# Copyright 2022 The OFA-Sys Team Authors and 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_chinese_clip": [ "CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP", "ChineseCLIPConfig", "ChineseCLIPOnnxConfig", "ChineseCLIPTextConfig", "ChineseCLIPVisionConfig", ], "processing_chinese_clip": ["ChineseCLIPProcessor"], } try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["feature_extraction_chinese_clip"] = ["ChineseCLIPFeatureExtractor"] _import_structure["image_processing_chinese_clip"] = ["ChineseCLIPImageProcessor"] try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_chinese_clip"] = [ "CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST", "ChineseCLIPModel", "ChineseCLIPPreTrainedModel", "ChineseCLIPTextModel", "ChineseCLIPVisionModel", ] if TYPE_CHECKING: from .configuration_chinese_clip import ( CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, ChineseCLIPConfig, ChineseCLIPOnnxConfig, ChineseCLIPTextConfig, ChineseCLIPVisionConfig, ) from .processing_chinese_clip import ChineseCLIPProcessor try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .feature_extraction_chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_chinese_clip import ( CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST, ChineseCLIPModel, ChineseCLIPPreTrainedModel, ChineseCLIPTextModel, ChineseCLIPVisionModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)