Blame view
src/nnet2bin/nnet-get-feature-transform-multi.cc
3.29 KB
8dcb6dfcb first commit |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 |
// nnet2bin/nnet-get-feature-transform-multi.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 "nnet2/get-feature-transform.h" int main(int argc, char *argv[]) { using namespace kaldi; typedef kaldi::int32 int32; try { const char *usage = "Get feature-projection transform using stats obtained with acc-lda. " "The file <index-list> contains a series of line, each containing a list " "of integer indexes. For each line we create a transform of the same type " "as nnet-get-feature-transform would produce, taking as input just the " "listed feature dimensions. The output transform will be the concatenation " "of all these transforms. The output-dim will be the number of integers in " "the file <index-list> (the individual transforms are not dimension-reducing). " "Do not set the --dim option." "Usage: nnet-get-feature-transform-multi [options] <index-list> <lda-acc-1> <lda-acc-2> ... <lda-acc-n> <matrix-out> "; bool binary = true; FeatureTransformEstimateOptions opts; ParseOptions po(usage); po.Register("binary", &binary, "Write accumulators in binary mode."); opts.Register(&po); po.Read(argc, argv); if (po.NumArgs() < 2) { po.PrintUsage(); exit(1); } FeatureTransformEstimateMulti fte; std::string index_list_rxfilename = po.GetArg(1); std::string projection_wxfilename = po.GetArg(po.NumArgs()); std::vector<std::vector<int32> > indexes; { Input ki(index_list_rxfilename); std::string line; while (getline(ki.Stream(), line)) { std::vector<int32> this_indexes; if (!SplitStringToIntegers(line, " \t \r", true, &this_indexes) || line.empty()) { KALDI_ERR << "Bad line in index-list file: line is " << line; } indexes.push_back(this_indexes); } if (indexes.empty()) KALDI_ERR << "Empty index-list file " << PrintableRxfilename(index_list_rxfilename); } for (int32 i = 2; i < po.NumArgs(); i++) { bool binary_in, add = true; Input ki(po.GetArg(i), &binary_in); fte.Read(ki.Stream(), binary_in, add); } Matrix<BaseFloat> mat; fte.Estimate(opts, indexes, &mat); WriteKaldiObject(mat, projection_wxfilename, binary); KALDI_LOG << "Wrote transform to " << PrintableWxfilename(projection_wxfilename); return 0; } catch(const std::exception &e) { std::cerr << e.what(); return -1; } } |