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// nnet2bin/raw-nnet-info.cc
// Copyright 2013 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 "base/kaldi-common.h"
#include "util/common-utils.h"
#include "hmm/transition-model.h"
#include "nnet2/nnet-nnet.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
using namespace kaldi::nnet2;
typedef kaldi::int32 int32;
const char *usage =
"Print human-readable information about the raw neural network
"
"to the standard output
"
"Usage: raw-nnet-info [options] <nnet-in>
"
"e.g.:
"
" raw-nnet-info 1.nnet
";
ParseOptions po(usage);
po.Read(argc, argv);
if (po.NumArgs() != 1) {
po.PrintUsage();
exit(1);
}
std::string raw_nnet_rxfilename = po.GetArg(1);
Nnet nnet;
ReadKaldiObject(raw_nnet_rxfilename, &nnet);
std::cout << nnet.Info();
KALDI_LOG << "Printed info about " << raw_nnet_rxfilename;
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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