# Copyright 2022 The HuggingFace Team. All rights reserved. # # 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_tokenizers_available, is_torch_available, is_vision_available, ) _import_structure = { "configuration_owlvit": [ "OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "OwlViTConfig", "OwlViTOnnxConfig", "OwlViTTextConfig", "OwlViTVisionConfig", ], "processing_owlvit": ["OwlViTProcessor"], } try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["feature_extraction_owlvit"] = ["OwlViTFeatureExtractor"] _import_structure["image_processing_owlvit"] = ["OwlViTImageProcessor"] try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_owlvit"] = [ "OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST", "OwlViTModel", "OwlViTPreTrainedModel", "OwlViTTextModel", "OwlViTVisionModel", "OwlViTForObjectDetection", ] if TYPE_CHECKING: from .configuration_owlvit import ( OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, OwlViTConfig, OwlViTOnnxConfig, OwlViTTextConfig, OwlViTVisionConfig, ) from .processing_owlvit import OwlViTProcessor try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .feature_extraction_owlvit import OwlViTFeatureExtractor from .image_processing_owlvit import OwlViTImageProcessor try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_owlvit import ( OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST, OwlViTForObjectDetection, OwlViTModel, OwlViTPreTrainedModel, OwlViTTextModel, OwlViTVisionModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)