NMTKD / translation /OpenNMT-py /onmt /bin /translate_dynamic.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from onmt.utils.logging import init_logger
from onmt.translate.translator import build_translator
from onmt.inputters.text_dataset import InferenceDataReader
from onmt.transforms import get_transforms_cls, make_transforms, TransformPipe
import onmt.opts as opts
from onmt.utils.parse import ArgumentParser
def translate(opt):
ArgumentParser.validate_translate_opts(opt)
ArgumentParser._get_all_transform_translate(opt)
ArgumentParser._validate_transforms_opts(opt)
ArgumentParser.validate_translate_opts_dynamic(opt)
logger = init_logger(opt.log_file)
translator = build_translator(opt, logger=logger, report_score=True)
data_reader = InferenceDataReader(opt.src, opt.tgt, opt.src_feats)
# Build transforms
transforms_cls = get_transforms_cls(opt._all_transform)
transforms = make_transforms(opt, transforms_cls, translator.fields)
data_transform = [
transforms[name] for name in opt.transforms if name in transforms
]
transform = TransformPipe.build_from(data_transform)
for i, (src_shard, tgt_shard, feats_shard) in enumerate(data_reader):
logger.info("Translating shard %d." % i)
translator.translate_dynamic(
src=src_shard,
transform=transform,
src_feats=feats_shard,
tgt=tgt_shard,
batch_size=opt.batch_size,
batch_type=opt.batch_type,
attn_debug=opt.attn_debug,
align_debug=opt.align_debug
)
def _get_parser():
parser = ArgumentParser(description='translate_dynamic.py')
opts.config_opts(parser)
opts.translate_opts(parser, dynamic=True)
return parser
def main():
parser = _get_parser()
opt = parser.parse_args()
translate(opt)
if __name__ == "__main__":
main()