




from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE     : Optional[int]      ={
    """configuration_big_bird""": ["""BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BigBirdConfig""", """BigBirdOnnxConfig"""],
}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __SCREAMING_SNAKE_CASE     : str      =["""BigBirdTokenizer"""]

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __SCREAMING_SNAKE_CASE     : Dict      =["""BigBirdTokenizerFast"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __SCREAMING_SNAKE_CASE     : Union[str, Any]      =[
          """BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """BigBirdForCausalLM""",
          """BigBirdForMaskedLM""",
          """BigBirdForMultipleChoice""",
          """BigBirdForPreTraining""",
          """BigBirdForQuestionAnswering""",
          """BigBirdForSequenceClassification""",
          """BigBirdForTokenClassification""",
          """BigBirdLayer""",
          """BigBirdModel""",
          """BigBirdPreTrainedModel""",
          """load_tf_weights_in_big_bird""",
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __SCREAMING_SNAKE_CASE     : Dict      =[
          """FlaxBigBirdForCausalLM""",
          """FlaxBigBirdForMaskedLM""",
          """FlaxBigBirdForMultipleChoice""",
          """FlaxBigBirdForPreTraining""",
          """FlaxBigBirdForQuestionAnswering""",
          """FlaxBigBirdForSequenceClassification""",
          """FlaxBigBirdForTokenClassification""",
          """FlaxBigBirdModel""",
          """FlaxBigBirdPreTrainedModel""",
      ]

if TYPE_CHECKING:
      from .configuration_big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig, BigBirdOnnxConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_big_bird import BigBirdTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_big_bird_fast import BigBirdTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_big_bird import (
                BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
                BigBirdForCausalLM,
                BigBirdForMaskedLM,
                BigBirdForMultipleChoice,
                BigBirdForPreTraining,
                BigBirdForQuestionAnswering,
                BigBirdForSequenceClassification,
                BigBirdForTokenClassification,
                BigBirdLayer,
                BigBirdModel,
                BigBirdPreTrainedModel,
                load_tf_weights_in_big_bird,
            )

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_big_bird import (
                FlaxBigBirdForCausalLM,
                FlaxBigBirdForMaskedLM,
                FlaxBigBirdForMultipleChoice,
                FlaxBigBirdForPreTraining,
                FlaxBigBirdForQuestionAnswering,
                FlaxBigBirdForSequenceClassification,
                FlaxBigBirdForTokenClassification,
                FlaxBigBirdModel,
                FlaxBigBirdPreTrainedModel,
            )

else:
      import sys

      __SCREAMING_SNAKE_CASE     : List[str]      =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
from typing import TYPE_CHECKING

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


lowerCAmelCase__  	=      {
    "configuration_imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig", "ImageGPTOnnxConfig"]
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__  	=      ["ImageGPTFeatureExtractor"]
						lowerCAmelCase__  	=      ["ImageGPTImageProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__  	=      [
						    "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "ImageGPTForCausalImageModeling",
						    "ImageGPTForImageClassification",
						    "ImageGPTModel",
						    "ImageGPTPreTrainedModel",
						    "load_tf_weights_in_imagegpt",
						]


if TYPE_CHECKING:
						from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
												from .image_processing_imagegpt import ImageGPTImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_imagegpt import (
												    IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ImageGPTForCausalImageModeling,
												    ImageGPTForImageClassification,
												    ImageGPTModel,
												    ImageGPTPreTrainedModel,
												    load_tf_weights_in_imagegpt,
												)

else:
						import sys

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




