trainscript.h

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// 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.
//
// Copyright 2017 and onwards Google, Inc.

#ifndef NLP_GRM2_BAUMWELCH_TRAINSCRIPT_H_
#define NLP_GRM2_BAUMWELCH_TRAINSCRIPT_H_

#include <tuple>

#include <fst/extensions/far/far-class.h>
#include <fst/extensions/far/far.h>
#include <fst/mutable-fst.h>
#include <fst/script/fst-class.h>
#include <baumwelch/train.h>

namespace fst {
namespace script {

using BaumWelchTrainArgs =
    std::tuple<FarReaderClass &, FarReaderClass &, MutableFstClass *, bool,
               const TrainOptions &>;

template <class Arc>
void Train(BaumWelchTrainArgs *args) {
  FarReader<Arc> &input = *std::get<0>(*args).GetFarReader<Arc>();
  FarReader<Arc> &output = *std::get<1>(*args).GetFarReader<Arc>();
  MutableFst<Arc> *model = std::get<2>(*args)->GetMutableFst<Arc>();
  Train(input, output, model, std::get<3>(*args), std::get<4>(*args));
}

void Train(FarReaderClass &input, FarReaderClass &output,
           MutableFstClass *model, bool normalize_ilabel = true,
           const TrainOptions &opts = TrainOptions());

}  // namespace script
}  // namespace fst

#endif  // NLP_GRM2_BAUMWELCH_TRAINSCRIPT_H_