
"""simple docstring"""






import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__UpperCAmelCase       =  get_tests_dir('fixtures/spiece.model')




@require_sentencepiece
@require_tokenizers
class 			_SCREAMING_SNAKE_CASE					(			A__	, unittest.TestCase							):
			UpperCAmelCase_  :Any				 =						DebertaVaTokenizer
			UpperCAmelCase_  :int				 =						DebertaVaTokenizerFast
			UpperCAmelCase_  :Optional[Any]				 =						True
			UpperCAmelCase_  :List[Any]				 =						True






			def  __lowerCAmelCase (					self       )			->     List[str]:
						super().setUp()

						# We have a SentencePiece fixture for testing
						lowerCAmelCase_    :List[Any]			     =  DebertaVaTokenizer(__A       ,   unk_token="""<unk>"""       )
						tokenizer.save_pretrained(self.tmpdirname       )






			def  __lowerCAmelCase (					self       ,   __A       )			->     int:
						lowerCAmelCase_    :List[str]			     =  """this is a test"""
						lowerCAmelCase_    :Union[str, Any]			     =  """this is a test"""
						return input_text, output_text






			def  __lowerCAmelCase (					self       )			->     Tuple:
						lowerCAmelCase_    :Dict			     =  """<pad>"""
						lowerCAmelCase_    :Dict			     =  0

						self.assertEqual(self.get_tokenizer()._convert_token_to_id(__A       )       ,   __A       )
						self.assertEqual(self.get_tokenizer()._convert_id_to_token(__A       )       ,   __A       )






			def  __lowerCAmelCase (					self       )			->     List[Any]:
						lowerCAmelCase_    :Any			     =  list(self.get_tokenizer().get_vocab().keys()       )
						self.assertEqual(vocab_keys[0]       ,   """<pad>"""       )
						self.assertEqual(vocab_keys[1]       ,   """<unk>"""       )
						self.assertEqual(vocab_keys[-1]       ,   """[PAD]"""       )
						self.assertEqual(len(__A       )       ,   3_0001       )






			def  __lowerCAmelCase (					self       )			->     str:
						self.assertEqual(self.get_tokenizer().vocab_size       ,   3_0000       )






			def  __lowerCAmelCase (					self       )			->     str:
						# fmt: off
						lowerCAmelCase_    :Union[str, Any]			     =  """ \tHeLLo!how  \n Are yoU?  """
						lowerCAmelCase_    :int			     =  ["""▁hello""", """!""", """how""", """▁are""", """▁you""", """?"""]
						# fmt: on

						lowerCAmelCase_    :List[str]			     =  DebertaVaTokenizer(__A       ,   do_lower_case=__A       )
						lowerCAmelCase_    :Any			     =  tokenizer.convert_ids_to_tokens(tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :Union[str, Any]			     =  DebertaVaTokenizerFast(__A       ,   do_lower_case=__A       )
						lowerCAmelCase_    :List[str]			     =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )






			@unittest.skip("""There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."""       )
			def  __lowerCAmelCase (					self       )			->     Any:
						pass






			@unittest.skip("""There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."""       )
			def  __lowerCAmelCase (					self       )			->     int:
						pass






			def  __lowerCAmelCase (					self       )			->     Dict:
						# fmt: off
						lowerCAmelCase_    :List[str]			     =  """I was born in 92000, and this is falsé."""
						lowerCAmelCase_    :int			     =  ["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
						# fmt: on

						lowerCAmelCase_    :str			     =  DebertaVaTokenizer(__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :str			     =  tokenizer.convert_ids_to_tokens(tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :Any			     =  DebertaVaTokenizerFast(__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :int			     =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )






			def  __lowerCAmelCase (					self       )			->     Any:
						# fmt: off
						lowerCAmelCase_    :Any			     =  """I was born in 92000, and this is falsé."""
						lowerCAmelCase_    :Tuple			     =  ["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
						# fmt: on

