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src/nnet2bin/nnet-get-feature-transform-multi.cc 3.29 KB
8dcb6dfcb   Yannick Estève   first commit
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  // nnet2bin/nnet-get-feature-transform-multi.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/get-feature-transform.h"
  
  int main(int argc, char *argv[]) {
    using namespace kaldi;
    typedef kaldi::int32 int32;
    try {
      const char *usage =
          "Get feature-projection transform using stats obtained with acc-lda.
  "
          "The file <index-list> contains a series of line, each containing a list
  "
          "of integer indexes.  For each line we create a transform of the same type
  "
          "as nnet-get-feature-transform would produce, taking as input just the
  "
          "listed feature dimensions.  The output transform will be the concatenation
  "
          "of all these transforms.  The output-dim will be the number of integers in
  "
          "the file <index-list> (the individual transforms are not dimension-reducing).
  "
          "Do not set the --dim option."
          "Usage:  nnet-get-feature-transform-multi [options] <index-list> <lda-acc-1> <lda-acc-2> ... <lda-acc-n> <matrix-out>
  ";
  
      bool binary = true;
  
      FeatureTransformEstimateOptions opts;
      ParseOptions po(usage);
      po.Register("binary", &binary, "Write accumulators in binary mode.");
      opts.Register(&po);
      po.Read(argc, argv);
      
      if (po.NumArgs() < 2) {
        po.PrintUsage();
        exit(1);
      }
  
      FeatureTransformEstimateMulti fte;
      std::string index_list_rxfilename = po.GetArg(1);
      std::string projection_wxfilename = po.GetArg(po.NumArgs());
  
      std::vector<std::vector<int32> > indexes;
      {
        Input ki(index_list_rxfilename);
        std::string line;
        while (getline(ki.Stream(), line)) {
          std::vector<int32> this_indexes;
          if (!SplitStringToIntegers(line, " \t
  \r",
                                     true, &this_indexes) ||
              line.empty()) {
            KALDI_ERR << "Bad line in index-list file: line is " << line;
          }
          indexes.push_back(this_indexes);
        }
        if (indexes.empty())
          KALDI_ERR << "Empty index-list file "
                    << PrintableRxfilename(index_list_rxfilename);
      }
      
      for (int32 i = 2; i < po.NumArgs(); i++) {
        bool binary_in, add = true;
        Input ki(po.GetArg(i), &binary_in);
        fte.Read(ki.Stream(), binary_in, add);
      }
  
      Matrix<BaseFloat> mat;
      fte.Estimate(opts, indexes, &mat);
      WriteKaldiObject(mat, projection_wxfilename, binary);
  
      KALDI_LOG << "Wrote transform to "
                << PrintableWxfilename(projection_wxfilename);
      return 0;
    } catch(const std::exception &e) {
      std::cerr << e.what();
      return -1;
    }
  }