
'''simple docstring'''

from typing import TYPE_CHECKING

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


UpperCamelCase_     			=       {"""configuration_levit""": ["""LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LevitConfig""", """LevitOnnxConfig"""]}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase_     			=       ["""LevitFeatureExtractor"""]
     UpperCamelCase_     			=       ["""LevitImageProcessor"""]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase_     			=       [
         """LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """LevitForImageClassification""",
         """LevitForImageClassificationWithTeacher""",
         """LevitModel""",
         """LevitPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig, LevitOnnxConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_levit import LevitFeatureExtractor
          from .image_processing_levit import LevitImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_levit import (
              LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              LevitForImageClassification,
              LevitForImageClassificationWithTeacher,
              LevitModel,
              LevitPreTrainedModel,
          )
else:
     import sys

     UpperCamelCase_     			=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCamelCase_     			=       {
    """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
    """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase_     			=       [
         """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """GPTSanJapaneseForConditionalGeneration""",
         """GPTSanJapaneseModel""",
         """GPTSanJapanesePreTrainedModel""",
     ]
     UpperCamelCase_     			=       [
         """GPTSanJapaneseTokenizer""",
     ]


if TYPE_CHECKING:
     from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
     from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_gptsan_japanese import (
              GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
              GPTSanJapaneseForConditionalGeneration,
              GPTSanJapaneseModel,
              GPTSanJapanesePreTrainedModel,
          )
          from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
     import sys

     UpperCamelCase_     			=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


