// fgmmbin/fgmm-global-info.cc
  
  // Copyright 2012-2013  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 "gmm/full-gmm.h"
  #include "hmm/transition-model.h"
  
  int main(int argc, char *argv[]) {
    try {
      using namespace kaldi;
      typedef kaldi::int32 int32;
  
      const char *usage =
          "Write to standard output various properties of full-covariance GMM model
  "
          "This is for a single mixture of Gaussians, e.g. as used for a UBM.
  "
          "Usage:  fgmm-global-info [options] <gmm>
  "
          "e.g.:
  "
          " fgmm-global-info 1.ubm
  ";
      
      ParseOptions po(usage);
      
      po.Read(argc, argv);
  
      if (po.NumArgs() != 1) {
        po.PrintUsage();
        exit(1);
      }
  
      std::string model_rxfilename = po.GetArg(1);
  
      FullGmm gmm;
      ReadKaldiObject(model_rxfilename, &gmm);
  
      std::cout << "number of gaussians " << gmm.NumGauss() << '
  ';
      std::cout << "feature dimension " << gmm.Dim() << '
  ';
      return 0;
    } catch(const std::exception &e) {
      std::cerr << e.what() << '
  ';
      return -1;
    }
  }