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from typing import TYPE_CHECKING |
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from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available |
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_import_structure = {"configuration_omnivore": ["OMNIVORE_PRETRAINED_CONFIG_ARCHIVE_MAP", "OmnivoreConfig"]} |
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try: |
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if not is_vision_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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_import_structure["feature_extraction_omnivore"] = ["OmnivoreFeatureExtractor"] |
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try: |
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if not is_torch_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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_import_structure["modeling_omnivore"] = [ |
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"OMNIVORE_PRETRAINED_MODEL_ARCHIVE_LIST", |
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"OmnivoreForJointClassification", |
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"OmnivoreModel", |
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"OmnivorePreTrainedModel", |
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] |
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if TYPE_CHECKING: |
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from .configuration_omnivore import OMNIVORE_PRETRAINED_CONFIG_ARCHIVE_MAP, OmnivoreConfig |
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try: |
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if not is_vision_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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from .feature_extraction_omnivore import OmnivoreFeatureExtractor |
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try: |
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if not is_torch_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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from .modeling_omnivore import ( |
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OMNIVORE_PRETRAINED_MODEL_ARCHIVE_LIST, |
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OmnivoreForClassification, |
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OmnivoreModel, |
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OmnivorePreTrainedModel, |
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) |
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else: |
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import sys |
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sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure) |
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