# Copyright 2023 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 transformers.utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available _import_structure = { "configuration_husky": [ "HUSKY_PRETRAINED_CONFIG_ARCHIVE_MAP", "HuskyConfig", "HuskyQFormerConfig", "HuskyVisionConfig", ], "processing_husky": ["HuskyProcessor"], } try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_husky"] = [ "HUSKY_PRETRAINED_MODEL_ARCHIVE_LIST", "HuskyModel", "HuskyQFormerModel", "HuskyPreTrainedModel", "HuskyForConditionalGeneration", "HuskyVisionModel", ] if TYPE_CHECKING: from .configuration_husky import ( HUSKY_PRETRAINED_CONFIG_ARCHIVE_MAP, HuskyConfig, HuskyVisionConfig, HuskyQFormerConfig ) from .processing_husky import HuskyProcessor try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_husky import ( HUSKY_PRETRAINED_MODEL_ARCHIVE_LIST, HuskyForConditionalGeneration, HuskyModel, HuskyPreTrainedModel, HuskyQFormerModel, HuskyVisionModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)