raw-nnet-info.cc

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// nnet2bin/raw-nnet-info.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 "hmm/transition-model.h"
#include "nnet2/nnet-nnet.h"

int main(int argc, char *argv[]) {
  try {
    using namespace kaldi;
    using namespace kaldi::nnet2;
    typedef kaldi::int32 int32;

    const char *usage =
        "Print human-readable information about the raw neural network\n"
        "to the standard output\n"
        "Usage:  raw-nnet-info [options] <nnet-in>\n"
        "e.g.:\n"
        " raw-nnet-info 1.nnet\n";
        
    ParseOptions po(usage);
    
    po.Read(argc, argv);

    if (po.NumArgs() != 1) {
      po.PrintUsage();
      exit(1);
    }

    std::string raw_nnet_rxfilename = po.GetArg(1);
    
    Nnet nnet;
    ReadKaldiObject(raw_nnet_rxfilename, &nnet);
    
    std::cout << nnet.Info();
    
    KALDI_LOG << "Printed info about " << raw_nnet_rxfilename;
  } catch(const std::exception &e) {
    std::cerr << e.what() << '\n';
    return -1;
  }
}