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