Source code for cam.sgnmt.decoding.predlimitbeam

# -*- coding: utf-8 -*-
# coding=utf-8
# Copyright 2019 The SGNMT Authors.
#
# 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.

"""Implementation of beam search with explicit limits on culmulative
predictor scores at each node expansion.
"""

from cam.sgnmt import utils
from cam.sgnmt.decoding.beam import BeamDecoder
import logging


[docs]class PredLimitBeamDecoder(BeamDecoder): """Beam search variant with explicit limits on the culmulative predictor scores at each node expansion. """ def __init__(self, decoder_args): """Creates a new beam decoder with culmulative predictor score limits. In addition to the constructor of `BeamDecoder`, the following values are fetched from `decoder_args`: pred_limits (string): Comma-separated list of predictor score limits. """ super(PredLimitBeamDecoder, self).__init__(decoder_args) self.pred_limits = [] for l in utils.split_comma(decoder_args.pred_limits): try: self.pred_limits.append(float(l)) except: self.pred_limits.append(utils.NEG_INF) logging.info("Cumulative predictor score limits: %s" % self.pred_limits) def _expand_hypo(self, hypo): n_preds = len(self.pred_limits) all_hypos = super(PredLimitBeamDecoder, self)._expand_hypo(hypo) next_hypos = [] all_accs = [0.0] * n_preds for hypo in sorted(all_hypos, key=lambda h: -h.score): valid = True for limit, acc, breakdown in zip(self.pred_limits, all_accs, hypo.score_breakdown[-1]): if acc + breakdown[0] < limit: valid = False break if valid: for i in range(n_preds): all_accs[i] += hypo.score_breakdown[-1][i][0] next_hypos.append(hypo) return next_hypos