// nnetbin/nnet-initialize.cc // Copyright 2014 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 = "Initialize Neural Network parameters according to a prototype (nnet1).\n" "Usage: nnet-initialize [options] \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; } }