forked from to-aoki/my-pytorch-bert
/
extract_bert_model.py
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/
extract_bert_model.py
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# Author Toshihiko Aoki
#
# 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.
"""Extract Bert Model."""
from mptb import Config
from mptb.pretrain_tasks import BertPretrainingTasks
from mptb.utils import load, save, get_device
def extract_model(
config_path='config/bert_base.json',
model_path="pretrain/pretran_on_the_way.pt",
output_path="pretrain/bert_only_model.pt",
only_bert=False
):
config = Config.from_json(config_path)
model = BertPretrainingTasks(config)
load(model, model_path, get_device())
if only_bert:
model = model.bert
save(model, output_path)
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description='Extract my-pytorch-bert model.', usage='%(prog)s [options]')
parser.add_argument('--config_path', help='JSON file path for defines networks.', nargs='?',
type=str, default='config/bert_base.json')
parser.add_argument('--model_path', help='my-pytorch-bert model path (include optimizer).', required=True,
type=str)
parser.add_argument('--only_bert', action='store_true',
help='Use bert only output.')
parser.add_argument('--output_path', help='Output model path.', required=True,
type=str)
args = parser.parse_args()
extract_model(args.config_path, args.model_path, args.output_path, args.only_bert)