# Copyright 2024 BAAI and the HuggingFace Inc. 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 transformers.utils import ( OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available, ) _import_structure = {"configuration_emu3visionvq": ["Emu3VisionVQConfig"]} try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_emu3visionvq"] = [ "Emu3VisionVQModel", "Emu3VisionVQPretrainedModel", ] try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["image_processing_emu3visionvq"] = ["Emu3VisionVQImageProcessor"] if TYPE_CHECKING: from .configuration_emu3visionvq import Emu3VisionVQConfig try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_emu3visionvq import ( Emu3VisionVQModel, Emu3VisionVQPretrainedModel, ) try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .image_processing_emu3visionvq import Emu3VisionVQImageProcessor else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)