						lowerCAmelCase_    :int			     =  DebertaVaTokenizer(__A       ,   do_lower_case=__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :List[str]			     =  tokenizer.convert_ids_to_tokens(tokenizer.encode(__A       ,   add_special_tokens=__A       )       )
						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :Union[str, Any]			     =  DebertaVaTokenizerFast(__A       ,   do_lower_case=__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :List[str]			     =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )       )
						self.assertListEqual(__A       ,   __A       )






			def  __lowerCAmelCase (					self       )			->     Union[str, Any]:
						# fmt: off
						lowerCAmelCase_    :int			     =  """I was born in 92000, and this is falsé."""
						lowerCAmelCase_    :List[Any]			     =  ["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """.""", ]
						# fmt: on

						lowerCAmelCase_    :Tuple			     =  DebertaVaTokenizer(__A       ,   do_lower_case=__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :List[str]			     =  tokenizer.convert_ids_to_tokens(tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :Dict			     =  DebertaVaTokenizerFast(__A       ,   do_lower_case=__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :Optional[int]			     =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )






			def  __lowerCAmelCase (					self       )			->     Any:
						# fmt: off
						lowerCAmelCase_    :Any			     =  """I was born in 92000, and this is falsé."""
						lowerCAmelCase_    :int			     =  ["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
						# fmt: on

						lowerCAmelCase_    :List[Any]			     =  DebertaVaTokenizer(__A       ,   do_lower_case=__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :Optional[Any]			     =  tokenizer.convert_ids_to_tokens(tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :Optional[int]			     =  DebertaVaTokenizerFast(__A       ,   do_lower_case=__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :List[Any]			     =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )






			def  __lowerCAmelCase (					self       )			->     str:
						# fmt: off
						lowerCAmelCase_    :Optional[int]			     =  """ \tHeLLo!how  \n Are yoU?  """
						lowerCAmelCase_    :List[Any]			     =  ["""▁""", """<unk>""", """e""", """<unk>""", """o""", """!""", """how""", """▁""", """<unk>""", """re""", """▁yo""", """<unk>""", """?"""]
						# fmt: on

						lowerCAmelCase_    :Union[str, Any]			     =  DebertaVaTokenizer(__A       ,   do_lower_case=__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :List[Any]			     =  tokenizer.convert_ids_to_tokens(tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :str			     =  DebertaVaTokenizerFast(__A       ,   do_lower_case=__A       ,   split_by_punct=__A       )
						lowerCAmelCase_    :Optional[int]			     =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )       )

						self.assertListEqual(__A       ,   __A       )






			def  __lowerCAmelCase (					self       )			->     List[Any]:
						lowerCAmelCase_    :Tuple			     =  self.get_tokenizer()
						lowerCAmelCase_    :str			     =  self.get_rust_tokenizer()

						lowerCAmelCase_    :List[str]			     =  """I was born in 92000, and this is falsé."""

						lowerCAmelCase_    :Tuple			     =  tokenizer.convert_ids_to_tokens(tokenizer.encode(__A       ,   add_special_tokens=__A       )       )
						lowerCAmelCase_    :Tuple			     =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )       )
						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :str			     =  tokenizer.encode(__A       ,   add_special_tokens=__A       )
						lowerCAmelCase_    :int			     =  rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )
						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :List[str]			     =  self.get_rust_tokenizer()
						lowerCAmelCase_    :Dict			     =  tokenizer.encode(__A       )
						lowerCAmelCase_    :Dict			     =  rust_tokenizer.encode(__A       )
						self.assertListEqual(__A       ,   __A       )






			def  __lowerCAmelCase (					self       )			->     List[Any]:
						lowerCAmelCase_    :str			     =  """This is a test"""
						lowerCAmelCase_    :int			     =  [13, 1, 4398, 25, 21, 1289]
						lowerCAmelCase_    :Optional[Any]			     =  ["""▁""", """T""", """his""", """▁is""", """▁a""", """▁test"""]
						lowerCAmelCase_    :str			     =  ["""▁""", """<unk>""", """his""", """▁is""", """▁a""", """▁test"""]

						lowerCAmelCase_    :Any			     =  DebertaVaTokenizer(__A       ,   keep_accents=__A       )
						lowerCAmelCase_    :Optional[int]			     =  DebertaVaTokenizerFast(__A       ,   keep_accents=__A       )

