






from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__		:       str   							=							{
    """auto_factory""": ["""get_values"""],
    """configuration_auto""": ["""ALL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CONFIG_MAPPING""", """MODEL_NAMES_MAPPING""", """AutoConfig"""],
    """feature_extraction_auto""": ["""FEATURE_EXTRACTOR_MAPPING""", """AutoFeatureExtractor"""],
    """image_processing_auto""": ["""IMAGE_PROCESSOR_MAPPING""", """AutoImageProcessor"""],
    """processing_auto""": ["""PROCESSOR_MAPPING""", """AutoProcessor"""],
    """tokenization_auto""": ["""TOKENIZER_MAPPING""", """AutoTokenizer"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE__		:       List[Any]   							=							[
          """MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING""",
          """MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING""",
          """MODEL_FOR_AUDIO_XVECTOR_MAPPING""",
          """MODEL_FOR_BACKBONE_MAPPING""",
          """MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING""",
          """MODEL_FOR_CAUSAL_LM_MAPPING""",
          """MODEL_FOR_CTC_MAPPING""",
          """MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING""",
          """MODEL_FOR_DEPTH_ESTIMATION_MAPPING""",
          """MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING""",
          """MODEL_FOR_IMAGE_SEGMENTATION_MAPPING""",
          """MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING""",
          """MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING""",
          """MODEL_FOR_MASKED_LM_MAPPING""",
          """MODEL_FOR_MASK_GENERATION_MAPPING""",
          """MODEL_FOR_MULTIPLE_CHOICE_MAPPING""",
          """MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING""",
          """MODEL_FOR_OBJECT_DETECTION_MAPPING""",
          """MODEL_FOR_PRETRAINING_MAPPING""",
          """MODEL_FOR_QUESTION_ANSWERING_MAPPING""",
          """MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING""",
          """MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING""",
          """MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING""",
          """MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING""",
          """MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING""",
          """MODEL_FOR_TEXT_ENCODING_MAPPING""",
          """MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING""",
          """MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING""",
          """MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING""",
          """MODEL_FOR_VISION_2_SEQ_MAPPING""",
          """MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING""",
          """MODEL_MAPPING""",
          """MODEL_WITH_LM_HEAD_MAPPING""",
          """MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING""",
          """MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING""",
          """AutoModel""",
          """AutoBackbone""",
          """AutoModelForAudioClassification""",
          """AutoModelForAudioFrameClassification""",
          """AutoModelForAudioXVector""",
          """AutoModelForCausalLM""",
          """AutoModelForCTC""",
          """AutoModelForDepthEstimation""",
          """AutoModelForImageClassification""",
          """AutoModelForImageSegmentation""",
          """AutoModelForInstanceSegmentation""",
          """AutoModelForMaskGeneration""",
          """AutoModelForTextEncoding""",
          """AutoModelForMaskedImageModeling""",
          """AutoModelForMaskedLM""",
          """AutoModelForMultipleChoice""",
          """AutoModelForNextSentencePrediction""",
          """AutoModelForObjectDetection""",
          """AutoModelForPreTraining""",
          """AutoModelForQuestionAnswering""",
          """AutoModelForSemanticSegmentation""",
          """AutoModelForSeq2SeqLM""",
          """AutoModelForSequenceClassification""",
          """AutoModelForSpeechSeq2Seq""",
          """AutoModelForTableQuestionAnswering""",
          """AutoModelForTokenClassification""",
          """AutoModelForUniversalSegmentation""",
          """AutoModelForVideoClassification""",
          """AutoModelForVision2Seq""",
          """AutoModelForVisualQuestionAnswering""",
          """AutoModelForDocumentQuestionAnswering""",
          """AutoModelWithLMHead""",
          """AutoModelForZeroShotImageClassification""",
          """AutoModelForZeroShotObjectDetection""",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE__		:       str   							=							[
          """TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING""",
          """TF_MODEL_FOR_CAUSAL_LM_MAPPING""",
          """TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING""",
          """TF_MODEL_FOR_MASK_GENERATION_MAPPING""",
          """TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING""",
          """TF_MODEL_FOR_MASKED_LM_MAPPING""",
          """TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING""",
          """TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING""",
          """TF_MODEL_FOR_PRETRAINING_MAPPING""",
          """TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING""",
          """TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING""",
          """TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING""",
          """TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING""",
          """TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING""",
          """TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING""",
          """TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING""",
          """TF_MODEL_FOR_TEXT_ENCODING_MAPPING""",
          """TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING""",
          """TF_MODEL_FOR_VISION_2_SEQ_MAPPING""",
          """TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING""",
          """TF_MODEL_MAPPING""",
          """TF_MODEL_WITH_LM_HEAD_MAPPING""",
          """TFAutoModel""",
          """TFAutoModelForAudioClassification""",
          """TFAutoModelForCausalLM""",
          """TFAutoModelForImageClassification""",
          """TFAutoModelForMaskedImageModeling""",
          """TFAutoModelForMaskedLM""",
          """TFAutoModelForMaskGeneration""",
          """TFAutoModelForMultipleChoice""",
          """TFAutoModelForNextSentencePrediction""",
          """TFAutoModelForPreTraining""",
          """TFAutoModelForDocumentQuestionAnswering""",
          """TFAutoModelForQuestionAnswering""",
          """TFAutoModelForSemanticSegmentation""",
          """TFAutoModelForSeq2SeqLM""",
          """TFAutoModelForSequenceClassification""",
          """TFAutoModelForSpeechSeq2Seq""",
          """TFAutoModelForTableQuestionAnswering""",
          """TFAutoModelForTextEncoding""",
          """TFAutoModelForTokenClassification""",
          """TFAutoModelForVision2Seq""",
          """TFAutoModelForZeroShotImageClassification""",
          """TFAutoModelWithLMHead""",
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE__		:       Optional[Any]   							=							[
          """FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING""",
          """FLAX_MODEL_FOR_CAUSAL_LM_MAPPING""",
          """FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING""",
          """FLAX_MODEL_FOR_MASKED_LM_MAPPING""",
          """FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING""",
          """FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING""",
          """FLAX_MODEL_FOR_PRETRAINING_MAPPING""",
          """FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING""",
          """FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING""",
          """FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING""",
          """FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING""",
          """FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING""",
          """FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING""",
          """FLAX_MODEL_MAPPING""",
          """FlaxAutoModel""",
          """FlaxAutoModelForCausalLM""",
          """FlaxAutoModelForImageClassification""",
          """FlaxAutoModelForMaskedLM""",
          """FlaxAutoModelForMultipleChoice""",
          """FlaxAutoModelForNextSentencePrediction""",
          """FlaxAutoModelForPreTraining""",
          """FlaxAutoModelForQuestionAnswering""",
          """FlaxAutoModelForSeq2SeqLM""",
          """FlaxAutoModelForSequenceClassification""",
          """FlaxAutoModelForSpeechSeq2Seq""",
          """FlaxAutoModelForTokenClassification""",
          """FlaxAutoModelForVision2Seq""",
      ]


