

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     ):




			"""simple docstring"""







			@slow
			def 	_SCREAMING_SNAKE_CASE      (			self  :					int):
									SCREAMING_SNAKE_CASE_:			Any  		=	AutoModelForSeqaSeqLM.from_pretrained("google/mt5-small"       ,						return_dict=__UpperCAmelCase).to(__UpperCAmelCase)
									SCREAMING_SNAKE_CASE_:			int  		=	AutoTokenizer.from_pretrained("google/mt5-small")

									SCREAMING_SNAKE_CASE_:			Any  		=	tokenizer("Hello there"       ,						return_tensors="pt").input_ids
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	tokenizer("Hi I am"       ,						return_tensors="pt").input_ids

									SCREAMING_SNAKE_CASE_:			str  		=	model(input_ids.to(__UpperCAmelCase)       ,						labels=labels.to(__UpperCAmelCase)).loss
									SCREAMING_SNAKE_CASE_:			int  		=	-(labels.shape[-1] * loss.item())

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



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase							:  Optional[int]            =						{"""configuration_yolos""": ["""YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP""", """YolosConfig""", """YolosOnnxConfig"""]}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Any            =						["""YolosFeatureExtractor"""]
						lowerCAmelCase							:  Tuple            =						["""YolosImageProcessor"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Any            =						[
						    """YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """YolosForObjectDetection""",
						    """YolosModel""",
						    """YolosPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_yolos import YolosFeatureExtractor
												from .image_processing_yolos import YolosImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_yolos import (
												    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
												    YolosForObjectDetection,
												    YolosModel,
												    YolosPreTrainedModel,
												)


else:
						import sys

						lowerCAmelCase							:  int            =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






