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src/nnetbin/nnet-concat.cc
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// nnetbin/nnet-concat.cc
// Copyright 2012-2013 Brno University of Technology (Author: Karel Vesely)
// 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 "nnet/nnet-nnet.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
using namespace kaldi::nnet1;
typedef kaldi::int32 int32;
const char *usage =
"Concatenate Neural Networks (and possibly change binary/text format)
"
"Usage: nnet-concat [options] <nnet-in1> <...> <nnet-inN> <nnet-out>
"
"e.g.:
"
" nnet-concat --binary=false nnet.1 nnet.2 nnet.1.2
";
ParseOptions po(usage);
bool binary_write = true;
po.Register("binary", &binary_write, "Write output in binary mode");
po.Read(argc, argv);
if (po.NumArgs() < 3) {
po.PrintUsage();
exit(1);
}
std::string model_in_filename = po.GetArg(1);
std::string model_in_filename_next;
std::string model_out_filename = po.GetArg(po.NumArgs());
// read the first nnet,
KALDI_LOG << "Reading " << model_in_filename;
Nnet nnet;
{
bool binary_read;
Input ki(model_in_filename, &binary_read);
nnet.Read(ki.Stream(), binary_read);
}
// read all the other nnets,
for (int32 i = 2; i < po.NumArgs(); i++) {
// read the nnet,
model_in_filename_next = po.GetArg(i);
KALDI_LOG << "Concatenating " << model_in_filename_next;
Nnet nnet_next;
{
bool binary_read;
Input ki(model_in_filename_next, &binary_read);
nnet_next.Read(ki.Stream(), binary_read);
}
// append nnet_next to the network nnet,
nnet.AppendNnet(nnet_next);
}
// finally write the nnet to disk,
{
Output ko(model_out_filename, binary_write);
nnet.Write(ko.Stream(), binary_write);
}
KALDI_LOG << "Written model to " << model_out_filename;
return 0;
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}
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