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# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import functools
from fairseq.hub_utils import BPEHubInterface as bpe # noqa
from fairseq.hub_utils import TokenizerHubInterface as tokenizer # noqa
from fairseq.models import MODEL_REGISTRY
dependencies = [
'numpy',
'regex',
'requests',
'torch',
]
# torch.hub doesn't build Cython components, so if they are not found then try
# to build them here
try:
import fairseq.data.token_block_utils_fast
except (ImportError, ModuleNotFoundError):
try:
import cython
import os
from setuptools import sandbox
sandbox.run_setup(
os.path.join(os.path.dirname(__file__), 'setup.py'),
['build_ext', '--inplace'],
)
except (ImportError, ModuleNotFoundError):
print(
'Unable to build Cython components. Please make sure Cython is '
'installed if the torch.hub model you are loading depends on it.'
)
for _model_type, _cls in MODEL_REGISTRY.items():
for model_name in _cls.hub_models().keys():
globals()[model_name] = functools.partial(
_cls.from_pretrained,
model_name,
)
# to simplify the interface we only expose named models
# globals()[_model_type] = _cls.from_pretrained
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