# Copyright 2023 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_mobilevitv2": [ "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTV2Config", "MobileViTV2OnnxConfig", ], } try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_mobilevitv2"] = [ "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST", "MobileViTV2ForImageClassification", "MobileViTV2ForSemanticSegmentation", "MobileViTV2Model", "MobileViTV2PreTrainedModel", ] if TYPE_CHECKING: from .configuration_mobilevitv2 import ( MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTV2Config, MobileViTV2OnnxConfig, ) try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_mobilevitv2 import ( MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST, MobileViTV2ForImageClassification, MobileViTV2ForSemanticSegmentation, MobileViTV2Model, MobileViTV2PreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)