



'''simple docstring'''

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 		lowerCamelCase__      (						unittest.TestCase     ):




					'''simple docstring'''



					@slow
					def 						__UpperCAmelCase     (  self				:	Optional[Any]					)  ->       Tuple:



						'''simple docstring'''





						_lowercase					:       Optional[Any]       =		FlaxMTaForConditionalGeneration.from_pretrained('google/mt5-small'					)
						_lowercase					:       Dict       =		AutoTokenizer.from_pretrained('google/mt5-small'					)

						_lowercase					:       Any       =		tokenizer('Hello there'     ,  return_tensors='np'					).input_ids
						_lowercase					:       Any       =		tokenizer('Hi I am'     ,  return_tensors='np'					).input_ids

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

						_lowercase					:       List[Any]       =		model(UpperCamelCase_     ,  decoder_input_ids=UpperCamelCase_					).logits
						_lowercase					:       Dict       =		optax.softmax_cross_entropy(UpperCamelCase_     ,  onehot(UpperCamelCase_     ,  logits.shape[-1]					)					).mean()

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

						_lowercase					:       Optional[int]       =		-84.91_27
						self.assertTrue(abs(mtf_score - EXPECTED_SCORE					) < 1E-4					)





'''simple docstring'''

_A				:    Dict     						='''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

_A				:    Dict     						=[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
_A				:    Dict     						={
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}
