# 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_tokenizers_available, is_torch_available _import_structure = { "configuration_realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig"], "tokenization_realm": ["RealmTokenizer"], } try: if not is_tokenizers_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["tokenization_realm_fast"] = ["RealmTokenizerFast"] try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_realm"] = [ "REALM_PRETRAINED_MODEL_ARCHIVE_LIST", "RealmEmbedder", "RealmForOpenQA", "RealmKnowledgeAugEncoder", "RealmPreTrainedModel", "RealmReader", "RealmScorer", "load_tf_weights_in_realm", ] _import_structure["retrieval_realm"] = ["RealmRetriever"] if TYPE_CHECKING: from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig from .tokenization_realm import RealmTokenizer try: if not is_tokenizers_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .tokenization_realm import RealmTokenizerFast try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_realm import ( REALM_PRETRAINED_MODEL_ARCHIVE_LIST, RealmEmbedder, RealmForOpenQA, RealmKnowledgeAugEncoder, RealmPreTrainedModel, RealmReader, RealmScorer, load_tf_weights_in_realm, ) from .retrieval_realm import RealmRetriever else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)