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__init__.py
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Mon, May 6, 20:23

__init__.py

# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.
# Copyright 2020 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 ...file_utils import (
_BaseLazyModule,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
_import_structure = {
"configuration_marian": ["MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarianConfig"],
}
if is_sentencepiece_available():
_import_structure["tokenization_marian"] = ["MarianTokenizer"]
if is_torch_available():
_import_structure["modeling_marian"] = [
"MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST",
"MarianModel",
"MarianMTModel",
"MarianPreTrainedModel",
"MarianForCausalLM",
]
if is_tf_available():
_import_structure["modeling_tf_marian"] = ["TFMarianMTModel", "TFMarianModel"]
if TYPE_CHECKING:
from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig
if is_sentencepiece_available():
from .tokenization_marian import MarianTokenizer
if is_torch_available():
from .modeling_marian import (
MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
MarianForCausalLM,
MarianModel,
MarianMTModel,
MarianPreTrainedModel,
)
if is_tf_available():
from .modeling_tf_marian import TFMarianModel, TFMarianMTModel
else:
import importlib
import os
import sys
class _LazyModule(_BaseLazyModule):
"""
Module class that surfaces all objects but only performs associated imports when the objects are requested.
"""
__file__ = globals()["__file__"]
__path__ = [os.path.dirname(__file__)]
def _get_module(self, module_name: str):
return importlib.import_module("." + module_name, self.__name__)
sys.modules[__name__] = _LazyModule(__name__, _import_structure)

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