Lightstar/venv/Lib/site-packages/transformers/models/levit/__init__.py

# 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_torch_available, is_vision_available


_import_structure = {"configuration_levit": ["LevitConfig", "LevitOnnxConfig"]}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["feature_extraction_levit"] = ["LevitFeatureExtractor"]
    _import_structure["image_processing_levit"] = ["LevitImageProcessor"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_levit"] = [
        "LevitForImageClassification",
        "LevitForImageClassificationWithTeacher",
        "LevitModel",
        "LevitPreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_levit import LevitConfig, LevitOnnxConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_levit import LevitFeatureExtractor
        from .image_processing_levit import LevitImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_levit import (
            LevitForImageClassification,
            LevitForImageClassificationWithTeacher,
            LevitModel,
            LevitPreTrainedModel,
        )
else:
    import sys

    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)