AdditiveNoiseComponent Class Reference

This is a bit similar to dropout but adding (not multiplying) Gaussian noise with a given standard deviation. More...

#include <nnet-component.h>

Inheritance diagram for AdditiveNoiseComponent:

Collaboration diagram for AdditiveNoiseComponent:

Public Member Functions
void	Init (int32 dim, BaseFloat noise_stddev)
	AdditiveNoiseComponent (int32 dim, BaseFloat stddev)
	AdditiveNoiseComponent ()
virtual int32	InputDim () const
	Get size of input vectors. More...
virtual int32	OutputDim () const
	Get size of output vectors. More...
virtual void	InitFromString (std::string args)
	Initialize, typically from a line of a config file. More...
virtual void	Read (std::istream &is, bool binary)
virtual void	Write (std::ostream &os, bool binary) const
	Write component to stream. More...
virtual std::string	Type () const
virtual bool	BackpropNeedsInput () const
virtual bool	BackpropNeedsOutput () const
virtual Component *	Copy () const
	Copy component (deep copy). More...
virtual void	Propagate (const ChunkInfo &in_info, const ChunkInfo &out_info, const CuMatrixBase< BaseFloat > &in, CuMatrixBase< BaseFloat > *out) const
	Perform forward pass propagation Input->Output. More...
virtual void	Backprop (const ChunkInfo &in_info, const ChunkInfo &out_info, const CuMatrixBase< BaseFloat > &in_value, const CuMatrixBase< BaseFloat > &out_value, const CuMatrixBase< BaseFloat > &out_deriv, Component *to_update, CuMatrix< BaseFloat > *in_deriv) const
	Perform backward pass propagation of the derivative, and also either update the model (if to_update == this) or update another model or compute the model derivative (otherwise). More...
Public Member Functions inherited from RandomComponent
void	ResetGenerator ()
Public Member Functions inherited from Component
	Component ()
virtual int32	Index () const
	Returns the index in the sequence of layers in the neural net; intended only to be used in debugging information. More...
virtual void	SetIndex (int32 index)
virtual std::vector< int32 >	Context () const
	Return a vector describing the temporal context this component requires for each frame of output, as a sorted list. More...
void	Propagate (const ChunkInfo &in_info, const ChunkInfo &out_info, const CuMatrixBase< BaseFloat > &in, CuMatrix< BaseFloat > *out) const
	A non-virtual propagate function that first resizes output if necessary. More...
virtual std::string	Info () const
virtual	~Component ()

Private Attributes
int32	dim_
BaseFloat	stddev_

Additional Inherited Members
Static Public Member Functions inherited from Component
static Component *	ReadNew (std::istream &is, bool binary)
	Read component from stream. More...
static Component *	NewFromString (const std::string &initializer_line)
	Initialize the Component from one line that will contain first the type, e.g. More...
static Component *	NewComponentOfType (const std::string &type)
	Return a new Component of the given type e.g. More...
Protected Attributes inherited from RandomComponent
CuRand< BaseFloat >	random_generator_

Detailed Description

This is a bit similar to dropout but adding (not multiplying) Gaussian noise with a given standard deviation.

Definition at line 1635 of file nnet-component.h.

Constructor & Destructor Documentation

AdditiveNoiseComponent() [1/2]

AdditiveNoiseComponent ( int32  dim, BaseFloat  stddev  )

inline

Definition at line 1638 of file nnet-component.h.

{ Init(dim, stddev); }

AdditiveNoiseComponent() [2/2]

AdditiveNoiseComponent ( )

inline

Definition at line 1639 of file nnet-component.h.

: dim_(0), stddev_(1.0) { }

Member Function Documentation

Backprop()

virtual void Backprop ( const ChunkInfo &  in_info, const ChunkInfo &  out_info, const CuMatrixBase< BaseFloat > &  in_value, const CuMatrixBase< BaseFloat > &  out_value, const CuMatrixBase< BaseFloat > &  out_deriv, Component *  to_update, CuMatrix< BaseFloat > *  in_deriv  ) const

inlinevirtual

Perform backward pass propagation of the derivative, and also either update the model (if to_update == this) or update another model or compute the model derivative (otherwise).

Note: in_value and out_value are the values of the input and output of the component, and these may be dummy variables if respectively BackpropNeedsInput() or BackpropNeedsOutput() return false for that component (not all components need these).

num_chunks lets us treat the input matrix as contiguous-in-time chunks of equal size; it only matters if splicing is involved.

Implements Component.

Definition at line 1660 of file nnet-component.h.

                                                             { *in_deriv = out_deriv; }

BackpropNeedsInput()

virtual bool BackpropNeedsInput ( ) const

inlinevirtual

Reimplemented from Component.

Definition at line 1650 of file nnet-component.h.

{ return false; }

BackpropNeedsOutput()

virtual bool BackpropNeedsOutput ( ) const

inlinevirtual

Reimplemented from Component.

