nnet-initialize.cc File Reference

#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "nnet/nnet-nnet.h"

Include dependency graph for nnet-initialize.cc:

Go to the source code of this file.

Functions
int	main (int argc, char *argv[])

Function Documentation

main()

int main	(	int	argc,
		char *	argv[]
	)

Definition at line 24 of file nnet-initialize.cc.

References ParseOptions::GetArg(), Nnet::Init(), KALDI_LOG, ParseOptions::NumArgs(), ParseOptions::PrintUsage(), ParseOptions::Read(), ParseOptions::Register(), kaldi::SetVerboseLevel(), Output::Stream(), and Nnet::Write().

                                 {
  try {
    using namespace kaldi;
    using namespace kaldi::nnet1;
    typedef kaldi::int32 int32;

    const char *usage =
      "Initialize Neural Network parameters according to a prototype (nnet1).\n"
      "Usage:  nnet-initialize [options] <nnet-prototype-in> <nnet-out>\n"
      "e.g.: nnet-initialize --binary=false nnet.proto nnet.init\n";

    SetVerboseLevel(1);  // be verbose by default,

    ParseOptions po(usage);
    bool binary_write = true;
    po.Register("binary", &binary_write, "Write output in binary mode");
    int32 seed = 777;
    po.Register("seed", &seed, "Seed for random number generator");

    po.Read(argc, argv);

    if (po.NumArgs() != 2) {
      po.PrintUsage();
      exit(1);
    }

    std::string nnet_config_in_filename = po.GetArg(1),
        nnet_out_filename = po.GetArg(2);

    std::srand(seed);

    // initialize the network
    Nnet nnet;
    nnet.Init(nnet_config_in_filename);

    // store the network
    Output ko(nnet_out_filename, binary_write);
    nnet.Write(ko.Stream(), binary_write);

    KALDI_LOG << "Written initialized model to " << nnet_out_filename;
    return 0;
  } catch(const std::exception &e) {
    std::cerr << e.what();
    return -1;
  }
}