





import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
     import optax
     from flax.training.common_utils import onehot

     from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
     from transformers.models.ta.modeling_flax_ta import shift_tokens_right



@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class        _SCREAMING_SNAKE_CASE						(     unittest.TestCase   ):







 '''simple docstring'''

 @slow
 def 							SCREAMING_SNAKE_CASE_ (self    :       Dict)	->Any:



   '''simple docstring'''



   lowerCamelCase__:				List[str]        =FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small")
   lowerCamelCase__:				Tuple        =AutoTokenizer.from_pretrained("google/mt5-small")

   lowerCamelCase__:				Optional[Any]        =tokenizer("Hello there"	,			return_tensors="np").input_ids
   lowerCamelCase__:				Any        =tokenizer("Hi I am"	,			return_tensors="np").input_ids

   lowerCamelCase__:				Union[str, Any]        =shift_tokens_right(snake_case__	,			model.config.pad_token_id	,			model.config.decoder_start_token_id)

   lowerCamelCase__:				str        =model(snake_case__	,			decoder_input_ids=snake_case__).logits
   lowerCamelCase__:				Optional[int]        =optax.softmax_cross_entropy(snake_case__	,			onehot(snake_case__	,			logits.shape[-1])).mean()

   lowerCamelCase__:				Tuple        =-(labels.shape[-1] * loss.item())

   lowerCamelCase__:				Tuple        =-84.9127
   self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1E-4)













from ..utils import DummyObject, requires_backends



class        _SCREAMING_SNAKE_CASE						(     metaclass=__SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''
 lowercase_		=      ["torch", "torchsde"]

 def __init__(self    :       Union[str, Any]	,			*UpperCAmelCase_    :       Dict	,			**UpperCAmelCase_    :       Tuple)	->Any:



   '''simple docstring'''



   requires_backends(self	,			["torch", "torchsde"])

 @classmethod
 def 							SCREAMING_SNAKE_CASE_ (cls    :       Dict	,			*UpperCAmelCase_    :       Optional[int]	,			**UpperCAmelCase_    :       Optional[int])	->List[Any]:



   '''simple docstring'''



   requires_backends(cls	,			["torch", "torchsde"])







 @classmethod
 def 							SCREAMING_SNAKE_CASE_ (cls    :       Tuple	,			*UpperCAmelCase_    :       Tuple	,			**UpperCAmelCase_    :       Any)	->Any:



   '''simple docstring'''



   requires_backends(cls	,			["torch", "torchsde"])

