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src/fgmmbin/fgmm-global-sum-accs.cc
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// fgmmbin/fgmm-global-sum-accs.cc // Copyright 2009-2011 Saarland University; Microsoft Corporation // 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 "util/common-utils.h" #include "gmm/full-gmm.h" #include "gmm/mle-full-gmm.h" int main(int argc, char *argv[]) { try { typedef kaldi::int32 int32; const char *usage = "Sum multiple accumulated stats files for full-covariance GMM " "training. " "Usage: fgmm-global-sum-accs [options] stats-out stats-in1 stats-in2 ... "; bool binary = true; kaldi::ParseOptions po(usage); po.Register("binary", &binary, "Write output in binary mode"); po.Read(argc, argv); if (po.NumArgs() < 2) { po.PrintUsage(); exit(1); } std::string stats_out_filename = po.GetArg(1); kaldi::AccumFullGmm gmm_accs; for (int i = 2, max = po.NumArgs(); i <= max; i++) { std::string stats_in_filename = po.GetArg(i); bool binary_read; kaldi::Input ki(stats_in_filename, &binary_read); gmm_accs.Read(ki.Stream(), binary_read, true /*add read values*/); } // Write out the accs { kaldi::Output ko(stats_out_filename, binary); gmm_accs.Write(ko.Stream(), binary); } KALDI_LOG << "Written stats to " << stats_out_filename; } catch(const std::exception &e) { std::cerr << e.what() << ' '; return -1; } } |