Definition at line 1651 of file nnet-component.h.

{ return false; }

Copy()

virtual Component* Copy ( ) const

inlinevirtual

Copy component (deep copy).

Implements Component.

Definition at line 1652 of file nnet-component.h.

References Component::Propagate().

                                  {
    return new AdditiveNoiseComponent(dim_, stddev_);
  }

Init()

void Init	(	int32	dim,
		BaseFloat	noise_stddev
	)

Definition at line 3614 of file nnet-component.cc.

                                                             {
  dim_ = dim;
  stddev_ = stddev;
}

InitFromString()

void InitFromString ( std::string  args )

virtual

Initialize, typically from a line of a config file.

The "args" will contain any parameters that need to be passed to the Component, e.g. dimensions.

Implements Component.

Definition at line 3584 of file nnet-component.cc.

References AffineComponentPreconditionedOnline::Init(), KALDI_ERR, and kaldi::nnet2::ParseFromString().

Referenced by kaldi::nnet2::UnitTestAdditiveNoiseComponent().

                                                          {
  std::string orig_args(args);
  int32 dim;
  BaseFloat stddev = 1.0;
  bool ok = ParseFromString("dim", &args, &dim);
  ParseFromString("stddev", &args, &stddev);

  if (!ok || !args.empty() || dim <= 0)
    KALDI_ERR << "Invalid initializer for layer of type AdditiveNoiseComponent: \""
              << orig_args << "\"";
  Init(dim, stddev);
}

InputDim()

virtual int32 InputDim ( ) const

inlinevirtual

Get size of input vectors.

Implements Component.

Definition at line 1640 of file nnet-component.h.

{ return dim_; }

OutputDim()

virtual int32 OutputDim ( ) const

inlinevirtual

Get size of output vectors.

Implements Component.

Definition at line 1641 of file nnet-component.h.

{ return dim_; }

Propagate()

void Propagate ( const ChunkInfo &  in_info, const ChunkInfo &  out_info, const CuMatrixBase< BaseFloat > &  in, CuMatrixBase< BaseFloat > *  out  ) const

virtual

Perform forward pass propagation Input->Output.

Each row is one frame or training example. Interpreted as "num_chunks" equally sized chunks of frames; this only matters for layers that do things like context splicing. Typically this variable will either be 1 (when we're processing a single contiguous chunk of data) or will be the same as in.NumFrames(), but other values are possible if some layers do splicing.

Implements Component.

Definition at line 3619 of file nnet-component.cc.

References CuMatrixBase< Real >::AddMat(), CuMatrixBase< Real >::CopyFromMat(), AffineComponent::InputDim(), KALDI_ASSERT, CuMatrixBase< Real >::NumCols(), CuMatrixBase< Real >::NumRows(), and kaldi::RandUniform().

                                                                            {
  KALDI_ASSERT(in.NumCols() == this->InputDim());
  out->CopyFromMat(in);
  CuMatrix<BaseFloat> rand(in.NumRows(), in.NumCols());
  const_cast<CuRand<BaseFloat>&>(random_generator_).RandUniform(&rand);
  out->AddMat(stddev_, rand);
}

Read()

void Read ( std::istream &  is, bool  binary  )

virtual

Implements Component.

Definition at line 3597 of file nnet-component.cc.

References kaldi::nnet2::ExpectOneOrTwoTokens(), kaldi::ExpectToken(), and kaldi::ReadBasicType().

                                                             {
  ExpectOneOrTwoTokens(is, binary, "<AdditiveNoiseComponent>", "<Dim>");
  ReadBasicType(is, binary, &dim_);
  ExpectToken(is, binary, "<Stddev>");
  ReadBasicType(is, binary, &stddev_);
  ExpectToken(is, binary, "</AdditiveNoiseComponent>");
}

Type()

virtual std::string Type ( ) const

inlinevirtual

Implements Component.

Definition at line 1648 of file nnet-component.h.

{ return "AdditiveNoiseComponent"; }

Write()

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

virtual

Write component to stream.

Implements Component.

Definition at line 3605 of file nnet-component.cc.

References kaldi::WriteBasicType(), and kaldi::WriteToken().

                                                                    {
  WriteToken(os, binary, "<AdditiveNoiseComponent>");
  WriteToken(os, binary, "<Dim>");
  WriteBasicType(os, binary, dim_);
  WriteToken(os, binary, "<Stddev>");
  WriteBasicType(os, binary, stddev_);
  WriteToken(os, binary, "</AdditiveNoiseComponent>");
}

Member Data Documentation

dim_

int32 dim_

private

Definition at line 1668 of file nnet-component.h.

stddev_

BaseFloat stddev_

private

Definition at line 1669 of file nnet-component.h.

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

• nnet2/nnet-component.h
• nnet2/nnet-component.cc