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# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.
# Copyright 2021 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 ...file_utils import (
_LazyModule,
is_flax_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
_import_structure = {
"configuration_clip": ["CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP", "CLIPConfig", "CLIPTextConfig", "CLIPVisionConfig"],
"tokenization_clip": ["CLIPTokenizer"],
}
if is_tokenizers_available():
_import_structure["tokenization_clip_fast"] = ["CLIPTokenizerFast"]
if is_vision_available():
_import_structure["feature_extraction_clip"] = ["CLIPFeatureExtractor"]
_import_structure["processing_clip"] = ["CLIPProcessor"]
if is_torch_available():
_import_structure["modeling_clip"] = [
"CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
"CLIPModel",
"CLIPPreTrainedModel",
"CLIPTextModel",
"CLIPVisionModel",
]
if is_flax_available():
_import_structure["modeling_flax_clip"] = [
"FlaxCLIPModel",
"FlaxCLIPPreTrainedModel",
"FlaxCLIPTextModel",
"FlaxCLIPTextPreTrainedModel",
"FlaxCLIPVisionModel",
"FlaxCLIPVisionPreTrainedModel",
]
if TYPE_CHECKING:
from .configuration_clip import CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, CLIPConfig, CLIPTextConfig, CLIPVisionConfig
from .tokenization_clip import CLIPTokenizer
if is_tokenizers_available():
from .tokenization_clip_fast import CLIPTokenizerFast
if is_vision_available():
from .feature_extraction_clip import CLIPFeatureExtractor
from .processing_clip import CLIPProcessor
if is_torch_available():
from .modeling_clip import (
CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
CLIPModel,
CLIPPreTrainedModel,
CLIPTextModel,
CLIPVisionModel,
)
if is_flax_available():
from .modeling_flax_clip import (
FlaxCLIPModel,
FlaxCLIPPreTrainedModel,
FlaxCLIPTextModel,
FlaxCLIPTextPreTrainedModel,
FlaxCLIPVisionModel,
FlaxCLIPVisionPreTrainedModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
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