#include <transform-common.h>

Inheritance diagram for AffineXformStats:

Collaboration diagram for AffineXformStats:

Public Member Functions
	AffineXformStats ()

void	Init (int32 dim, int32 num_gs)

int32	Dim () const

void	SetZero ()

void	CopyStats (const AffineXformStats &other)

void	Add (const AffineXformStats &other)

void	Write (std::ostream &out, bool binary) const

void	Read (std::istream &in, bool binary, bool add)

	AffineXformStats (const AffineXformStats &other)

Public Attributes
double	beta_
	beta_ is the occupation count. More...

Matrix< double >	K_
	K_ is the summed outer product of [mean times inverse variance] with [extended data], scaled by the occupation counts; dimension is dim by (dim+1) More...

std::vector< SpMatrix< double > >	G_
	G_ is the outer product of extended-data, scaled by inverse variance, for each dimension. More...

int32	dim_
	dim_ is the feature dimension. More...

Detailed Description

Definition at line 30 of file transform-common.h.

Constructor & Destructor Documentation

◆ AffineXformStats() [1/2]

AffineXformStats ( )

inline

Definition at line 44 of file transform-common.h.

References AffineXformStats::Init().

44 : beta_(0.0), dim_(0.0) {}

kaldi::AffineXformStats::dim_

int32 dim_

dim_ is the feature dimension.

Definition: transform-common.h:43

kaldi::AffineXformStats::beta_

double beta_

beta_ is the occupation count.

Definition: transform-common.h:33

◆ AffineXformStats() [2/2]

AffineXformStats ( const AffineXformStats & other )

inline

Definition at line 52 of file transform-common.h.

References kaldi::ApplyAffineTransform(), and kaldi::ComposeTransforms().

                                                  : beta_(other.beta_),
                                                    K_(other.K_),
                                                    G_(other.G_),
                                                    dim_(other.dim_) {}

Member Function Documentation

◆ Add()

void Add ( const AffineXformStats & other )

Definition at line 123 of file transform-common.cc.

References MatrixBase< Real >::AddMat(), AffineXformStats::beta_, AffineXformStats::dim_, AffineXformStats::G_, rnnlm::i, AffineXformStats::K_, KALDI_ASSERT, and kaldi::kNoTrans.

Referenced by AffineXformStats::Dim().

                                                         {
   KALDI_ASSERT(G_.size() == other.G_.size());
   KALDI_ASSERT(dim_ == other.dim_);
   beta_ += other.beta_;
   K_.AddMat(1.0, other.K_, kNoTrans);
   for (size_t i = 0; i < G_.size(); i++)
     G_[i].AddSp(1.0, other.G_[i]);
 }

◆ CopyStats()

void CopyStats ( const AffineXformStats & other )

Definition at line 114 of file transform-common.cc.

References AffineXformStats::beta_, MatrixBase< Real >::CopyFromMat(), AffineXformStats::dim_, AffineXformStats::G_, rnnlm::i, AffineXformStats::K_, KALDI_ASSERT, and kaldi::kNoTrans.

Referenced by AffineXformStats::Dim().

                                                               {
   KALDI_ASSERT(G_.size() == other.G_.size());
   KALDI_ASSERT(dim_ == other.dim_);
   beta_ = other.beta_;
   K_.CopyFromMat(other.K_, kNoTrans);
   for (size_t i = 0; i < G_.size(); i++)
     G_[i].CopyFromSp(other.G_[i]);
 }

◆ Dim()

int32 Dim ( ) const

inline

Definition at line 46 of file transform-common.h.

References AffineXformStats::Add(), AffineXformStats::CopyStats(), AffineXformStats::dim_, AffineXformStats::Read(), AffineXformStats::SetZero(), and AffineXformStats::Write().

Referenced by kaldi::ApplyFeatureTransformToStats(), kaldi::ApplyModelTransformToStats(), FmllrDiagGmmAccs::CommitSingleFrameStats(), CompressedAffineXformStats::CopyFromAffineXformStats(), CompressedAffineXformStats::CopyToAffineXformStats(), FmllrDiagGmmAccs::DataHasChanged(), and SingleUtteranceGmmDecoder::EstimateFmllr().

46 { return dim_; }

kaldi::AffineXformStats::dim_

int32 dim_

dim_ is the feature dimension.

Definition: transform-common.h:43

◆ Init()

void Init	(	int32	dim,
		int32	num_gs
	)

Definition at line 28 of file transform-common.cc.

References AffineXformStats::beta_, AffineXformStats::dim_, AffineXformStats::G_, rnnlm::i, AffineXformStats::K_, KALDI_WARN, kaldi::kSetZero, and Matrix< Real >::Resize().

Referenced by AffineXformStats::AffineXformStats(), CompressedAffineXformStats::CopyToAffineXformStats(), and FmllrDiagGmmAccs::Init().

