
import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

UpperCAmelCase__				:  Optional[int]       					=				[(1,)]



def       _lowercase					(      )	->     Tuple:
			UpperCamelCase__    :		List[str]     =				bool(os.getenv('RUN_SLOW'				,    0 ) )
			if run_slow:
						assert True
			else:
						assert False, "should have been skipped"



def       _lowercase					(      )	->     str:
			UpperCamelCase__    :		List[Any]     =				bool(os.getenv('RUN_SLOW'				,    0 ) )
			if run_slow and torch_device == "cuda":
						assert True
			else:
						assert False, "should have been skipped"



@require_torch
class 			UpperCamelCase_			(						unittest.TestCase   ):




							'''simple docstring'''

							@slow
							@require_torch_gpu
							def        lowerCAmelCase__ (				self) ->	Any:
										check_slow_torch_cuda()
							@require_torch_gpu
							@slow
							def        lowerCAmelCase__ (				self) ->	Dict:
										check_slow_torch_cuda()






							@parameterized.expand(UpperCamelCase)
							@slow
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase=None) ->	int:
										check_slow()



@slow
@require_torch_gpu
def       _lowercase					(      )	->     Any:
			check_slow_torch_cuda()



@require_torch_gpu
@slow
def       _lowercase					(      )	->     Optional[int]:
			check_slow_torch_cuda()



@slow
@pytest.mark.parametrize('param'				,    [1] )
def       _lowercase					(      __SCREAMING_SNAKE_CASE )	->     List[str]:
			check_slow()



@pytest.mark.parametrize('param'				,    [1] )
@slow
def       _lowercase					(      __SCREAMING_SNAKE_CASE )	->     Union[str, Any]:
			check_slow()





from typing import TYPE_CHECKING

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


UpperCAmelCase__				:  str       					=				{
    '''configuration_mobilevitv2''': [
        '''MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileViTV2Config''',
        '''MobileViTV2OnnxConfig''',
    ],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__				:  List[Any]       					=				[
							    '''MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''MobileViTV2ForImageClassification''',
							    '''MobileViTV2ForSemanticSegmentation''',
							    '''MobileViTV2Model''',
							    '''MobileViTV2PreTrainedModel''',
							]

if TYPE_CHECKING:
							from .configuration_mobilevitva import (
							    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    MobileViTVaConfig,
							    MobileViTVaOnnxConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mobilevitva import (
														    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MobileViTVaForImageClassification,
														    MobileViTVaForSemanticSegmentation,
														    MobileViTVaModel,
														    MobileViTVaPreTrainedModel,
														)

else:
							import sys

							UpperCAmelCase__				:  List[str]       					=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



