2020 the huggingface team licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache orglicenseslicense2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license 2020 the huggingface team licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache org licenses license 2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license
from typing import TYPE_CHECKING

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


_import_structure = {
    "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:
    _import_structure["modeling_auto"] = [
        "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_IMAGE_TO_IMAGE_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_TEXT_TO_WAVEFORM_MAPPING",
        "MODEL_FOR_TEXT_TO_SPECTROGRAM_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",
        "MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING",
        "MODEL_FOR_TIME_SERIES_REGRESSION_MAPPING",
        "AutoModel",
        "AutoBackbone",
        "AutoModelForAudioClassification",
        "AutoModelForAudioFrameClassification",
        "AutoModelForAudioXVector",
        "AutoModelForCausalLM",
        "AutoModelForCTC",
        "AutoModelForDepthEstimation",
        "AutoModelForImageClassification",
        "AutoModelForImageSegmentation",
        "AutoModelForImageToImage",
        "AutoModelForInstanceSegmentation",
        "AutoModelForMaskGeneration",
        "AutoModelForTextEncoding",
        "AutoModelForMaskedImageModeling",
        "AutoModelForMaskedLM",
        "AutoModelForMultipleChoice",
        "AutoModelForNextSentencePrediction",
        "AutoModelForObjectDetection",
        "AutoModelForPreTraining",
        "AutoModelForQuestionAnswering",
        "AutoModelForSemanticSegmentation",
        "AutoModelForSeq2SeqLM",
        "AutoModelForSequenceClassification",
        "AutoModelForSpeechSeq2Seq",
        "AutoModelForTableQuestionAnswering",
        "AutoModelForTextToSpectrogram",
        "AutoModelForTextToWaveform",
        "AutoModelForTokenClassification",
        "AutoModelForUniversalSegmentation",
        "AutoModelForVideoClassification",
        "AutoModelForVision2Seq",
        "AutoModelForVisualQuestionAnswering",
        "AutoModelForDocumentQuestionAnswering",
        "AutoModelWithLMHead",
        "AutoModelForZeroShotImageClassification",
        "AutoModelForZeroShotObjectDetection",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_tf_auto"] = [
        "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:
    _import_structure["modeling_flax_auto"] = [
        "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_IMAGE_TO_IMAGE_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_TEXT_TO_SPECTROGRAM_MAPPING,
            MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING,
            MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING,
            MODEL_FOR_TIME_SERIES_REGRESSION_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,
            AutoModelForImageToImage,
            AutoModelForInstanceSegmentation,
            AutoModelForMaskedImageModeling,
            AutoModelForMaskedLM,
            AutoModelForMaskGeneration,
            AutoModelForMultipleChoice,
            AutoModelForNextSentencePrediction,
            AutoModelForObjectDetection,
            AutoModelForPreTraining,
            AutoModelForQuestionAnswering,
            AutoModelForSemanticSegmentation,
            AutoModelForSeq2SeqLM,
            AutoModelForSequenceClassification,
            AutoModelForSpeechSeq2Seq,
            AutoModelForTableQuestionAnswering,
            AutoModelForTextEncoding,
            AutoModelForTextToSpectrogram,
            AutoModelForTextToWaveform,
            AutoModelForTokenClassification,
            AutoModelForUniversalSegmentation,
            AutoModelForVideoClassification,
            AutoModelForVision2Seq,
            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,
            TFAutoModelForSeq2SeqLM,
            TFAutoModelForSequenceClassification,
            TFAutoModelForSpeechSeq2Seq,
            TFAutoModelForTableQuestionAnswering,
            TFAutoModelForTextEncoding,
            TFAutoModelForTokenClassification,
            TFAutoModelForVision2Seq,
            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,
            FlaxAutoModelForSeq2SeqLM,
            FlaxAutoModelForSequenceClassification,
            FlaxAutoModelForSpeechSeq2Seq,
            FlaxAutoModelForTokenClassification,
            FlaxAutoModelForVision2Seq,
        )

else:
    import sys

    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)