# OpenKiwi: Open-Source Machine Translation Quality Estimation
# Copyright (C) 2019 Unbabel <openkiwi@unbabel.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
import logging
from kiwi.cli.better_argparse import PipelineParser
from kiwi.cli.models import linear, nuqe, predictor_estimator, quetch
from kiwi.lib import predict
logger = logging.getLogger(__name__)
[docs]def predict_opts(parser):
group = parser.add_argument_group("predicting")
group.add_argument(
"--batch-size",
type=int,
default=64,
help="Maximum batch size for predicting.",
)
[docs]def build_parser():
return PipelineParser(
name="predict",
model_parsers=[
nuqe.parser_for_pipeline("predict"),
predictor_estimator.parser_for_pipeline("predict"),
quetch.parser_for_pipeline("predict"),
linear.parser_for_pipeline("predict"),
],
options_fn=predict_opts,
)
[docs]def main(argv=None):
parser = build_parser()
options = parser.parse(args=argv)
# is this needed?
if options is None:
return
predict.predict_from_options(options)
if __name__ == "__main__": # pragma: no cover
main() # pragma: no cover