fengshen/models/roformer/__init__.py

# coding=utf-8
# Copyright 2021 The IDEA Authors. 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.file_utils import _LazyModule, is_torch_available


_import_structure = {
    "configuration_roformer": ["RoFormerConfig"],
    "tokenization_roformer": ["RoFormerTokenizer"],
}

if is_torch_available():
    _import_structure["modeling_roformer"] = [
        "RoFormerModel",
        "RoFormerForMaskedLM",
        "RoFormerForMultipleChoice",
        "RoFormerPreTrainedModel",
        "RoFormerForQuestionAnswering",
        "RoFormerForSequenceClassification",
        "RoFormerForTokenClassification",
    ]


if TYPE_CHECKING:
    from .configuration_roformer import RoFormerConfig
    from .tokenization_roformer import RoFormerTokenizer

    if is_torch_available():
        from .modeling_roformer import (
            RoFormerModel,
            RoFormerForMaskedLM,
            RoFormerForMultipleChoice,
            RoFormerPreTrainedModel,
            RoFormerForQuestionAnswering,
            RoFormerForSequenceClassification,
            RoFormerForTokenClassification,
        )

else:
    import sys

    sys.modules[__name__] = _LazyModule(
        __name__, globals()["__file__"], _import_structure)