# Copyright 2022 Meta Platforms authors and 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_torch_available, is_vision_available _import_structure = { "configuration_flava": [ "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP", "FlavaConfig", "FlavaImageCodebookConfig", "FlavaImageConfig", "FlavaMultimodalConfig", "FlavaTextConfig", ], } try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["feature_extraction_flava"] = ["FlavaFeatureExtractor"] _import_structure["image_processing_flava"] = ["FlavaImageProcessor"] _import_structure["processing_flava"] = ["FlavaProcessor"] try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_flava"] = [ "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST", "FlavaForPreTraining", "FlavaImageCodebook", "FlavaImageModel", "FlavaModel", "FlavaMultimodalModel", "FlavaPreTrainedModel", "FlavaTextModel", ] if TYPE_CHECKING: from .configuration_flava import ( FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP, FlavaConfig, FlavaImageCodebookConfig, FlavaImageConfig, FlavaMultimodalConfig, FlavaTextConfig, ) try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .feature_extraction_flava import FlavaFeatureExtractor from .image_processing_flava import FlavaImageProcessor from .processing_flava import FlavaProcessor try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_flava import ( FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST, FlavaForPreTraining, FlavaImageCodebook, FlavaImageModel, FlavaModel, FlavaMultimodalModel, FlavaPreTrainedModel, FlavaTextModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)