nnet3-average.cc File Reference

#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "hmm/transition-model.h"
#include "nnet3/nnet-utils.h"

Include dependency graph for nnet3-average.cc:

Go to the source code of this file.

Namespaces
	kaldi
	This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference:

Functions
void	GetWeights (const std::string &weights_str, int32 num_inputs, std::vector< BaseFloat > *weights)
void	ReadModels (std::vector< std::pair< std::string, BaseFloat > > models_and_weights, nnet3::Nnet *output_nnet, int32 *success)
int	main (int argc, char *argv[])

Function Documentation

main()

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

Definition at line 79 of file nnet3-average.cc.

References kaldi::nnet3::AddNnet(), ParseOptions::GetArg(), kaldi::GetWeights(), rnnlm::j, KALDI_ERR, KALDI_LOG, ParseOptions::NumArgs(), ParseOptions::PrintUsage(), ParseOptions::Read(), kaldi::ReadModels(), ParseOptions::Register(), and kaldi::WriteKaldiObject().

                                 {
  try {
    using namespace kaldi;
    using namespace kaldi::nnet3;
    typedef kaldi::int32 int32;
    typedef kaldi::int64 int64;

    const char *usage =
        "This program averages the parameters over a number of 'raw' nnet3 neural nets.\n"
        "\n"
        "Usage:  nnet3-average [options] <model1> <model2> ... <modelN> <model-out>\n"
        "\n"
        "e.g.:\n"
        " nnet3-average 1.1.nnet 1.2.nnet 1.3.nnet 2.nnet\n";

    bool binary_write = true;
    int32 num_threads = -1;

    ParseOptions po(usage);
    po.Register("binary", &binary_write, "Write output in binary mode");
    std::string weights_str;
    po.Register("weights", &weights_str, "Colon-separated list of weights, one "
                "for each input model.  These will be normalized to sum to one.");
    po.Register("num-threads", &num_threads, "Number of threads to read the "
                "models (will be set automatically if not set.");

    po.Read(argc, argv);

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

    std::string
        first_nnet_rxfilename = po.GetArg(1),
        nnet_wxfilename = po.GetArg(po.NumArgs());

    int32 num_inputs = po.NumArgs() - 1;

    if (num_threads <= 0) {
      // Default logic for selecting the number of threads.
      if (num_inputs > 10) num_threads = 3;
      else if (num_inputs > 5) num_threads = 2;
      else num_threads = 1;
    }

    if (num_threads > 1 && num_threads * 2 > num_inputs) {
      num_threads = num_inputs / 2;
    }

    std::vector<BaseFloat> model_weights;
    GetWeights(weights_str, num_inputs, &model_weights);

    std::vector<Nnet> nnets(num_threads);
    std::vector<int32> return_statuses(num_threads);

    std::vector<std::thread*> threads(num_threads);

    for (int32 thread_id = 0; thread_id < num_threads; thread_id++) {
      std::vector<std::pair<std::string, BaseFloat> > this_models_and_weights;
      for (int32 j = 1 + thread_id; j < po.NumArgs(); j += num_threads) {
        this_models_and_weights.push_back(std::pair<std::string, BaseFloat>(
            po.GetArg(j), model_weights[j - 1]));
      }
      threads[thread_id] = new std::thread(ReadModels, this_models_and_weights,
                                           &(nnets[thread_id]),
                                           &(return_statuses[thread_id]));
    }

    bool success = true;
    for (int32 thread_id = 0; thread_id < num_threads; thread_id++) {
      threads[thread_id]->join();
      delete threads[thread_id];
      if (!return_statuses[thread_id])
        success = false;
      if (success && thread_id > 0)
        AddNnet(nnets[thread_id], 1.0, &(nnets[0]));
    }

    if (!success) {
      KALDI_ERR << "Error detected in a model-reading thread.";
    }

    WriteKaldiObject(nnets[0], nnet_wxfilename, binary_write);

    KALDI_LOG << "Averaged parameters of " << num_inputs
              << " neural nets, and wrote to " << nnet_wxfilename;
    return 0; // it will throw an exception if there are any problems.
  } catch(const std::exception &e) {
    std::cerr << e.what() << '\n';
    return -1;
  }
}