if TYPE_CHECKING:
      from .auto_factory import get_values
      from .configuration_auto import ALL_PRETRAINED_CONFIG_ARCHIVE_MAP, CONFIG_MAPPING, MODEL_NAMES_MAPPING, AutoConfig
      from .feature_extraction_auto import FEATURE_EXTRACTOR_MAPPING, AutoFeatureExtractor
      from .image_processing_auto import IMAGE_PROCESSOR_MAPPING, AutoImageProcessor
      from .processing_auto import PROCESSOR_MAPPING, AutoProcessor
      from .tokenization_auto import TOKENIZER_MAPPING, AutoTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_auto import (
                MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
                MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING,
                MODEL_FOR_AUDIO_XVECTOR_MAPPING,
                MODEL_FOR_BACKBONE_MAPPING,
                MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING,
                MODEL_FOR_CAUSAL_LM_MAPPING,
                MODEL_FOR_CTC_MAPPING,
                MODEL_FOR_DEPTH_ESTIMATION_MAPPING,
                MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
                MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
                MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
                MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
                MODEL_FOR_MASK_GENERATION_MAPPING,
                MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
                MODEL_FOR_MASKED_LM_MAPPING,
                MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
                MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
                MODEL_FOR_OBJECT_DETECTION_MAPPING,
                MODEL_FOR_PRETRAINING_MAPPING,
                MODEL_FOR_QUESTION_ANSWERING_MAPPING,
                MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
                MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
                MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
                MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
                MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
                MODEL_FOR_TEXT_ENCODING_MAPPING,
                MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
                MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING,
                MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING,
                MODEL_FOR_VISION_2_SEQ_MAPPING,
                MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING,
                MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
                MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING,
                MODEL_MAPPING,
                MODEL_WITH_LM_HEAD_MAPPING,
                AutoBackbone,
                AutoModel,
                AutoModelForAudioClassification,
                AutoModelForAudioFrameClassification,
                AutoModelForAudioXVector,
                AutoModelForCausalLM,
                AutoModelForCTC,
                AutoModelForDepthEstimation,
                AutoModelForDocumentQuestionAnswering,
                AutoModelForImageClassification,
                AutoModelForImageSegmentation,
                AutoModelForInstanceSegmentation,
                AutoModelForMaskedImageModeling,
                AutoModelForMaskedLM,
                AutoModelForMaskGeneration,
                AutoModelForMultipleChoice,
                AutoModelForNextSentencePrediction,
                AutoModelForObjectDetection,
                AutoModelForPreTraining,
                AutoModelForQuestionAnswering,
                AutoModelForSemanticSegmentation,
                AutoModelForSeqaSeqLM,
                AutoModelForSequenceClassification,
                AutoModelForSpeechSeqaSeq,
                AutoModelForTableQuestionAnswering,
                AutoModelForTextEncoding,
                AutoModelForTokenClassification,
                AutoModelForUniversalSegmentation,
                AutoModelForVideoClassification,
                AutoModelForVisionaSeq,
                AutoModelForVisualQuestionAnswering,
                AutoModelForZeroShotImageClassification,
                AutoModelForZeroShotObjectDetection,
                AutoModelWithLMHead,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_auto import (
                TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
                TF_MODEL_FOR_CAUSAL_LM_MAPPING,
                TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
                TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
                TF_MODEL_FOR_MASK_GENERATION_MAPPING,
                TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
                TF_MODEL_FOR_MASKED_LM_MAPPING,
                TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
                TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
                TF_MODEL_FOR_PRETRAINING_MAPPING,
                TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
                TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
                TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
                TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
                TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
                TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
                TF_MODEL_FOR_TEXT_ENCODING_MAPPING,
                TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
                TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
                TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
                TF_MODEL_MAPPING,
                TF_MODEL_WITH_LM_HEAD_MAPPING,
                TFAutoModel,
                TFAutoModelForAudioClassification,
                TFAutoModelForCausalLM,
                TFAutoModelForDocumentQuestionAnswering,
                TFAutoModelForImageClassification,
                TFAutoModelForMaskedImageModeling,
                TFAutoModelForMaskedLM,
                TFAutoModelForMaskGeneration,
                TFAutoModelForMultipleChoice,
                TFAutoModelForNextSentencePrediction,
                TFAutoModelForPreTraining,
                TFAutoModelForQuestionAnswering,
                TFAutoModelForSemanticSegmentation,
                TFAutoModelForSeqaSeqLM,
                TFAutoModelForSequenceClassification,
                TFAutoModelForSpeechSeqaSeq,
                TFAutoModelForTableQuestionAnswering,
                TFAutoModelForTextEncoding,
                TFAutoModelForTokenClassification,
                TFAutoModelForVisionaSeq,
                TFAutoModelForZeroShotImageClassification,
                TFAutoModelWithLMHead,
            )