                                                    {
   if (dim == 0) {
     if (num_gs != 0) {
       KALDI_WARN << "Ignoring 'num_gs' (=" << num_gs << ") argument since "
                  << "dim = 0.";
     }
     beta_ = 0.0;
     K_.Resize(0, 0);
     G_.clear();
     dim_ = 0;
   } else {
     beta_ = 0.0;
     K_.Resize(dim, dim + 1, kSetZero);
     G_.resize(num_gs);
     for (int32 i = 0; i < num_gs; i++)
       G_[i].Resize(dim + 1, kSetZero);
     dim_ = dim;
   }
 }

◆ Read()

void Read	(	std::istream &	in,
		bool	binary,
		bool	add
	)

Definition at line 69 of file transform-common.cc.

References MatrixBase< Real >::AddMat(), AffineXformStats::beta_, MatrixBase< Real >::CopyFromMat(), SpMatrix< Real >::CopyFromSp(), AffineXformStats::dim_, kaldi::ExpectToken(), AffineXformStats::G_, rnnlm::i, AffineXformStats::K_, kaldi::kNoTrans, MatrixBase< Real >::NumCols(), MatrixBase< Real >::NumRows(), PackedMatrix< Real >::NumRows(), PackedMatrix< Real >::Read(), Matrix< Real >::Read(), kaldi::ReadBasicType(), SpMatrix< Real >::Resize(), and Matrix< Real >::Resize().

Referenced by AffineXformStats::Dim(), and FmllrDiagGmmAccs::Read().

                                                                  {
   ExpectToken(in, binary, "<DIMENSION>");
   ReadBasicType(in, binary, &dim_);
   ExpectToken(in, binary, "<BETA>");
   ReadBasicType(in, binary, &beta_);
   ExpectToken(in, binary, "<K>");
   Matrix<BaseFloat> tmp_k;
   tmp_k.Read(in, binary);
   K_.Resize(tmp_k.NumRows(), tmp_k.NumCols());
   if (add) {
     Matrix<double> tmp_k_d(tmp_k);
     K_.AddMat(1.0, tmp_k_d, kNoTrans);
   } else {
     K_.CopyFromMat(tmp_k, kNoTrans);
   }
   ExpectToken(in, binary, "<G>");
   int32 g_size;
   ReadBasicType(in, binary, &g_size);
   G_.resize(g_size);
   SpMatrix<BaseFloat> tmp_g;
   SpMatrix<double> tmp_g_d;
   if (add) { tmp_g_d.Resize(tmp_g.NumRows()); }
   for (size_t i = 0; i < G_.size(); i++) {
     tmp_g.Read(in, binary, false /*no add*/);
     G_[i].Resize(tmp_g.NumRows());
     if (add) {
       tmp_g_d.CopyFromSp(tmp_g);
       G_[i].AddSp(1.0, tmp_g_d);
     } else {
       G_[i].CopyFromSp(tmp_g);
     }
   }
 }

◆ SetZero()

void SetZero ( )

Definition at line 105 of file transform-common.cc.

References AffineXformStats::beta_, AffineXformStats::G_, AffineXformStats::K_, and MatrixBase< Real >::SetZero().

Referenced by AffineXformStats::Dim().

                                {
   beta_ = 0.0;
   K_.SetZero();
   for (std::vector< SpMatrix<double> >::iterator it = G_.begin(),
       end = G_.end(); it != end; ++it) {
     it->SetZero();
   }
 }

◆ Write()

void Write	(	std::ostream &	out,
		bool	binary
	)		const

Definition at line 48 of file transform-common.cc.

References AffineXformStats::beta_, AffineXformStats::dim_, AffineXformStats::G_, AffineXformStats::K_, PackedMatrix< Real >::Write(), MatrixBase< Real >::Write(), kaldi::WriteBasicType(), and kaldi::WriteToken().

Referenced by AffineXformStats::Dim(), and OnlineGmmAdaptationState::Write().

                                                                {
   WriteToken(out, binary, "<DIMENSION>");
   WriteBasicType(out, binary, dim_);
   if (!binary) out << '\n';
   WriteToken(out, binary, "<BETA>");
   WriteBasicType(out, binary, beta_);
   if (!binary) out << '\n';
   WriteToken(out, binary, "<K>");
   Matrix<BaseFloat> tmp_k(K_);
   tmp_k.Write(out, binary);
   WriteToken(out, binary, "<G>");
   int32 g_size = static_cast<int32>(G_.size());
   WriteBasicType(out, binary, g_size);
   if (!binary) out << '\n';
   for (std::vector< SpMatrix<double> >::const_iterator itr = G_.begin(),
       end = G_.end(); itr != end; ++itr) {
     SpMatrix<BaseFloat> tmp_g(*itr);
     tmp_g.Write(out, binary);
   }
 }

Member Data Documentation

◆ beta_

double beta_

beta_ is the occupation count.

Definition at line 33 of file transform-common.h.

