





"""simple docstring"""





import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
							import torch
@require_torch
@require_optimum
@slow
class 		SCREAMING_SNAKE_CASE_				(     unittest.TestCase ):
				"""simple docstring"""




				def        __lowercase	(  self	:Tuple      ):
											__lowerCamelCase   :   str       ='''hf-internal-testing/tiny-random-t5'''
											__lowerCamelCase   :   Tuple       =AutoTokenizer.from_pretrained(__lowercase      )
											__lowerCamelCase   :   Optional[int]       =AutoModelForSeqaSeqLM.from_pretrained(__lowercase      )

											__lowerCamelCase   :   Union[str, Any]       =tokenizer('''This is me'''    ,     return_tensors='''pt'''      )

											__lowerCamelCase   :   Any       =model.to_bettertransformer()

											self.assertTrue(any('''BetterTransformer''' in mod.__class__.__name__ for _, mod in model.named_modules()      )      )

											__lowerCamelCase   :   str       =model.generate(**__lowercase      )

											__lowerCamelCase   :   Optional[Any]       =model.reverse_bettertransformer()

											self.assertFalse(any('''BetterTransformer''' in mod.__class__.__name__ for _, mod in model.named_modules()      )      )

											with tempfile.TemporaryDirectory() as tmpdirname:
																		model.save_pretrained(__lowercase      )

																		__lowerCamelCase   :   Optional[int]       =AutoModelForSeqaSeqLM.from_pretrained(__lowercase      )

																		self.assertFalse(
																		    any('''BetterTransformer''' in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()      )      )

																		__lowerCamelCase   :   Optional[int]       =model_reloaded.generate(**__lowercase      )
																		self.assertTrue(torch.allclose(__lowercase    ,     __lowercase      )      )




				def        __lowercase	(  self	:Union[str, Any]      ):
											__lowerCamelCase   :   str       ='''hf-internal-testing/tiny-random-t5'''
											__lowerCamelCase   :   Dict       =AutoModelForSeqaSeqLM.from_pretrained(__lowercase      )

											__lowerCamelCase   :   Dict       =model.to_bettertransformer()

											with tempfile.TemporaryDirectory() as tmpdirname:
																		with self.assertRaises(__lowercase      ):
																									model.save_pretrained(__lowercase      )

																		__lowerCamelCase   :   Any       =model.reverse_bettertransformer()
																		model.save_pretrained(__lowercase      )











"""simple docstring"""





import numpy as np



def 					lowerCAmelCase_      (   SCREAMING_SNAKE_CASE							:				np.array ):


							'''simple docstring'''







							return 1 / (1 + np.exp(-vector ))


if __name__ == "__main__":
							import doctest

							doctest.testmod()




