# 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 ...utils import ( OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available, ) _import_structure = { "configuration_layoutlmv2": ["LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMv2Config"], "processing_layoutlmv2": ["LayoutLMv2Processor"], "tokenization_layoutlmv2": ["LayoutLMv2Tokenizer"], } try: if not is_tokenizers_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["tokenization_layoutlmv2_fast"] = ["LayoutLMv2TokenizerFast"] try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["feature_extraction_layoutlmv2"] = ["LayoutLMv2FeatureExtractor"] _import_structure["image_processing_layoutlmv2"] = ["LayoutLMv2ImageProcessor"] try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_layoutlmv2"] = [ "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST", "LayoutLMv2ForQuestionAnswering", "LayoutLMv2ForSequenceClassification", "LayoutLMv2ForTokenClassification", "LayoutLMv2Layer", "LayoutLMv2Model", "LayoutLMv2PreTrainedModel", ] if TYPE_CHECKING: from .configuration_layoutlmv2 import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMv2Config from .processing_layoutlmv2 import LayoutLMv2Processor from .tokenization_layoutlmv2 import LayoutLMv2Tokenizer try: if not is_tokenizers_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .tokenization_layoutlmv2_fast import LayoutLMv2TokenizerFast try: if not is_vision_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .feature_extraction_layoutlmv2 import LayoutLMv2FeatureExtractor, LayoutLMv2ImageProcessor try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_layoutlmv2 import ( LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST, LayoutLMv2ForQuestionAnswering, LayoutLMv2ForSequenceClassification, LayoutLMv2ForTokenClassification, LayoutLMv2Layer, LayoutLMv2Model, LayoutLMv2PreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)