transf-to-nnet.cc

Go to the documentation of this file.

// nnetbin/transf-to-nnet.cc

// Copyright 2012  Brno University of Technology

// See ../../COPYING for clarification regarding multiple 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
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.

#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "nnet/nnet-nnet.h"
#include "nnet/nnet-linear-transform.h"

int main(int argc, char *argv[]) {
  try {
    using namespace kaldi;
    using namespace kaldi::nnet1;
    typedef kaldi::int32 int32;

    const char *usage =
        "Convert transformation matrix to <affine-transform>\n"
        "Usage:  transf-to-nnet [options] <transf-in> <nnet-out>\n"
        "e.g.:\n"
        " transf-to-nnet --binary=false transf.mat nnet.mdl\n";

    bool binary_write = false;

    ParseOptions po(usage);
    po.Register("binary", &binary_write, "Write output in binary mode");

    po.Read(argc, argv);

    if (po.NumArgs() != 2) {
      po.PrintUsage();
      exit(1);
    }

    std::string transform_rxfilename = po.GetArg(1),
        model_out_filename = po.GetArg(2);

    // read the matrix,
    Matrix<BaseFloat> transform;
    {
      bool binary_read;
      Input ki(transform_rxfilename, &binary_read);
      transform.Read(ki.Stream(), binary_read);
    }

    // wrapping as Nnet with <LinearTransform>,
    Nnet nnet;
    LinearTransform lin_tran(transform.NumCols(), transform.NumRows());
    lin_tran.SetLinearity(transform);
    nnet.AppendComponent(lin_tran);

    // write the nnet,
    {
      Output ko(model_out_filename, binary_write);
      nnet.Write(ko.Stream(), binary_write);
      KALDI_LOG << "Written transform in 'nnet1' model: " << model_out_filename;
    }
    return 0;
  } catch(const std::exception &e) {
    std::cerr << e.what();
    return -1;
  }
}