NnetDiscriminativeExample Struct Reference

NnetDiscriminativeExample is like NnetExample, but specialized for sequence training. More...

#include <nnet-discriminative-example.h>

Collaboration diagram for NnetDiscriminativeExample:

Public Member Functions
void	Write (std::ostream &os, bool binary) const
void	Read (std::istream &is, bool binary)
void	Swap (NnetDiscriminativeExample *other)
void	Compress ()
	NnetDiscriminativeExample ()
	NnetDiscriminativeExample (const NnetDiscriminativeExample &other)
bool	operator== (const NnetDiscriminativeExample &other) const

Public Attributes
std::vector< NnetIo >	inputs
	'inputs' contains the input to the network– normally just it has just one element called "input", but there may be others (e.g. More...
std::vector< NnetDiscriminativeSupervision >	outputs
	'outputs' contains the sequence output supervision. More...

Detailed Description

NnetDiscriminativeExample is like NnetExample, but specialized for sequence training.

Definition at line 103 of file nnet-discriminative-example.h.

Constructor & Destructor Documentation

NnetDiscriminativeExample() [1/2]

NnetDiscriminativeExample ( )

inline

Definition at line 123 of file nnet-discriminative-example.h.

{ }

NnetDiscriminativeExample() [2/2]

NnetDiscriminativeExample

(

const NnetDiscriminativeExample &

other

)

Definition at line 182 of file nnet-discriminative-example.cc.

                                                                                          :
    inputs(other.inputs), outputs(other.outputs) { }

Member Function Documentation

Compress()

void Compress

(

)

Definition at line 175 of file nnet-discriminative-example.cc.

Referenced by kaldi::nnet3::ProcessFile().

                                         {
  std::vector<NnetIo>::iterator iter = inputs.begin(), end = inputs.end();
  // calling features.Compress() will do nothing if they are sparse or already
  // compressed.
  for (; iter != end; ++iter) iter->features.Compress();
}

operator==()

bool operator== ( const NnetDiscriminativeExample &  other ) const

inline

Definition at line 127 of file nnet-discriminative-example.h.

References NnetDiscriminativeExample::inputs, and NnetDiscriminativeExample::outputs.

                                                                  {
    return inputs == other.inputs && outputs == other.outputs;
  }

Read()

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

Definition at line 150 of file nnet-discriminative-example.cc.

References kaldi::nnet3::ExpectToken(), rnnlm::i, KALDI_ERR, NnetDiscriminativeSupervision::Read(), and kaldi::ReadBasicType().

                                                                {
  ExpectToken(is, binary, "<Nnet3DiscriminativeEg>");
  ExpectToken(is, binary, "<NumInputs>");
  int32 size;
  ReadBasicType(is, binary, &size);
  if (size < 1 || size > 1000000)
    KALDI_ERR << "Invalid size " << size;
  inputs.resize(size);
  for (int32 i = 0; i < size; i++)
    inputs[i].Read(is, binary);
  ExpectToken(is, binary, "<NumOutputs>");
  ReadBasicType(is, binary, &size);
  if (size < 1 || size > 1000000)
    KALDI_ERR << "Invalid size " << size;
  outputs.resize(size);
  for (int32 i = 0; i < size; i++)
    outputs[i].Read(is, binary);
  ExpectToken(is, binary, "</Nnet3DiscriminativeEg>");
}

Swap()

void Swap

(

NnetDiscriminativeExample *

other

)

Definition at line 170 of file nnet-discriminative-example.cc.

References NnetDiscriminativeExample::inputs, and NnetDiscriminativeExample::outputs.

                                                                     {
  inputs.swap(other->inputs);
  outputs.swap(other->outputs);
}

Write()

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

Definition at line 125 of file nnet-discriminative-example.cc.

References rnnlm::i, KALDI_ASSERT, kaldi::WriteBasicType(), and kaldi::WriteToken().

                                                                       {
  // Note: weight, label, input_frames and spk_info are members.  This is a
  // struct.
  WriteToken(os, binary, "<Nnet3DiscriminativeEg>");
  WriteToken(os, binary, "<NumInputs>");
  int32 size = inputs.size();
  WriteBasicType(os, binary, size);
  KALDI_ASSERT(size > 0 && "Attempting to write NnetDiscriminativeExample with no inputs");
  if (!binary) os << '\n';
  for (int32 i = 0; i < size; i++) {
    inputs[i].Write(os, binary);
    if (!binary) os << '\n';
  }
  WriteToken(os, binary, "<NumOutputs>");
  size = outputs.size();
  WriteBasicType(os, binary, size);
  KALDI_ASSERT(size > 0 && "Attempting to write NnetDiscriminativeExample with no outputs");
  if (!binary) os << '\n';
  for (int32 i = 0; i < size; i++) {
    outputs[i].Write(os, binary);
    if (!binary) os << '\n';
  }
  WriteToken(os, binary, "</Nnet3DiscriminativeEg>");
}

Member Data Documentation

inputs

std::vector<NnetIo> inputs

'inputs' contains the input to the network– normally just it has just one element called "input", but there may be others (e.g.

one called "ivector")... this depends on the setup.

Definition at line 108 of file nnet-discriminative-example.h.

Referenced by NnetDiscriminativeComputeObjf::Compute(), kaldi::nnet3::GetDiscriminativeComputationRequest(), kaldi::nnet3::GetNnetDiscriminativeExampleSize(), main(), kaldi::nnet3::MergeDiscriminativeExamples(), NnetDiscriminativeExampleStructureCompare::operator()(), NnetDiscriminativeExample::operator==(), kaldi::nnet3::ProcessFile(), kaldi::nnet3::ShiftDiscriminativeExampleTimes(), NnetDiscriminativeExample::Swap(), and NnetDiscriminativeTrainer::Train().

outputs

std::vector<NnetDiscriminativeSupervision> outputs

'outputs' contains the sequence output supervision.

There will normally be just one member with name == "output".

Definition at line 112 of file nnet-discriminative-example.h.

Referenced by kaldi::nnet3::GetDiscriminativeComputationRequest(), kaldi::nnet3::GetNnetDiscriminativeExampleSize(), main(), kaldi::nnet3::MergeDiscriminativeExamples(), NnetDiscriminativeExampleStructureCompare::operator()(), NnetDiscriminativeExample::operator==(), kaldi::nnet3::ProcessFile(), NnetDiscriminativeComputeObjf::ProcessOutputs(), NnetDiscriminativeTrainer::ProcessOutputs(), kaldi::nnet3::ShiftDiscriminativeExampleTimes(), and NnetDiscriminativeExample::Swap().

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

• nnet3/nnet-discriminative-example.h
• nnet3/nnet-discriminative-example.cc