# 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_mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTConfig", "MobileViTOnnxConfig"],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["feature_extraction_mobilevit"] = ["MobileViTFeatureExtractor"]
    _import_structure["image_processing_mobilevit"] = ["MobileViTImageProcessor"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_mobilevit"] = [
        "MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "MobileViTForImageClassification",
        "MobileViTForSemanticSegmentation",
        "MobileViTModel",
        "MobileViTPreTrainedModel",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_tf_mobilevit"] = [
        "TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFMobileViTForImageClassification",
        "TFMobileViTForSemanticSegmentation",
        "TFMobileViTModel",
        "TFMobileViTPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig, MobileViTOnnxConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_mobilevit import MobileViTFeatureExtractor
        from .image_processing_mobilevit import MobileViTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mobilevit import (
            MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTForImageClassification,
            MobileViTForSemanticSegmentation,
            MobileViTModel,
            MobileViTPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_mobilevit import (
            TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFMobileViTForImageClassification,
            TFMobileViTForSemanticSegmentation,
            TFMobileViTModel,
            TFMobileViTPreTrainedModel,
        )


else:
    import sys

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