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src/nnet2bin/raw-nnet-concat.cc 2.34 KB
8dcb6dfcb   Yannick Estève   first commit
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  // nnet2bin/raw-nnet-concat.cc
  
  // Copyright 2013  Johns Hopkins University (author:  Daniel Povey)
  
  // 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 "nnet2/am-nnet.h"
  #include "hmm/transition-model.h"
  #include "tree/context-dep.h"
  
  int main(int argc, char *argv[]) {
    try {
      using namespace kaldi;
      using namespace kaldi::nnet2;
      typedef kaldi::int32 int32;
  
      const char *usage =
          "Concatenate two 'raw' neural nets, e.g. as output by nnet-init or
  "
          "nnet-to-raw-nnet
  "
          "
  "
          "Usage:  raw-nnet-concat [options] <raw-nnet-in1> <raw-nnet-in2> <raw-nnet-out>
  "
          "e.g.:
  "
          " raw-nnet-concat nnet1 nnet2 nnet_concat
  ";
      
      bool binary_write = true;
      int32 srand_seed = 0;
      
      ParseOptions po(usage);
      po.Register("binary", &binary_write, "Write output in binary mode");
      
      po.Read(argc, argv);
      srand(srand_seed);
      
      if (po.NumArgs() != 3) {
        po.PrintUsage();
        exit(1);
      }
  
      std::string raw_nnet1_rxfilename = po.GetArg(1),
          raw_nnet2_rxfilename = po.GetArg(2),
          raw_nnet_wxfilename = po.GetArg(3);
      
      Nnet nnet1;
      ReadKaldiObject(raw_nnet1_rxfilename, &nnet1);
      Nnet nnet2;
      ReadKaldiObject(raw_nnet2_rxfilename, &nnet2);
  
      Nnet nnet_concat(nnet1, nnet2); // Constructor concatenates them.
  
      WriteKaldiObject(nnet_concat, raw_nnet_wxfilename, binary_write);
      
      KALDI_LOG << "Concatenated neural nets from "
                << raw_nnet1_rxfilename << " and " << raw_nnet2_rxfilename
                << " and wrote to " << raw_nnet_wxfilename;
      return 0;
    } catch(const std::exception &e) {
      std::cerr << e.what() << '
  ';
      return -1;
    }
  }