# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all. # 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 # rely on isort to merge the imports from ...utils import ( OptionalDependencyNotAvailable, _LazyModule, is_torch_available, ) _import_structure = { "configuration_convnextv2": [ "CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextV2Config", ] } try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_convnextv2"] = [ "CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST", "ConvNextV2ForImageClassification", "ConvNextV2Model", "ConvNextV2PreTrainedModel", "ConvNextV2Backbone", ] if TYPE_CHECKING: from .configuration_convnextv2 import ( CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextV2Config, ) try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_convnextv2 import ( CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST, ConvNextV2Backbone, ConvNextV2ForImageClassification, ConvNextV2Model, ConvNextV2PreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)