// nnetbin/nnet-info.cc
  
  // Copyright 2013  Brno University of Technology (Author: Karel Vesely)
  
  // 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"
  
  int main(int argc, char *argv[]) {
    try {
      using namespace kaldi;
      using namespace kaldi::nnet1;
      typedef kaldi::int32 int32;
  
      const char *usage =
          "Print human-readable information about the neural network.
  "
          "(topology, various weight statistics, etc.) It prints to stdout.
  "
          "Usage:  nnet-info [options] <nnet-in>
  "
          "e.g.:
  "
          " nnet-info 1.nnet
  ";
  
      ParseOptions po(usage);
      po.Read(argc, argv);
  
      if (po.NumArgs() != 1) {
        po.PrintUsage();
        exit(1);
      }
  
      std::string nnet_rxfilename = po.GetArg(1);
  
      // load the network
      Nnet nnet;
      {
        bool binary_read;
        Input ki(nnet_rxfilename, &binary_read);
        nnet.Read(ki.Stream(), binary_read);
      }
  
      std::cout << nnet.Info();
  
      KALDI_LOG << "Printed info about " << nnet_rxfilename;
      return 0;
    } catch(const std::exception &e) {
      std::cerr << e.what();
      return -1;
    }
  }