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# Copyright 2022 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_tf_available, | |
is_torch_available, | |
is_vision_available, | |
) | |
_import_structure = { | |
"configuration_convnext": ["CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextConfig", "ConvNextOnnxConfig"] | |
} | |
try: | |
if not is_vision_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["feature_extraction_convnext"] = ["ConvNextFeatureExtractor"] | |
_import_structure["image_processing_convnext"] = ["ConvNextImageProcessor"] | |
try: | |
if not is_torch_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["modeling_convnext"] = [ | |
"CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST", | |
"ConvNextForImageClassification", | |
"ConvNextModel", | |
"ConvNextPreTrainedModel", | |
"ConvNextBackbone", | |
] | |
try: | |
if not is_tf_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
_import_structure["modeling_tf_convnext"] = [ | |
"TFConvNextForImageClassification", | |
"TFConvNextModel", | |
"TFConvNextPreTrainedModel", | |
] | |
if TYPE_CHECKING: | |
from .configuration_convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig, ConvNextOnnxConfig | |
try: | |
if not is_vision_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .feature_extraction_convnext import ConvNextFeatureExtractor | |
from .image_processing_convnext import ConvNextImageProcessor | |
try: | |
if not is_torch_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .modeling_convnext import ( | |
CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST, | |
ConvNextBackbone, | |
ConvNextForImageClassification, | |
ConvNextModel, | |
ConvNextPreTrainedModel, | |
) | |
try: | |
if not is_tf_available(): | |
raise OptionalDependencyNotAvailable() | |
except OptionalDependencyNotAvailable: | |
pass | |
else: | |
from .modeling_tf_convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel | |
else: | |
import sys | |
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure) | |