple=512   ,		__lowerCAmelCase				:	Tuple=2   ,		__lowerCAmelCase				:	Dict=0.02   ,		__lowerCAmelCase				:	int=1e-12   ,		__lowerCAmelCase				:	Union[str, Any]=9   ,		__lowerCAmelCase				:	List[str]=5   ,		__lowerCAmelCase				:	Any=5   ,		__lowerCAmelCase				:	Dict=2048   ,		__lowerCAmelCase				:	Any=4   ,		__lowerCAmelCase				:	Optional[int]=6.67   ,		__lowerCAmelCase				:	Optional[Any]=True   ,		__lowerCAmelCase				:	Tuple=True   ,		__lowerCAmelCase				:	Optional[int]=True   ,		__lowerCAmelCase				:	List[Any]=True   ,		__lowerCAmelCase				:	Optional[Any]=True   ,		__lowerCAmelCase				:	int=True   ,		__lowerCAmelCase				:	List[str]=True   ,		**__lowerCAmelCase				:	Dict   ,		)      ->					Dict:
         lowercase_     =      vocab_size
         lowercase_     =      hidden_size
         lowercase_     =      num_attention_heads
         lowercase_     =      hidden_act
         lowercase_     =      intermediate_size
         lowercase_     =      hidden_dropout_prob
         lowercase_     =      attention_probs_dropout_prob
         lowercase_     =      max_position_embeddings
         lowercase_     =      type_vocab_size
         lowercase_     =      initializer_range
         lowercase_     =      layer_norm_eps
         lowercase_     =      num_qa_labels
         lowercase_     =      num_object_labels
         lowercase_     =      num_attr_labels
         lowercase_     =      l_layers
         lowercase_     =      x_layers
         lowercase_     =      r_layers
         lowercase_     =      visual_feat_dim
         lowercase_     =      visual_pos_dim
         lowercase_     =      visual_loss_normalizer
         lowercase_     =      task_matched
         lowercase_     =      task_mask_lm
         lowercase_     =      task_obj_predict
         lowercase_     =      task_qa
         lowercase_     =      visual_obj_loss
         lowercase_     =      visual_attr_loss
         lowercase_     =      visual_feat_loss
         lowercase_     =      {"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
         super().__init__(**__lowerCAmelCase)






