diff --git a/src/bin/matrix-logprob.cc b/src/bin/matrix-logprob.cc
+++ /dev/null
@@ -1,100 +0,0 @@
-// bin/matrix-logprob.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 "matrix/kaldi-matrix.h"
-#include "transform/transform-common.h"
-
-
-int main(int argc, char *argv[]) {
- try {
- using namespace kaldi;
-
- const char *usage =
- "Compute the log-prob of a particular (e.g.) pdf sequence, derived from a pdf alignment,\n"
- "given log-probs in a matrix. The log-probs are computed over the whole data and printed\n"
- "as a logging message. Optionally also write out the original matrix. This is for use in\n"
- "neural net discriminative training (for computing objective functions).\n"
- "\n"
- "Usage: matrix-logprob [options] <matrix-rspecifier> <pdf-ali-rspecifier> [<matrix-wspecifier1>]\n";
-
- ParseOptions po(usage);
-
- po.Read(argc, argv);
-
- if (po.NumArgs() < 2 || po.NumArgs() > 3) {
- po.PrintUsage();
- exit(1);
- }
-
- std::string matrix_rspecifier = po.GetArg(1),
- pdf_ali_rspecifier = po.GetArg(2),
- matrix_wspecifier = po.GetOptArg(3);
-
- SequentialBaseFloatMatrixReader matrix_reader(matrix_rspecifier);
- RandomAccessInt32VectorReader pdf_ali_reader(pdf_ali_rspecifier);
- BaseFloatMatrixWriter matrix_writer(matrix_wspecifier);
-
- int64 tot_num_frames = 0;
- double tot_log_prob = 0;
-
- int32 num_done = 0, num_err = 0;
- for (; !matrix_reader.Done(); matrix_reader.Next()) {
- std::string key = matrix_reader.Key();
- const Matrix<BaseFloat> &logprob = matrix_reader.Value();
- if (pdf_ali_reader.HasKey(key)) {
- const std::vector<int32> &ali = pdf_ali_reader.Value(key);
- int32 num_frames = ali.size();
- if (num_frames != logprob.NumRows()) {
- KALDI_WARN << "Alignment has wrong size " << num_frames
- << " vs. " << logprob.NumRows() << " for utterance " << key;
- num_err++;
- continue;
- }
- for (int32 t = 0; t < num_frames; t++) {
- int32 pdf_id = ali[t];
- if (pdf_id < 0 || pdf_id > logprob.NumCols()) // I'm letting this be an error.
- KALDI_ERR << "PDF id " << pdf_id << " out of range: "
- << " max is " << logprob.NumCols();
- tot_log_prob += logprob(t, pdf_id);
- }
- tot_num_frames += num_frames;
- num_done++;
- } else {
- KALDI_WARN << "No alignment for key " << key;
- num_err++;
- }
- if (!matrix_wspecifier.empty()) {
- matrix_writer.Write(key, logprob);
- }
- }
-
- KALDI_LOG << "Average log-prob per frame is " << (tot_log_prob / tot_num_frames)
- << " over " << tot_num_frames << " frames.";
- KALDI_LOG << "Successfully processed " << num_done << " utterances, "
- << num_err << " with errors.";
- return (num_done != 0 ? 0 : 1);
- } catch(const std::exception &e) {
- std::cerr << e.what();
- return -1;
- }
-}
-
-