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// nnet2bin/nnet-init.cc
// Copyright 2012 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 "nnet2/am-nnet.h"
#include "hmm/transition-model.h"
#include "tree/context-dep.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
using namespace kaldi::nnet2;
typedef kaldi::int32 int32;
const char *usage =
"Initialize the nnet2 neural network from a config file with a line for each
"
"component. Note, this only outputs the neural net itself, not the associated
"
"information such as the transition-model; you'll probably want to pipe
"
"the output into something like nnet-am-init.
"
"
"
"Usage: nnet-init [options] <config-in> <raw-nnet-out>
"
"e.g.:
"
" nnet-init nnet.config 1.raw
";
bool binary_write = true;
int32 srand_seed = 0;
ParseOptions po(usage);
po.Register("binary", &binary_write, "Write output in binary mode");
po.Register("srand", &srand_seed, "Seed for random number generator");
po.Read(argc, argv);
srand(srand_seed);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
std::string config_rxfilename = po.GetArg(1),
raw_nnet_wxfilename = po.GetArg(2);
Nnet nnet;
{
bool binary;
Input ki(config_rxfilename, &binary);
KALDI_ASSERT(!binary && "Expect config file to contain text.");
nnet.Init(ki.Stream());
}
WriteKaldiObject(nnet, raw_nnet_wxfilename, binary_write);
KALDI_LOG << "Initialized raw neural net and wrote it to "
<< raw_nnet_wxfilename;
return 0;
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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