						lowerCAmelCase_    :Union[str, Any]			     =  tokenizer.encode(__A       ,   add_special_tokens=__A       )
						self.assertListEqual(__A       ,   __A       )
						lowerCAmelCase_    :List[Any]			     =  tokenizer.tokenize(__A       )
						self.assertListEqual(__A       ,   __A       )
						lowerCAmelCase_    :Tuple			     =  tokenizer.convert_ids_to_tokens(__A       )
						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :int			     =  rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )
						self.assertListEqual(__A       ,   __A       )
						lowerCAmelCase_    :Dict			     =  rust_tokenizer.tokenize(__A       )
						self.assertListEqual(__A       ,   __A       )
						lowerCAmelCase_    :List[str]			     =  rust_tokenizer.convert_ids_to_tokens(__A       )
						self.assertListEqual(__A       ,   __A       )

						# fmt: off
						lowerCAmelCase_    :Tuple			     =  """I was born in 92000, and this is falsé."""
						lowerCAmelCase_    :Optional[Any]			     =  [13, 1, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]
						lowerCAmelCase_    :List[Any]			     =  ["""▁""", """I""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """é""", """.""", ]
						lowerCAmelCase_    :Optional[Any]			     =  ["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """.""", ]
						# fmt: on

						lowerCAmelCase_    :int			     =  tokenizer.encode(__A       ,   add_special_tokens=__A       )
						self.assertListEqual(__A       ,   __A       )
						lowerCAmelCase_    :Any			     =  tokenizer.tokenize(__A       )
						self.assertListEqual(__A       ,   __A       )
						lowerCAmelCase_    :List[Any]			     =  tokenizer.convert_ids_to_tokens(__A       )
						self.assertListEqual(__A       ,   __A       )

						lowerCAmelCase_    :str			     =  rust_tokenizer.encode(__A       ,   add_special_tokens=__A       )
						self.assertListEqual(__A       ,   __A       )
						lowerCAmelCase_    :Optional[Any]			     =  rust_tokenizer.tokenize(__A       )
						self.assertListEqual(__A       ,   __A       )
						lowerCAmelCase_    :str			     =  rust_tokenizer.convert_ids_to_tokens(__A       )
						self.assertListEqual(__A       ,   __A       )






			def  __lowerCAmelCase (					self       )			->     str:
						lowerCAmelCase_    :Optional[int]			     =  DebertaVaTokenizer(__A       )

						lowerCAmelCase_    :List[Any]			     =  tokenizer.encode("""sequence builders"""       )
						lowerCAmelCase_    :Dict			     =  tokenizer.encode("""multi-sequence build"""       )

						lowerCAmelCase_    :int			     =  tokenizer.build_inputs_with_special_tokens(__A       )
						lowerCAmelCase_    :Optional[Any]			     =  tokenizer.build_inputs_with_special_tokens(__A       ,   __A       )

						self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]       ,   __A       )
						self.assertEqual(
						    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]       ,   __A       ,   )






			@slow
			def  __lowerCAmelCase (					self       )			->     Tuple:
						# fmt: off
						lowerCAmelCase_    :List[Any]			     =  {"""input_ids""": [[1, 3_9867, 36, 1_9390, 486, 27, 3_5052, 8_1436, 18, 6_0685, 1225, 7, 3_5052, 8_1436, 18, 9367, 1_6899, 18, 1_5937, 53, 594, 773, 18, 1_6287, 3_0465, 36, 1_5937, 6, 4_1139, 38, 3_6979, 6_0763, 191, 6, 3_4132, 99, 6, 5_0538, 390, 4_3230, 6, 3_4132, 2779, 2_0850, 14, 699, 1072, 1194, 36, 382, 1_0901, 53, 7, 699, 1072, 2084, 36, 2_0422, 630, 53, 19, 105, 3049, 1896, 1053, 1_6899, 1506, 11, 3_7978, 4243, 7, 1237, 3_1869, 200, 1_6566, 654, 6, 3_5052, 8_1436, 7, 5_5630, 1_3593, 4, 2], [1, 26, 1_5011, 13, 667, 8, 1053, 18, 2_3611, 1237, 7_2356, 1_2820, 34, 10_4134, 1209, 35, 1_3313, 6627, 21, 202, 347, 7, 164, 2399, 11, 46, 4485, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 1232, 2864, 1_5785, 1_4951, 105, 5, 8581, 1250, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """token_type_ids""": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
						# fmt: on