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_auto import (
                FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
                FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,
                FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
                FLAX_MODEL_FOR_MASKED_LM_MAPPING,
                FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
                FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
                FLAX_MODEL_FOR_PRETRAINING_MAPPING,
                FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
                FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
                FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
                FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
                FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
                FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING,
                FLAX_MODEL_MAPPING,
                FlaxAutoModel,
                FlaxAutoModelForCausalLM,
                FlaxAutoModelForImageClassification,
                FlaxAutoModelForMaskedLM,
                FlaxAutoModelForMultipleChoice,
                FlaxAutoModelForNextSentencePrediction,
                FlaxAutoModelForPreTraining,
                FlaxAutoModelForQuestionAnswering,
                FlaxAutoModelForSeqaSeqLM,
                FlaxAutoModelForSequenceClassification,
                FlaxAutoModelForSpeechSeqaSeq,
                FlaxAutoModelForTokenClassification,
                FlaxAutoModelForVisionaSeq,
            )

else:
      import sys

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














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__		:       Any   							=							{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE__		:       str   							=							[
          """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """DinatForImageClassification""",
          """DinatModel""",
          """DinatPreTrainedModel""",
          """DinatBackbone""",
      ]

if TYPE_CHECKING:
      from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_dinat import (
                DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                DinatBackbone,
                DinatForImageClassification,
                DinatModel,
                DinatPreTrainedModel,
            )

else:
      import sys

      SCREAMING_SNAKE_CASE__		:       Dict   							=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






