Viewing File: /home/ubuntu/combine_ai/combine/lib/python3.10/site-packages/transformers/models/swinv2/__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


_import_structure = {
    "configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_swinv2"] = [
        "SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST",
        "Swinv2ForImageClassification",
        "Swinv2ForMaskedImageModeling",
        "Swinv2Model",
        "Swinv2PreTrainedModel",
        "Swinv2Backbone",
    ]


if TYPE_CHECKING:
    from .configuration_swinv2 import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, Swinv2Config

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_swinv2 import (
            SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swinv2Backbone,
            Swinv2ForImageClassification,
            Swinv2ForMaskedImageModeling,
            Swinv2Model,
            Swinv2PreTrainedModel,
        )


else:
    import sys

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