						self.tokenizer_integration_test_util(
						    expected_encoding=__A       ,   model_name="""microsoft/deberta-v2-xlarge"""       ,   revision="""ad6e42c1532ddf3a15c39246b63f5559d558b670"""       ,   )








import unittest

import torch

from diffusers import DDIMScheduler, DDPMScheduler, UNetaDModel
from diffusers.training_utils import set_seed
from diffusers.utils.testing_utils import slow


_lowerCamelCase       :				int       =			False




class    SCREAMING_SNAKE_CASE__     (	unittest.TestCase					):





	'''simple docstring'''



	def  A							(  self	:    Union[str, Any]			,  lowercase	:    Optional[int]=32	):


				'''simple docstring'''


				set_seed(0	)
				_snake_case		=			UNetaDModel(sample_size=lowercase			,  in_channels=3			,  out_channels=3	)
				_snake_case		=			torch.optim.SGD(model.parameters()			,  lr=0.0001	)
				return model, optimizer





	@slow
	def  A							(  self	:    List[str]	):


				'''simple docstring'''


				_snake_case		=			'cpu'  # ensure full determinism without setting the CUBLAS_WORKSPACE_CONFIG env variable
				_snake_case		=			DDPMScheduler(
				    num_train_timesteps=1_000			,  beta_start=0.0001			,  beta_end=0.02			,  beta_schedule='linear'			,  clip_sample=lowercase			,  )
				_snake_case		=			DDIMScheduler(
				    num_train_timesteps=1_000			,  beta_start=0.0001			,  beta_end=0.02			,  beta_schedule='linear'			,  clip_sample=lowercase			,  )

				assert ddpm_scheduler.config.num_train_timesteps == ddim_scheduler.config.num_train_timesteps

				# shared batches for DDPM and DDIM
				set_seed(0	)
				_snake_case		=			[torch.randn((4, 3, 32, 32)	).clip(-1			,  1	).to(lowercase	) for _ in range(4	)]
				_snake_case		=			[torch.randn((4, 3, 32, 32)	).to(lowercase	) for _ in range(4	)]
				_snake_case		=			[torch.randint(0			,  1_000			,  (4,)	).long().to(lowercase	) for _ in range(4	)]

				# train with a DDPM scheduler
				_snake_case	,					_snake_case		=			self.get_model_optimizer(resolution=32	)
				model.train().to(lowercase	)
				for i in range(4	):
							optimizer.zero_grad()
							_snake_case		=			ddpm_scheduler.add_noise(clean_images[i]			,  noise[i]			,  timesteps[i]	)
							_snake_case		=			model(lowercase			,  timesteps[i]	).sample
							_snake_case		=			torch.nn.functional.mse_loss(lowercase			,  noise[i]	)
							loss.backward()
							optimizer.step()
				del model, optimizer

				# recreate the model and optimizer, and retry with DDIM
				_snake_case	,					_snake_case		=			self.get_model_optimizer(resolution=32	)
				model.train().to(lowercase	)
				for i in range(4	):
							optimizer.zero_grad()
							_snake_case		=			ddim_scheduler.add_noise(clean_images[i]			,  noise[i]			,  timesteps[i]	)
							_snake_case		=			model(lowercase			,  timesteps[i]	).sample
							_snake_case		=			torch.nn.functional.mse_loss(lowercase			,  noise[i]	)
							loss.backward()
							optimizer.step()
				del model, optimizer

				self.assertTrue(torch.allclose(lowercase			,  lowercase			,  atol=1E-5	)	)
				self.assertTrue(torch.allclose(lowercase			,  lowercase			,  atol=1E-5	)	)