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src/sgmm2bin/sgmm2-sum-accs.cc
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// sgmm2bin/sgmm2-sum-accs.cc
// Copyright 2009-2012 Saarland University; Microsoft Corporation
// Johns Hopkins University (author: Daniel Povey)
// 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 "sgmm2/estimate-am-sgmm2.h"
#include "hmm/transition-model.h"
int main(int argc, char *argv[]) {
try {
typedef kaldi::int32 int32;
const char *usage =
"Sum multiple accumulated stats files for SGMM training.
"
"Usage: sgmm2-sum-accs [options] stats-out stats-in1 stats-in2 ...
";
bool binary = true;
bool parallel = false;
kaldi::ParseOptions po(usage);
po.Register("binary", &binary, "Write output in binary mode");
po.Register("parallel", ¶llel, "If true, the program makes sure to open all "
"filehandles before reading for any (useful when summing accs from "
"long processes)");
po.Read(argc, argv);
if (po.NumArgs() < 2) {
po.PrintUsage();
exit(1);
}
std::string stats_out_filename = po.GetArg(1);
kaldi::Vector<double> transition_accs;
kaldi::MleAmSgmm2Accs sgmm_accs;
if (parallel) {
std::vector<kaldi::Input*> inputs(po.NumArgs() - 1);
for (int i = 0; i < po.NumArgs() - 1; i++) {
std::string stats_in_filename = po.GetArg(i + 2);
inputs[i] = new kaldi::Input(stats_in_filename); // Don't try
// to work out binary status yet; this would cause us to wait
// for the output of that process. We delay it till later.
}
for (size_t i = 0; i < po.NumArgs() - 1; i++) {
bool b;
if (kaldi::InitKaldiInputStream(inputs[i]->Stream(), &b)) {
transition_accs.Read(inputs[i]->Stream(), b, true /* add values */);
sgmm_accs.Read(inputs[i]->Stream(), b, true /* add values */);
delete inputs[i];
} else {
KALDI_ERR << "Failed to read input stats file " << po.GetArg(i + 2);
}
}
} else {
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);
transition_accs.Read(ki.Stream(), binary_read, true /* add values */);
sgmm_accs.Read(ki.Stream(), binary_read, true /* add values */);
}
}
// Write out the accs
{
kaldi::Output ko(stats_out_filename, binary);
transition_accs.Write(ko.Stream(), binary);
sgmm_accs.Write(ko.Stream(), binary);
}
KALDI_LOG << "Written stats to " << stats_out_filename;
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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