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src/nnetbin/transf-to-nnet.cc 2.26 KB
8dcb6dfcb   Yannick Estève   first commit
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  // 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>
  "
          "Usage:  transf-to-nnet [options] <transf-in> <nnet-out>
  "
          "e.g.:
  "
          " transf-to-nnet --binary=false transf.mat nnet.mdl
  ";
  
      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;
    }
  }