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# 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)
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