nnet-concat.cc File Reference

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

Include dependency graph for nnet-concat.cc:

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

Function Documentation

main()

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

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

References Nnet::AppendNnet(), ParseOptions::GetArg(), rnnlm::i, KALDI_LOG, ParseOptions::NumArgs(), ParseOptions::PrintUsage(), ParseOptions::Read(), Nnet::Read(), ParseOptions::Register(), Output::Stream(), Input::Stream(), and Nnet::Write().

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

    const char *usage =
      "Concatenate Neural Networks (and possibly change binary/text format)\n"
      "Usage: nnet-concat [options] <nnet-in1> <...> <nnet-inN> <nnet-out>\n"
      "e.g.:\n"
      " nnet-concat --binary=false nnet.1 nnet.2 nnet.1.2\n";

    ParseOptions po(usage);

    bool binary_write = true;
    po.Register("binary", &binary_write, "Write output in binary mode");

    po.Read(argc, argv);

    if (po.NumArgs() < 3) {
      po.PrintUsage();
      exit(1);
    }

    std::string model_in_filename = po.GetArg(1);
    std::string model_in_filename_next;
    std::string model_out_filename = po.GetArg(po.NumArgs());

    // read the first nnet,
    KALDI_LOG << "Reading " << model_in_filename;
    Nnet nnet;
    {
      bool binary_read;
      Input ki(model_in_filename, &binary_read);
      nnet.Read(ki.Stream(), binary_read);
    }

    // read all the other nnets,
    for (int32 i = 2; i < po.NumArgs(); i++) {
      // read the nnet,
      model_in_filename_next = po.GetArg(i);
      KALDI_LOG << "Concatenating " << model_in_filename_next;
      Nnet nnet_next;
      {
        bool binary_read;
        Input ki(model_in_filename_next, &binary_read);
        nnet_next.Read(ki.Stream(), binary_read);
      }
      // append nnet_next to the network nnet,
      nnet.AppendNnet(nnet_next);
    }

    // finally write the nnet to disk,
    {
      Output ko(model_out_filename, binary_write);
      nnet.Write(ko.Stream(), binary_write);
    }

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