Referenced by BasisFmllrAccus::AccuGradientScatter(), AffineXformStats::Add(), kaldi::CalBasisFmllrStepSize(), kaldi::CalcFmllrStepSize(), FmllrDiagGmmAccs::CommitSingleFrameStats(), kaldi::ComputeFmllrMatrixDiagGmmDiagonal(), kaldi::ComputeFmllrMatrixDiagGmmFull(), LinearVtln::ComputeTransform(), BasisFmllrEstimate::ComputeTransform(), CompressedAffineXformStats::CopyFromAffineXformStats(), AffineXformStats::CopyStats(), CompressedAffineXformStats::CopyToAffineXformStats(), SingleUtteranceGmmDecoder::EstimateFmllr(), kaldi::FmllrAuxfGradient(), kaldi::FmllrAuxFuncDiagGmm(), FmllrDiagGmmAccs::FmllrDiagGmmAccs(), AffineXformStats::Init(), AffineXformStats::Read(), AffineXformStats::SetZero(), FmllrDiagGmmAccs::Update(), and AffineXformStats::Write().

◆ dim_

int32 dim_

dim_ is the feature dimension.

Definition at line 43 of file transform-common.h.

Referenced by AffineXformStats::Add(), kaldi::CalBasisFmllrStepSize(), BasisFmllrEstimate::ComputeTransform(), AffineXformStats::CopyStats(), AffineXformStats::Dim(), AffineXformStats::Init(), AffineXformStats::Read(), and AffineXformStats::Write().

◆ G_

std::vector< SpMatrix<double> > G_

G_ is the outer product of extended-data, scaled by inverse variance, for each dimension.

These are the quadratic stats in fMLLR; in the diagonal-fMLLR case G will be indexed 0 to dim_ - 1, but in the full-fMLLR case it will be indexed 0 to ((dim)(dim+1))/2. Each G_[i] is of dimension dim+1 by dim+1.

Definition at line 41 of file transform-common.h.

Referenced by BasisFmllrAccus::AccuGradientScatter(), AffineXformStats::Add(), kaldi::ApplyFeatureTransformToStats(), kaldi::ApplyModelTransformToStats(), kaldi::CalcFmllrStepSize(), FmllrDiagGmmAccs::CommitSingleFrameStats(), kaldi::ComputeFmllrMatrixDiagGmmDiagonal(), kaldi::ComputeFmllrMatrixDiagGmmFull(), kaldi::ComputeFmllrMatrixDiagGmmOffset(), BasisFmllrEstimate::ComputeTransform(), CompressedAffineXformStats::CopyFromAffineXformStats(), AffineXformStats::CopyStats(), CompressedAffineXformStats::CopyToAffineXformStats(), kaldi::FmllrAuxfGradient(), kaldi::FmllrAuxFuncDiagGmm(), FmllrDiagGmmAccs::FmllrDiagGmmAccs(), AffineXformStats::Init(), kaldi::MllrAuxFunction(), AffineXformStats::Read(), AffineXformStats::SetZero(), and AffineXformStats::Write().

◆ K_

Matrix<double> K_

K_ is the summed outer product of [mean times inverse variance] with [extended data], scaled by the occupation counts; dimension is dim by (dim+1)

Definition at line 36 of file transform-common.h.

Referenced by BasisFmllrAccus::AccuGradientScatter(), AffineXformStats::Add(), kaldi::ApplyFeatureTransformToStats(), kaldi::ApplyModelTransformToStats(), kaldi::CalcFmllrStepSize(), FmllrDiagGmmAccs::CommitSingleFrameStats(), kaldi::ComputeFmllrMatrixDiagGmmDiagonal(), kaldi::ComputeFmllrMatrixDiagGmmFull(), kaldi::ComputeFmllrMatrixDiagGmmOffset(), BasisFmllrEstimate::ComputeTransform(), CompressedAffineXformStats::CopyFromAffineXformStats(), AffineXformStats::CopyStats(), CompressedAffineXformStats::CopyToAffineXformStats(), kaldi::FmllrAuxfGradient(), kaldi::FmllrAuxFuncDiagGmm(), FmllrDiagGmmAccs::FmllrDiagGmmAccs(), AffineXformStats::Init(), kaldi::MllrAuxFunction(), AffineXformStats::Read(), AffineXformStats::SetZero(), and AffineXformStats::Write().

The documentation for this class was generated from the following files:

transform/transform-common.h
transform/transform-common.cc

Public Member Functions

Public Attributes

Detailed Description

Constructor & Destructor Documentation

◆ AffineXformStats() [1/2]

◆ AffineXformStats() [2/2]

Member Function Documentation

◆ Add()

◆ CopyStats()

◆ Dim()

◆ Init()

◆ Read()

◆ SetZero()

◆ Write()

Member Data Documentation

◆ beta_

◆ dim_

◆ G_

◆ K_