nnet-info.cc
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// nnetbin/nnet-info.cc
// Copyright 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 =
"Print human-readable information about the neural network.\n"
"(topology, various weight statistics, etc.) It prints to stdout.\n"
"Usage: nnet-info [options] <nnet-in>\n"
"e.g.:\n"
" nnet-info 1.nnet\n";
ParseOptions po(usage);
po.Read(argc, argv);
if (po.NumArgs() != 1) {
po.PrintUsage();
exit(1);
}
std::string nnet_rxfilename = po.GetArg(1);
// load the network
Nnet nnet;
{
bool binary_read;
Input ki(nnet_rxfilename, &binary_read);
nnet.Read(ki.Stream(), binary_read);
}
std::cout << nnet.Info();
KALDI_LOG << "Printed info about " << nnet_rxfilename;
return 0;
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}