'''simple docstring'''

import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
       from transformers import AutoModelForSeqaSeqLM, AutoTokenizer





@require_torch
@require_sentencepiece
@require_tokenizers
class 							lowercase						(						unittest.TestCase ):


   @slow
   def __UpperCAmelCase       (   self				:	Optional[Any])      ->					Dict:
         lowercase_     =      AutoModelForSeqaSeqLM.from_pretrained("google/mt5-small"   ,		return_dict=__lowerCAmelCase).to(__lowerCAmelCase)
         lowercase_     =      AutoTokenizer.from_pretrained("google/mt5-small")

         lowercase_     =      tokenizer("Hello there"   ,		return_tensors="pt").input_ids
         lowercase_     =      tokenizer("Hi I am"   ,		return_tensors="pt").input_ids

         lowercase_     =      model(input_ids.to(__lowerCAmelCase)   ,		labels=labels.to(__lowerCAmelCase)).loss
         lowercase_     =      -(labels.shape[-1] * loss.item())

         lowercase_     =      -84.9127
         self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)







'''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)






