



'''simple docstring'''




from typing import TYPE_CHECKING

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


UpperCamelCase__ :			Dict												=				{
    '''configuration_groupvit''': [
        '''GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''GroupViTConfig''',
        '''GroupViTOnnxConfig''',
        '''GroupViTTextConfig''',
        '''GroupViTVisionConfig''',
    ],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__ :			List[Any]												=				[
						    '''GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''GroupViTModel''',
						    '''GroupViTPreTrainedModel''',
						    '''GroupViTTextModel''',
						    '''GroupViTVisionModel''',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__ :			int												=				[
						    '''TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''TFGroupViTModel''',
						    '''TFGroupViTPreTrainedModel''',
						    '''TFGroupViTTextModel''',
						    '''TFGroupViTVisionModel''',
						]

if TYPE_CHECKING:
						from .configuration_groupvit import (
						    GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    GroupViTConfig,
						    GroupViTOnnxConfig,
						    GroupViTTextConfig,
						    GroupViTVisionConfig,
						)

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_groupvit import (
												    GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    GroupViTModel,
												    GroupViTPreTrainedModel,
												    GroupViTTextModel,
												    GroupViTVisionModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_groupvit import (
												    TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFGroupViTModel,
												    TFGroupViTPreTrainedModel,
												    TFGroupViTTextModel,
												    TFGroupViTVisionModel,
												)

else:
						import sys

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




'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__ :			Optional[int]												=				{'''configuration_wavlm''': ['''WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''WavLMConfig''']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__ :			Tuple												=				[
						    '''WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''WavLMForAudioFrameClassification''',
						    '''WavLMForCTC''',
						    '''WavLMForSequenceClassification''',
						    '''WavLMForXVector''',
						    '''WavLMModel''',
						    '''WavLMPreTrainedModel''',
						]

if TYPE_CHECKING:
						from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_wavlm import (
												    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
												    WavLMForAudioFrameClassification,
												    WavLMForCTC,
												    WavLMForSequenceClassification,
												    WavLMForXVector,
												    WavLMModel,
												    WavLMPreTrainedModel,
												)

else:
						import sys

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