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src/nnet3bin/nnet3-discriminative-merge-egs.cc
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// nnet3bin/nnet3-discriminative-merge-egs.cc
// Copyright 2012-2015 Johns Hopkins University (author: Daniel Povey)
// 2014-2015 Vimal Manohar
// 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 "hmm/transition-model.h"
#include "nnet3/nnet-discriminative-example.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
using namespace kaldi::nnet3;
typedef kaldi::int32 int32;
typedef kaldi::int64 int64;
const char *usage =
"This copies nnet3 discriminative training examples from input to output, merging them
"
"into composite examples. The --minibatch-size option controls how many egs
"
"are merged into a single output eg.
"
"
"
"Usage: nnet3-discriminative-egs [options] <egs-rspecifier> <egs-wspecifier>
"
"e.g.
"
"nnet3-discriminative-merge-egs --minibatch-size=128 ark:1.degs ark:- | nnet3-discriminative-train ...
"
"See also nnet3-discriminative-copy-egs
";
ExampleMergingConfig merging_config("64"); // 64 is default minibatch size.
ParseOptions po(usage);
merging_config.Register(&po);
po.Read(argc, argv);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
std::string examples_rspecifier = po.GetArg(1),
examples_wspecifier = po.GetArg(2);
SequentialNnetDiscriminativeExampleReader example_reader(examples_rspecifier);
NnetDiscriminativeExampleWriter example_writer(examples_wspecifier);
merging_config.ComputeDerived();
DiscriminativeExampleMerger merger(merging_config, &example_writer);
for (; !example_reader.Done(); example_reader.Next()) {
const NnetDiscriminativeExample &cur_eg = example_reader.Value();
merger.AcceptExample(new NnetDiscriminativeExample(cur_eg));
}
// the merger itself prints the necessary diagnostics.
merger.Finish();
return merger.ExitStatus();
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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