113 lines
3.8 KiB
C++
113 lines
3.8 KiB
C++
|
// decoder/decodable-matrix.cc
|
||
|
|
|
||
|
|
// Copyright 2018 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 "decoder/decodable-matrix.h"
|
||
|
|
|
||
|
|
namespace kaldi {
|
||
|
|
|
||
|
|
DecodableMatrixMapped::DecodableMatrixMapped(
|
||
|
|
const TransitionInformation &tm,
|
||
|
|
const MatrixBase<BaseFloat> &likes,
|
||
|
|
int32 frame_offset):
|
||
|
|
trans_model_(tm),
|
||
|
|
tid_to_pdf_(trans_model_.TransitionIdToPdfArray()),
|
||
|
|
likes_(&likes), likes_to_delete_(NULL),
|
||
|
|
frame_offset_(frame_offset) {
|
||
|
|
stride_ = likes.Stride();
|
||
|
|
raw_data_ = likes.Data() - (stride_ * frame_offset);
|
||
|
|
|
||
|
|
if (likes.NumCols() != tm.NumPdfs())
|
||
|
|
KALDI_ERR << "Mismatch, matrix has "
|
||
|
|
<< likes.NumCols() << " cols but transition-model has "
|
||
|
|
<< tm.NumPdfs() << " pdf-ids.";
|
||
|
|
}
|
||
|
|
|
||
|
|
DecodableMatrixMapped::DecodableMatrixMapped(
|
||
|
|
const TransitionInformation &tm, const Matrix<BaseFloat> *likes,
|
||
|
|
int32 frame_offset):
|
||
|
|
trans_model_(tm),
|
||
|
|
tid_to_pdf_(trans_model_.TransitionIdToPdfArray()),
|
||
|
|
likes_(likes), likes_to_delete_(likes),
|
||
|
|
frame_offset_(frame_offset) {
|
||
|
|
stride_ = likes->Stride();
|
||
|
|
raw_data_ = likes->Data() - (stride_ * frame_offset_);
|
||
|
|
if (likes->NumCols() != tm.NumPdfs())
|
||
|
|
KALDI_ERR << "Mismatch, matrix has "
|
||
|
|
<< likes->NumCols() << " cols but transition-model has "
|
||
|
|
<< tm.NumPdfs() << " pdf-ids.";
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
BaseFloat DecodableMatrixMapped::LogLikelihood(int32 frame, int32 tid) {
|
||
|
|
KALDI_PARANOID_ASSERT(tid >= 1 && tid < tid_to_pdf_.size());
|
||
|
|
int32 pdf_id = tid_to_pdf_[tid];
|
||
|
|
#ifdef KALDI_PARANOID
|
||
|
|
return (*likes_)(frame - frame_offset_, pdf_id);
|
||
|
|
#else
|
||
|
|
return raw_data_[frame * stride_ + pdf_id];
|
||
|
|
#endif
|
||
|
|
}
|
||
|
|
|
||
|
|
int32 DecodableMatrixMapped::NumFramesReady() const {
|
||
|
|
return frame_offset_ + likes_->NumRows();
|
||
|
|
}
|
||
|
|
|
||
|
|
bool DecodableMatrixMapped::IsLastFrame(int32 frame) const {
|
||
|
|
KALDI_ASSERT(frame < NumFramesReady());
|
||
|
|
return (frame == NumFramesReady() - 1);
|
||
|
|
}
|
||
|
|
|
||
|
|
// Indices are one-based! This is for compatibility with OpenFst.
|
||
|
|
int32 DecodableMatrixMapped::NumIndices() const {
|
||
|
|
return trans_model_.NumTransitionIds();
|
||
|
|
}
|
||
|
|
|
||
|
|
DecodableMatrixMapped::~DecodableMatrixMapped() {
|
||
|
|
delete likes_to_delete_;
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
void DecodableMatrixMappedOffset::AcceptLoglikes(
|
||
|
|
Matrix<BaseFloat> *loglikes, int32 frames_to_discard) {
|
||
|
|
if (loglikes->NumRows() == 0) return;
|
||
|
|
KALDI_ASSERT(loglikes->NumCols() == trans_model_.NumPdfs());
|
||
|
|
KALDI_ASSERT(frames_to_discard <= loglikes_.NumRows() &&
|
||
|
|
frames_to_discard >= 0);
|
||
|
|
if (frames_to_discard == loglikes_.NumRows()) {
|
||
|
|
loglikes_.Swap(loglikes);
|
||
|
|
loglikes->Resize(0, 0);
|
||
|
|
} else {
|
||
|
|
int32 old_rows_kept = loglikes_.NumRows() - frames_to_discard,
|
||
|
|
new_num_rows = old_rows_kept + loglikes->NumRows();
|
||
|
|
Matrix<BaseFloat> new_loglikes(new_num_rows, loglikes->NumCols());
|
||
|
|
new_loglikes.RowRange(0, old_rows_kept).CopyFromMat(
|
||
|
|
loglikes_.RowRange(frames_to_discard, old_rows_kept));
|
||
|
|
new_loglikes.RowRange(old_rows_kept, loglikes->NumRows()).CopyFromMat(
|
||
|
|
*loglikes);
|
||
|
|
loglikes_.Swap(&new_loglikes);
|
||
|
|
}
|
||
|
|
frame_offset_ += frames_to_discard;
|
||
|
|
stride_ = loglikes_.Stride();
|
||
|
|
raw_data_ = loglikes_.Data() - (frame_offset_ * stride_);
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
} // end namespace kaldi.
|