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src/nnet2bin/nnet-replace-last-layers.cc
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// nnet2bin/nnet-replace-last-layers.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 "nnet2/nnet-functions.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 =
"This program is for adding new layers to a neural-network acoustic model.
"
"It removes the last --remove-layers layers, and adds the layers from the
"
"supplied raw-nnet. The typical use is to remove the last two layers
"
"(the softmax, and the affine component before it), and add in replacements
"
"for them newly initialized by nnet-init. This program is a more flexible
"
"way of adding layers than nnet-insert, but the inserted network needs to
"
"contain replacements for the removed layers.
"
"
"
"Usage: nnet-replace-last-layers [options] <nnet-in> <raw-nnet-to-insert-in> <nnet-out>
"
"e.g.:
"
" nnet-replace-last-layers 1.nnet \"nnet-init hidden_layer.config -|\" 2.nnet
";
bool binary_write = true;
int32 remove_layers = 2;
ParseOptions po(usage);
po.Register("binary", &binary_write, "Write output in binary mode");
po.Register("remove-layers", &remove_layers, "Number of final layers "
"to remove before adding input raw network.");
po.Read(argc, argv);
if (po.NumArgs() != 3) {
po.PrintUsage();
exit(1);
}
std::string nnet_rxfilename = po.GetArg(1),
raw_nnet_rxfilename = po.GetArg(2),
nnet_wxfilename = po.GetArg(3);
TransitionModel trans_model;
AmNnet am_nnet;
{
bool binary;
Input ki(nnet_rxfilename, &binary);
trans_model.Read(ki.Stream(), binary);
am_nnet.Read(ki.Stream(), binary);
}
Nnet src_nnet; // the one we'll insert.
ReadKaldiObject(raw_nnet_rxfilename, &src_nnet);
// This function is declared in nnet-functions.h
ReplaceLastComponents(src_nnet,
remove_layers,
&(am_nnet.GetNnet()));
KALDI_LOG << "Removed " << remove_layers << " components and added "
<< src_nnet.NumComponents();
{
Output ko(nnet_wxfilename, binary_write);
trans_model.Write(ko.Stream(), binary_write);
am_nnet.Write(ko.Stream(), binary_write);
}
KALDI_LOG << "Write neural-net acoustic model to " << nnet_wxfilename;
return 0;
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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