Lightstar/venv/Lib/site-packages/transformers/models/idefics/__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_tf_available,
    is_torch_available,
    is_vision_available,
)


_import_structure = {"configuration_idefics": ["IdeficsConfig"]}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["image_processing_idefics"] = ["IdeficsImageProcessor"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_idefics"] = [
        "IdeficsForVisionText2Text",
        "IdeficsModel",
        "IdeficsPreTrainedModel",
    ]
    _import_structure["processing_idefics"] = ["IdeficsProcessor"]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_tf_idefics"] = [
        "TFIdeficsForVisionText2Text",
        "TFIdeficsModel",
        "TFIdeficsPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_idefics import IdeficsConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .image_processing_idefics import IdeficsImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_idefics import (
            IdeficsForVisionText2Text,
            IdeficsModel,
            IdeficsPreTrainedModel,
        )
        from .processing_idefics import IdeficsProcessor

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_idefics import (
            TFIdeficsForVisionText2Text,
            TFIdeficsModel,
            TFIdeficsPreTrainedModel,
        )

else:
    import sys

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